Efficient dynamical system resource management method in cloud computing
文献类型:会议论文
作者 | Wu, Tianshu2; Wang, Shuai1,2; Shi, Xiaoyu3![]() |
出版日期 | 2019 |
会议日期 | July 23, 2018 |
会议地点 | Dalian, China |
DOI | 10.1049/joe.2018.9138 |
页码 | 8891-8894 |
英文摘要 | 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. |
会议录 | 7th International Symposium on Test Automation and Instrumentation, ISTAI 2018
![]() |
语种 | 英语 |
电子版国际标准刊号 | 20513305 |
源URL | [http://119.78.100.138/handle/2HOD01W0/9789] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
作者单位 | 1.China West Noraml Univerisity, 637002, China; 2.College of Computer Science, Chongqing University, Chongqing; 400044, China; 3.Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China |
推荐引用方式 GB/T 7714 | Wu, Tianshu,Wang, Shuai,Shi, Xiaoyu. Efficient dynamical system resource management method in cloud computing[C]. 见:. Dalian, China. July 23, 2018. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。