Task Scheduling in Geo-Distributed Computing: A Survey Article Swipe
Y. Wu
,
Shanjiang Tang
,
Ce Yu
,
Yang Bin
,
Chao Sun
,
Jian Xiao
,
Hutong Wu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.15504
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.15504
Geo-distributed computing, a paradigm that assigns computational tasks to globally distributed nodes, has emerged as a promising approach in cloud computing, edge computing, cloud-edge computing and supercomputer computing (HPC). It enables low-latency services, ensures data locality, and handles large-scale applications. As global computing capacity and task demands increase rapidly, scheduling tasks for efficient execution in geo-distributed computing systems has become an increasingly critical research challenge. It arises from the inherent characteristics of geographic distribution, including heterogeneous network conditions, region-specific resource pricing, and varying computational capabilities across locations. Researchers have developed diverse task scheduling methods tailored to geo-distributed scenarios, aiming to achieve objectives such as performance enhancement, fairness assurance, and fault-tolerance improvement. This survey provides a comprehensive and systematic review of task scheduling techniques across four major distributed computing environments, with an in-depth analysis of these approaches based on their core scheduling objectives. Through our analysis, we identify key research challenges and outline promising directions for advancing task scheduling in geo-distributed computing.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2501.15504
- https://arxiv.org/pdf/2501.15504
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406880663
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406880663Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2501.15504Digital Object Identifier
- Title
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Task Scheduling in Geo-Distributed Computing: A SurveyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-26Full publication date if available
- Authors
-
Y. Wu, Shanjiang Tang, Ce Yu, Yang Bin, Chao Sun, Jian Xiao, Hutong WuList of authors in order
- Landing page
-
https://arxiv.org/abs/2501.15504Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2501.15504Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2501.15504Direct OA link when available
- Concepts
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Computer science, Scheduling (production processes), Task (project management), Distributed computing, Operations management, Economics, ManagementTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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