中文版 | English
CSpace
Efficient dynamical system resource management method in cloud computing
Wu, Tianshu1; Wang, Shuai1,2; Shi, Xiaoyu3
2019
摘要The resource management of virtualisation system is a core issue in the field of cloud computing. For achieving the goal of efficient manage system resource without performance loss in clouding environment, the authors propose an optimal load balancing controller to assign the resource to different virtual machines, which run on a single physical server. Here, the authors focus on dynamical web workloads that the system resource management problem can be formulated as a dynamical optimisation problem. In the face of dynamical and robust workloads, the authors present an alternative approach based on the constrained boundary linear quadratic control (cBLQC) method, the optimal resource allocation scheme is solved by minimising the quadratic cost function with constrains on the system input and output. Different with existing works that assume a particular distribution for system noise or ignore the noise directly, the authors loosen the restrictions on system noise, which simply assume that system noise belongs with some reasonable norm-bounded set. Experiments on the Xen-based platform with a set of workload patterns show that the efficiency of authors’ method in terms of control precision and stability. © 2019 Institution of Engineering and Technology. All rights reserved.
语种英语
DOI10.1049/joe.2018.9138
会议(录)名称7th International Symposium on Test Automation and Instrumentation, ISTAI 2018
页码8891-8894
收录类别EI
会议地点Dalian, China
会议日期July 23, 2018