QoS-Oriented Resource Allocation and Scheduling of Multiple Composite Web Services in a Hybrid Cloud Using a Random-Key Genetic Algorithm

Provided by: Queensland Treasury Corporation
Topic: Cloud
Format: PDF
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, the authors must consider Quality-of-Service issues, such as execution time and running costs.

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