Jive: Performance Driven Abstraction and Optimization for SDN

Aggelos Lazaris, Daniel Tahara, Xin Huang, Li Erran Li, Andreas Voellmy, Yang Richard Yang, Minlan Yu

In Proc. of the Open Networking Summit (Research Track), Santa Clara, CA, March 2014

Overview

Jive, the short paper that preceded Tango: performance-driven abstraction and optimization for SDN controllers in the presence of diverse switch implementations.

Key contributions

Jive uses a measured switch profile to rewrite and reorder flow-mods into equivalent, faster operations.Jive uses a measured switch profile to rewrite and reorder flow-mods into equivalent, faster operations.
Jive uses a measured switch profile to rewrite and reorder flow-mods into equivalent, faster operations.

Cite this paper

@inproceedings{DBLP:conf/ons/LazarisTHLVYY14,
  author    = {Aggelos Lazaris and
               Daniel Tahara and
               Xin Huang and
               Li Erran Li and
               Andreas Voellmy and
               Yang Richard Yang and
               Minlan Yu},
  title     = {Jive: Performance Driven Abstraction and Optimication for {SDN}},
  booktitle = {Open Networking Summit 2014 - Research Track, {ONS} 2014, Santa Clara,
               CA, USA, March 2-4, 2014},
  year      = {2014},
  crossref  = {DBLP:conf/ons/2014},
  url       = {https://www.usenix.org/conference/ons2014/technical-sessions/presentation/lazaris},
  timestamp = {Wed, 04 Jul 2018 13:06:34 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/ons/LazarisTHLVYY14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}