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Cloud Computing Scheduling Algorithm Based on QoS Constraints

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Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022) (ICATCI 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 170))

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Abstract

Task scheduling and resource allocation are two important core technologies in cloud computing. The business capabilities of cloud computing mainly focus on the services brought to end users. Depending on the virtualization technology it adopts, resource allocation will be parallelized with task scheduling differently than before. Since cloud computing is user-centric, service-oriented, and commercialized, the main workflow programming algorithms today are QoS-based programming algorithms, many of which are based on programming strategies in the original grid environment, but due to the cloud environment due to the unique characteristics of workflow, the original programming strategy may have problems in execution efficiency. This paper studies the QoS-constrained cloud computing scheduling algorithm, understands the relevant theoretical knowledge of cloud computing scheduling algorithms on the basis of literature, and then designs a QoS-constrained cloud computing scheduling algorithm, and tests the designed algorithm, through the test results, it is concluded that the algorithm in this paper can make the users in the system get better service quality assurance, and improve the user’s service satisfaction as a whole.

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Author information

Authors and Affiliations

  1. Shanghai Technical Institute of Electronics & Information, Shanghai, China

    Chunping Wang

  2. GLA University, Uttar Pradesh, India

    Mohammed K. Kumar

Authors
  1. Chunping Wang
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  2. Mohammed K. Kumar
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Corresponding author

Correspondence to Chunping Wang .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. School of Computer Engineering and Sciences, Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Wang, C., Kumar, M.K. (2023). Cloud Computing Scheduling Algorithm Based on QoS Constraints. In: Abawajy, J.H., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022). ICATCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-031-29097-8_38

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