Abstract | ||
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Hybrid clouds, which comprise nodes both in a private cloud and in a public cloud, have emerged as a new model for service providers to deploy their services. However, given Quality-of-Service requirements for each service, the question of on how many private and public nodes to deploy the services in the most cost-effective way remains to be answered. The challenges faced in the hybrid cloud stem from the disparate time-varying requests across multiple services, the different cost structures of both types of nodes, and the performance characteristics of nodes. In this paper, we propose a novel algorithm to dynamically optimize the allocation of private and public nodes across services, with special focus on the performance-cost tradeoff between private and public nodes. The algorithm is based on an analytical cost-performance framework for service deployment in hybrid clouds. Our evaluation results based on trace-driven simulation show that our proposed node allocation algorithm can effectively achieve a good cost-performance ratio, compared to the deployment of purely public and private cloud. |
Year | DOI | Venue |
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2012 | 10.1109/SOCA.2012.6449447 | SOCA |
Keywords | Field | DocType |
cloud computing,optimisation,quality of service,service-oriented architecture,analytical cost-performance framework,cost structures,cost-driven service provisioning,cost-performance ratio,disparate time-varying requests,dynamic optimization,hybrid clouds,private cloud,private node allocation,public cloud,public node allocation,quality-of-service requirements,service providers,trace-driven simulation,Service provisioning,cloud computing,cost model,dynamic node allocation,hybrid cloud,optimization algorithm,simulation | Resource management,Service provisioning,Software deployment,Computer science,Computer network,Quality of service,Service provider,Throughput,Service-oriented architecture,Cloud computing,Distributed computing | Conference |
Citations | PageRank | References |
13 | 0.61 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Mathias Bjorkqvist | 1 | 96 | 8.85 |
Lydia Y. Chen | 2 | 432 | 52.24 |
Walter Binder | 3 | 1077 | 92.58 |