Evaluating caching and storage options on the Amazon Web Services cloud

David Chiu, Gagan Agrawal

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

21 Scopus citations

Abstract

With the promise on-demand compute/storage resources, many users are deploying data-intensive scientific applications onto Clouds. To accelerate these applications, the prospect of caching intermediate data using the elastic compute and storage framework has proved promising. To this end, we believe that an in-depth study of cache placement decisions over various Cloud storage options would be highly beneficial to a large class of users. While tangential analyses have been proposed, ours in contrast focuses on cost-performance tradeoffs of maintaining a data cache with various parameters of any Cloud application. We have compared several Amazon Web Service (AWS Cloud) resources as possible cache placements and found that application dependent attributes like unit-data size, total cache size, and persistence, have far reaching implications on the cost of cache sustenance. Moreover, while instance-based caches expectedly yield higher cost, the performance that they afford may outweigh lower cost options.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, Grid 2010
Pages17-24
Number of pages8
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 11th IEEE/ACM International Conference on Grid Computing, Grid 2010 - Brussels, Belgium
Duration: Oct 25 2010Oct 29 2010

Publication series

NameProceedings - IEEE/ACM International Workshop on Grid Computing
ISSN (Print)1550-5510

Conference

Conference2010 11th IEEE/ACM International Conference on Grid Computing, Grid 2010
CountryBelgium
CityBrussels
Period10/25/1010/29/10

Keywords

  • AWS
  • Caching strategies
  • Cloud storage
  • Cost

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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