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Load balancing method for data management using high availability distributed clusters

机译:使用高可用性分布式集群进行数据管理的负载均衡方法

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Recently, users for various information and communication technology services have been increased with the advancement of terminals and the development of network infrastructure. Hence, systems using distributed data store are becoming widespread to improve scalability, fault tolerance and high reliability. For example, MAGONIA®server architecture, a part of NetroSphere Concept handles large-scale traffic by load-balancing. Basic functions include data redundancy for improvement of the reliability as well as system management in a dynamic scale. In previous studies, distributed data stores supported retrieval of attribute values by inverted index, but there are cases where bias to the index occurred. In this research, we propose a method to divide the hash value of an index in an application conforming to MAGONIA to equalize the load. In addition, a method to determine the bit length to divide is also shown. Then, we evaluate applicability of these proposed methods by actual machine and simulation.
机译:近来,随着终端的发展和网络基础设施的发展,用于各种信息和通信技术服务的用户已经增加。因此,使用分布式数据存储的系统变得越来越普遍,以提高可伸缩性,容错性和高可靠性。例如,MAGONIA ® 服务器体系结构是NetroSphere Concept的一部分,可通过负载平衡处理大规模流量。基本功能包括用于提高可靠性的数据冗余以及动态规模的系统管理。在以前的研究中,分布式数据存储支持通过倒排索引检索属性值,但是在某些情况下会发生索引偏差。在这项研究中,我们提出了一种在符合MAGONIA的应用程序中划分索引的哈希值以均衡负载的方法。另外,还示出了确定要划分的位长度的方法。然后,我们通过实际的机器和仿真来评估这些建议方法的适用性。

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