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Semi-Federated Sche...
Semi-Federated Scheduling of Parallel Real-Time Tasks on Multiprocessors
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- Jiang, Xu (author)
- Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China.;Beihang Univ, Sch Comp Sci & Engn, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China.
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- Guan, Nan (author)
- Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China.
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- Long, Xiang (author)
- Beihang Univ, Sch Comp Sci & Engn, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China.
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- Yi, Wang (author)
- Uppsala universitet,Datorteknik,Northeastern Univ, Shenyang, Liaoning, Peoples R China.
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Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China;Beihang Univ, Sch Comp Sci & Engn, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China. Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China. (creator_code:org_t)
- IEEE, 2017
- 2017
- English.
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In: 2017 IEEE Real-Time Systems Symposium (RTSS). - : IEEE. - 9781538614143 ; , s. 80-91
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Federated scheduling is a promising approach to schedule parallel real-time tasks on multi-cores, where each heavy task exclusively executes on a number of dedicated processors, while light tasks are treated as sequential sporadic tasks and share the remaining processors. However, federated scheduling suffers resource waste since a heavy task with processing capacity requirement x + is an element of (where x is an integer and 0 < is an element of < 1) needs x+ 1 dedicated processors. In the extreme case, almost half of the processing capacity is wasted. In this paper we propose the semi-federate scheduling approach, which only grants x dedicated processors to a heavy task with processing capacity requirement x+ is an element of, and schedules the remaining is an element of part together with light tasks on shared processors. Experiments with randomly generated task sets show the semi-federated scheduling approach significantly outperforms not only federated scheduling, but also all existing approaches for scheduling parallel real-time tasks on multi-cores.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- real-time-scheduling
- parallel-tasks
- DAG
- federated-scheduling
Publication and Content Type
- ref (subject category)
- kon (subject category)
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