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      A Taxonomy and Survey of Cloud Resource Orchestration Techniques

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          Abstract

          Cloud services and applications prove indispensable amid today’s modern utility-based computing. The cloud has displayed a disruptive and growing impact on everyday computing tasks. However, facilitating the orchestration of cloud resources to build such cloud services and applications is yet to unleash its entire magnitude of power. Accordingly, it is paramount to devise a unified and comprehensive analysis framework to accelerate fundamental understanding of cloud resource orchestration in terms of concepts, paradigms, languages, models, and tools. This framework is essential to empower effective research, comprehension, comparison, and selection of cloud resource orchestration models, languages, platforms, and tools. This article provides such a comprehensive framework while analyzing the relevant state of the art in cloud resource orchestration from a novel and holistic viewpoint.

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          A view of cloud computing

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            Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

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              Application of fuzzy algorithms for control of simple dynamic plant

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                ACM Computing Surveys
                ACM Comput. Surv.
                Association for Computing Machinery (ACM)
                0360-0300
                1557-7341
                March 31 2018
                May 10 2017
                March 31 2018
                : 50
                : 2
                : 1-41
                Affiliations
                [1 ]University of New South Wales, Sydney NSW, Australia
                [2 ]Macquarie University, Sydney, NSW, Australia
                [3 ]University of Newcastle, United Kingdom
                Article
                10.1145/3054177
                6c48fae0-b969-4aa0-91f1-a5a171372e68
                © 2018

                http://www.acm.org/publications/policies/copyright_policy#Background

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