Adaptive Management of a Utility Computing

Author

Jiang, Ying ; Meng, Dan ; Liang, Yi ; Liu, Danjun ; Zhan, Jianfeng

Author_Institution

Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing

fYear

2005

fDate

Sept. 2005

Firstpage

1

Lastpage

2

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

Keywords

Internet; feedback; file servers; resource allocation; QoS performance; SLA event-driven global resource manager; Web-based application; adaptive application management system; feedback control theory; server resource manager; utility computing; Adaptive control; Computers; Control systems; Feedback control; High performance computing; Open loop systems; Programmable control; Resource management; Technology management; Web server;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster Computing, 2005. IEEE International

Conference_Location

Burlington, MA

ISSN

1552-5244

Print_ISBN

0-7803-9486-0

Electronic_ISBN

1552-5244

Type

conf

DOI

10.1109/CLUSTR.2005.347012

Filename

4154140