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A Hybrid RCO for Dual Scheduling of Cloud Service and Computing Resource in Private Cloud

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Configurable Intelligent Optimization Algorithm

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

Abstract

In this chapter, the idea of combining SCOS and OACR into one-time decision in one console is presented, named Dual Scheduling of Cloud Services and Computing Resources (DS-CSCR) [1]. For addressing large-scale DS-CSCR problem, Ranking Chaos Optimization (RCO) is configured. With the consideration of large-scale irregular solution spaces, new adaptive chaos operator is designed to traverse wider spaces within a short time. Besides, dynamic heuristic and ranking selection are hybrid to control the chaos evolution in the proposed algorithm.

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Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing, China

    Yuanjun Laili, Fei Tao & Lin Zhang

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  1. Yuanjun Laili
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  2. Fei Tao
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  3. Lin Zhang
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Correspondence to Yuanjun Laili .

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Laili, Y., Tao, F., Zhang, L. (2015). A Hybrid RCO for Dual Scheduling of Cloud Service and Computing Resource in Private Cloud. In: Configurable Intelligent Optimization Algorithm. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-319-08840-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-08840-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08839-6

  • Online ISBN: 978-3-319-08840-2

  • eBook Packages: EngineeringEngineering (R0)

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