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MicroTE: Fine Grained Traffic Engineering for Data Centers Theophilus Benson
 

Summary: MicroTE: Fine Grained Traffic Engineering for Data Centers
Theophilus Benson
, Ashok Anand
, Aditya Akella
and Ming Zhang

University of Wisconsin-Madison;
Microsoft Research
ABSTRACT
The effects of data center traffic characteristics on data cen-
ter traffic engineering is not well understood. In particu-
lar, it is unclear how existing traffic engineering techniques
perform under various traffic patterns, namely how do the
computed routes differ from the optimal routes. Our study
reveals that existing traffic engineering techniques perform
15% to 20% worse than the optimal solution. We find that
these techniques suffer mainly due to their inability to uti-
lize global knowledge about flow characteristics and make
coordinated decision for scheduling flows.
To this end, we have developed MicroTE, a system that

  

Source: Akella, Aditya - Department of Computer Sciences, University of Wisconsin at Madison
Zhang, Ming - Networking Research Group, Microsoft Research

 

Collections: Computer Technologies and Information Sciences