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Workload Schedulers -- Genesis, Algorithms and Differences

Published: November 13, 2025 | arXiv ID: 2511.10258v1

By: Leszek Sliwko, Vladimir Getov

Potential Business Impact:

Organizes computer tasks to run faster.

Business Areas:
Scheduling Information Technology, Software

This paper presents a novel approach to categorization of modern workload schedulers. We provide descriptions of three classes of schedulers: Operating Systems Process Schedulers, Cluster Systems Jobs Schedulers and Big Data Schedulers. We describe their evolution from early adoptions to modern implementations, considering both the use and features of algorithms. In summary, we discuss differences between all presented classes of schedulers and discuss their chronological development. In conclusion we highlight similarities in the focus of scheduling strategies design, applicable to both local and distributed systems.

Country of Origin
🇬🇧 United Kingdom

Page Count
16 pages

Category
Computer Science:
Distributed, Parallel, and Cluster Computing