A Task Affinity Scheduling Framework Based on Multidimensional Resource Fingerprints

Date:2025-08-26 clicks:

Journal:IEEE Transactions on Network and Service Management

Funded by:福建省自然科学基金

Abstract:This study presents a task affinity scheduling framework that leverages multidimensional resource fingerprints to optimize resource management in cloud computing. The framework evaluates task affinity through complementarity and competitiveness analyses by constructing dynamic fingerprints from high-dimensional resource usage data. A novel algorithm captures temporal resource-usage patterns, enabling an adaptive scheduling strategy to improve resource utilization and performance. Experiments with real-world cloud traces demonstrated superior resource utilization, reduced task completion times, and improved quality of service under high-load conditions compared to existing methods. This approach offers a scalable solution for fine-grained resource management in a dynamic cloud environment.

Note:早期访问版本

Indexed by:Journal paper

Translation or Not:no

Date of Publication:2025-08-14

Included Journals:SCI

First Author:Chunmao Jiang

Co-author:Xuan Wang

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