Optimal Parallelization of Single Multi-Segment Real-Time Tasks for Global EDF
- Authors
- Cho, Youngeun; Kim, Do Hyung; Park, Daechul; Lee, Seung Su; Lee, Chang-Gun
- Issue Date
- May-2022
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- optimal parallelization; Parallelization freedom
- Citation
- IEEE Transactions on Computers, v.71, no.5, pp 1077 - 10091
- Pages
- 9015
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Computers
- Volume
- 71
- Number
- 5
- Start Page
- 1077
- End Page
- 10091
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117789
- DOI
- 10.1109/TC.2021.3071730
- ISSN
- 0018-9340
1557-9956
- Abstract
- Targeting global EDF scheduling, this article proposes an optimal algorithm for parallelizing tasks with parallelization freedom. For this, we extend the interference-based sufficient schedulability analysis and derive monotonic increasing properties of both tolerance and interference for the schedulability. Leveraging those properties, we propose a one-way search-based optimal algorithm with polynomial time complexity. We present a formal proof of the optimality of the proposed algorithm. We first address the single-segment task model and then extend to the multi-segment task model. Our extensive experiments through both simulation and actual implementation show that our proposed approach can significantly improve the schedulability. © 1968-2012 IEEE.
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