ULMS: An Accelerator for the Applications by Shifting Writing Log from Local Disk to Clouds

Li Zhou, Yong Zhang, Chunxiao Xing
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Abstract

Log data is critical to applications and the management and analysis of log data is a hot research topic. Existing log managements are normally tightly integrated with applications themselves, which may lead to problems including performance, local storage efficiency, security and non real-time functionality. To solve these problems, we present a SaaS method which shifts writing log data from local disk to clouds, at the same time the log management and analysis functionalities are also done by a cloud. We analyze two architectures to implement this method which are Web Service and Shift-LogActive MQ Initial experiments show the efficiency of later one. In the future, we can apply this tool to application systems which are based on web and database systems to improve their performances
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ULMS:通过将写日志从本地磁盘转移到云,为应用程序提供加速器
测井数据是应用的关键,测井数据的管理与分析是一个研究热点。现有的日志管理通常与应用程序本身紧密集成,这可能会导致性能、本地存储效率、安全性和非实时功能等问题。为了解决这些问题,我们提出了一种SaaS方法,将日志数据写入从本地磁盘转移到云,同时日志管理和分析功能也由云来完成。我们分析了Web Service和Shift-LogActive MQ两种架构来实现该方法,初步实验证明了后一种架构的有效性。在未来,我们可以将该工具应用到基于web和数据库系统的应用系统中,以提高其性能
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