Fine-Grained Parallel SDN Virtualization Programming Framework
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Software defined network (SDN), which introduces centralized controllers to drastically increase network programmability, has been a hot topic in the network domain. Software defined network separates control plane from data plane of network equipment, establishing a good platform for network virtualization. As the network scales up, the performance of SDN virtualization framework becomes a key bottleneck. Still, current SDN virtualization frameworks lack support for fine-grained parallelism, making them challenging for developers to fully exploit many cores to virtualize large networks. This paper presents a novel API and runtime for fine-grained parallel programming in SDN virtualization framework. By abstracting flows and network resources, the framework programming model enables developers to easily write programs to directly define various virtual networks and parallelly operate the network resource or flow objects by a lock-free manner. Experimental results show that the presented framework has a better logical control performance, allowing one to implement rich functional virtual networks.

    Reference
    Related
    Cited by
Get Citation

宋平,刘轶,刘驰,张晶晶,钱德沛,郝沁汾.一种支持细粒度并行的SDN虚拟化编程框架.软件学报,2014,25(10):2220-2234

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 21,2014
  • Revised:July 07,2014
  • Adopted:
  • Online: September 30,2014
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063