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Machine-Learning Based Approaches for Cloud Brokering

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Cloud Broker and Cloudlet for Workflow Scheduling

Part of the book series: KAIST Research Series ((KAISTRS))

Abstract

Machine learning is a field of computer science specifically aimed at a challenging goal, quite clearly illustrated by Samuel in 1959, stating that machine learning is that discipline that “gives computers the ability to learn without being explicitly programmed” [1].

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, KAIST, Daejeon, Korea (Republic of)

    Chan-Hyun Youn

  2. Embedded and Pervasive Computing (EPIC) Lab, Huazhong University of Science and Technology, Wuhan, Hubei, China

    Min Chen

  3. Area della Ricerca di Pisa, ISTI-CNR, Pisa, Italy

    Patrizio Dazzi

Authors
  1. Chan-Hyun Youn
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  2. Min Chen
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  3. Patrizio Dazzi
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Correspondence to Chan-Hyun Youn .

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Youn, CH., Chen, M., Dazzi, P. (2017). Machine-Learning Based Approaches for Cloud Brokering. In: Cloud Broker and Cloudlet for Workflow Scheduling. KAIST Research Series. Springer, Singapore. https://doi.org/10.1007/978-981-10-5071-8_8

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  • DOI: https://doi.org/10.1007/978-981-10-5071-8_8

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