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Abstract:
Task scheduling is an important issue in Cloud Computing. Cloud Computing often covers a range of different kinds of nodes, which offers a complex environment. To handle this complexity, as while as to process task scheduling in different scenarios of Cloud Computing, many algorithms have been studied. In this paper, we propose a game theory-based algorithm to the Cloud Computing task scheduling problem on the principle of minimizing the cost in the Cloud Computing. The Cloud Computing task scheduling problem is treated as a noncooperative game. The experiment results demonstrate that the game-based algorithm has a desirable capability to reduce the cost in the Cloud Computing.
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Source :
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN: 1532-0626
Year: 2019
Issue: 7
Volume: 32
2 . 0 0 0
JCR@2022
ESI Discipline: COMPUTER SCIENCE;
ESI HC Threshold:147
JCR Journal Grade:3
Cited Count:
WoS CC Cited Count: 2
SCOPUS Cited Count: 1
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 10
Affiliated Colleges: