IRTG: A grid middleware for bioinformatics

Kamal Taha, Ramez Elmasri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Frequently used queries in bioinformatics applications should be given special treatment. This is because: (1) there are certain queries submitted by scientists and researchers over and over again, and (2) biological databases are usually too big and complicated to be rapidly queried every time a user submits a query. We propose in this study a query processor called IRTG that expedites the processing of frequently used queries. IRTG can be considered as a type of middleware running at a central site. It classifies queries per their types and ranks the query types based on their frequencies. The results of queries whose types are classified as frequently used types will be cached at the middleware. Thereafter, each frequently used query of these types will be answered from the middleware rather than from remote sites, which improves the query's response time. We evaluate IRTG experimentally.

Original languageBritish English
Title of host publicationProceedings - 2011 IEEE International Conference on Services Computing, SCC 2011
Pages440-447
Number of pages8
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Services Computing, SCC 2011 - Washington, DC, United States
Duration: 4 Jul 20119 Jul 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Services Computing, SCC 2011

Conference

Conference2011 IEEE International Conference on Services Computing, SCC 2011
Country/TerritoryUnited States
CityWashington, DC
Period4/07/119/07/11

Keywords

  • Bioinformatics
  • Frequently used query
  • Grid middleware
  • Search query

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