Adaptive Management of a Utility Computing

Yingyin Jiang, Dan Meng, Yi Liang, Danjun Liu, Jianfeng Zhan
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引用次数: 1

Abstract

The complexity of the high performance Web-based application challenges the traditional approaches, which fail to guarantee the reliability and real-time performance required. In this paper, we have studied the adaptive mechanisms for managing such applications and explained them based on a prototype of an adaptive application management system (AMUS) in cluster. AMUS is composed of the SLA event-driven global resource manager, the server resource manager and the self-adapting application systems based on feedback control theory. The adoption of feedback control theory supports the application resource control in the case of the resource contention and the guarantee of the QoS performance in the changing environment
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效用计算的自适应管理
高性能web应用程序的复杂性对传统的方法提出了挑战,传统的方法无法保证所需的可靠性和实时性。本文研究了应用管理的自适应机制,并基于集群中的自适应应用管理系统(AMUS)的原型对其进行了解释。该系统由SLA事件驱动的全局资源管理器、服务器资源管理器和基于反馈控制理论的自适应应用系统组成。反馈控制理论的采用支持了在资源争用情况下的应用资源控制和在变化的环境下QoS性能的保证
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