Reducing latency and network load using location-aware memcache architectures

Paul G. Talaga, Steve J. Chapin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This work explores how data-locality in a web datacenter can impact the performance of the Memcache caching system. Memcache is a distributed key/value datastore used to cache frequently accessed data such as database requests, HTML page snippets, or any text string. Any client can store, manipulate, or retrieve data quickly by locating the data in the Memcache system using a hashing strategy based on the key. To speed Memcache, we explore alternate storage strategies where data is stored closer to the writer. Two novel Memcache architectures are proposed, based on multi-cpu caching strategies. A model is developed to predict Memcache performance given a web application's usage profile, network variables, and a memcache architecture. Five architecture variants are analyzed and further evaluated in a miniature web farm using the MediaWiki open-source web application. Our results verified our model and we observed a 66% reduction in core network traffic and a 23% reduction in Memcache response time under certain network conditions.

Original languageEnglish (US)
Title of host publicationWeb Information Systems and Technologies - 8th International Conference, WEBIST 2012, Revised Selected Papers
PublisherSpringer Verlag
Pages53-69
Number of pages17
ISBN (Print)9783642366079
DOIs
StatePublished - Jan 1 2013
Event8th International Conference on Web Information Systems and Technologies, WEBIST 2012 - Porto, Portugal
Duration: Apr 18 2012Apr 21 2012

Publication series

NameLecture Notes in Business Information Processing
Volume140 LNBIP
ISSN (Print)1865-1348

Other

Other8th International Conference on Web Information Systems and Technologies, WEBIST 2012
CountryPortugal
CityPorto
Period4/18/124/21/12

Keywords

  • Caching
  • Latency
  • Memcache
  • Network Utilization
  • Web-farm

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

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