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Survey on Secure Scientific Workflow Scheduling in Cloud Environments

Author

Listed:
  • Hadeel Amjed Saeed

    (College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq)

  • Sufyan T. Faraj Al-Janabi

    (College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq)

  • Esam Taha Yassen

    (College of Computer Science and Information Technology, University of Anbar, Ramadi 31001, Iraq)

  • Omar A. Aldhaibani

    (School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool L3 5AH, UK)

Abstract

In cloud computing environments, the representation and management of data through workflows are crucial to ensuring efficient processing. This paper focuses on securing scientific workflow scheduling, which involves executing complex data-processing tasks with specific dependencies. The security of intermediate data, often transmitted between virtual machines during workflow execution, is critical for maintaining the integrity and confidentiality of scientific workflows. This review analyzes methods for securing scientific workflow scheduling in cloud environments, emphasizing the application of security principles such as confidentiality, authentication, and integrity. Various scheduling algorithms, including heuristics and metaheuristics, are examined for their effectiveness in balancing security with constraints like execution time and cost.

Suggested Citation

  • Hadeel Amjed Saeed & Sufyan T. Faraj Al-Janabi & Esam Taha Yassen & Omar A. Aldhaibani, 2025. "Survey on Secure Scientific Workflow Scheduling in Cloud Environments," Future Internet, MDPI, vol. 17(2), pages 1-29, January.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:2:p:51-:d:1572370
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    References listed on IDEAS

    as
    1. Zheyi Chen & Xu Zhao & Bing Lin, 2020. "Fuzzy Theory-Based Data Placement for Scientific Workflows in Hybrid Cloud Environments," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-13, August.
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