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A Study of Resource Management and Security-Based Techniques in Autonomic Cloud Computing

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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))

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Abstract

The predominant goal of autonomic computing is to manage the computer networks and software systems using some adaptive technologies to implement the services efficiently. Such a computing model becomes very useful in the networking scenarios, where a variety of services are offered to a wide range of audience with different user specifications such as cloud. Autonomic cloud computing (ACC) allows the cloud provider to manage the cloud services intelligently in an autonomous way with little or no human intervention. But, from implementation point of view, ACC faces numerous challenges such as availability, reliability, integration, security, interoperability, and resource management. Based on the literature study, it has been found that management and availability of cloud computing resources are the two major challenges. This chapter firstly offers a review of the resource management (provisioning and scheduling) techniques in an ACC environment. Secondly, the security-based methods for resource management to achieve the availability are discussed. In addition to this, an analysis of the relevant solutions in each category is also provided.

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Author information

Authors and Affiliations

  1. CSE Group, IIIT Sri City, Chittoor, AP, India

    Neha Agrawal

  2. Department of CSE, DSPM-IIIT Naya Raipur, Chhattisgarh, India

    Rohit Kumar

  3. Mathematics Division, Chandigarh University, Chandigarh, India

    Pankaj Kumar Mishra

Authors
  1. Neha Agrawal
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  2. Rohit Kumar
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  3. Pankaj Kumar Mishra
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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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Agrawal, N., Kumar, R., Mishra, P.K. (2021). A Study of Resource Management and Security-Based Techniques in Autonomic Cloud Computing. 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_20

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  • DOI: https://doi.org/10.1007/978-3-030-71756-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71755-1

  • Online ISBN: 978-3-030-71756-8

  • eBook Packages: EngineeringEngineering (R0)

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