NDLI: Moving beyond end-to-end path information to optimize CDN performance

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Moving beyond end-to-end path information to optimize CDN performance

Content Provider	ACM Digital Library
Author	Jain, Sushant Madhyastha, Harsha V. Srinivasan, Sridhar Anderson, Thomas Gao, Jie Krishnamurthy, Arvind Krishnan, Rupa
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 Internet 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 experience latencies several tens of milliseconds higher than other in the same region. Second, we find that queueing delays often override the benefits of a client interacting with a nearby server. To help the administrators of Google's CDN cope with these problems, we have built a system called WhyHigh. First, WhyHigh measures client latencies across all nodes in the CDN and correlates measurements to identify the prefixes affected by inflated latencies. Second, since clients in several thousand prefixes have poor latencies, WhyHigh prioritizes problems based on the impact that solving them would have, e.g., by identifying either an AS path common to several inflated prefixes or a CDN node where path inflation is widespread. Finally, WhyHigh diagnoses the causes for inflated latencies using active measurements such as traceroutes and pings, in combination with datasets such as BGP paths and flow records. Typical causes discovered include lack of peering, routing misconfigurations, and side-effects of traffic engineering. We have used WhyHigh to diagnose several instances of inflated latencies, and our efforts over the course of a year have significantly helped improve the performance offered to clients by Google's CDN.
Starting Page	190
Ending Page	201
Page Count	12
File Format	PDF
ISBN	9781605587714
DOI	10.1145/1644893.1644917
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Content distribution networks Latency inflation Network troubleshooting
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Moving Beyond End-to-End Path Information to Optimize CDN Performance (2009)

Moving beyond end-to-end path information to optimize CDN performance (2009)

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Replica placement in adaptive content distribution networks

A Comparative Study on Replica Placement Algorithms for Content Delivery Networks

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Moving beyond end-to-end path information to optimize CDN performance

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