원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.8
2016.08
pp.193-200
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Cloud computing is regarded as a new computing mode in recent years, and has been widely applied. Its task scheduling affects the performance of the cloud computing system directly, and people pay more and more attention to the security problems of cloud computing. The paper introduces the trust in scheduling algorithm, improves and fuses the PSO and SA in order to make them complementary. By applying that to the task scheduling strategy of cloud computing, we can get a higher scheduling efficiency. We implement the proposed algorithm and verify its high efficiency through the simulation platform (CloudSim).
목차
Abstract
1. Introduction
2. Problem Description
2.1. Cloud Task Scheduling Model
2.2. The Trust Mechanism
3. The PSO-SA Algorithm
3.1. Particle Swarm Optimization Algorithm
3.2. Second-Order Headings Simulated Annealing Algorithm
3.3. The Fusion of PSO and SA Algorithm
4. The Experimental Simulation and Result Analysis
5. Conclusion
Acknowledgements
References
1. Introduction
2. Problem Description
2.1. Cloud Task Scheduling Model
2.2. The Trust Mechanism
3. The PSO-SA Algorithm
3.1. Particle Swarm Optimization Algorithm
3.2. Second-Order Headings Simulated Annealing Algorithm
3.3. The Fusion of PSO and SA Algorithm
4. The Experimental Simulation and Result Analysis
5. Conclusion
Acknowledgements
References
저자정보
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자료제공 : 네이버학술정보