QoS-oriented resource allocation and scheduling of multiple composite Web services in a hybrid cloud using a random-key genetic algorithm


Autoria(s): Ai, Lifeng; Tang, Maolin; Fidge, Colin J.
Data(s)

01/11/2010

Resumo

In cloud computing resource allocation and scheduling of multiple composite web services is an important challenge. This is especially so in a hybrid cloud where there may be some free resources available from private clouds but some fee-paying resources from public clouds. Meeting this challenge involves two classical computational problems. One is assigning resources to each of the tasks in the composite web service. The other is scheduling the allocated resources when each resource may be used by more than one task and may be needed at different points of time. In addition, we must consider Quality-of-Service issues, such as execution time and running costs. Existing approaches to resource allocation and scheduling in public clouds and grid computing are not applicable to this new problem. This paper presents a random-key genetic algorithm that solves new resource allocation and scheduling problem. Experimental results demonstrate the effectiveness and scalability of the algorithm.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/40007/

Publicador

Australian National University

Relação

http://eprints.qut.edu.au/40007/1/c40007.pdf

https://cs.anu.edu.au/ojs/index.php/ajiips

Ai, Lifeng, Tang, Maolin, & Fidge, Colin J. (2010) QoS-oriented resource allocation and scheduling of multiple composite Web services in a hybrid cloud using a random-key genetic algorithm. Australian Journal of Intelligent Information Processing Systems, 12(1), pp. 29-34.

Direitos

Copyright 2010 [please consult the authors]

Fonte

Computer Science; Faculty of Science and Technology

Palavras-Chave #080600 INFORMATION SYSTEMS #Cloud computing #Resource allocation #scheduling #genetic algorithm
Tipo

Journal Article