To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
This document proposes a delay-based network utility maximization approach. Existing approaches use backlog-based transmission rules but do not address joint stability and utility optimization. The proposed approach uses a delay-based Lyapunov function to design an algorithm that provides deterministic delay guarantees while maximizing throughput utility. It introduces a novel flow control policy that queues arriving data but makes dropping decisions just before advancing packets, providing throughput utility close to optimal.
Performance of a speculative transmission scheme for scheduling latency reduc...Mumbai Academisc
This document proposes a speculative transmission scheme to reduce latency in input-queued centrally-scheduled cell switches for high-performance computing. The scheme allows cells to proceed without waiting for a grant under certain conditions, significantly reducing average control-path latency. Using this model, performance measures like mean delay and successful speculative transmission rate are derived. Results show latency can be almost entirely eliminated between request and response for loads up to 50%. Simulations confirm the analytical results.
A distributed control law for load balancing in content delivery networksJPINFOTECH JAYAPRAKASH
This document discusses load balancing in content delivery networks (CDNs). It proposes a novel distributed algorithm for load balancing based on a fluid flow model characterization of the network servers. The algorithm is designed to achieve equilibrium of queues across the network. It leverages local balancing to achieve global balancing through periodic interaction among system nodes. Simulations are used to validate that the proposed algorithm exhibits excellent average response time and load balancing comparable to existing algorithms with fewer redirections.
Load Balancing traffic in OpenStack neutron sufianfauzani
This document discusses implementing load balancing in OpenStack Neutron. It describes configuring Neutron's load balancing as a service (LBaaS) using drivers to interact with load balancers. The round robin algorithm will be applied, distributing new connections evenly across virtual machines. The expected result is tenants can programmatically scale applications through the Neutron API and provide high availability using health monitors.
This document discusses admission control in internet networks. It provides an overview of quality of service (QoS) and how organizations can achieve QoS through tools like jitter buffering and traffic shaping. It then discusses several techniques used for admission control, including scheduling, traffic shaping, and resource reservation. Specific admission control systems are also outlined, such as asynchronous transfer mode (ATM), audio video bridging (AVB), IEEE 1394, integrated services, and the public switched telephone network (PSTN).
This document discusses a receiver-based flow control scheme for networks experiencing overload. It proposes using virtual queues at receivers to provide back-pressure and optimize data delivery via threshold-based packet dropping and back-pressure routing. This approach generalizes traditional per-flow utility optimization to allow assigning a single utility function to multiple flows. Simulations show this control scheme achieves near-optimal performance using finite buffers independently of arrival statistics.
This document proposes a delay-based network utility maximization approach. Existing approaches use backlog-based transmission rules but do not address joint stability and utility optimization. The proposed approach uses a delay-based Lyapunov function to design an algorithm that provides deterministic delay guarantees while maximizing throughput utility. It introduces a novel flow control policy that queues arriving data but makes dropping decisions just before advancing packets, providing throughput utility close to optimal.
Performance of a speculative transmission scheme for scheduling latency reduc...Mumbai Academisc
This document proposes a speculative transmission scheme to reduce latency in input-queued centrally-scheduled cell switches for high-performance computing. The scheme allows cells to proceed without waiting for a grant under certain conditions, significantly reducing average control-path latency. Using this model, performance measures like mean delay and successful speculative transmission rate are derived. Results show latency can be almost entirely eliminated between request and response for loads up to 50%. Simulations confirm the analytical results.
A distributed control law for load balancing in content delivery networksJPINFOTECH JAYAPRAKASH
This document discusses load balancing in content delivery networks (CDNs). It proposes a novel distributed algorithm for load balancing based on a fluid flow model characterization of the network servers. The algorithm is designed to achieve equilibrium of queues across the network. It leverages local balancing to achieve global balancing through periodic interaction among system nodes. Simulations are used to validate that the proposed algorithm exhibits excellent average response time and load balancing comparable to existing algorithms with fewer redirections.
Load Balancing traffic in OpenStack neutron sufianfauzani
This document discusses implementing load balancing in OpenStack Neutron. It describes configuring Neutron's load balancing as a service (LBaaS) using drivers to interact with load balancers. The round robin algorithm will be applied, distributing new connections evenly across virtual machines. The expected result is tenants can programmatically scale applications through the Neutron API and provide high availability using health monitors.
This document discusses admission control in internet networks. It provides an overview of quality of service (QoS) and how organizations can achieve QoS through tools like jitter buffering and traffic shaping. It then discusses several techniques used for admission control, including scheduling, traffic shaping, and resource reservation. Specific admission control systems are also outlined, such as asynchronous transfer mode (ATM), audio video bridging (AVB), IEEE 1394, integrated services, and the public switched telephone network (PSTN).
This document discusses a receiver-based flow control scheme for networks experiencing overload. It proposes using virtual queues at receivers to provide back-pressure and optimize data delivery via threshold-based packet dropping and back-pressure routing. This approach generalizes traditional per-flow utility optimization to allow assigning a single utility function to multiple flows. Simulations show this control scheme achieves near-optimal performance using finite buffers independently of arrival statistics.
Mobile projected trajectory algorithm withjpstudcorner
The document proposes a mobile-projected trajectory (MPT) algorithm to estimate residual link lifetime (RLL) in mobile ad hoc networks. It first proves that at least four distance measurements are required to uniquely compute RLL. The MPT estimates the relative trajectory between two nodes from periodic distance measurements to predict RLL. To account for velocity changes, it is enhanced with a velocity-change detection test (MPT-VCD). Simulation results show the MPT-VCD significantly improves RLL prediction accuracy over existing approaches without GPS or location information.
Lifetime-Aware Scheduling and Power Control for Cellular-based M2M Communicat...amin azari
This document summarizes research on lifetime-aware scheduling and power control techniques for machine-to-machine (M2M) communications in cellular networks. It presents a system model where battery-powered M2M nodes generate data at semi-constant rates. Two heuristic algorithms are proposed to maximize network lifetime by optimizing subcarrier allocation and transmit power levels. Simulation results show the lifetime-aware scheduling significantly outperforms equal resource allocation and throughput-based schemes. Low-complexity solutions achieve close-to-optimal performance with reduced complexity. The techniques can effectively prolong network lifetime for energy-constrained M2M devices in cellular systems.
CONVEX OPTIMIZATION BASED CONGESTION CONTROL IN LAYERED SATELLITE NETWORKSIJCI JOURNAL
A multi-layered satellite network consisting of geosynchronous and nano-satellites is suited to perform
space situational awareness. The nano-satellites collect information of space objects and transfer data to
ground stations through the geosynchronous satellites. The dynamic topology of the network, large
propagation delays and bulk data transfers results in a congested network. In this paper, we present a
convex optimization based congestion control algorithm. Using snapshots of the network, operating
parameters such as incoming, outgoing rates and buffer utilization are monitored. The operating
parameters of a satellite are formulated as a convex function and using convex optimization techniques, the
incoming data rates are evaluated to minimize congestion. Performance comparison of our algorithm with
Transmission Control Protocol congestion control mechanism is presented. The simulation results show
that our algorithm reduces congestion while facilitating higher transmission rates.
Using fuzzy logic control to provide intelligent traffic management service f...JPINFOTECH JAYAPRAKASH
This paper proposes a distributed traffic management framework that uses fuzzy logic control. Routers are deployed with intelligent data rate controllers to manage increasing internet traffic. Unlike other explicit traffic control protocols that estimate network parameters, the fuzzy logic controller can directly measure router queue size. This avoids issues from parameter estimation while reducing computation and memory usage. The queue size is used to proactively regulate source sending rates, increasing resilience to congestion. Simulation results show the new scheme achieves better performance than existing protocols relying on network parameter estimation.
On modeling controller switch interaction in openflow based sdnsIJCNCJournal
With an increase in number of software defined network (SDN) deployments,and OpenFlow consolidating as the protocol of choice for controller-switch interactions, a need to analytically model the system for performance analysis is increasing. An attempt has previously been made in [1] to model the syste considering both a controller and a switch as an M/M/1 queue. The method, although useful, lacks accuracy for higher probabilities of new flows entering the network. The approach is also deficient of
details on how it can be extended to more than one node in the data plane.These two short-comings are addressed in this paper where thecontroller and switch are modeled
collectively as Jackson’s network, with essential tuning to suit OpenFlow-based SDN. The consequent analysis shows the resilience of the model even for higher number of new flow entries. An example is also used
to illustrate the case of multiple nodes in the data plane.
Congestion control and quality of service focus on managing data traffic by avoiding congestion and ensuring appropriate network conditions. Traffic is characterized by descriptors like data rate and burst size. Congestion occurs when network load exceeds capacity and is controlled using open-loop prevention or closed-loop removal techniques. Quality of service provides classifications, scheduling, and resource reservation to meet flow requirements for reliability, delay, bandwidth and more. Integrated and differentiated services are QoS frameworks for IP that use signaling, admission control, and per-hop behaviors.
GPRS is a packet-based mobile data service on the 2G and 3G cellular communication systems. It provides higher data transmission rates and efficient use of network resources compared to existing cellular networks. GPRS allows users to be continuously connected to the network and transfer data in bursts. It introduces packet-switched routing to the existing GSM infrastructure and supports applications like internet, email and file transfer through connections to external packet networks.
There are three main switching techniques for digital traffic: circuit switching, message switching, and packet switching. Circuit switching establishes a dedicated connection between sender and receiver. Message switching transmits entire messages between nodes without a dedicated connection. Packet switching breaks messages into packets that can take different routes to the destination, providing reliability and efficiency while avoiding long connection setup times.
OpenFlow enables network innovation by allowing researchers to run experimental protocols on campus networks. It takes OpenFlow switches and separates the data and control planes, with an external controller managing flow tables. This allows experimental traffic to be isolated yet realistic. OpenFlow provides high performance, supports research, isolates production and experimental traffic, and is compatible with vendor switches through upgrades. It offers a cost-effective way to deploy new ideas compared to large-scale SDNs.
The document discusses the Stream Control Transmission Protocol (SCTP), including its development motivation and key features. SCTP was developed as part of an IETF workgroup to address limitations of TCP for transporting SS7 traffic over IP networks. It supports features such as message-oriented data transfer, multi-homing, and multi-streaming not provided by TCP.
This document discusses congestion control and data traffic. It defines key terms like average data rate, peak data rate, maximum burst size, and effective bandwidth that describe data flow. There are three main types of traffic profiles: constant bit rate, variable bit rate, and bursty data. Congestion occurs when the number of packets sent exceeds network capacity. Congestion control mechanisms aim to prevent or remove congestion using open-loop methods like retransmission policies or closed-loop methods like choke packets or implicit/explicit signaling between nodes. Network performance is measured by delay and throughput as load increases.
The document discusses data link control and various related topics:
1. Link throughput is reduced by factors like frame overheads, propagation delay, acknowledgements, and retransmissions. HDLC and PPP are protocols that use frames for data transmission.
2. Flow control uses window mechanisms to regulate the maximum number of unacknowledged frames sent to prevent overflow. This affects throughput.
3. Link management procedures are needed to handle link and node failures and ensure frames are delivered properly.
This document proposes a novel approach for placing and selecting network services that takes traffic engineering considerations into account. Rather than just minimizing route lengths through gateways, the approach aims to enhance overall network performance. The problem is divided into two sub-problems: determining the best location for each service gateway, and selecting the best gateway for each traffic flow. Efficient algorithms are proposed for both problems and their performance is evaluated. The main contribution is showing how placement and selection of network services can be effective traffic engineering tools.
This document summarizes key aspects of network routing protocols handling failures. It discusses how routing protocols use periodic advertisements and integration steps to propagate changes and converge on correct routes despite network changes. The HELLO protocol is used for neighbor discovery. Hop limits on packets prevent routing loops from causing dropped packets to circulate indefinitely. Link-state protocols will eventually converge provided packet delivery is sufficiently reliable and all nodes receive each other's advertisements.
Lifetime-Aware Scheduling and Power Control for MTC in LTE Networksamin azari
This document summarizes a research paper on lifetime-aware scheduling and power control techniques for machine-to-machine (M2M) communications in LTE networks. It first introduces the challenges of supporting a massive number of short-lived M2M sessions with diverse quality of service requirements. It then formulates the problems of cluster formation, cluster-head selection, and scheduling/power control to maximize network lifetime. Proposed solutions include optimizing cluster size, selecting cluster-heads based on node energy levels, and a heuristic scheduling algorithm that assigns radio resources and transmission power levels. Simulation results show the proposed techniques outperform equal resource allocation and throughput-aware schemes in terms of achieving longer network lifetime.
Soft Real-Time Guarantee for Control Applications Using Both Measurement and ...CSCJournals
This document presents a probabilistic admission control algorithm for supporting soft real-time control applications over switched Ethernet networks. The algorithm uses both measurement and analytical techniques. It measures baseline delays with no competing traffic to characterize fixed delay components. It then provides an efficient method to estimate queueing delays for heterogeneous periodic flows in order to determine admission probabilities that ensure flow deadlines are met with high probability. The algorithm was implemented on Windows and experiments validated its effectiveness in admitting new flows while maintaining soft real-time guarantees for existing flows.
Study on Different Mechanism for Congestion Control in Real Time Traffic for ...IRJET Journal
This document discusses congestion control mechanisms for real-time traffic in mobile ad hoc networks (MANETs). It describes two main types of congestion control: closed-loop control, which detects and responds to congestion after it occurs using feedback; and open-loop control, which aims to prevent congestion before it happens without feedback. The document also examines traffic shaping mechanisms like leaky bucket and token bucket algorithms that can regulate network traffic and prevent congestion. Finally, it outlines some challenges of congestion in best-effort networks and different approaches to congestion control, including end-to-end flow control and router-based mechanisms.
An Adaptive Routing Algorithm for Communication Networks using Back Pressure...IJMER
The basic idea of backpressure techniques is to prioritize transmissions over links that have
the highest queue differentials. Backpressure method effectively makes packets flow through the network
as though pulled by gravity towards the destination end, which has the smallest queue size of zero. Under
high traffic conditions, this method works very well, and backpressure is able to fully utilize the available
network resources in a highly dynamic fashion. Under low traffic conditions, however, because many
other hosts may also have a small or zero queue size, there is inefficiency in terms of an increase in
delay, as packets may loop or take a long time to make their way to the destination end. In this paper we
use the concept of shadow queues. Each node has to maintain some counters, called as shadow queues,
per destination. This is very similar to the idea of maintaining a routing table (for routing purpose) per
destination. Using the concept of shadow queues, we partially decouple routing and the scheduling. A
shadow network is maintained to update a probabilistic routing table that packets use upon arrival at a
node. The same shadow network, with back-pressure technique, is used to activate transmissions between
nodes. The routing algorithm is designed to minimize the average number of hops used by the packets in
the network. This idea, along with the scheduling and routing decoupling, leads to delay reduction
compared with the traditional back-pressure algorithm
Mobile projected trajectory algorithm withjpstudcorner
The document proposes a mobile-projected trajectory (MPT) algorithm to estimate residual link lifetime (RLL) in mobile ad hoc networks. It first proves that at least four distance measurements are required to uniquely compute RLL. The MPT estimates the relative trajectory between two nodes from periodic distance measurements to predict RLL. To account for velocity changes, it is enhanced with a velocity-change detection test (MPT-VCD). Simulation results show the MPT-VCD significantly improves RLL prediction accuracy over existing approaches without GPS or location information.
Lifetime-Aware Scheduling and Power Control for Cellular-based M2M Communicat...amin azari
This document summarizes research on lifetime-aware scheduling and power control techniques for machine-to-machine (M2M) communications in cellular networks. It presents a system model where battery-powered M2M nodes generate data at semi-constant rates. Two heuristic algorithms are proposed to maximize network lifetime by optimizing subcarrier allocation and transmit power levels. Simulation results show the lifetime-aware scheduling significantly outperforms equal resource allocation and throughput-based schemes. Low-complexity solutions achieve close-to-optimal performance with reduced complexity. The techniques can effectively prolong network lifetime for energy-constrained M2M devices in cellular systems.
CONVEX OPTIMIZATION BASED CONGESTION CONTROL IN LAYERED SATELLITE NETWORKSIJCI JOURNAL
A multi-layered satellite network consisting of geosynchronous and nano-satellites is suited to perform
space situational awareness. The nano-satellites collect information of space objects and transfer data to
ground stations through the geosynchronous satellites. The dynamic topology of the network, large
propagation delays and bulk data transfers results in a congested network. In this paper, we present a
convex optimization based congestion control algorithm. Using snapshots of the network, operating
parameters such as incoming, outgoing rates and buffer utilization are monitored. The operating
parameters of a satellite are formulated as a convex function and using convex optimization techniques, the
incoming data rates are evaluated to minimize congestion. Performance comparison of our algorithm with
Transmission Control Protocol congestion control mechanism is presented. The simulation results show
that our algorithm reduces congestion while facilitating higher transmission rates.
Using fuzzy logic control to provide intelligent traffic management service f...JPINFOTECH JAYAPRAKASH
This paper proposes a distributed traffic management framework that uses fuzzy logic control. Routers are deployed with intelligent data rate controllers to manage increasing internet traffic. Unlike other explicit traffic control protocols that estimate network parameters, the fuzzy logic controller can directly measure router queue size. This avoids issues from parameter estimation while reducing computation and memory usage. The queue size is used to proactively regulate source sending rates, increasing resilience to congestion. Simulation results show the new scheme achieves better performance than existing protocols relying on network parameter estimation.
On modeling controller switch interaction in openflow based sdnsIJCNCJournal
With an increase in number of software defined network (SDN) deployments,and OpenFlow consolidating as the protocol of choice for controller-switch interactions, a need to analytically model the system for performance analysis is increasing. An attempt has previously been made in [1] to model the syste considering both a controller and a switch as an M/M/1 queue. The method, although useful, lacks accuracy for higher probabilities of new flows entering the network. The approach is also deficient of
details on how it can be extended to more than one node in the data plane.These two short-comings are addressed in this paper where thecontroller and switch are modeled
collectively as Jackson’s network, with essential tuning to suit OpenFlow-based SDN. The consequent analysis shows the resilience of the model even for higher number of new flow entries. An example is also used
to illustrate the case of multiple nodes in the data plane.
Congestion control and quality of service focus on managing data traffic by avoiding congestion and ensuring appropriate network conditions. Traffic is characterized by descriptors like data rate and burst size. Congestion occurs when network load exceeds capacity and is controlled using open-loop prevention or closed-loop removal techniques. Quality of service provides classifications, scheduling, and resource reservation to meet flow requirements for reliability, delay, bandwidth and more. Integrated and differentiated services are QoS frameworks for IP that use signaling, admission control, and per-hop behaviors.
GPRS is a packet-based mobile data service on the 2G and 3G cellular communication systems. It provides higher data transmission rates and efficient use of network resources compared to existing cellular networks. GPRS allows users to be continuously connected to the network and transfer data in bursts. It introduces packet-switched routing to the existing GSM infrastructure and supports applications like internet, email and file transfer through connections to external packet networks.
There are three main switching techniques for digital traffic: circuit switching, message switching, and packet switching. Circuit switching establishes a dedicated connection between sender and receiver. Message switching transmits entire messages between nodes without a dedicated connection. Packet switching breaks messages into packets that can take different routes to the destination, providing reliability and efficiency while avoiding long connection setup times.
OpenFlow enables network innovation by allowing researchers to run experimental protocols on campus networks. It takes OpenFlow switches and separates the data and control planes, with an external controller managing flow tables. This allows experimental traffic to be isolated yet realistic. OpenFlow provides high performance, supports research, isolates production and experimental traffic, and is compatible with vendor switches through upgrades. It offers a cost-effective way to deploy new ideas compared to large-scale SDNs.
The document discusses the Stream Control Transmission Protocol (SCTP), including its development motivation and key features. SCTP was developed as part of an IETF workgroup to address limitations of TCP for transporting SS7 traffic over IP networks. It supports features such as message-oriented data transfer, multi-homing, and multi-streaming not provided by TCP.
This document discusses congestion control and data traffic. It defines key terms like average data rate, peak data rate, maximum burst size, and effective bandwidth that describe data flow. There are three main types of traffic profiles: constant bit rate, variable bit rate, and bursty data. Congestion occurs when the number of packets sent exceeds network capacity. Congestion control mechanisms aim to prevent or remove congestion using open-loop methods like retransmission policies or closed-loop methods like choke packets or implicit/explicit signaling between nodes. Network performance is measured by delay and throughput as load increases.
The document discusses data link control and various related topics:
1. Link throughput is reduced by factors like frame overheads, propagation delay, acknowledgements, and retransmissions. HDLC and PPP are protocols that use frames for data transmission.
2. Flow control uses window mechanisms to regulate the maximum number of unacknowledged frames sent to prevent overflow. This affects throughput.
3. Link management procedures are needed to handle link and node failures and ensure frames are delivered properly.
This document proposes a novel approach for placing and selecting network services that takes traffic engineering considerations into account. Rather than just minimizing route lengths through gateways, the approach aims to enhance overall network performance. The problem is divided into two sub-problems: determining the best location for each service gateway, and selecting the best gateway for each traffic flow. Efficient algorithms are proposed for both problems and their performance is evaluated. The main contribution is showing how placement and selection of network services can be effective traffic engineering tools.
This document summarizes key aspects of network routing protocols handling failures. It discusses how routing protocols use periodic advertisements and integration steps to propagate changes and converge on correct routes despite network changes. The HELLO protocol is used for neighbor discovery. Hop limits on packets prevent routing loops from causing dropped packets to circulate indefinitely. Link-state protocols will eventually converge provided packet delivery is sufficiently reliable and all nodes receive each other's advertisements.
Lifetime-Aware Scheduling and Power Control for MTC in LTE Networksamin azari
This document summarizes a research paper on lifetime-aware scheduling and power control techniques for machine-to-machine (M2M) communications in LTE networks. It first introduces the challenges of supporting a massive number of short-lived M2M sessions with diverse quality of service requirements. It then formulates the problems of cluster formation, cluster-head selection, and scheduling/power control to maximize network lifetime. Proposed solutions include optimizing cluster size, selecting cluster-heads based on node energy levels, and a heuristic scheduling algorithm that assigns radio resources and transmission power levels. Simulation results show the proposed techniques outperform equal resource allocation and throughput-aware schemes in terms of achieving longer network lifetime.
Soft Real-Time Guarantee for Control Applications Using Both Measurement and ...CSCJournals
This document presents a probabilistic admission control algorithm for supporting soft real-time control applications over switched Ethernet networks. The algorithm uses both measurement and analytical techniques. It measures baseline delays with no competing traffic to characterize fixed delay components. It then provides an efficient method to estimate queueing delays for heterogeneous periodic flows in order to determine admission probabilities that ensure flow deadlines are met with high probability. The algorithm was implemented on Windows and experiments validated its effectiveness in admitting new flows while maintaining soft real-time guarantees for existing flows.
Study on Different Mechanism for Congestion Control in Real Time Traffic for ...IRJET Journal
This document discusses congestion control mechanisms for real-time traffic in mobile ad hoc networks (MANETs). It describes two main types of congestion control: closed-loop control, which detects and responds to congestion after it occurs using feedback; and open-loop control, which aims to prevent congestion before it happens without feedback. The document also examines traffic shaping mechanisms like leaky bucket and token bucket algorithms that can regulate network traffic and prevent congestion. Finally, it outlines some challenges of congestion in best-effort networks and different approaches to congestion control, including end-to-end flow control and router-based mechanisms.
An Adaptive Routing Algorithm for Communication Networks using Back Pressure...IJMER
The basic idea of backpressure techniques is to prioritize transmissions over links that have
the highest queue differentials. Backpressure method effectively makes packets flow through the network
as though pulled by gravity towards the destination end, which has the smallest queue size of zero. Under
high traffic conditions, this method works very well, and backpressure is able to fully utilize the available
network resources in a highly dynamic fashion. Under low traffic conditions, however, because many
other hosts may also have a small or zero queue size, there is inefficiency in terms of an increase in
delay, as packets may loop or take a long time to make their way to the destination end. In this paper we
use the concept of shadow queues. Each node has to maintain some counters, called as shadow queues,
per destination. This is very similar to the idea of maintaining a routing table (for routing purpose) per
destination. Using the concept of shadow queues, we partially decouple routing and the scheduling. A
shadow network is maintained to update a probabilistic routing table that packets use upon arrival at a
node. The same shadow network, with back-pressure technique, is used to activate transmissions between
nodes. The routing algorithm is designed to minimize the average number of hops used by the packets in
the network. This idea, along with the scheduling and routing decoupling, leads to delay reduction
compared with the traditional back-pressure algorithm
A novel routing technique for mobile ad hoc networks (manet)ijngnjournal
Actual network size depends on the application and the protocols developed for the routing for this kind of
networks should be scalable and efficient. Each routing protocol should support small as well as large
scale networks very efficiently. As the number of node increase, it increases the management functionality
of the network. Graph theoretic approach traditionally was applied to networks where nodes are static or
fixed. In this paper, we have applied the graph theoretic routing to MANET where nodes are mobile. Here,
we designed all identical nodes in the cluster except the cluster head and this criterion reduces the
management burden on the network. Each cluster supports a few nodes with a cluster head. The intracluster
connectivity amongst the nodes within the cluster is supported by multi-hop connectivity to ensure
handling mobility in such a way that no service disruption can occur. The inter-cluster connectivity is also
achieved by multi-hop connectivity. However, for inter-cluster communications, only cluster heads are
connected. This paper demonstrates graph theoretic approach produces an optimum multi-hop connectivity
path based on cumulative minimum degree that minimizes the contention and scheduling delay end-toend.
It is applied to both intra-cluster communications as well as inter-cluster communications. The
performance shows that having a multi-hop connectivity for intra-cluster communications is more power
efficient compared to broadcast of information with maximum power coverage. We also showed the total
number of required intermediate nodes in the transmission from source to destination. However, dynamic
behavior of the nodes requires greater understanding of the node degree and mobility at each instance of
time in order to maintain end-to-end QoS for multi-service provisioning. Our simulation results show that
the proposed graph theoretic routing approach will reduce the overall delay and improves the physical
layer data frame transmission.
1) The document analyzes delay performance in multihop wireless networks and develops techniques to derive lower bounds on average packet delay under any scheduling policy.
2) It introduces the concept of a k-bottleneck, where k or fewer links can transmit simultaneously due to interference constraints.
3) A key technique, called reduction, simplifies analysis of queues upstream of a k-bottleneck by reducing it to a single queue system with k servers and appropriate arrival processes.
The document proposes a framework for maximizing the aggregate utility of traffic flows in a wireless mesh network while meeting minimum rate requirements and accounting for interference. It formulates the problem as an optimization that assigns transmission parameters like power, channels, and time slots. If minimum rates cannot be met for all flows, the framework intelligently rejects some flows and recalculates resource allocation. It aims to enhance quality of service support compared to prior work in wired networks by addressing self-interference challenges in wireless multi-hop networks.
Congestion Control and QOS Improvement for AEERG protocol in MANET pijans
QOS improvement has been a subject of intensive discussion. The research in the network field for
congestion control is by means of scheduling packets from different traffic flows for processing at a specific
node. When that particular node is selected for the transmission of all traffic flows since it has been chosen
as an emerging node for the shortest path in the adaptive energy efficient algorithm, queue scheduling
disciplines have been used to improve the quality of service. In this paper, we evaluate the performance of
four queuing disciplines (FIFO, PQ, RED and WFQ) which is implemented in the AEERG protocol. This
paper gives the NS-2 simulation results to compare their relative performance based on queuing delay,
packet drop rate and end-to-end delay for the above queuing techniques.
This document presents a QoS-based packet scheduling algorithm for hybrid wireless networks. It proposes using the Earliest Deadline First (EDF) algorithm to schedule packets for online conference applications and the Least Slack Time First algorithm to schedule packets for online video applications. The goal is to reduce transmission delay and improve QoS. It implements this scheduling approach using the NS2 network simulator. The scheduling algorithm classifies packets by application type and places them in queues. EDF and Least Slack Time are then used to schedule packets from each queue to minimize delay for multimedia applications over hybrid wireless networks.
Networking project list for java and dotnetredpel dot com
The document discusses several papers related to networking and distributed systems. Specifically, it summarizes 9 papers covering topics like decentralized queue balancing, fast re-route methods after link failures, efficient caching schemes in hybrid peer-to-peer systems, multi-path routing based on logit type assignment, hop-by-hop adaptive link-state optimal routing, access policy consolidation for event processing systems, auditing for network coding storage, buffer sizing for 802.11 networks, and an optimized multicast routing algorithm based on tree structure in mobile ad hoc networks.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IRJET-A Survey on congestion control with TCP networkIRJET Journal
This document summarizes various mechanisms for congestion control in computer networks. It begins with an introduction to congestion and its impacts. It then classifies congestion control schemes into several categories such as window-based vs. rate-based, unicast vs. multicast, and end-to-end vs. router-supported. Several popular congestion control protocols are described, including TCP, RAP, TFRC, and TEAR. Window-based multicast congestion control approaches like RLA and MTCP are also summarized. The document provides an overview of different congestion control techniques in computer networks.
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networkschennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
ADVANCED DIFFUSION APPROACH TO DYNAMIC LOAD-BALANCING FOR CLOUD STORAGEijdpsjournal
This document summarizes a research paper that proposes an advanced diffusion approach for dynamic load balancing in cloud storage systems. The approach aims to [1] improve system performance by applying a dynamic load balancing technique using a "going vertical" principle, and [2] propose an algorithm that spontaneously rebalances tasks among storage nodes such that each node's load is proportional to its capacity, achieving fairness. The approach was evaluated through simulations and mathematical analysis, showing it outperformed centralized and original diffusion approaches in terms of throughput and response time. The key idea is to simplify complex heterogeneous networks into homogeneous domains or clusters based on node properties, reducing network diameter, nodes, and communication overhead to increase performance.
ADVANCED DIFFUSION APPROACH TO DYNAMIC LOAD-BALANCING FOR CLOUD STORAGEijdpsjournal
Load-balancing techniques have become a critical function in cloud storage systems that consist of
complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any
load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the
diameter of the network and the communication overhead increased. Therefore, this paper presents an
approach aims at scaling the system out not up - in other words, allowing the system to be expanded by
adding more nodes without the need to increase the power of each node while at the same time increasing
the overall performance of the system. Also, our proposal aims at improving the performance by not only
considering the parameters that will affect the algorithm performance but also simplifying the structure of
the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as
well as computer simulations, and it was compared with the centralized approach and the original diffusion
technique. Results show that our solution outperforms them in terms of throughput and response time.
Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain
nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we
conclude that this approach would have an advantage of being fair, simple and no node is privileged.
ADVANCED DIFFUSION APPROACH TO DYNAMIC LOAD-BALANCING FOR CLOUD STORAGEijdpsjournal
Load-balancing techniques have become a critical function in cloud storage systems that consist of complex heterogeneous networks of nodes with different capacities. However, the convergence rate of any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the system, the diameter of the network and the communication overhead increased. Therefore, this paper presents an approach aims at scaling the system out not up - in other words, allowing the system to be expanded by adding more nodes without the need to increase the power of each node while at the same time increasing the overall performance of the system. Also, our proposal aims at improving the performance by not only
considering the parameters that will affect the algorithm performance but also simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated through mathematical analysis as well as computer simulations, and it was compared with the centralized approach and the original diffusion technique. Results show that our solution outperforms them in terms of throughput and response time.
Finally, we proved that our proposal converges to the state of equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of being fair, simple and no node is privileged.
A scalable and power efficient solution for routing in mobile ad hoc network ...ijmnct
This document summarizes a research paper that proposes a scalable and power-efficient routing solution for mobile ad hoc networks (MANETs). The paper describes a cluster-based MANET architecture and develops a graph theoretic routing algorithm that finds paths from source to destination nodes using routes with minimum cumulative degree. Simulation results show that the algorithm provides efficient routing paths even as the number of nodes increases, and uses multi-hop connectivity to transmit packets using minimum power irrespective of the number of nodes in the network. The algorithm is shown to be scalable and power efficient compared to other routing methods.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
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Delay based network utility maximization
1. Delay-Based Network Utility Maximization
ABSTRACT:
It is well known that max-weight policies based on a queue backlog index can be used to
stabilize stochastic networks, and that similar stability results hold if a delay index is used.
Using Lyapunov optimization, we extend this analysis to design a utility maximizing algorithm
that uses explicit delay information from the head-of-line packet at each user. The resulting
policy is shown to ensure deterministic worst-case delay guarantees and to yield a throughput
utility that differs from the optimally fair value by an amount that is inversely proportional to
the delay guarantee. Our results hold for a general class of 1-hop networks, including packet
switches
EXISTING SYSTEM:
The stability works all use backlog-based transmission rules, which treat joint stability and
utility optimization. However, work introduces an interesting delay-based Lyapunov function
for proving stability, where the delay of the head-of-line packet is used as a weight in the max-
weight decision. This approach intuitively provides tighter control of the actual queueing
delays.
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2. DISADVANTAGES OF EXISTING SYSTEM:
1. In an interesting delay-based Lyapunov function for proving stability, where the delay of
the head-of-line packet is used as a weight in the max-weight decision. This approach
intuitively provides tighter control of the actual queuing delays.
2. A single head-of-line packet is scheduled based on the delay it has experienced, rather
than on the amount of additional packets that arrived after it.
3. Use delay-based rules only in the context of queue stability. To our knowledge, there are
no prior works that use delay-based scheduling to address the important issue of joint
stability and utility optimization.
PROPOSED SYSTEM:
THIS paper considers the problem of scheduling for maximum throughput utility in a network
with random packet arrivals and time-varying channel reliability. We focus on 1-hop networks
where each packet requires transmission over only one link. At every slot, the network
controller assesses the condition of its channels and selects a set of links for transmission. The
success of each transmission depends on the collection of links selected and their corresponding
reliabilities. The goal is to maximize a concave and nondecreasing function of the time-average
throughput on each link.
In this paper we use a delay-based Lyapunov function and extend the analysis to treat joint
stability and performance optimization via the Lyapunov optimization technique from our prior
work. The extension is not obvious. Indeed, the flow control decisions in the prior work are
made immediately when a new packet arrives, which directly affects the drift of backlog-based
Lyapunov functions. However, such decisions do not directly affect the delay value of the head-
of-line packets, and hence do not directly affect the drift of delay-based Lyapunov functions.
We overcome this challenge with a novel flow control policy that queues all arriving data, but
makes packet dropping decisions just before advancing a new packet to the head-of-line. This
policy is structurally different from the utility optimization works. This new structure leads to
3. deterministic guarantees on the worst-case delay of any non dropped packet and provides
throughput utility that can be pushed arbitrarily close to optimal.
ADVANTAGES OF PROPOSED SYSTEM:
It is important to analyze these delay-based policies because they improve our
understanding of network delay, and because the deterministic guarantees they offer are
useful for many practical systems.
while our deterministic delay guarantees hold for general arrival sample paths, our utility
analysis assumes all arrival processes are independent of each other (possibly with
different rates for each process) and independent and identically distributed (i.i.d.) over
time-slots.
The deterministic delay guarantees we obtain in this present paper are quite strong and
show the advantages of our new flow control structure.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
4. SOFTWARE CONFIGURATION:-
Operating System : Windows XP
Programming Language : JAVA
Java Version : JDK 1.6 & above.
REFERENCE:
Michael J. Neely, Senior Member, IEEE- “Delay-Based Network Utility Maximization”-
IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 21, NO. 1, FEBRUARY 2013.