Short Run: Heuristic Approaches for Cloud Resource Selection
2016 IEEE 9th International Conference on Cloud Computing (CLOUD)(2016)
摘要
Using cloud computing for IT service provisioning has become a common practice over the last years. Besides basic infrastructure services, more advanced multimedia services with high Quality of Service (QoS) requirements are offered. To fulfill such requirements, appropriate cloud resources must be used for service provisioning. In this paper, we analyze different heuristic approaches to speed up the selection procedure of cloud resources while ensuring a high solution quality at the same time. In the work at hand, we present a Best-of-Breed approach, which is assembled by simple heuristics. Further, we adopt an advanced metaheuristic approach, i.e., tabu search, for the given problem and compare it with the former mentioned approach. With our approaches, we offer the means for a cloud provider to select appropriate resources from a large pool to facilitate QoS-aware multimedia service provisioning.
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关键词
cloud computing,data center,quality of service,multimedia,service,heuristic,tabu search
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