Open AccessA Resource Trusted Model Based on Game Theory in Cloud Computing
Author(s) -
Qinghong Shang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032192
Subject(s) - cloud computing , computer science , scheduling (production processes) , distributed computing , resource (disambiguation) , game theory , resource allocation , reliability (semiconductor) , trusted computing , computer security , computer network , operating system , engineering , operations management , power (physics) , physics , quantum mechanics , economics , microeconomics
With the development of cloud computing, task scheduling has been an important problem in cloud computing. We should consider not only the performance of resources, but also the reliability of resources and users for resource allocation and scheduling. We proposed a trusted model based on game theory to evaluate the trusted scores of cloud participants. Simulation results show cloud users and resource tend to send feedback information to agents in order to increase their scores. Also trusted score is an important factor to affect the decision of resource allocation. Results show our model improved resource utilization and load balance.