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Valuable survey on scheduling algorithms in the cloud with various publications

Author

Listed:
  • Nidhi Bansal

    (PhD Student of AKTU (Formerly Uttar Pradesh Technical University))

  • Ajay Kumar Singh

    (Affiliated With AKTU (Formerly Uttar Pradesh Technical University))

Abstract

Computational and comprehensive applications with administrative computing are emerging to be the gateway to development. Cloud computing technology came as a gift in this context to leverage resources as needed. A large amount of intensive or embedded applications are in the market to drive any proposal designed by the authors. Scheduling is a serious issue in cloud computing, which needs to be available with the resources needed for easy computing. To achieve user satisfaction and system efficiency by providing essential services to users, the cloud data center maintains the management of various resources. The paper analyzes several research articles published by various publishing houses along with their respective factors as well as their impact value. Recent trends also explained various approaches to stakeholders related to the issues and challenges that come with task scheduling. Not only one or a few specified factors, scientists should also focus on individual dynamic factors, as unique and ambiguous requests are facing problems during scheduling to perform advanced factors such as security, trust, etc. Ultimately, this gives the field of future research to do more research with more factors.

Suggested Citation

  • Nidhi Bansal & Ajay Kumar Singh, 2022. "Valuable survey on scheduling algorithms in the cloud with various publications," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2132-2150, October.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:5:d:10.1007_s13198-022-01685-3
    DOI: 10.1007/s13198-022-01685-3
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    References listed on IDEAS

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    1. Sanjaya K. Panda & Prasanta K. Jana, 2018. "Normalization-Based Task Scheduling Algorithms for Heterogeneous Multi-Cloud Environment," Information Systems Frontiers, Springer, vol. 20(2), pages 373-399, April.
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