Jive: Performance Driven Abstraction and Optimication for SDN

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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.

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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}},
}
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Lazaris PDF