Abstract
In this paper, we focus on the problem of resources allocation scheduling in the context of cloud computing to satisfy the objective of QoS of both cloud providers and consumers. Firstly, we give the formal modeling of cloud resources and description of their performance, as well as applications and descriptions of the component constraints; secondly, we carry out compatibility reasoning of cloud resources and application components, and build up the directed graph between them to represent their structure supportiveness to infer the relationship between scarce resources and popular components; thirdly, the weight of scarce resources and popular components are computed iteratively, and prices of services are adjusted according to their weights to achieve the best match between cloud providers and consumers; lastly the allocation algorithm is presented.
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Yuan, Wh., Wang, H., Fan, Zy. (2014). Research on Optimization of Resources Allocation in Cloud Computing Based on Structure Supportiveness. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_83
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DOI: https://doi.org/10.1007/978-94-007-7618-0_83
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