Publications

The emergence of distributed clouds opens up new research challenges for service deployment. Composite services consist of multiple components, potentially located in different geographical locations, which need to be interconnected and invoked in the correct order according to the overall service work-flow. The placement of composite services over distributed cloud node locations raises new challenges for efficient deployment and management. In this paper, we design exact models of the composite service placement problems using Mixed Integer Linear Program (MILP), and compare these to solutio ...

• Keywords:   Cloud computing Measurement Quality of service Rendering (computer graphics) Servers Streaming media Utility function composite service network function virtualization optimization. service placement

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