Energy-aware and trust-driven virtual machine scheduling
节能及信任驱动的虚拟机资源调度

At present existed scheduling algorithms of trust-driven ignore the impact of energy-aware mechanism. This paper proposed an energy-aware and trust-driven virtual machine scheduling TD energy-aware-Opt algorithm adapting to cloud computing data centers. The proposed algorithm matched the task and virtual machine by the trust mechanism between resources and tasks, reached the purpose of ensuring the user task performance and energy-aware in data centers. The algorithms are evaluated with large scale simulation. Simulation results demonstrate TD Energy-aware-Opt algorithm outperforms the trust-driven TD max-min and TD min-min algorithms in terms of the average trust utility, total trust utility and the level of service level agreement violation, while providing less level of energy consumption.