In this paper, we have proposed a hybrid push-pull protocol for peer-to-peer live video streaming. The
main goal of this research is to minimize the network end-to-end delay in comparison to pure mesh
networks. Hybrid protocols, in most cases, suffer from complex construction and maintenance. Therefore,
our proposed protocol uses a pure mesh topology and a single layer video coding. In summary, our pushpull protocol has two parts. The pull-based part which is done on the mesh network, and the push-based
part which consists of two phases: parent selection and tree construction. When a push procedure appears,
it is very important to prevent data redundancy. To satisfy this condition, we have introduced a parent
selection method. In this method, by parent selection based on the minimum arrival time, the most stable
node will be selected. This node has the advantage of maximizing the expected service time of the tree.
Using this method, there is no need for maintaining any extra information and topology control data.
Finally, we do performance evaluation using OMNeT++ simulator. The simulation results show that the
proposed architecture has better performance in start-up delay, end-to-end delay, and distortion than pure
mesh-based network.
In this paper, we have proposed a hybrid push-pull protocol for peer-to-peer live video streaming. The
main goal of this research is to minimize the network end-to-end delay in comparison to pure mesh
networks. Hybrid protocols, in most cases, suffer from complex construction and maintenance. Therefore,
our proposed protocol uses a pure mesh topology and a single layer video coding. In summary, our pushpull
protocol has two parts. The pull-based part which is done on the mesh network, and the push-based
part which consists of two phases: parent selection and tree construction. When a push procedure appears,
it is very important to prevent data redundancy. To satisfy this condition, we have introduced a parent
selection method. In this method, by parent selection based on the minimum arrival time, the most stable
node will be selected. This node has the advantage of maximizing the expected service time of the tree.
Using this method, there is no need for maintaining any extra information and topology control data.
Finally, we do performance evaluation using OMNeT++ simulator. The simulation results show that the
proposed architecture has better performance in start-up delay, end-to-end delay, and distortion than pure
mesh-based network.
MULTI-HOP BANDWIDTH MANAGEMENT PROTOCOL FOR MOBILE AD HOC NETWORKSIJMIT JOURNAL
An admission control scheme should play the role of a coordinator for flows in a data communication network, to provide the guarantees as the medium is shared. The nodes of a wired network can monitor the medium to know the available bandwidth at any point of time. But, in wireless ad hoc networks, a node must consume the bandwidth of neighboring nodes, during a communication. Hence, the consumption of bandwidth by a flow and the availability of resources to any wireless node strictly depend upon the neighboring nodes within its transmission range. We present a scalable and efficient admission control scheme, Multi-hop Bandwidth Management Protocol (MBMP), to support the QoS requirements
in multi-hop ad hoc networks. We simulate several options to design MBMP and compare the performances of these options through mathematical analysis and simulation results, and compare its effectiveness with the existing admission control schemes through extensive simulations.
Performance of MPLS-based Virtual Private Networks and Classic Virtual Privat...TELKOMNIKA JOURNAL
Multiprotocol Label Switching (MPLS) is effective in managing and utilizing available network bandwidth. It has advanced security features and a lower time delay. The existing literature has covered the performance of MPLS-based networks in relation to conventional Internet Protocol (IP) networks. But, too few literatures exist on the performance of MPLS-based Virtual Private Networks (VPN) in relation to traditional VPN networks. In this paper, a comparison is made between the effectiveness of the MPLS-VPN network and a classic VPN network using simulation studies done on OPNET®. The performance metrics used to carry out the comparison include; End to End Delay, Voice Packet Sent/Received and Label Switched Path’s Traffic. The simulation study was carried out with Voice over Internet Protocol (VoIP) as the test bed. The result of the study showed that MPLS-based VPN networks outperform classic VPN networks.
Performance improvement of bottleneck link in red vegas over heterogeneous ne...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
The exponential rise in wireless communication systems and allied applications has revitalized academiaindustries to achieve more efficient data transmission system to meet Quality-of-Service (QoS) demands. Amongst major wireless communication techniques, Mobile Ad-hoc Network (MANET) is found potential to provide decentralized and infrastructure less communication among multiple distributed nodes across network region. However, dynamic network conditions such as changing topology, congestion, packet drop, intrusion possibilities etc often make MANET’s routing a tedious task. On the other hand, mobile network feature broadens the horizon for intruders to penetrate the network and causes performance degradation. Unlike classical MANET protocols where major efforts have been made on single network parameter based routing decision, this research paper proposes a novel Elitist Genetic Algorithm (EGA) Multi-Objective Optimization assisted Network Condition Aware QoS-Routing Protocol for Mobile Ad-hoc Networks (MNCQM). Our proposed MNCQM protocol exhibits two phase implementation where at first it performs node-profiling under dynamic network topology for which three factors; irregular MAC information exchange, queuing overflow and topological variations have been considered. Towards this objective node features like Packet Forwarding Probability (PFP) at the MAC layer, Success Probability of Data Transmission (SPDT) of a neighboring node, and Probability of Successful Data Delivery (PSDD) have been obtained to estimate Node-Trustworthiness Index (NTI), which is further used to eliminate untrustworthy nodes. In the second phase of implementation, a novel Evolutionary Computing assisted nondisjoint best forwarding path selection model is developed that exploits node’s and allied link’s connectivity and availability features to identify the quasi-sub-optimal forwarding paths. EGA algorithm intends to reduce hop-counts, connectivity-loss and node or link unavailability to estimate best forwarding node. One key feature of the proposed model is dual-supplementary forwarding path selection that enables alternate path formation in case of link outage and thus avoids any iterative network discovery phase.
In this paper, we have proposed a hybrid push-pull protocol for peer-to-peer live video streaming. The
main goal of this research is to minimize the network end-to-end delay in comparison to pure mesh
networks. Hybrid protocols, in most cases, suffer from complex construction and maintenance. Therefore,
our proposed protocol uses a pure mesh topology and a single layer video coding. In summary, our pushpull
protocol has two parts. The pull-based part which is done on the mesh network, and the push-based
part which consists of two phases: parent selection and tree construction. When a push procedure appears,
it is very important to prevent data redundancy. To satisfy this condition, we have introduced a parent
selection method. In this method, by parent selection based on the minimum arrival time, the most stable
node will be selected. This node has the advantage of maximizing the expected service time of the tree.
Using this method, there is no need for maintaining any extra information and topology control data.
Finally, we do performance evaluation using OMNeT++ simulator. The simulation results show that the
proposed architecture has better performance in start-up delay, end-to-end delay, and distortion than pure
mesh-based network.
MULTI-HOP BANDWIDTH MANAGEMENT PROTOCOL FOR MOBILE AD HOC NETWORKSIJMIT JOURNAL
An admission control scheme should play the role of a coordinator for flows in a data communication network, to provide the guarantees as the medium is shared. The nodes of a wired network can monitor the medium to know the available bandwidth at any point of time. But, in wireless ad hoc networks, a node must consume the bandwidth of neighboring nodes, during a communication. Hence, the consumption of bandwidth by a flow and the availability of resources to any wireless node strictly depend upon the neighboring nodes within its transmission range. We present a scalable and efficient admission control scheme, Multi-hop Bandwidth Management Protocol (MBMP), to support the QoS requirements
in multi-hop ad hoc networks. We simulate several options to design MBMP and compare the performances of these options through mathematical analysis and simulation results, and compare its effectiveness with the existing admission control schemes through extensive simulations.
Performance of MPLS-based Virtual Private Networks and Classic Virtual Privat...TELKOMNIKA JOURNAL
Multiprotocol Label Switching (MPLS) is effective in managing and utilizing available network bandwidth. It has advanced security features and a lower time delay. The existing literature has covered the performance of MPLS-based networks in relation to conventional Internet Protocol (IP) networks. But, too few literatures exist on the performance of MPLS-based Virtual Private Networks (VPN) in relation to traditional VPN networks. In this paper, a comparison is made between the effectiveness of the MPLS-VPN network and a classic VPN network using simulation studies done on OPNET®. The performance metrics used to carry out the comparison include; End to End Delay, Voice Packet Sent/Received and Label Switched Path’s Traffic. The simulation study was carried out with Voice over Internet Protocol (VoIP) as the test bed. The result of the study showed that MPLS-based VPN networks outperform classic VPN networks.
Performance improvement of bottleneck link in red vegas over heterogeneous ne...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
The exponential rise in wireless communication systems and allied applications has revitalized academiaindustries to achieve more efficient data transmission system to meet Quality-of-Service (QoS) demands. Amongst major wireless communication techniques, Mobile Ad-hoc Network (MANET) is found potential to provide decentralized and infrastructure less communication among multiple distributed nodes across network region. However, dynamic network conditions such as changing topology, congestion, packet drop, intrusion possibilities etc often make MANET’s routing a tedious task. On the other hand, mobile network feature broadens the horizon for intruders to penetrate the network and causes performance degradation. Unlike classical MANET protocols where major efforts have been made on single network parameter based routing decision, this research paper proposes a novel Elitist Genetic Algorithm (EGA) Multi-Objective Optimization assisted Network Condition Aware QoS-Routing Protocol for Mobile Ad-hoc Networks (MNCQM). Our proposed MNCQM protocol exhibits two phase implementation where at first it performs node-profiling under dynamic network topology for which three factors; irregular MAC information exchange, queuing overflow and topological variations have been considered. Towards this objective node features like Packet Forwarding Probability (PFP) at the MAC layer, Success Probability of Data Transmission (SPDT) of a neighboring node, and Probability of Successful Data Delivery (PSDD) have been obtained to estimate Node-Trustworthiness Index (NTI), which is further used to eliminate untrustworthy nodes. In the second phase of implementation, a novel Evolutionary Computing assisted nondisjoint best forwarding path selection model is developed that exploits node’s and allied link’s connectivity and availability features to identify the quasi-sub-optimal forwarding paths. EGA algorithm intends to reduce hop-counts, connectivity-loss and node or link unavailability to estimate best forwarding node. One key feature of the proposed model is dual-supplementary forwarding path selection that enables alternate path formation in case of link outage and thus avoids any iterative network discovery phase.
A New Paradigm for Load Balancing in WMNsCSCJournals
In this paper, we address the problem of load balancing in Wireless Mesh Networks. We consider a Cluster Based Wireless Mesh Architecture in which the WMN is divided into clusters that could minimize the updating overhead during topology change due to mobility of mesh nodes or congestion of load on a cluster. Each cluster contains a gateway that has complete knowledge about group memberships and link state information in the cluster. The gateway is often elected in the cluster formation process. We consider load of gateways and try to reduce it. As a matter of fact when a gateway undertakes to be an interface for connecting nodes of a wireless mesh network to other networks or internet, there would be some problems such as congestion and bottleneck, so we introduce a new paradigm for these problems. For solving bottleneck we use clustering to reduce load of gateways and after that by use of dividing cluster we prevent from bottleneck on gateways. We study how to detect congestion on a gateway and how can reduce loads of it that preventing from bottleneck on gateway and therefore increasing throughput of network to encountering many loads. So we propose an algorithm to detect bottleneck and remedies for load balancing in Wireless Mesh Networks. We also use Ns2-Emultion for implementing and testing the framework. Some qualitative results are provided to prove the correctness and the advantages of our framework.
AN ADAPTIVE DIFFSERV APPROACH TO SUPPORT QOS IN NETWORK MOBILITY NEMO ENVIRON...IJCNCJournal
Network Mobility Basic Support (NEMO BS) protocol (RFC 3963) is an extension of Mobile IPv6. The NEMO BS embraced by IETF working group to permit any node in the portable network to be accessible to the Internet despite the fact the network itself is roaming. This protocol likewise Mobile IPv6 doesn’t deliver any kind of Quality of Service (QoS) guarantees to its clients. It can barely offer the same level of services (i.e. Best-Effort) to all the users without obligation to the application’s needs. This propositions a challenge to real-time applications that demand a precise level of QoS pledge. The Differentiated Services has recently come to be the most widely used QoS support technology in IP networks due to its relative simplicity and scalability benefits. This paper proposes a new scheme to provide QoS to mobile network nodes within NEMO context. The proposed scheme intends to reduce handover latency for the users of MNN as well as alleviates packet losses. The feasibility of the proposed enhancement is assessed by measuring its performance against the native NEMO BS standard protocol using NS-2 simulator. The obtained results in the simulation study have demonstrated that the proposed scheme outperforms the standard NEMO BS protocol.
Mpls vpn using vrf virtual routing and forwardingIJARIIT
Multi-Protocol Label Switching (MPLS) which was introduced by Internet Engineering Task Force (IETF) is
usually used in communication networks which started attracting all the internet service provider(ISP) networks with its
brilliant and excellent features that provide quality of services (QOS)and guarantees to traffic which carries data from one
network to another network directly through labels.
Virtual Private Network (VPN) is one of the highly useful MPLS applications which allow a service provider or a large enterprise
network to offer network Layer VPN services that guarantee and carries traffic securely and privately from customer’s one to
another through the service provider’s network. To support multiple customers that Customers Request for secure, reliable,
private and ultrafast connections over the internet MPLS VPN standards include the concept of a virtual router. This feature
called a VRF table. VRF or Virtual Routing and Forwarding technology that permit a router to have various routing table or
multiple VPN at the same time that they are located in the same router but they are independent and also the VRF feature in
VPN now allows different customers to use same IP addresses connected to the same ISP. A VRF exists inside a single MPLS
router and typically routers need at least one VRF for each customer attached to that particular router.
3 S W 2009 I E E E Abstracts Java, N C C T Chennaincct
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New adaptation method based on cross layer and TCP over protocols to improve ...IJECEIAES
Due to rapid growth of multimedia traffic used over the mobile ad-hoc networks (MANETs), to keep up with the progress of this constraint MANETs protocols becoming increasingly concerned with the quality of service. In view of the random mobility nodes in MANET, TCP becomes more unreliability in case of higher energy consumption and packet loss. In this paper we proposed a new optimization approach to enhance decision making of TCP based on some changes of IEEE 802.11 MAC uses cross layer approach. The aim is to minimize the impact of retransmissions of packet lost and energy consumption in order to analyse and chose the appropriate routing protocol for TCP that can be enhance QoS MANET. Our simulation results based QoS study using NS3 show that, our proposal achieved better performance of TCP in MANETs significantly, and also improved the throughput, energy consumption and facilitates the traffic transmission over routing protocol.
As the data center network scales out (both through the addition of more servers per pod and the interconnection of more pods per data center), conventional Ethernet designs need to be modified. This section will consider the evolution from conventional network design to several
emerging standards that will support higher scalability and more complex network topologies.
International Journal of Peer to Peer Networks (IJP2P) Vol.6, No.2, August 20...ijp2p
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live
Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the
development of distributed P2P block schedulers for content exchange among the participating peers and
on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.
Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed
monitoring and control architectures that use resources from the cloud in order to enhance QoS and
achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures
are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple
network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol
that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently
exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network
congestion, and v) is friendly to traditional TCP generated traffic. The proposed P2P congestion control
has been implemented, tested and evaluated through a series of real experiments powered across the
BonFIRE infrastructure
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live
Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the
development of distributed P2P block schedulers for content exchange among the participating peers and
on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.
Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed
monitoring and control architectures that use resources from the cloud in order to enhance QoS and
achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures
are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple
network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol
that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently
exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network
congestion, and v) is friendly to traditional TCP generated traffic. The proposed P2P congestion control
has been implemented, tested and evaluated through a series of real experiments powered across the
BonFIRE infrastructure.
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the development of distributed P2P block schedulers for content exchange among the participating peers and on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed monitoring and control architectures that use resources from the cloud in order to enhance QoS and achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network congestion, and v) is friendly to traditional TCP generated traffic.The proposed P2P congestion control has been implemented, tested and evaluated through a series of real experiments powered across the BonFIRE infrastructure.
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live
Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the
development of distributed P2P block schedulers for content exchange among the participating peers and
on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.
Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed
monitoring and control architectures that use resources from the cloud in order to enhance QoS and
achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures
are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple
network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol
that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently
exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network
congestion, and v) is friendly to traditional TCP generated traffic. The proposed P2P congestion control
has been implemented, tested and evaluated through a series of real experiments powered across the
BonFIRE infrastructure.
Revamping quality of service of video streaming over wireless laneSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
PEER-TO-PEER LIVE STREAMING AND VIDEO ON DEMAND DESIGN ISSUES AND ITS CHALLEN...ijp2p
Peer-to-Peer Live streaming and Video on Demand is the most popular media applications over the
Internet in recent years. These systems reduce the load on the server and provide a scalable content
distribution. A new paradigm of P2P network collaborates to build large distributed video applications
on existing networks .But, the problem of designing the system are at par with the P2P media streaming,
live and Video on demand systems. Hence a comprehensive design comparison is needed to build such
kind of system architecture. Therefore, in this paper we elaborately studied the traditional approaches for
P2P streaming architectures, and its critical design issues, as well as practicable challenges. Thus, our
studies in this paper clearly point the tangible design issues and its challenges, and other intangible
issues for providing P2P VoD services.
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
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Real Time Projects, Live Projects, Student Projects, Engineering Projectsncct
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A New Paradigm for Load Balancing in WMNsCSCJournals
In this paper, we address the problem of load balancing in Wireless Mesh Networks. We consider a Cluster Based Wireless Mesh Architecture in which the WMN is divided into clusters that could minimize the updating overhead during topology change due to mobility of mesh nodes or congestion of load on a cluster. Each cluster contains a gateway that has complete knowledge about group memberships and link state information in the cluster. The gateway is often elected in the cluster formation process. We consider load of gateways and try to reduce it. As a matter of fact when a gateway undertakes to be an interface for connecting nodes of a wireless mesh network to other networks or internet, there would be some problems such as congestion and bottleneck, so we introduce a new paradigm for these problems. For solving bottleneck we use clustering to reduce load of gateways and after that by use of dividing cluster we prevent from bottleneck on gateways. We study how to detect congestion on a gateway and how can reduce loads of it that preventing from bottleneck on gateway and therefore increasing throughput of network to encountering many loads. So we propose an algorithm to detect bottleneck and remedies for load balancing in Wireless Mesh Networks. We also use Ns2-Emultion for implementing and testing the framework. Some qualitative results are provided to prove the correctness and the advantages of our framework.
AN ADAPTIVE DIFFSERV APPROACH TO SUPPORT QOS IN NETWORK MOBILITY NEMO ENVIRON...IJCNCJournal
Network Mobility Basic Support (NEMO BS) protocol (RFC 3963) is an extension of Mobile IPv6. The NEMO BS embraced by IETF working group to permit any node in the portable network to be accessible to the Internet despite the fact the network itself is roaming. This protocol likewise Mobile IPv6 doesn’t deliver any kind of Quality of Service (QoS) guarantees to its clients. It can barely offer the same level of services (i.e. Best-Effort) to all the users without obligation to the application’s needs. This propositions a challenge to real-time applications that demand a precise level of QoS pledge. The Differentiated Services has recently come to be the most widely used QoS support technology in IP networks due to its relative simplicity and scalability benefits. This paper proposes a new scheme to provide QoS to mobile network nodes within NEMO context. The proposed scheme intends to reduce handover latency for the users of MNN as well as alleviates packet losses. The feasibility of the proposed enhancement is assessed by measuring its performance against the native NEMO BS standard protocol using NS-2 simulator. The obtained results in the simulation study have demonstrated that the proposed scheme outperforms the standard NEMO BS protocol.
Mpls vpn using vrf virtual routing and forwardingIJARIIT
Multi-Protocol Label Switching (MPLS) which was introduced by Internet Engineering Task Force (IETF) is
usually used in communication networks which started attracting all the internet service provider(ISP) networks with its
brilliant and excellent features that provide quality of services (QOS)and guarantees to traffic which carries data from one
network to another network directly through labels.
Virtual Private Network (VPN) is one of the highly useful MPLS applications which allow a service provider or a large enterprise
network to offer network Layer VPN services that guarantee and carries traffic securely and privately from customer’s one to
another through the service provider’s network. To support multiple customers that Customers Request for secure, reliable,
private and ultrafast connections over the internet MPLS VPN standards include the concept of a virtual router. This feature
called a VRF table. VRF or Virtual Routing and Forwarding technology that permit a router to have various routing table or
multiple VPN at the same time that they are located in the same router but they are independent and also the VRF feature in
VPN now allows different customers to use same IP addresses connected to the same ISP. A VRF exists inside a single MPLS
router and typically routers need at least one VRF for each customer attached to that particular router.
3 S W 2009 I E E E Abstracts Java, N C C T Chennaincct
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New adaptation method based on cross layer and TCP over protocols to improve ...IJECEIAES
Due to rapid growth of multimedia traffic used over the mobile ad-hoc networks (MANETs), to keep up with the progress of this constraint MANETs protocols becoming increasingly concerned with the quality of service. In view of the random mobility nodes in MANET, TCP becomes more unreliability in case of higher energy consumption and packet loss. In this paper we proposed a new optimization approach to enhance decision making of TCP based on some changes of IEEE 802.11 MAC uses cross layer approach. The aim is to minimize the impact of retransmissions of packet lost and energy consumption in order to analyse and chose the appropriate routing protocol for TCP that can be enhance QoS MANET. Our simulation results based QoS study using NS3 show that, our proposal achieved better performance of TCP in MANETs significantly, and also improved the throughput, energy consumption and facilitates the traffic transmission over routing protocol.
As the data center network scales out (both through the addition of more servers per pod and the interconnection of more pods per data center), conventional Ethernet designs need to be modified. This section will consider the evolution from conventional network design to several
emerging standards that will support higher scalability and more complex network topologies.
International Journal of Peer to Peer Networks (IJP2P) Vol.6, No.2, August 20...ijp2p
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live
Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the
development of distributed P2P block schedulers for content exchange among the participating peers and
on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.
Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed
monitoring and control architectures that use resources from the cloud in order to enhance QoS and
achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures
are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple
network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol
that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently
exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network
congestion, and v) is friendly to traditional TCP generated traffic. The proposed P2P congestion control
has been implemented, tested and evaluated through a series of real experiments powered across the
BonFIRE infrastructure
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live
Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the
development of distributed P2P block schedulers for content exchange among the participating peers and
on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.
Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed
monitoring and control architectures that use resources from the cloud in order to enhance QoS and
achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures
are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple
network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol
that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently
exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network
congestion, and v) is friendly to traditional TCP generated traffic. The proposed P2P congestion control
has been implemented, tested and evaluated through a series of real experiments powered across the
BonFIRE infrastructure.
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the development of distributed P2P block schedulers for content exchange among the participating peers and on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed monitoring and control architectures that use resources from the cloud in order to enhance QoS and achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network congestion, and v) is friendly to traditional TCP generated traffic.The proposed P2P congestion control has been implemented, tested and evaluated through a series of real experiments powered across the BonFIRE infrastructure.
In recent years, research efforts tried to exploit peer-to-peer (P2P) systems in order to provide Live
Streaming (LS) and Video-on-Demand (VoD) services. Most of these research efforts focus on the
development of distributed P2P block schedulers for content exchange among the participating peers and
on the characteristics of the overlay graph (P2P overlay) that interconnects the set of these peers.
Currently, researchers try to combine peer-to-peer systems with cloud infrastructures. They developed
monitoring and control architectures that use resources from the cloud in order to enhance QoS and
achieve an attractive trade-off between stability and low cost operation. However, there is a lack of
research effort on the congestion control of these systems and the existing congestion control architectures
are not suitable for P2P live streaming traffic (small sequential non persistent traffic towards multiple
network locations). This paper proposes a P2P live streaming traffic aware congestion control protocol
that: i) is capable to manage sequential traffic heading to multiple network destinations , ii) efficiently
exploits the available bandwidth, iii) accurately measures the idle peer resources, iv) avoids network
congestion, and v) is friendly to traditional TCP generated traffic. The proposed P2P congestion control
has been implemented, tested and evaluated through a series of real experiments powered across the
BonFIRE infrastructure.
Revamping quality of service of video streaming over wireless laneSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
PEER-TO-PEER LIVE STREAMING AND VIDEO ON DEMAND DESIGN ISSUES AND ITS CHALLEN...ijp2p
Peer-to-Peer Live streaming and Video on Demand is the most popular media applications over the
Internet in recent years. These systems reduce the load on the server and provide a scalable content
distribution. A new paradigm of P2P network collaborates to build large distributed video applications
on existing networks .But, the problem of designing the system are at par with the P2P media streaming,
live and Video on demand systems. Hence a comprehensive design comparison is needed to build such
kind of system architecture. Therefore, in this paper we elaborately studied the traditional approaches for
P2P streaming architectures, and its critical design issues, as well as practicable challenges. Thus, our
studies in this paper clearly point the tangible design issues and its challenges, and other intangible
issues for providing P2P VoD services.
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
Real Time Projects, Live Projects, Student Projects, Engineering Projectsncct
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
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final Year Projects, Final Year Projects in Chennai, Software Projects, Embedded Projects, Microcontrollers Projects, DSP Projects, VLSI Projects, Matlab Projects, Java Projects, .NET Projects, IEEE Projects, IEEE 2009 Projects, IEEE 2009 Projects, Software, IEEE 2009 Projects, Embedded, Software IEEE 2009 Projects, Embedded IEEE 2009 Projects, Final Year Project Titles, Final Year Project Reports, Final Year Project Review, Robotics Projects, Mechanical Projects, Electrical Projects, Power Electronics Projects, Power System Projects, Model Projects, Java Projects, J2EE Projects, Engineering Projects, Student Projects, Engineering College Projects, MCA Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, Wireless Networks Projects, Network Security Projects, Networking Projects, final year projects, ieee projects, student projects, college projects, ieee projects in chennai, java projects, software ieee projects, embedded ieee projects, "ieee2009projects", "final year projects", "ieee projects", "Engineering Projects", "Final Year Projects in Chennai", "Final year Projects at Chennai", Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, Final Year Java Projects, Final Year ASP.NET Projects, Final Year VB.NET Projects, Final Year C# Projects, Final Year Visual C++ Projects, Final Year Matlab Projects, Final Year NS2 Projects, Final Year C Projects, Final Year Microcontroller Projects, Final Year ATMEL Projects, Final Year PIC Projects, Final Year ARM Projects, Final Year DSP Projects, Final Year VLSI Projects, Final Year FPGA Projects, Final Year CPLD Projects, Final Year Power Electronics Projects, Final Year Electrical Projects, Final Year Robotics Projects, Final Year Solor Projects, Final Year MEMS Projects, Final Year J2EE Projects, Final Year J2ME Projects, Final Year AJAX Projects, Final Year Structs Projects, Final Year EJB Projects, Final Year Real Time Projects, Final Year Live Projects, Final Year Student Projects, Final Year Engineering Projects, Final Year MCA Projects, Final Year MBA Projects, Final Year College Projects, Final Year BE Projects, Final Year BTech Projects, Final Year ME Projects, Final Year MTech Projects, Final Year M.Sc Projects, IEEE Java Projects, ASP.NET Projects, VB.NET Projects, C# Projects, Visual C++ Projects, Matlab Projects, NS2 Projects, C Projects, Microcontroller Projects, ATMEL Projects, PIC Projects, ARM Projects, DSP Projects, VLSI Projects, FPGA Projects, CPLD Projects, Power Electronics Projects, Electrical Projects, Robotics Projects, Solor Projects, MEMS Projects, J2EE Projects, J2ME Projects, AJAX Projects, Structs Projects, EJB Projects, Real Time Projects, Live Projects, Student Projects, Engineering Projects, MCA Projects, MBA Projects, College Projects, BE Projects, BTech Projects, ME Projects, MTech Projects, M.Sc Projects, IEEE 2009 Java Projects, IEEE 2009 ASP.NET Projects, IEEE 2009 VB.NET Projects, IEEE 2009 C# Projects, IEEE 2009 Visual C++ Projects, IEEE 2009 Matlab Projects, IEEE 2009 NS2 Projects, IEEE 2009 C Projects, IEEE 2009 Microcontroller Projects, IEEE 2009 ATMEL Projects, IEEE 2009 PIC Projects, IEEE 2009 ARM Projects, IEEE 2009 DSP Projects, IEEE 2009 VLSI Projects, IEEE 2009 FPGA Projects, IEEE 2009 CPLD Projects, IEEE 2009 Power Electronics Projects, IEEE 2009 Electrical Projects, IEEE 2009 Robotics Projects, IEEE 2009 Solor Projects, IEEE 2009 MEMS Projects, IEEE 2009 J2EE P
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A HYBRID PUSH-PULL OVERLAY NETWORK FOR PEER-TO-PEER VIDEO STREAMING
1. International Journal of Peer to Peer Networks (IJP2P) Vol.6, No.1, February 2015
DOI : 10.5121/ijp2p.2015.6101 1
A HYBRID PUSH-PULL OVERLAY NETWORK FOR
PEER-TO-PEER VIDEO STREAMING
Seyed Mehran Ronaghi1
and Behzad Akbari2
1
Department of Electrical and Computer Engineering, Qazvin Islamic Azad University,
Qazvin, Iran
2
Department of Electrical and Computer Engineering, Tarbiat Modares University,
Tehran, Iran
ABSTRACT
In this paper, we have proposed a hybrid push-pull protocol for peer-to-peer live video streaming. The
main goal of this research is to minimize the network end-to-end delay in comparison to pure mesh
networks. Hybrid protocols, in most cases, suffer from complex construction and maintenance. Therefore,
our proposed protocol uses a pure mesh topology and a single layer video coding. In summary, our push-
pull protocol has two parts. The pull-based part which is done on the mesh network, and the push-based
part which consists of two phases: parent selection and tree construction. When a push procedure appears,
it is very important to prevent data redundancy. To satisfy this condition, we have introduced a parent
selection method. In this method, by parent selection based on the minimum arrival time, the most stable
node will be selected. This node has the advantage of maximizing the expected service time of the tree.
Using this method, there is no need for maintaining any extra information and topology control data.
Finally, we do performance evaluation using OMNeT++ simulator. The simulation results show that the
proposed architecture has better performance in start-up delay, end-to-end delay, and distortion than pure
mesh-based network.
KEYWORDS
Video Streaming, Peer-to-Peer, Overlay Multicasting, Push-Pull, Mesh Structure
1. INTRODUCTION
Video Streaming over the Internet has recently attracted a lot of users. Despite the remarkable
progress in network technologies, both in the access layer and the core layer, and providing users
with high-speed Internet connection, the development of large-scale video streaming system still
faces many challenges. These challenges are posed by the very strict requirements for quality of
video streaming service. Video streaming applications require high bandwidth. They are very
sensitive to packet delay and loss. One solution for video streaming over the Internet is client-
server service model. Using this model for large-scale video streaming applications over the
Internet requires a large number of video servers and high bandwidth. In addition, the reliability
of the model is a question because the service is dependent on one or several machines.
Therefore, the best service model for this type of applications is the multicast service model.
Peer-to-peer networks have recently emerged as a new paradigm to build distributed network
applications such as multicasting. In peer-to-peer systems, the Internet hosts organize themselves
into an overlay network over the Internet and in the application layer of the Internet, and share
their own resources such as processing power, memory and uploading bandwidth. In an overlay
network, each peer stores data and forwards them to other peers. In this model, the uploading
bandwidth of end users is efficiently utilized to reduce the bandwidth burdens otherwise placed
on the servers. However, the deployment of overlay multicasting for video streaming faces many
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challenges. These challenges are posed by the inherent characteristics of overlay networks. Nodes
in overlay networks are the Internet hosts. Low uploading bandwidth of many Internet users and
heterogeneity of their bandwidth, their departures, and the lack of quality of service guarantee on
the Internet, make good quality video delivery in an overlay network challenging.
In this paper, we consider the inherent limitations of overlay networks and positive characteristics
of them, and propose a structure to improve the quality of video delivery in peer-to-peer live
video streaming systems.
The rest of the paper is organized as follows: in the next section, we explain technical background
on peer-to-peer video streaming and related work on hybrid push-pull model. In section 3,
proposed method to improve overlay network structure for live video streaming is presented. In
section 4, the proposed method is evaluated. Conclusion and future work are presented in section
5.
2. BACKGROUND AND RELATED WORK
Peer-to-peer streaming systems can be broadly classified into two categories based on the overlay
network structure: tree-based and mesh-based [1]. Tree-based systems in comparison to mesh-
based systems, in terms of data delivery delay are better and optimization of their overlay
network structure, in terms of quality of service is less complex. In contrast, construction of
resistant tree to peer churn is very challenging. Multi-tree methods are an attempt to solve this
problem, but optimization of multi-tree structures in terms of quality of service is very difficult
and sometimes impossible.
Unlike tree structures, construction of mesh structures is simple and this type of networks is
resistant to peer churn, but searching video chunks in them is time consuming and causes long
delay in playing video.
Regarding the characteristics of peer-to-peer overlay network structures, the mesh structure can
be the appropriate structure for video streaming. In spite of various advantages, mesh-based
systems suffer from some problems. The most important one is delay. The solution proposed to
solve this problem is a hybrid structure. Hybrid structures are usually constructed by combining
both tree and mesh structures. In these structures, the tree structure is used to push the video
contents, and the mesh structure is used to pull the missing video chunks. In other words, the data
transmission mechanism is push and pull.
In this paper, we try to exploit the advantages of tree and mesh structures and combine them
together and introduce a new hybrid push-pull protocol for live video streaming. The main goal of
this design is to minimize the network end-to-end delay and improve the quality of video delivery
in comparison to pure mesh networks. In this section, we survey the state of the art push-pull
peer-to-peer video streaming systems.
2.1. New Cool Streaming
The New Cool Streaming [2] is the reformed version of the Cool Streaming [3] in which instead
of the pull mechanism, the push-pull is deployed.
In the New Cool Streaming, the video is divided into N sub-stream without any coding
techniques. These sub-streams contain the video block and all nodes can request each sub-stream
separately. The push mechanism in the New Cool Streaming works in the way that: the
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information about sub-streams and their contents (video blocks) is carried in the nodes’ buffer
maps that are exchanged between them periodically. Each node based on the missing video block,
requests that block within a single pull request. Then, the provider will push the sub-stream that
contains that video block to the node.
Overhead reduction and time saving during block transmission from the sender to the receiver are
the most significant advantages of the New Cool Streaming protocol.
2.2. PRIME
Peers in PRIME [4] preserve a randomly connected and directed overlay (mesh-shaped overlay).
The parent-child relationship governs on PRIME in which the content is delivered from parent to
child nodes. PRIME does its job based on two phases: diffusion phase and swarming phase.
Diffusion phase: where data rapidly flows away from source, and is followed by a swarming
phase. Swarming phase: where peers exchange their packets (through pull approach). In the
swarming approach, each overlay node advertises to its neighbours which packets (or blocks of
packets) it has received, and the neighbours explicitly request blocks as needed.
Impact of overlay connectivity and source behaviour on the performance of content delivery is
examined in this paper. Other key factors, which are examined on the performance of this
method, are bandwidth bottleneck, content bottleneck and peer population. In this protocol,
increase in loss rate causes rapid drop in the delivered quality for large peer degrees. In addition,
the percentage of peers with high quality in a bidirectional overlay is 10%-20% less than the
unidirectional overlay over the sweet range of peer degree. Furthermore, bidirectional
connections reduce the number of swarming shortcuts among diffusion sub-trees and thus
increase the percentage of content bottleneck during the swarming phase.
The main goal of PRIME is to minimize the bandwidth bottleneck by satisfied bandwidth-degree
and also to minimize the content bottleneck by utilizing the outgoing bandwidth and deriving a
pattern of content delivery. The advantages of the swarming approach are its simplicity (it
requires no complex distributed algorithm to build trees) and its robustness (any neighbour can be
called upon to contribute blocks of data, so the loss of any given neighbour does not cause a
discontinuity in data delivery).
In the swarming method, a basic trade-off between control overhead and delay should be
considered.
2.3. mTreebone
The key idea of the proposed method given in mTreebone [5] is to identify a set of stable nodes to
construct a tree-based backbone, called treebone, with most of the data being pushed over this
backbone. These stable nodes, together with others, are further organized through an auxiliary
mesh overlay. In this paper, stable node refers to the nodes with relatively long lifetime. This
protocol minimized start-up latency and transmission delay.
The most plus points in the mentioned protocol are low overhead, low delay, high efficiency and
robustness. The protocol also avoids data redundancy and reduces data loss in the tree repairing
process. In addition, the protocol accommodates node dynamics and uses all the available
bandwidth. But due to peer churn, the performance of system decreases. Two other main
drawbacks are bandwidth-constrained case and Flash crowd case. The protocol should conduct
experiment of larger scale over the Internet.
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3. THE PROPOSED METHOD FOR VIDEO STREAMING
Hybrid protocols, in most cases, suffer from construction complexity and maintenance difficulty.
It is obvious that complex construction and maintenance cause high overhead in the control unit.
Therefore, our proposed protocol focuses on a pure mesh structure and uses a single layer video
coding in its video delivery system. In this method, we use a frame-based video delivery method.
In other words, our definition of a video chunk is a video frame. In summary, our push-pull
protocol has two parts. The pull-based part which is done on the mesh structure, and the push-
based part which consists of two phases. The first phase is to select a parent node in the mesh
structure, and the second phase is to construct a dynamic tree over the mesh structure in order to
push the most important video frames within it. In the following subsections, we explain the
protocol mechanism in detail.
3.1. Pull-based Part
Mesh-based video streaming has a simple algorithm. When a peer joins the network, firstly, it
contacts a node so-called tracker that has global information about existing peers in the network.
The peer requests a number of neighbours. The tracker sends back the addresses of some peers
corresponding to the requested number with their arrival time. Then, the newly joined peer
contacts each of them and requests to make a relationship. On the opposite side, if the peer has a
free position for the node’s request, will accept it; otherwise, will deny it. When the newly joined
peer receives the acceptance message, it sends an acknowledgment message to confirm the
neighbouring connection between itself and the opposite peer.
After the connection is established between two nodes, they start to periodically exchange the
buffer map. The buffer map is a map that shows the available video frames in the node’s buffer.
Each peer looks at its buffer and finds the first unset frame, which is going to be played. When
the neighbours’ buffer maps arrive, the peer seeks the unset frame in its neighbours’ buffer maps
list to find out which of neighbours has the frame. In a simple way, the peer requests the
neighbour who has the frame. Sometimes a situation occurs in which more than one neighbour
has the foregoing frame. In this case, we consider that the peer randomly selects a neighbour who
has the frame. If a neighbour could not send back the requested frame for any reason within a
specific time, the peer will request the frame again but from another neighbour. The specific time
for requesting and retrieving the frame is defined as Round Trip Time (RTT). If the requested
frame does not arrive within a time less than the RTT seconds, the peer will repeat its request.
Mesh structure used in this paper, is similar to what was proposed in Coolstreaming/DONet [3].
This method has a simple scheduling algorithm for requesting the frames from neighbours. The
fundamental advantage of this method is that it eliminates the requirement for constructing and
maintaining any specific overlay network.
3.2. Push-based Part
To achieve our goal that is deploying the push mechanism on a pure pull-based mesh structure,
we introduce a new frame-based scheduling mechanism in our protocol. As mentioned in the
previous subsection, we defined each video frame as a chunk in the network. We use the MPEG4-
Part1 compression standard and its typical group of picture (GoP) structure. In this structure with
size of 12, there exists one I-frame, three P-frames and eight B-frames.
I-frames are just still pictures coded using a variant of JPEG, also using full resolution luminance
and half-resolution chrominance along each axis. To code these frames, motion estimation and
compensation techniques are not used. In other words, these frames are not dependent on other
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frames. P-frames, in contrast, code inter-frame differences. They are predicted from their
previous I-frames or P-frames. B-frames are similar to P-frames, except that they are bidirectional
and interpolated from their previous and next I-frames or P-frames.
By considering these principles, if the I-frame of a GoP is lost, then all the received frames of
corresponding GoP will be lost. If P-frames of a GoP are also lost, the following correctly
received frames will be lost. Due to importance of I-frames and P-frames, in proposed method,
we push I-frames and P-frames on the mesh network.
When a push procedure appears, it is very important to prevent data redundancy. To satisfy this
condition, we introduce a parent selection method. In this method, the most stable node will be
selected as the parent in order to maximize the expected service time of the tree. Recent studies
have found that, in overlay multicast systems, nodes already with higher ages tend to stay longer
[6]. Hence, a node’s age partially reflects its stability.
Previous studies on video client behaviour have suggested that node duration generally follows a
heavy-tailed distribution [7-9], in particular, the Pareto distribution. In other words, the age
threshold for a node arriving at time t is 30% of the residual session length [5].
Therefore, the node with highest age will be selected as the parent. In other words, among the
peer’s neighbours, the neighbour who has the minimum arrival time is the best candidate to be
chosen as the parent node.
Hence, when a peer wants to select the parent, it compares its neighbours’ arrival time and
chooses the neighbour with the minimum arrival time among the neighbours. Then the child
sends the push request to the parent. On the other hand, when a node receives a push request, if it
has free position to accept a child, it will accept; otherwise, it will deny informing the child that it
has no available seat for the request sender.
As we select only one parent for each child, the data redundancy will be controlled in a true
manner. In addition, by parent selection based on minimum arrival time, the most stable node will
be selected. The most stable node has the advantage of maximizing the expected service time of
the tree. Using the parent selection method causes construction of a dynamic tree over the mesh
structure without maintaining additional structure.
After the parent selection process, when a parent node receives I-frame or P-frame, it will push
that frame to its children. On the other hand, in order to prevent data redundancy, if a peer has a
parent, it does not ask I-frames and P-frames. If the frame is not pushed and retrieved before RTT
seconds to its playback time, it will be requested by the child node.
4. PERFORMANCE EVALUATION
We use OMNeT++ [10] as the platform, which is a modular and discrete event simulator for
simulating various communication networks. We also use the INET framework [11] to simulate
the Internet in OMNeT++. The INET framework implements physical, data link, network, and
transport layer protocols in OMNeT++. We use OverSim framework [12] to construct the overlay
network in OMNeT++. OverSim is a reusable framework in OMNeT++ for simulating overlay
networks. OverSim uses INET framework for simulating underlay layers. Table 1 shows the
simulation parameters.
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In this section to quantify the QoS, we define some metrics and carry out an analysis of
simulation results based on these metrics. These metrics are start-up delay, end-to-end delay, and
distortion.
Table 1. Simulation parameters.
Parameter Value
Maximum packet size 1000 Bytes
Peer-side buffer 40 seconds
Buffer map exchange period 1 second
Video codec MPEG4-Part1
Video frame per second 25 frames
Number of frames in a GoP 12 frames
Number of B-frames between
frames
2 frames
Selected trace file StarWarsIV
Average video bit rate 512 Kbps
Number of neighbors Random(3,5)
Node’s bandwidth
Random(764Kbps,1.5M
bps)
Video chunk size 1 frame
Simulation duration 200 seconds
4.1. Start-up Delay
The time between connecting to the mesh and starting video playback is called start-up delay. It is
a random variable and depends directly on start-up buffering and the network delay. Start-up
buffering is time of video that is needed to be buffered before starting playing. We do all the
simulations with start-up buffering 8 seconds.
Figure 1 shows average start-up delay in proposed method compared with pure mesh-based
network. As depicted in Figure 1, the proposed method has less start-up delay compared with
pure mesh-based network.
Figure 1. Average start-up delay in proposed method compared with pure mesh-based network
9
10
11
12
13
14
15
0 100 200 300 400 500
StartupDelay(s)
NetworkSize (Number of Peers)
Pure Mesh-based Network
Hybrid Push-Pull Network
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4.2. End-to-End Delay
The time between creating a frame in the source node (server) and playing it in the destination
node is defined as end-to-end delay. Figure 2 shows average end-to-end delay in proposed
method compared with pure mash-based network. As depicted in Figure 2, the delay produced in
the proposed method is lower than the pure mesh-based network because the push method
reduces the number of request/response messaging procedures; hence, the end-to-end delay
decreases.
Figure 2. Average end-to-end delay in proposed method compared with pure mesh-based network
4.3. Video Distortion
Video degradation due to video content loss is defined as video distortion. This metric can be
obtained from the following formula.
Distortion= 1-
Total number of received frames
Total number of frames
×100
A frame may be lost due to network congestion, error, delay, no dependent frames in video
player.
As depicted in Figure 3, video distortion in proposed method is less than pure mesh-based
network. The reason is that the push method prevents late arrival loss of frames, which causes the
frame to be useless for playing.
Figure 3 shows average video distortion in proposed method compared with pure mesh-based network.
5
15
25
35
45
0 100 200 300 400 500
End-to-EndDelay(s)
NetworkSize (Number of Peers)
Pure Mesh-based Network
Hybrid Push-Pull Network
5
7
9
11
13
15
17
0 100 200 300 400 500
Distortion(%)
NetworkSize (Number of Peers)
Pure Mesh-based Network
Hybrid Push-Pull Network
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5. CONCLUSION AND FUTURE WORK
In this paper, we proposed a hybrid structure in which a part of video stream in tree and other
parts in mesh network are distributed among the members of a multicasting group in order to
improve the quality of video delivery in peer-to-peer live video streaming systems. In summary,
our push-pull protocol has two parts. The pull-based part which is done on the mesh network, and
the push-based part which consists of two phases. The first phase is to select a parent node in the
mesh topology, and the second phase is to construct a dynamic tree in order to push the most
important video frames within it. Finally, we did performance evaluation of proposed method in
comparison to pure mesh-based network using OMNeT++ simulator. The simulation results
showed that the proposed method has better performance in start-up delay, end-to-end delay, and
distortion than pure mesh-based network.
Our suggestions for future work are using resource allocation techniques in nodes, in particular,
parent nodes to achieve more scalability and resistance, also packet loss recovery in overlay
connections, and adding incentive mechanisms.
REFERENCES
[1] Liu Y., Guo Y., and Liang C., “A survey on peer-to-peer video streaming systems”, Peer-to-Peer
Networking and Applications, vol. 1, no. 1, pp. 18-28, 2008.
[2] Li B., Xie S., Qu Y., Keung G. Y., Lin C., Liu J., and Zhang X., “Inside the new coolstreaming:
principles, measurements and performance implications”, IEEE INFOCOM proc., pp. 1031–1039,
2008.
[3] Zhang X., Liu J., Li B., and Yum T.-S. P., “CoolStreaming/DONet: A Data-driven Overlay Network
for Peer-to-Peer Live Media Streaming”, IEEE INFOCOM proc., pp. 2102-2111, 2005.
[4] Magharei N., and Rejaie R., “Prime: peer-to-peer receiver-driven mesh-based streaming”, IEEE/ACM
Transactions on Networking, vol. 17, no. 4, pp. 1052–1065, 2009.
[5] Wang F., Xiong Y., Liu J., “mTreebone: A Collaborative Tree-Mesh Overlay Network for Multicast
Video Streaming”, IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 3, pp. 379–
392, 2010.
[6] Bishop M., Rao S., and Sripanidkulchai K., “Considering priority in overlay multicast protocols under
heterogeneous environments”, IEEE INFOCOM proc., 2006.
[7] Almeroth K. C., and Ammar M. H., “Collecting and modelling the join/leave behaviour of multicast
group members in the mbone”, IEEE International Symposium on High Performance Distributed
Computing (HPDC), 1996.
[8] Sripanidkulchai K., Maggs B., and Zhang H., “An analysis of live streaming workloads on the
Internet”, Internet Measurement Conference, 2004.
[9] Wang F., and Liu J., “A trace-based analysis of packet flows in data-driven overlay networks”,
Technical report, 2006.
[10] OMNeT++, Homepage: http://www.omnetpp.org/.
[11] INET, Homepage: http://inet.omnetpp.org/.
[12] OverSim, Homepage: http://www.oversim.org/.
AUTHORS
Seyed Mehran Ronaghi is holderof Master’sdegree course of studies (MScE) in the
field ofInformation Technology (IT) with specialization in Computer Communication
Networks from Qazvin Islamic Azad University (QIAU) in Iran. He has received his
Bachelor’s degree course of studies (BScE) in the field of Computer Engineering with
specialization in Computer Software in 2006. He is member of Iran National Scientific
Student’s Organization on Electrical Engineering (NSSOEE) at Sharif University of
Technology and superior arbiter of 16th and 17th Iranian Student Conference on Electrical Engineering
(ISCEE). His research interests are Distributed Systems, Application Layer Multicast (ALM), Multimedia
Streaming over the Internet, and Peer-to-Peer (P2P) Systems.
9. International Journal of Peer to Peer Networks (IJP2P) Vol.6, No.1, February 2015
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Dr. Behzad Akbari received his B.Sc., M.Sc., and Ph.D. degrees in Computer
Engineering from Sharif University of Technology, Tehran, Iran, in 1999, 2002 and
2008, respectively. He is currently an assistant professor in the Department of Electrical
and Computer Engineering, Tarbiat Modares University, Tehran, Iran. His research
interests are Computer Networks, Multimedia Streaming over the Internet, Overlay and
Peer-to-Peer Networking, Peer-to-Peer Video Streaming, Network QoS, Network
Performance Evaluation, and Network Security.