Data sharing model for sequence alignment to reduce database retrieve

Min Jun Kim, Jai Hoon Kim, Jin Won Jung, Weontae Lee

Research output: Contribution to journalArticle

Abstract

Many programs of bioinformatics provide biochemists and biologists retrieve and analysis services of gene and protein databases. These services access databases for each arrival of user's request, which takes a long time, increases server's overload and response time. In this paper, two data sharing models are presented to reduce database retrieve for sequence alignments. (1) Grouping model is proposed to share database access between many requests arrived in a certain period of time by utilizing database access patterns in bioinformatics. (2) Carpool model is also proposed to reduce response time as well as to increase system throughput by servicing new arriving request immediately together with the previous on going requests to share database accesses without waiting time. Simulation results show that two data sharing models can reduce the number of database access by sharing it among many requests and increase system throughput.

Original languageEnglish
Pages (from-to)652-661
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2659
Publication statusPublished - 2003 Dec 1

Fingerprint

Data Sharing
Sequence Alignment
Bioinformatics
Response Time
Model
Throughput
Response time (computer systems)
Overload
Period of time
Waiting Time
Grouping
Immediately
Sharing
Servers
Server
Genes
Gene
Proteins
Protein

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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