The Experts below are selected from a list of 21 Experts worldwide ranked by ideXlab platform
Guozhen Cheng - One of the best experts on this subject based on the ideXlab platform.
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Orchestrating network Functions in software-defined networks
China Communications, 2017Co-Authors: Hongchao Hu, Lin Pang, Zhenpeng Wang, Guozhen ChengAbstract:Software-defined networking (SDN) enables third-part companies to participate in the network Function innovations. A number of instances for one network Function will inevitably co-exist in the network. Although some orchestration architecture has been proposed to chain network Functions, rare works are focused on how to optimize this process. In this paper, we propose an optimized model for network Function orchestration, Function combination model (FCM). Our main contributions are as following. First, network Functions are featured with a new abstraction, and are open to external providers. And FCM identifies network Functions using unique type, and organizes their instances distributed over the network with the appropriate way. Second, with the specialized demands, we can Combine Function instances under the global network views, and formulate it into the problem of Boolean linear program (BLP). A simulated annealing algorithm is designed to approach optimal solution for this BLP. Finally, the numerical experiment demonstrates that our model can create outstanding composite schemas efficiently.
Hongchao Hu - One of the best experts on this subject based on the ideXlab platform.
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Orchestrating network Functions in software-defined networks
China Communications, 2017Co-Authors: Hongchao Hu, Lin Pang, Zhenpeng Wang, Guozhen ChengAbstract:Software-defined networking (SDN) enables third-part companies to participate in the network Function innovations. A number of instances for one network Function will inevitably co-exist in the network. Although some orchestration architecture has been proposed to chain network Functions, rare works are focused on how to optimize this process. In this paper, we propose an optimized model for network Function orchestration, Function combination model (FCM). Our main contributions are as following. First, network Functions are featured with a new abstraction, and are open to external providers. And FCM identifies network Functions using unique type, and organizes their instances distributed over the network with the appropriate way. Second, with the specialized demands, we can Combine Function instances under the global network views, and formulate it into the problem of Boolean linear program (BLP). A simulated annealing algorithm is designed to approach optimal solution for this BLP. Finally, the numerical experiment demonstrates that our model can create outstanding composite schemas efficiently.
Mohammad Reza Majma - One of the best experts on this subject based on the ideXlab platform.
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A modern method to improve efficiency of Hadoop and MapReduce cluster using Software-Defined Networks technology
2017 Iranian Conference on Electrical Engineering (ICEE), 2017Co-Authors: Emad Soltani Nejad, Mohammad Reza MajmaAbstract:In the recent years, there has been a substantial increase in data growth rate. Accordingly, a powerful framework for analysis and processing of big data is required. Hadoop and MapReduce Framework is a suitable framework for resolution of this problem. It eliminates complexities of parallel programming such as data distribution, timing, and node failure. Application of big data in Hadoop cluster network is characterized by large amount of eastern-western traffic, changes in traffic patterns in dynamic manners, and immediate nature, which have caused several challenges including traffic increase and congestion. In this article, a modern method to improve efficiency of Hadoop and MapReduce Framework is presented that is activated using Software-Defined Network (SDN) technology based on network traffic and operates Combine Function. OpenFlow protocol is tested on a Hadoop cluster with ten artificial nodes in Cloudera. Results of this test on high traffic load networks are expressive of improvement of Hadoop cluster efficiency using OpenFlow protocol.
Lin Pang - One of the best experts on this subject based on the ideXlab platform.
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Orchestrating network Functions in software-defined networks
China Communications, 2017Co-Authors: Hongchao Hu, Lin Pang, Zhenpeng Wang, Guozhen ChengAbstract:Software-defined networking (SDN) enables third-part companies to participate in the network Function innovations. A number of instances for one network Function will inevitably co-exist in the network. Although some orchestration architecture has been proposed to chain network Functions, rare works are focused on how to optimize this process. In this paper, we propose an optimized model for network Function orchestration, Function combination model (FCM). Our main contributions are as following. First, network Functions are featured with a new abstraction, and are open to external providers. And FCM identifies network Functions using unique type, and organizes their instances distributed over the network with the appropriate way. Second, with the specialized demands, we can Combine Function instances under the global network views, and formulate it into the problem of Boolean linear program (BLP). A simulated annealing algorithm is designed to approach optimal solution for this BLP. Finally, the numerical experiment demonstrates that our model can create outstanding composite schemas efficiently.
Zhenpeng Wang - One of the best experts on this subject based on the ideXlab platform.
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Orchestrating network Functions in software-defined networks
China Communications, 2017Co-Authors: Hongchao Hu, Lin Pang, Zhenpeng Wang, Guozhen ChengAbstract:Software-defined networking (SDN) enables third-part companies to participate in the network Function innovations. A number of instances for one network Function will inevitably co-exist in the network. Although some orchestration architecture has been proposed to chain network Functions, rare works are focused on how to optimize this process. In this paper, we propose an optimized model for network Function orchestration, Function combination model (FCM). Our main contributions are as following. First, network Functions are featured with a new abstraction, and are open to external providers. And FCM identifies network Functions using unique type, and organizes their instances distributed over the network with the appropriate way. Second, with the specialized demands, we can Combine Function instances under the global network views, and formulate it into the problem of Boolean linear program (BLP). A simulated annealing algorithm is designed to approach optimal solution for this BLP. Finally, the numerical experiment demonstrates that our model can create outstanding composite schemas efficiently.