A Cloud Computing Management System Platform Based on Power-Sensitive Resource

Author

Huafeng Kong ; YunTing Lei ; Zhang Zhang ; Deqing Zou

Author_Institution

Key Lab. of Inf. Network Security Minist. of Public Security, Third Res. Inst. of Minist. of Public Security, Shanghai, China

fYear

2012

fDate

6-8 Dec. 2012

Firstpage

3

Lastpage

7

Abstract

This paper addresses the issue of hosting multiple clusters of Virtual Machines (i.e., multiple Virtual Clusters) in a single physical cluster system. Multiple Virtual Clusters (VCs) cohabit in the physical cluster, with different VCs serving different types of requests. There are two levels of VC managers in the framework: local manager and global manager. Every VC has its local manager. The framework developed in this paper aims to consume the minimal number of physical nodes (therefore minimized power consumption) to deliver desired QoS(Quality of Service) for all VCs.

Keywords

cloud computing; power aware computing; quality of service; virtual machines; QoS delivery; cloud computing management system; global VC manager; local VC manager; minimized power consumption; multiple virtual cluster; physical cluster system; power-sensitive resource; quality of service; virtual machines; Cloud computing; Clustering algorithms; Exponential distribution; Quality of service; Resource management; Virtual machining; Virtualization; Quality of Service; Virtual Cluster; Virtual Machine; power management;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific

Conference_Location

Guilin

Print_ISBN

978-1-4673-4825-6

Type

conf

DOI

10.1109/APSCC.2012.33

Filename

6478191