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Evaluating Scalability of a Cloud Based Platform for Biological Networks Analysis

机译:评估基于云的平台进行生物网络分析的可扩展性

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Research centers performing biomedical research collide with the problem of the treatment of large amounts of data. Several scientific fields in biomedical adopt technologies that can analyze samples in a more accurate way thanks to the high granularity which the current equipment provide the results. The cloud computing technology allows to create scalable and flexible infrastructures and data management services. In recent years the number of solutions that can be included within the phenomenon of cloud computing has increased. There are many cases of distributed solutions with high storage and processing capacity and the possibility of serving a large number of users. In this paper authors describe a biological networks modeling tool, implemented with the aid of MapReduce algorithms that works on a cluster in a cloud computing infrastructure.
机译:进行生物医学研究的研究中心与大量数据的处理问题发生了冲突。生物医学的几个科学领域采用的技术可以通过当前设备提供结果的高粒度来以更准确的方式分析样品。云计算技术允许创建可扩展且灵活的基础架构和数据管理服务。近年来,可以包含在云计算现象中的解决方案的数量已经增加。在许多情况下,分布式解决方案具有很高的存储和处理能力,并有可能为大量用户提供服务。在本文中,作者描述了一种生物网络建模工具,该工具是在MapReduce算法的帮助下实现的,该工具可在云计算基础架构中的集群上工作。

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