Director of Research (if dissertation) or Advisor (if thesis)
Godfrey, Philip B.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Load balancing
Data centers
Abstract
DRILL is a micro load balancing algorithm designed to efficiently utilize the path redundancy in modern data centers. It uses egress port queue lengths to make fast packet routing decisions to reduce upstream congestion and queueing delays. However, high performance switches with multiple forwarding engines making routing decisions in parallel, do not have direct access to these queue lengths. We explore and evaluate different ways of obtaining this information in data center settings, specifically using incoming traffic and specially generated update packets to piggyback this information. We find that staleness of this data does not have a huge impact on flow completion times compared to DRILL (6% increase) and still achieves a considerable advantage over ECMP (28% decrease).
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