Genetic-based two granularity ordering methods for multiple workflow scheduling

Genetic-based two granularity ordering methods for multiple workflow scheduling

In cloud computing, multiple workflow scheduling is important to optimize resource allocation and utilization for concurrent execution of diverse workflows across different applications. While previous research has focused on clustering-based resource allocation to reduce communication overheads by...

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Bibliographic Details
Main Authors: Li, Feng, Tan, Wen Jun, Seok, Moon Gi, Cai, Wentong
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Cloud computing
Task ordering
Online Access:https://hdl.handle.net/10356/178504

Internet

https://hdl.handle.net/10356/178504

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