원문정보
초록
영어
Cloud computing has revolutionized the information and communication technology industry by enabling on-demand provisioning of elastic computing resources on a pay-as-you-go basis. However, due to the large-scale popularization and application, cloud data centers consume enormous amounts of electrical energy, which results in high operating costs and carbon dioxide emissions. In this paper, twenty-two algorithms are simulated for testing the trade-off between the applications performance and energy consumption during virtual machine management of cloud data centers in CloudSim simulation toolkit. The goal of these algorithms is to reduce energy consumption under ensuring the performace of cloud applications. A large number of simulation experimental results prove the performance of these twenty-two algorithms respectively.
목차
1. Introduction
2. Related Works
3. Host Overload Detection Algorithms-Detection Strategy
3.1 MPA
3.2 DVFS
3.3 STH
3.4 IQR
3.5 LR
3.6 RLWR
3.7 MAD
4. Virtual Machine Selection Algorithms-Selection Strategy
4.1 MPM
4.2 MNM
4.3 MU
4.4 RCA
5. Simulation Experiments
6. Conclusion
References