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      Hybrid lion–GA optimization algorithm-based task scheduling approach in cloud computing

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      Applied Nanoscience
      Springer Science and Business Media LLC

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          Honey bee behavior inspired load balancing of tasks in cloud computing environments

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            Load-balancing algorithms in cloud computing: A survey

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              A Taxonomy and Survey of Cloud Resource Orchestration Techniques

              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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                Author and article information

                Journal
                Applied Nanoscience
                Appl Nanosci
                Springer Science and Business Media LLC
                2190-5509
                2190-5517
                March 2023
                February 07 2022
                March 2023
                : 13
                : 3
                : 2601-2610
                Article
                10.1007/s13204-021-02336-y
                6fc21e6f-cc51-4c86-b86e-39dc8a11d991
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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