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Moving Beyond End-to-End Path Information to Optimize CDN Performance
 

Summary: Moving Beyond End-to-End Path Information to Optimize
CDN Performance
Rupa Krishnan§ Harsha V. Madhyastha Sridhar Srinivasan§ Sushant Jain§
Arvind Krishnamurthy£ Thomas Anderson£ Jie Gao
§ Google Inc. University of California, San Diego £ University of Washington Stony Brook University
{rupak,sridhars,sushantj}@google.com, harsha@cs.ucsd.edu
{arvind,tom}@cs.washington,edu, jgao@cs.sunysb.edu
ABSTRACT
Replicating content across a geographically distributed set of servers
and redirecting clients to the closest server in terms of latency has
emerged as a common paradigm for improving client performance.
In this paper, we analyze latencies measured from servers in Google's
content distribution network (CDN) to clients all across the Inter-
net to study the effectiveness of latency-based server selection. Our
main result is that redirecting every client to the server with least
latency does not suffice to optimize client latencies. First, even
though most clients are served by a geographically nearby CDN
node, a sizeable fraction of clients experience latencies several tens
of milliseconds higher than other clients in the same region. Sec-
ond, we find that queueing delays often override the benefits of a

  

Source: Anderson, Tom - Department of Computer Science and Engineering, University of Washington at Seattle
Love-Geffen, Tracy E.- Department of Psychology, University of California at San Diego
Madhyastha, Harsha V. - Department of Computer Science and Engineering, University of California at Riverside
Madhyastha, Harsha V. - Department of Computer Science and Engineering, University of California at San Diego
Pregibon, Daryl - Google Labs

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences; Mathematics