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Cited 4 time in webofscience Cited 6 time in scopus
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DATA: Dependency-Aware Task Allocation Scheme in Distributed Edge Clouds

Authors
Lee, JaewookKo, HaneulKim, JoonwooPack, Sangheon
Issue Date
12월-2020
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Task analysis; Cloud computing; Containers; Resource management; Optimization; Mobile handsets; Heuristic algorithms; Distributed edge cloud; heuristic algorithm; mixed integer nonlinear program (MINLP); optimization
Citation
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.16, no.12, pp.7782 - 7790
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume
16
Number
12
Start Page
7782
End Page
7790
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/51405
DOI
10.1109/TII.2020.2990674
ISSN
1551-3203
Abstract
To overcome the limitation of standalone edge cloud in terms of computing power and resource, a concept of distributed edge cloud has been introduced, where application tasks are distributed to multiple edge clouds for collaborative processing. To maximize the effectiveness of the distributed edge cloud, we formulate an optimization problem of task allocation to minimize the application completion time. To mitigate high complexity overhead in the formulated problem, we devise a low-complexity heuristic algorithm called dependency-aware task allocation (DATA) algorithm. Evaluation results demonstrate that DATA can reduce the application completion time up to by 15%-32% compared to conventional dependency-unaware task allocation schemes.
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Pack, Sang heon
공과대학 (전기전자공학부)
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