Experiments on information retrieval mechanisms for distributed biodiversity databases environment

Manavalan, S. Chattopadhyay, Mangala, Prahlada Rao B.B., Sarat Chandra Babu, Akhil Kulkarni
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引用次数: 2

Abstract

This paper mainly brings out the details related to a prototype biodiversity information retrieval system that has been setup using the distributed Grid-Cloud resources of GARUDA Grid project, India. The overall experiment has been done with the help of open source biodiversity databases. The structure of these relational database tables are not standardized and are hosted on a variety of Database Management Systems (DBMS) at different Virtual Machines (VMs) which in general been assumed as geographically distributed. The front end of the end user system is an HTML interface which captures and redirects the user query to the application engine which has been built using python and made functional in master grid node. According to the received input, the python program interprets the data and generates a query in the Structured Query Language (SQL). This generated query is sent to the distributed remote database servers which channelizes to the local DBMS of the cloud's virtual machine and executes the SQL query. The end results are retrieved back by the master grid application engine and been displayed in a new HTML page.
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分布式生物多样性数据库环境下信息检索机制实验
本文主要介绍了利用印度GARUDA网格项目的分布式网格云资源建立的生物多样性信息检索系统原型的相关细节。整个实验是在开源生物多样性数据库的帮助下完成的。这些关系数据库表的结构没有标准化,并且托管在不同虚拟机(vm)上的各种数据库管理系统(DBMS)上,这些虚拟机通常被认为是地理分布的。终端用户系统的前端是一个HTML界面,它捕获用户查询并将其重定向到使用python构建并在主网格节点中实现功能的应用程序引擎。根据接收到的输入,python程序解释数据并使用结构化查询语言(SQL)生成查询。生成的查询被发送到分布式远程数据库服务器,该服务器连接到云虚拟机的本地DBMS并执行SQL查询。最终结果由主网格应用程序引擎检索回来,并显示在一个新的HTML页面中。
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