Resource allocation and scheduling of multiple composite web services in cloud computing using cooperative coevolution genetic algorithm
Ai, Lifeng, Tang, Maolin, & Fidge, Colin (2011) Resource allocation and scheduling of multiple composite web services in cloud computing using cooperative coevolution genetic algorithm. Lecture Notes in Computer Science, 7063, pp. 258-267.
In cloud computing, resource allocation and scheduling of multiple composite web services is an important and challenging problem. This is especially so in a hybrid cloud where there may be some low-cost resources available from private clouds and some high-cost 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 services; the other is scheduling the allocated resources when each resource may be used by multiple tasks at different points of time. In addition, Quality-of-Service (QoS) issues, such as execution time and running costs, must be considered in the resource allocation and scheduling problem. Here we present a Cooperative Coevolutionary Genetic Algorithm (CCGA) to solve the deadline-constrained resource allocation and scheduling problem for multiple composite web services. Experimental results show that our CCGA is both efficient and scalable.
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|Item Type:||Journal Article|
|Additional Information:||Paper presented in International Conference on Neural Information Processing (ICONIP 2011), Majesty Plaza, Shanghai, China, 13-17 September 2011|
|Keywords:||Cooperative Co-evolutionary Genetic Algorithm, Cloud Computing, Resource allocation and scheduling|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)|
|Divisions:||Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||Copyright 2011 Springer|
|Deposited On:||28 Aug 2011 22:15|
|Last Modified:||20 Jul 2016 04:30|
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