Abstract
Managing services in an intercloud environment is challenging since it requires large scale orchestration between users, service providers and heterogeneous cloud service providers. Each stakeholder in the intercloud services ecosystem needs to optimize their cost to performance ratio which is not trivial. This research paper proposes a dynamic service ranking and selection mechanism which allows users fine-grained control over service consumption, while maximizing service provider revenues. The mechanism is based on service performance analytics and provides seamless orchestration between all stakeholders. Initial experimental results establish the viability of the proposed mechanism.
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CITATION STYLE
Kapoor, L., Bawa, S., & Gupta, A. (2014). A novel mechanism for dynamic optimization of intercloud services. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8842, pp. 377–388). Springer Verlag. https://doi.org/10.1007/978-3-662-45550-0_38
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