#6376. A novel PageRank-based fault handling strategy for workflow scheduling in cloud data centers

September 2026publication date
Proposal available till 22-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Sociology and Political Science;
Organizational Behavior and Human Resource Management;
Information Systems;
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Abstract:
Unexpected faults result in unscheduled cloud outage, which negatively affects the completion of workflow tasks in the cloud. This paper presents a novel PageRank-based fault handling strategy to rescue workflow tasks at the faulty data center. The proposed approach uses a holistic view and considers the task attributes, the timeline scenario, and the overall cloud performance. A priority assignment system is developed based on the modified PageRank algorithm to prioritise workflow tasks. A min-max normalization method is applied to select the target data center and match the timeline at this data center. Additionally, a dynamic PageRank-constrained task scheduling algorithm is proposed to generate the task scheduling solution.
Keywords:
Cloud performance; Dependent tasks; Fault handling; PageRank algorithm; Reactive fault tolerance; Task attributes; Task scheduling; Timeline allocation; Workflow scheduling

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