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Emerging Paradigms and Practices in Cloud Resource Management

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Autonomic Computing in Cloud Resource Management in Industry 4.0

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Cloud computing is one of the hottest technology paradigms started in 2006 with the advent of access to information and communication technology (ICT) resources as the hosted services via the Internet, and Amazon was deliberated as the pioneer. This paradigm shift started with two popularly known features (pay-per-use and shared ownership) and gathered enormous popularity and adoption in Small- and Medium-scale Enterprises. Today, the world has entered into the industry 4.0 era. The conceptualization journey of cloud started with the idea of utility computing, which was first coined by John McCarthy in 1961. Initially, it was perceived that “computing” will be viewed as a public utility in futuristic technology paradigms. Today, this perception has been transformed into visible reality and exponentially growing in computing, communication, and collaboration of systems. This chapter is a broad overview that outlines the important concerns pertaining to the foundation of cloud computing, core concepts that make the cloud a revolutionary technology, and brief evolution with the responses to why the cloud is so sticky technology. Since resource allocation and management is one of the key objective of cloud computing, therefore, this chapter proposes to cover the effective resource management techniques with efficient allocation or reallocation of resources. The cloud contains a large variety of off-site or onsite shareable resources, and therefore effective and efficient resource management is constantly a critical issue to maintain trust, transparency, and availability of services. From the cloud service providers (CSPs) viewpoint, cloud resources must be distributed in a transparent manner with trust and judicious compliances to customers. Also, the promised quality attributes should be maintained in the cloud computing environment. The organization complains about trust and transparency in billings of cloud services. This chapter covers a case study toward the mitigation of trust and transparency issues in consumed cloud resources and their monitoring and metering management in alignment with cloud governance policies and management frameworks over intercloud and intraclouds. The core concepts, definitions, functions, processes of resource management, and contextualized frameworks are covered with challenges to make this chapter a complete knowledge set.

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Author information

Authors and Affiliations

  1. Computing and Software Engineering, Arba Minch University, Arba Minch, Ethiopia

    Durga Prasad Sharma, Bhupesh Kumar Singh & Amin Tuni Gure

  2. Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Tanupriya Choudhury

Authors
  1. Durga Prasad Sharma
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  2. Bhupesh Kumar Singh
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  3. Amin Tuni Gure
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  4. Tanupriya Choudhury
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Corresponding author

Correspondence to Bhupesh Kumar Singh .

Editor information

Editors and Affiliations

  1. Department of Informatics, School of Computer Science University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Tanupriya Choudhury

  2. Department of Informatics, School of Computer Science University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Bhupesh Kumar Dewangan

  3. Department of Informatics, School of Computer Science University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

    Ravi Tomar

  4. Computing and Software Engineering, Arba Minch University, Arba Minch, Ethiopia

    Bhupesh Kumar Singh

  5. Nanyang Technological University (NTU), Singapore, Singapore

    Teoh Teik Toe

  6. Duy Tan University, Da Nang, Vietnam

    Nguyen Gia Nhu

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Sharma, D.P., Singh, B.K., Gure, A.T., Choudhury, T. (2021). Emerging Paradigms and Practices in Cloud Resource Management. In: Choudhury, T., Dewangan, B.K., Tomar, R., Singh, B.K., Toe, T.T., Nhu, N.G. (eds) Autonomic Computing in Cloud Resource Management in Industry 4.0. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-71756-8_2

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  • DOI: https://doi.org/10.1007/978-3-030-71756-8_2

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  • Print ISBN: 978-3-030-71755-1

  • Online ISBN: 978-3-030-71756-8

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