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A MMDB Cluster Based Cloud Platform for Query-Intensive Web Information Systems

机译:用于查询密集型Web信息系统的基于MMDB集群的云平台

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In recent years, with the rapid development of Internet, those Query-Intensive web information systems can not meet the requirement of high performance, which mainly comes from the following two aspects. First, most database systems that web information systems use store the related data in disks, which causes the slow data access. Second, it is hard to support large numbers of users accessing in parallel due to the limitation of single server's physical resources, which causes the server overload. For solving the problems, this paper proposes a MMDB (Main-Memory Database) cluster based cloud platform for Query-Intensive web information systems. First, we design a MMDB cluster based web information system according to the current technology. Second, we develop a model-based cloud platform, which provides support for the MMDB cluster based web information system at an architecture level. The experiment on a real-world cloud demonstrates the feasibility, effectiveness and benefits of the new approach to improving the performance of those Query-Intensive web information systems.
机译:近年来,随着Internet的飞速发展,那些查询密集型Web信息系统不能满足高性能的要求,这主要来自以下两个方面。首先,Web信息系统使用的大多数数据库系统都将相关数据存储在磁盘中,这导致数据访问缓慢。其次,由于单个服务器物理资源的限制,很难支持大量用户并行访问,这会导致服务器过载。为了解决这些问题,本文提出了一种用于查询密集型Web信息系统的基于MMDB(主内存数据库)集群的云平台。首先,我们根据当前技术设计了一个基于MMDB集群的Web信息系统。其次,我们开发了一个基于模型的云平台,该平台在体系结构级别上为基于MMDB集群的Web信息系统提供了支持。在真实世界的云上进行的实验证明了新方法提高那些查询密集型Web信息系统的性能的可行性,有效性和好处。

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