An automated dynamic offset for network selection in heterogeneous networksmuhammed jassim k
SOFTRONIICS.The best project centre in calicut.providing project guidance and assistance to mca,msc,bca,bsc.mtech,btech..etc.and also providing course and internship in java,python,php,dotnet,embedded,android..etc
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
Energy Behavior in Ad Hoc Network Minimizing the Number of Hops and Maintaini...CSCJournals
Wireless ad-hoc mesh network is a special kind of network, where all of the nodes move in time. The topology of the network changes as the nodes are in the proximity of each other. Ad-hoc networks are generally self-configuring no stable infrastructure takes a place. In this network, each node should help relaying packets of neighboring nodes using multi-hop routing mechanism. This mechanism is needed to reach far destination nodes to solve problem of dead communication. This multiple traffic "hops" within a wireless mesh network caused dilemma. Wireless mesh network that contain multiple hops become increasingly vulnerable to problems such as energy degradation and rapid increasing of overhead packets. This paper provides a generic routing framework that balances energy efficient broadcast schemes in Wireless (Ad-Hoc) Mesh Network and maintaining connectivity of nodes (mobile terminals). Typically, each node’s activities will consume energy, either for sending packets, receiving or preparing/processing packets. Number of hops, distance of nodes, and size of packet will determine the consumption of energy. The framework is based on the principle that additional relay nodes with appropriate energy and routing metric between source and final destination significantly reduces the energy consumption necessary to deliver packets in Wireless (Ad-Hoc) Mesh Network while keep the connectivity of dynamic nodes. Using the framework, the average network connectivity is kept 18% higher and the lifetime of network lasting more than 2.38% compared with network with Link State Routing mechanism. The simulation notes that the end-to-end delay may increase rapidly if relay nodes are more than five.
Data encoding techniques for reducing energyb consumption in network on-chipLogicMindtech Nologies
VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
A NEW DATA ENCODER AND DECODER SCHEME FOR NETWORK ON CHIPEditor IJMTER
System-on-chip (soc) based system has so many disadvantages in power-dissipation as
well as clock rate while the data transfer from one system to another system in on-chip. At the same
time, a higher operated system does not support the lower operated bus network for data transfer.
However an alternative scheme is proposed for high speed data transfer. But this scheme is limited to
SOCs. Unlike soc, network-on-chip (NOC) has so many advantages for data transfer. It has a special
feature to transfer the data in on-chip named as transitional encoder. Its operation is based on input
transitions. At the same time it supports systems which are higher operated frequencies. In this
project, a low-power encoding scheme is proposed. The proposed system yields lower dynamic
power dissipation due to the reduction of switching activity and coupling switching activity when
compared to existing system. Even-though many factors which is based on power dissipation, the
dynamic power dissipation is only considerable for reasonable advantage. The proposed system is
synthesized using quartus II 9.1 software. Besides, the proposed system will be extended up to
interlink PE communication with help of routers and PE’s which are performed by various
operations. To implement this system in real NOC’s contains the proposed encoders and decoders for
data transfer with regular traffic scenarios should be considered.
An automated dynamic offset for network selection in heterogeneous networksmuhammed jassim k
SOFTRONIICS.The best project centre in calicut.providing project guidance and assistance to mca,msc,bca,bsc.mtech,btech..etc.and also providing course and internship in java,python,php,dotnet,embedded,android..etc
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
Energy Behavior in Ad Hoc Network Minimizing the Number of Hops and Maintaini...CSCJournals
Wireless ad-hoc mesh network is a special kind of network, where all of the nodes move in time. The topology of the network changes as the nodes are in the proximity of each other. Ad-hoc networks are generally self-configuring no stable infrastructure takes a place. In this network, each node should help relaying packets of neighboring nodes using multi-hop routing mechanism. This mechanism is needed to reach far destination nodes to solve problem of dead communication. This multiple traffic "hops" within a wireless mesh network caused dilemma. Wireless mesh network that contain multiple hops become increasingly vulnerable to problems such as energy degradation and rapid increasing of overhead packets. This paper provides a generic routing framework that balances energy efficient broadcast schemes in Wireless (Ad-Hoc) Mesh Network and maintaining connectivity of nodes (mobile terminals). Typically, each node’s activities will consume energy, either for sending packets, receiving or preparing/processing packets. Number of hops, distance of nodes, and size of packet will determine the consumption of energy. The framework is based on the principle that additional relay nodes with appropriate energy and routing metric between source and final destination significantly reduces the energy consumption necessary to deliver packets in Wireless (Ad-Hoc) Mesh Network while keep the connectivity of dynamic nodes. Using the framework, the average network connectivity is kept 18% higher and the lifetime of network lasting more than 2.38% compared with network with Link State Routing mechanism. The simulation notes that the end-to-end delay may increase rapidly if relay nodes are more than five.
Data encoding techniques for reducing energyb consumption in network on-chipLogicMindtech Nologies
VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
A NEW DATA ENCODER AND DECODER SCHEME FOR NETWORK ON CHIPEditor IJMTER
System-on-chip (soc) based system has so many disadvantages in power-dissipation as
well as clock rate while the data transfer from one system to another system in on-chip. At the same
time, a higher operated system does not support the lower operated bus network for data transfer.
However an alternative scheme is proposed for high speed data transfer. But this scheme is limited to
SOCs. Unlike soc, network-on-chip (NOC) has so many advantages for data transfer. It has a special
feature to transfer the data in on-chip named as transitional encoder. Its operation is based on input
transitions. At the same time it supports systems which are higher operated frequencies. In this
project, a low-power encoding scheme is proposed. The proposed system yields lower dynamic
power dissipation due to the reduction of switching activity and coupling switching activity when
compared to existing system. Even-though many factors which is based on power dissipation, the
dynamic power dissipation is only considerable for reasonable advantage. The proposed system is
synthesized using quartus II 9.1 software. Besides, the proposed system will be extended up to
interlink PE communication with help of routers and PE’s which are performed by various
operations. To implement this system in real NOC’s contains the proposed encoders and decoders for
data transfer with regular traffic scenarios should be considered.
Cooperative load balancing and dynamic channel allocation for cluster based m...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Cooperative load balancing and dynamic channel allocation for cluster based m...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
One of the most important design problems for multi-UAV (Unmanned Air Vehicle) systems is the communication which is crucial for cooperation and collaboration between the UAVs. If all UAVs are directly connected to an infrastructure, such as a ground base or a satellite, the communication between UAVs can be realized through the in-frastructure. However, this infrastructure based communication architecture restricts the capabilities of the multi-UAV systems. Ad-hoc networking between UAVs can solve the problems arising from a fully infrastructure based UAV networks. In this paper, Flying Ad-Hoc Networks (FANETs) are surveyed which is an ad hoc network connecting the UAVs. The differences between FANETs, MANETs (Mobile Ad-hoc Networks) and VANETs (Vehicle Ad-Hoc Networks) are clarified first, and then the main FANET design challenges are introduced. Along with the existing MANET protocols, open research issues are also discussed.
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSijwmn
One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).
The Wireless sensor networks (WSN) consisting of a large number of sensors that are effective for gathering data
in a variety of environments, as the sensor operate on battery which is of limited power. To support high scalability and better data aggregation in fixed base station communication, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters. Clusters create hierarchical WSN which incorporate efficient utilization of limited resources of sensor nodes. These clusters are formed by specialized cells. Each cluster is managed by a special node called cluster head and advanced node. An algorithm for better cluster head selection
based on the node energy and the distance from base station to the cluster head for the efficient transmission and to reduce energy consumption by the sensor nodes is proposed in this paper. And the same algorithm is compared with the LEACH algorithm in terms of energy consumption.
GPSFR: GPS-Free Routing Protocol for Vehicular Networks with Directional Ante...ijwmn
Efficient and practical communications between large numbers of vehicles are critical in providing high level of safety and convenience to drivers. Crucial real-time information on road hazard, traffic conditions and driver services must be communicated to vehicles rapidly even in adverse environments, such as “urban canyons” and tunnels. We propose a novel routing protocol in vehicular networks that does not require position information (e.g. from GPS) but instead rely on relative position that can be determined dynamically. This GPS-Free Geographic Routing (GPSFR) protocol uses the estimated relative position of vehicles and greedily chooses the best next hop neighbor based on a Balance Advance (BADV) metric which balances between proximity and link stability in order to improve routing performance. In this paper, we focuses primarily on the complexity of routing in highways and solves routing problems that arise when vehicles are near interchanges, curves, and merge or exit lanes of highways. Our simulation results show that by taking relative velocity into account, GPSFR reduces link breakage to only 27% that of GPSR in the dense network. Consequently, GPSFR outperforms GPSR in terms of higher data delivery ratio, lower delay, less sensitivity of the network density and route paths’length
Hierarchical Coordination for Data Gathering (HCDG) in Wireless Sensor NetworksCSCJournals
A wireless sensor network (WSN) consists of large number of sensor nodes where each node operates by a finite battery for sensing, computing, and performing wireless communication tasks. Energy aware routing and MAC protocols were proposed to prolong the lifetime of WSNs. MAC protocols reduce energy consumption by putting the nodes into sleep mode for a relatively longer period of time; thereby minimizing collisions and idle listening time. On the other hand, efficient energy aware routing is achieved by finding the best path from the sensor nodes to the Base Sta-tion (BS) where energy consumption is minimal. In almost all solutions there is always a tradeoff between power consumption and delay reduction. This paper presents an improved hierarchical coordination for data gathering (HCDG) routing schema for WSNs based on multi-level chains formation with data aggregation. Also, this paper provides an analytical model for energy consumption in WSN to compare the performance of our proposed HCDG schema with the near optimal energy reduction methodology, PEGASIS. Our results demonstrate that the proposed routing schema provides relatively lower energy consumption with minimum delay for large scale WSNs.
Energy Consumption in Ad Hoc Network With Agents Minimizing the Number of Hop...CSCJournals
Wireless mobile ad-hoc network (MANET) is a special kind of network, where all of the nodes move in time. Node is intended to help relaying packets of neighboring nodes using multi-hop routing mechanism in order to solve problem of dead communication. MANET which engages broadcasting and contains multiple hops becomes increasingly vulnerable to problems such as mobile node’s energy degradation, routing problem and rapid increasing of overhead packets. This paper provides an extensive study of energy consumption in the MANET that consists of several network areas with the presence agents. Agents will minimize number of hops and its affect in linearity with the delay. As nodes grow, either in data transmission services or coverage of node’s communication or more agents stand in overlapped locations, accordingly data exchange and topology development to adapt the network are becoming an important issue. As a result, agents are needed to support process automation, high-level connectivity and intelligent service on that such environment. We evaluate the agents’ performance and network energy consumption for supporting MANET. The proposed agents provides service packets transmission between networks; e.g. determine appropriate relay nodes dynamically, maintain the transmission between networks through another nodes, share the topology knowledge among agents, and route packets between source and final destination that are unable to communicate directly. The achievement on research with this approach is conducted via simulation study. A similar network without agents is presented to derive such referential bounds by using appropriate functions of network agents. The proposed algorithm is confirmed with composite simulation results.
Cooperative load balancing and dynamic channel allocation for cluster based m...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Cooperative load balancing and dynamic channel allocation for cluster based m...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
One of the most important design problems for multi-UAV (Unmanned Air Vehicle) systems is the communication which is crucial for cooperation and collaboration between the UAVs. If all UAVs are directly connected to an infrastructure, such as a ground base or a satellite, the communication between UAVs can be realized through the in-frastructure. However, this infrastructure based communication architecture restricts the capabilities of the multi-UAV systems. Ad-hoc networking between UAVs can solve the problems arising from a fully infrastructure based UAV networks. In this paper, Flying Ad-Hoc Networks (FANETs) are surveyed which is an ad hoc network connecting the UAVs. The differences between FANETs, MANETs (Mobile Ad-hoc Networks) and VANETs (Vehicle Ad-Hoc Networks) are clarified first, and then the main FANET design challenges are introduced. Along with the existing MANET protocols, open research issues are also discussed.
BIO-INSPIRED SEAMLESS VERTICAL HANDOVER ALGORITHM FOR VEHICULAR AD HOC NETWORKSijwmn
One of the most important factors to implement VANET is by considering the variety of wireless networks available around the city as well as the vehicles traffic scenarios. However, by providing a diverse range of wireless access technologies, it is necessary to provide continuous network connectivity as well as selecting the most suitable network technology and performance. Many researchers have worked on building algorithms for selecting the best network to improve the handover process. However, with high-speed vehicles mobility, the vertical handover process became the most challenging task in order to achieve realtime network selection. This paper proposes a bio-inspired network selection algorithm influenced by insect's behaviour which combines Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). The proposed algorithm is applied to process multi-criteria parameters to evaluate the best available network and then execute the handover process seamlessly. The results demonstrate the benefits of the proposed Multi-Criteria ABC-PSO method by reducing the handover decision delays by 25%. It gives the optimum performance in terms of network selections and reduces the handover latency by 14.5%. The proposed algorithm also reduces the number of unnecessary handovers by 48% for three different mobility scenarios based on traffic environments (highway, urban and traffic jam).
The Wireless sensor networks (WSN) consisting of a large number of sensors that are effective for gathering data
in a variety of environments, as the sensor operate on battery which is of limited power. To support high scalability and better data aggregation in fixed base station communication, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters. Clusters create hierarchical WSN which incorporate efficient utilization of limited resources of sensor nodes. These clusters are formed by specialized cells. Each cluster is managed by a special node called cluster head and advanced node. An algorithm for better cluster head selection
based on the node energy and the distance from base station to the cluster head for the efficient transmission and to reduce energy consumption by the sensor nodes is proposed in this paper. And the same algorithm is compared with the LEACH algorithm in terms of energy consumption.
GPSFR: GPS-Free Routing Protocol for Vehicular Networks with Directional Ante...ijwmn
Efficient and practical communications between large numbers of vehicles are critical in providing high level of safety and convenience to drivers. Crucial real-time information on road hazard, traffic conditions and driver services must be communicated to vehicles rapidly even in adverse environments, such as “urban canyons” and tunnels. We propose a novel routing protocol in vehicular networks that does not require position information (e.g. from GPS) but instead rely on relative position that can be determined dynamically. This GPS-Free Geographic Routing (GPSFR) protocol uses the estimated relative position of vehicles and greedily chooses the best next hop neighbor based on a Balance Advance (BADV) metric which balances between proximity and link stability in order to improve routing performance. In this paper, we focuses primarily on the complexity of routing in highways and solves routing problems that arise when vehicles are near interchanges, curves, and merge or exit lanes of highways. Our simulation results show that by taking relative velocity into account, GPSFR reduces link breakage to only 27% that of GPSR in the dense network. Consequently, GPSFR outperforms GPSR in terms of higher data delivery ratio, lower delay, less sensitivity of the network density and route paths’length
Hierarchical Coordination for Data Gathering (HCDG) in Wireless Sensor NetworksCSCJournals
A wireless sensor network (WSN) consists of large number of sensor nodes where each node operates by a finite battery for sensing, computing, and performing wireless communication tasks. Energy aware routing and MAC protocols were proposed to prolong the lifetime of WSNs. MAC protocols reduce energy consumption by putting the nodes into sleep mode for a relatively longer period of time; thereby minimizing collisions and idle listening time. On the other hand, efficient energy aware routing is achieved by finding the best path from the sensor nodes to the Base Sta-tion (BS) where energy consumption is minimal. In almost all solutions there is always a tradeoff between power consumption and delay reduction. This paper presents an improved hierarchical coordination for data gathering (HCDG) routing schema for WSNs based on multi-level chains formation with data aggregation. Also, this paper provides an analytical model for energy consumption in WSN to compare the performance of our proposed HCDG schema with the near optimal energy reduction methodology, PEGASIS. Our results demonstrate that the proposed routing schema provides relatively lower energy consumption with minimum delay for large scale WSNs.
Energy Consumption in Ad Hoc Network With Agents Minimizing the Number of Hop...CSCJournals
Wireless mobile ad-hoc network (MANET) is a special kind of network, where all of the nodes move in time. Node is intended to help relaying packets of neighboring nodes using multi-hop routing mechanism in order to solve problem of dead communication. MANET which engages broadcasting and contains multiple hops becomes increasingly vulnerable to problems such as mobile node’s energy degradation, routing problem and rapid increasing of overhead packets. This paper provides an extensive study of energy consumption in the MANET that consists of several network areas with the presence agents. Agents will minimize number of hops and its affect in linearity with the delay. As nodes grow, either in data transmission services or coverage of node’s communication or more agents stand in overlapped locations, accordingly data exchange and topology development to adapt the network are becoming an important issue. As a result, agents are needed to support process automation, high-level connectivity and intelligent service on that such environment. We evaluate the agents’ performance and network energy consumption for supporting MANET. The proposed agents provides service packets transmission between networks; e.g. determine appropriate relay nodes dynamically, maintain the transmission between networks through another nodes, share the topology knowledge among agents, and route packets between source and final destination that are unable to communicate directly. The achievement on research with this approach is conducted via simulation study. A similar network without agents is presented to derive such referential bounds by using appropriate functions of network agents. The proposed algorithm is confirmed with composite simulation results.
Downlink and uplink energy minimization through user association and beamform...ieeepondy
Downlink and uplink energy minimization through user association and beamforming in c ran
+91-9994232214,8144199666, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2015-2016
-----------------------------------
Contact:+91-9994232214,+91-8144199666
Email:ieeeprojectchennai@gmail.com
ieee projects chennai, ieee projects bangalore
HYBRID OPTICAL AND ELECTRICAL NETWORK FLOWS SCHEDULING IN CLOUD DATA CENTRESijcsit
Hybrid intra-data centre networks, with optical and electrical capabilities, are attracting research interest
in recent years. This is attributed to the emergence of new bandwidth greedy applications and novel
computing paradigms. A key decision to make in networks of this type is the selection and placement of
suitable flows for switching in circuit network. Here, we propose an efficient strategy for flow selection and
placement suitable for hybrid Intra-cloud data centre networks. We further present techniques for
investigating bottlenecks in a packet networks and for the selection of flows to switch in circuit network.
The bottleneck technique is verified on a Software Defined Network (SDN) testbed. We also implemented
the techniques presented here in a scalable simulation experiment to investigate the impact of flow
selection on network performance. Results obtained from scalable simulation experiment indicate a
considerable improvement on average throughput, lower configuration delay, and stability of offloaded
flows..
FLEXIBLE VIRTUAL ROUTING FUNCTION DEPLOYMENT IN NFV-BASED NETWORK WITH MINIMU...IJCNCJournal
In a conventional network, most network devices, such as routers, are dedicated devices that do not
have much variation in capacity. In recent years, a new concept of Network Functions
Virtualisation (NFV) has come into use. The intention is to implement a variety of network functions
with software on general-purpose servers and this allows the network operator to select any
capabilities and locations of network functions without any physical constraints.
This paper focuses on the deployment of NFV-based routing functions which are one of critical
virtual network functions, and present the algorithm of virtual routing function allocation that
minimize the total network cost. In addition, this paper presents the useful allocation policy of
virtual routing functions, based on an evaluation with a ladder-shaped network model. This policy
takes the ratio of the cost of a routing function to that of a circuit and traffic distribution in the
network into consideration. Furthermore, this paper shows that there are cases where the use of
NFV-based routing functions makes it possible to reduce the total network cost dramatically, in
comparison to a conventional network, in which it is not economically viable to distribute smallcapacity
routing functions
ANALYSIS OF LINK STATE RESOURCE RESERVATION PROTOCOL FOR CONGESTION MANAGEMEN...ijgca
With the wide spread of WiFi hotspots, concentrated traffic workload on Smart Web (SW) can slow down the network performance. This paper presents a congestion management strategy considering real time activities in today’s smart web. With the SW context, cooperative packet recovery using resource reservation procedure for TCP flows was adapted for mitigating packet losses. This is to maintain data consistency between various access points of smart web hotspot. Using a real world scenario, it was confirmed that generic TCP cannot handle traffic congestion in a SW hotspot network. With TCP in scalable workload environments, continuous packet drops at the event of congestion remains obvious. This is unacceptable for mission critical domains. An enhanced Link State Resource Reservation Protocol (LSRSVP) which serves as dynamic feedback mechanism in smart web hotspots is presented. The contextual behaviour was contrasted with the generic TCP model. For the LS-RSVP, a simulation experiment for TCP connection between servers at the remote core layer and the access layer was carried out while using selected benchmark metrics. From the results, under realistic workloads, a steady-state throughput response was achieved by TCP LS-RSVP to about 3650Bits/secs compared with generic TCP plots in a previous study. Considering network service availability, this was found to be dependent on fault-tolerance of the hotspot network. From study, a high peak threshold of 0.009 (i.e. 90%) was observed. This shows fairly acceptable service availability behaviour compared with the existing TCP schemes. For packet drop effects, an analysis on the network behaviour with respect to the LS-RSVP yielded a drop response of about 0.000106 bits/sec which is much lower compared with the case with generic TCP with over 0.38 bits/sec. The latency profile of average FTP download response was found to be 0.030secs, but with that of FTP upload response, this yielded about 0.028 sec. The results from the study demonstrate efficiency and optimality for realistic loads in Smart web contexts.
Analysis of Link State Resource Reservation Protocol for Congestion Managemen...ijgca
With the wide spread of WiFi hotspots, concentrated traffic workload on Smart Web (SW) can slow down
the network performance. This paper presents a congestion management strategy considering real time
activities in today’s smart web. With the SW context, cooperative packet recovery using resource
reservation procedure for TCP flows was adapted for mitigating packet losses. This is to maintain data
consistency between various access points of smart web hotspot. Using a real world scenario, it was
confirmed that generic TCP cannot handle traffic congestion in a SW hotspot network. With TCP in
scalable workload environments, continuous packet drops at the event of congestion remains obvious. This
is unacceptable for mission critical domains. An enhanced Link State Resource Reservation Protocol (LSRSVP)
which serves as dynamic feedback mechanism in smart web hotspots is presented. The contextual
behaviour was contrasted with the generic TCP model. For the LS-RSVP, a simulation experiment for TCP
connection between servers at the remote core layer and the access layer was carried out while using
selected benchmark metrics. From the results, under realistic workloads, a steady-state throughput
response was achieved by TCP LS-RSVP to about 3650Bits/secs compared with generic TCP plots in a
previous study. Considering network service availability, this was found to be dependent on fault-tolerance
of the hotspot network. From study, a high peak threshold of 0.009 (i.e. 90%) was observed. This shows
fairly acceptable service availability behaviour compared with the existing TCP schemes. For packet drop
effects, an analysis on the network behaviour with respect to the LS-RSVP yielded a drop response of about
0.000106 bits/sec which is much lower compared with the case with generic TCP with over 0.38 bits/sec.
The latency profile of average FTP download response was found to be 0.030secs, but with that of FTP
upload response, this yielded about 0.028 sec. The results from the study demonstrate efficiency and
optimality for realistic loads in Smart web contexts.
Air Interface Virtualization using FBMC and OFDM ConfigurationsMalik Saad
Real time on air experiment is performed on Software-defined Radio (SDR) for radio virtualization using orthogonal frequency division multiplexing and filter bank multi carrier to support diverse mobile service requirements for user equipment.
ENERGY CONSUMPTION REDUCTION IN WIRELESS SENSOR NETWORK BASED ON CLUSTERINGIJCNCJournal
One of the important issues in the routing protocol design in Wireless Sensor Networks (WSNs) is
minimizing energy consumption and maximizing network lift time. Nowadays networks and information
systems are one of the main parts of modern life that without them, people cannot live. On the hand, the
impairment of these networks leads to great and incalculable costs. In this paper, a new method based on
clustering has presented that problem of energy consumption is solved. The proposed algorithm is that
energy-based clustering can create clusters of the same energy level and distribute energy efficiency across
the WNS nodes. This proposed clustering protocol classify network nodes based on energy and
neighbourhood criteria and attempts to better balance energy in clusters and ultimately increase network
lifetime and maintain network coverage. Results are shown that the proposed algorithm is on average 40%
better than LEACH algorithm and 14% better than IBLEACH algorithm
EDGE CONTROLLER PLACEMENT FOR NEXT GENERATION WIRELESS SENSOR NETWORKSijcsit
Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a
substantial amount of computing resources, data processing and resource management at the extreme edge
of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation
wireless sensor networks for the fourth revolution in the industrial process. Adopting fog architecture into
Industrial communication systems is a promising technology within sensor networks architecture. With
Software Defined Network (SDN) architecture, in this paper, we address edge controller placement as an
optimization problem with the objective of more robustness while minimizing the delay of network
management and the associated synchronization overhead. The optimization problem is provided and
modelled as submodular function. Two algorithms are provided to find the optimal solution using a real
wireless network to get more realistic results. Greedy Algorithm and Connectivity Ranking Algorithm are
provided. Greedy algorithm outperforms connectivity ranking algorithm to find the optimum balance
between the different metrics. Also, based on the network operator preference, the number of edge
controllers to be placed will be provided. This research paper plays a great role in standardization of
softwarization into Industrial communication systems for next generation wireless sensor networks.
Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a
substantial amount of computing resources, data processing and resource management at the extreme edge
of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation
wireless sensor networks for the fourth revolution in the industrial process. Adopting fog architecture into
Industrial communication systems is a promising technology within sensor networks architecture. With
Software Defined Network (SDN) architecture, in this paper, we address edge controller placement as an
optimization problem with the objective of more robustness while minimizing the delay of network
management and the associated synchronization overhead. The optimization problem is provided and
modelled as submodular function. Two algorithms are provided to find the optimal solution using a real
wireless network to get more realistic results. Greedy Algorithm and Connectivity Ranking Algorithm are
provided. Greedy algorithm outperforms connectivity ranking algorithm to find the optimum balance
between the different metrics. Also, based on the network operator preference, the number of edge
controllers to be placed will be provided. This research paper plays a great role in standardization of
softwarization into Industrial communication systems for next generation wireless sensor networks.
A Brief Study on Wireless Communication Network Architectureand Sensor NetworksM. A. Nakib Juris
Abstract: In today's focused the operational and business requests of electric utilities require an elite information correspondence arrange that backings both existing functionalities and future operational necessities. In this appreciation, since such a wireless communication network constitutes the core of the electric system automation applications, the design of cost-effective and reliable system engineering is urgent. In this paper, the open doors and difficulties of half breed system engineering are talked about for electric framework automation applications of wireless networks......
Keywords -System Automation, Internet based Virtual Private Network, Power Line Communication, Satellite Communication, Wireless Sensor Networks, Wireless Mesh Networks, WiMAX.
An Efficient Machine Learning Optimization Model for Route Establishment Mech...IJCNCJournal
Internet of Things (IoT) provides interconnection of various wireless communication devices, which offers both ubiquitous accessibility of devices and in-built intelligence capacity. IoT offers interaction with devices and provides sufficient capability advantages of networking and socialization with consideration of intermediate devices. RPL (Routing Protocol for low-power and Lossy Networks) is an attractive model for effective routing techniques in the wireless medium. The increase in demand for wireless systems in terms of energy, reliability, stability, and scale routing IPv6 over 6L0WPAN is being adopted. This research developed an optimized machine learning model (WOABC) routing protocol for route establishment in IoT networks. The constructed RPL routing protocol incorporates an optimization approach for the identification of the best and worst routes in the network. The proposed WOABC evaluates the routing path for data transmission between nodes through optimization techniques for effective route establishment. The optimization of routes is performed with whale optimization techniques. The developed whale optimization technique is incorporated in machine learning networks. Also, the proposed WOABC utilizes an optimization membership function for the identification of the optimal path in the network. The performance of the proposed WOABC is compared with existing techniques such as RPL and Speed – IoT. The comparative analysis showed that the performance of the proposed WOABC is ~3% increased throughput. The performance of the proposed WOABC is significant compared with the existing RPL routing protocol.
AN EFFICIENT MACHINE LEARNING OPTIMIZATION MODEL FOR ROUTE ESTABLISHMENT MECH...IJCNCJournal
Internet of Things (IoT) provides interconnection of various wireless communication devices, which offers
both ubiquitous accessibility of devices and in-built intelligence capacity. IoT offers interaction with
devices and provides sufficient capability advantages of networking and socialization with consideration of
intermediate devices. RPL (Routing Protocol for low-power and Lossy Networks) is an attractive model for
effective routing techniques in the wireless medium. The increase in demand for wireless systems in terms
of energy, reliability, stability, and scale routing IPv6 over 6L0WPAN is being adopted. This research
developed an optimized machine learning model (WOABC) routing protocol for route establishment in IoT
networks. The constructed RPL routing protocol incorporates an optimization approach for the
identification of the best and worst routes in the network. The proposed WOABC evaluates the routing path
for data transmission between nodes through optimization techniques for effective route establishment. The
optimization of routes is performed with whale optimization techniques. The developed whale optimization
technique is incorporated in machine learning networks. Also, the proposed WOABC utilizes an
optimization membership function for the identification of the optimal path in the network. The
performance of the proposed WOABC is compared with existing techniques such as RPL and Speed – IoT.
The comparative analysis showed that the performance of the proposed WOABC is ~3% increased
throughput. The performance of the proposed WOABC is significant compared with the existing RPL
routing protocol.
A wireless network consists of a set of wireless nodes forming the network. The bandwidth allocation scheme used in wireless networks should automatically adapt to the network’s environments, where issues such as mobility are highly variable. This paper proposes a method to distribute the bandwidth for wireless network nodes depending on dynamic methodology;this methodology uses intelligent clustering techniques that depend on the student’s distribution at the university campus, rather than the classical allocation methods. We propose a clustering-based approach to solve the dynamic bandwidth allocation problem in wireless networks, enabling wireless nodes to adapt their bandwidth allocation according to the changing number of expected users over time. The proposed solution allows the optimal online bandwidth allocation based on the data extracted from the lectures timetable, and fed to the wireless network control nodes, allowing them to adapt to their environment. The environment data is processed and clustered using the KMeans clustering algorithm to identify potential peak times for every wireless node. The proposed solution feasibility is tested by applying the approach to a case study, at the Arab American University campus wireless network.
Optimizing the placement of cloud data center in virtualized environmentIJECEIAES
In cloud mobile networks, precise assessment for the position of the virtualization powered cloud center would improve the capacity limit, latency and energy efficiency (EEf). This paper utilized the Monte Carlo oriented particle swarm optimization (PSO) and genetic algorithm (GA) to first, obtain the optimal number of virtual machines (VMs) that maximize the EEf of the mobile cloud center, second, optimize the position of the mobile data center. To fulfil such examination, a power evaluation framework is proposed to shape the power utilization of a virtualized server while hosting an amount of VMs. In addition, the total power consumption of the network is examined, including data center and radio units (RUs). This evaluation is based on linear modelling of the network parameters, such as resource blocks, number of VMs, transmitted and received powers, and overhead power consumption. Finally, the EEf is constrained to many quality of service (QoS) metrics, including number of resource blocks, total latency and minimum user's data rate.
Differentiated Classes of Service and Flow Management using An Hybrid Broker1IDES Editor
Recently, mobile networks have been overloaded
with a considerable amount of data traffic. The current paper
proposes a management service for mobile environments,
using policies and quality metrics, which ensure a better usage
of network resources with a more fine-grained management
based on flows with different classes of service and
transmission rates. This management of flows is supported
through a closed innovative control loop among a flexible
brokerage service in the network, and agents at the mobile
terminals. It also allows the terminals to make well-informed
decisions about their connections to enhance the number of
connected flows per technology and the individual service level
offered to each flow. Our results indicate that the proposed
solution optimizes the usage of available 4G network resources
among a high number of differentiated flows in several
scenarios where access technologies are extremely overloaded
whilst protecting, through a low complexity scheme, the flows
associated to users that have celebrated more expensive
contracts with their network operators.
Service description in the nfv revolution trends, challenges and a way forwardieeepondy
Service description in the nfv revolution trends, challenges and a way forward
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Secure optimization computation outsourcing in cloud computing a case study o...ieeepondy
Secure optimization computation outsourcing in cloud computing a case study of linear programming
'+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Spatial related traffic sign inspection for inventory purposes using mobile l...ieeepondy
Spatial related traffic sign inspection for inventory purposes using mobile laser scanning data
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...ieeepondy
Rebuttal to “comments on ‘control cloud data access privilege and anonymity with fully anonymous attribute based encryption”’
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Scalable cloud–sensor architecture for the internet of thingsieeepondy
Scalable cloud–sensor architecture for the internet of things
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Robust workload and energy management for sustainable data centersieeepondy
Robust workload and energy management for sustainable data centers
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Privacy preserving deep computation model on cloud for big data feature learningieeepondy
Privacy preserving deep computation model on cloud for big data feature learning
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Power optimization with bler constraint for wireless fronthauls in c ranieeepondy
Power optimization with bler constraint for wireless fronthauls in c ran+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Predictive control for energy aware consolidation in cloud datacentersieeepondy
Predictive control for energy aware consolidation in cloud datacenters
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Experimental assessment of abno driven multicast connectivity in flexgrid networks
1. Experimental Assessment of ABNO-driven Multicast Connectivity in
Flexgrid Networks
Abstract:
The increasing demand of internet services is pushing cloud services
providers to increase the capacity of their data centers (DC) and create DC
federations, where two or more cloud providers interconnect their
infrastructures. As a result of the huge capacity required for the inter-DC
network, the flex grid optical technology can be used. In such scenario,
applications can run in DCs placed in geographically distant locations and
hence, multicast-based communication services among their components
are required. In this paper, we study two different approaches to provide
multicast services in multi-layer scenarios assuming that the optical
network is based on the flex grid technology: i) establishing a point-to-
multipoint optical connection (light-tree) for each multicast request, and ii)
using a multi-purpose virtual network topology (VNT) to serve both
unicast and multicast connectivity requests. When that VNT is not able to
serve an incoming request as a result of lack of capacity, it is reconfigured
to add more resources. A control plane architecture based on the
Applications-based Network Operations (ABNO) one, currently being
standardized by the IETF, is presented; workflows are proposed and PCEP
extensions are studied for the considered approaches. The experimental
2. validation is carried-out on a testbed set-up connecting Telefonica, CNIT,
and UPC premises.
Existing System:
Some applications might require group communication services (one-to-
many or many-to-many) among their distributed components. Although
point-to-point (p2p) connectivity can be used thus, copying contents to
each of the destinations, point-to-multipoint (p2mp) connections might fit
better to this purpose.
The new capacity demands advocate for an evolution towards optical
transport-based solutions for DC interconnection [2]. In this area, the
flexgrid optical network technology is being extensively investigated
because of its inherent spectrum efficiency and connection flexibility.
Proposed System:
In this paper we assume that the Application-Based Network Operations
(ABNO) architecture is used. The DCs participating in the communication
are considered to be part of a federation. As such, a cloud management
system at federation level is in charge of managing intra-DC resources.
Typically, one or more core Ethernet programmable switches within each
DC are connected to the flexgrid optical core network providing the
necessary interconnection among the DCs in the federation. The necessary
coordination between the cloud management system in each DC and the
ABNO based transport network control element is performed by a
differentiated software element, named as Application Service Orchestrator
3. (ASO), acting as an end-to-end orchestrator and responsible of translating
the connectivity requests from the DCs to the ABNO element.
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• RAM : 256 Mb.
Software Requirements:
• Operating system : - Windows XP.
• Front End : - JSP
• Back End : - SQL Server
Software Requirements:
• Operating system : - Windows XP.
• Front End : - .Net
• Back End : - SQL Server
![validation is carried-out on a testbed set-up connecting Telefonica, CNIT,
and UPC premises.
Existing System:
Some applications might require group communication services (one-to-
many or many-to-many) among their distributed components. Although
point-to-point (p2p) connectivity can be used thus, copying contents to
each of the destinations, point-to-multipoint (p2mp) connections might fit
better to this purpose.
The new capacity demands advocate for an evolution towards optical
transport-based solutions for DC interconnection [2]. In this area, the
flexgrid optical network technology is being extensively investigated
because of its inherent spectrum efficiency and connection flexibility.
Proposed System:
In this paper we assume that the Application-Based Network Operations
(ABNO) architecture is used. The DCs participating in the communication
are considered to be part of a federation. As such, a cloud management
system at federation level is in charge of managing intra-DC resources.
Typically, one or more core Ethernet programmable switches within each
DC are connected to the flexgrid optical core network providing the
necessary interconnection among the DCs in the federation. The necessary
coordination between the cloud management system in each DC and the
ABNO based transport network control element is performed by a
differentiated software element, named as Application Service Orchestrator](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)