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Self-managing the Performance of Distributed Computing Systems - An Expert Control Solution

机译:自我管理分布式计算系统的性能 - 专家控制解决方案

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The advent of internet and cloud computing trends is increasing the complexity of IT Infrastructures very rapidly. The non-functional requirements availability and performance are becoming increasingly important. IT Service providers constantly facing challenges to meet the performance related SLAs defined with Enterprise Customers. To meet such demands, IT environments are built with self-managing capabilities. Autonomic Computing has emerged to support self-managing features using the feedback control systems. There are investigations in using control systems in different areas of computing such as computer networking, database systems, data centers and distributed computing systems in enterprise and cloud environments. We observe that there is a need for an end-to-end solution starting from design and modeling of the software, deploying and runtime management that enables in building self-managing. In this paper we propose an end-to-end Expert Control System Solution for Distributed Computing Systems and discuss its application in Java Enterprise environments.
机译:互联网和云计算趋势的出现正在迅速增加IT基础架构的复杂性。非功能性要求可用性和性能变得越来越重要。 IT服务提供商不断面临挑战,以满足企业客户定义的性能相关的SLA。为了满足此类需求,IT环境采用自我管理功能构建。自主计算已经出现了支持使用反馈控制系统的自我管理功能。在企业和云环境中使用不同的计算区域中的控制系统,在不同的计算区域中的控制系统进行了调查,例如计算机网络,数据库系统,数据中心和分布式计算系统。我们观察到,需要一种端到端解决方案,从软件,部署和运行时管理的设计和建模开始,可以在建立自我管理中。在本文中,我们提出了一个用于分布式计算系统的端到端专家控制系统解决方案,并讨论其在Java Enterprise环境中的应用。

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