Adaptive Dimensioning of Cloud Data Centers

Author

Tian, Wenhong

Author_Institution

Sch. of Comput. Sci. & Software Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

12-14 Dec. 2009

Firstpage

5

Lastpage

10

Abstract

Cloud data centers (CDCs) provide key infrastructure for cloud computing. Allocating computing resources is very important for the CDCs to function efficiently. Current allocation of resources in CDCs is mostly dedicated and static. However, workloads for cloud applications are highly variable which cause poor application performance, poor resource utilization or both. In this paper, adaptive dimensioning methods for CDCs are developed so that right amount of computing resources are allocated for variable workloads to meet quality of service requirements.

Keywords

Internet; computer centres; quality of service; resource allocation; adaptive dimensioning method; cloud computing; cloud data centers; computing resource allocation; quality of service requirements; Cloud computing; Computer architecture; Computer science; Europe; Hardware; Network servers; North America; Resource management; Switches; Web server; Adaptive Dimensioning Methods; Cloud Data Centers (CDCs); Cloud computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3929-4

Electronic_ISBN

978-1-4244-5421-1

Type

conf

DOI

10.1109/DASC.2009.58

Filename

5380440