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Survey on Secure Scientific Workflow Scheduling in Cloud Environments
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Survey on Secure Scientific Workflow Scheduling in Cloud Environments
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Journal Article
Survey on Secure Scientific Workflow Scheduling in Cloud Environments
2025
Overview
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.
