Jive: Performance Driven Abstraction and Optimication for SDN

Authors: 

Aggelos Lazaris, University of Southern California; Daniel Tahara, Yale University; Xin Huang, CIAN; Li Erran Li, Bell Labs; Andreas Voellmy and Y. Richard Yang, Yale University; Minlan Yu, University of Southern California

Abstract: 

A major benefit of software-de ned networking (SDN) over traditional networking is simpler and easier programming of networks. In particular, the emergence of OpenFlow (OF) has provided a standard, centralized approach for a network controller to install forwarding rules at the forwarding engines (called flow tables) of a heterogenous set of network switches, substantially reducing controller-switch dependency, and hence programming complexity.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {182310,
author = {Aggelos Lazaris and Daniel Tahara and Xin Huang and Li Erran Li and Andreas Voellmy and Y. Richard Yang and Minlan Yu},
title = {Jive: Performance Driven Abstraction and Optimication for {SDN}},
booktitle = {Presented as part of the Open Networking Summit 2014 ({ONS} 2014)},
year = {2014},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/ons2014/technical-sessions/presentation/lazaris},
publisher = {{USENIX}},
}
Download
Lazaris PDF