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Data Sharing Model for Sequence Alignment to Reduce Database Retrieve

机译:用于序列比对的数据共享模型,以减少数据库检索

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摘要

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.
机译:许多生物信息学计划可为生物化学家和生物学家提供基因和蛋白质数据库的检索和分析服务。这些服务会在用户请求的每次到达时访问数据库,这需要很长时间,从而增加了服务器的过载和响应时间。在本文中,提出了两个数据共享模型以减少数据库检索的序列比对。 (1)提出了分组模型,以利用生物信息学中的数据库访问模式在一定时间内到达的多个请求之间共享数据库访问。 (2)还提出了拼车模型,通过立即服务新到达的请求以及先前的正在进行的请求以共享数据库访问而无需等待时间,从而减少了响应时间并提高了系统吞吐量。仿真结果表明,两种数据共享模型可以通过在多个请求之间共享数据库来减少数据库访问的次数,并提高系统吞吐量。

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