چکیده مقاله
Consolidating the VMs is an effective way to reduce energy consumption and costs and to maximize resource utilization while providing negotiable Quality Of Services QOS This can be achieved by dynamic migration and switching the idle physical machines to sleep or hibernate this power switching status mode should not cause SLA violation as another important metric in cloud computing environments So there should be a trade off between minimizing the energy consumption and SLA violation In this paper we have presented a hybrid approach using Cuckoo Optimization Algorithm COA for detecting over utilized hosts and a Tabu Search TS algorithm to select the best node for migration We ve also used usual Minimum Migration Time MMT for VM selection policy We used COA for its convergence speed and good performance in solving bin packing problems And TS because of running away from local optima and detecting the best host node The simulation result which is generated by CloudSim simulator, demonstrates that our approach overtakes other famous energy aware algorithms and other cuckoo approaches in power consumption
کلیدواژهها
نویسندگان
Arman karimi
Department of Computer Engineering , Islamic Azad University, Najafabad Branch , Esfahan, Iran
Kamran Zamanifar
Department of Computer Engineering, University of Esfahan, Esfahan, Iran
شیوه ارجاع
karimi, Arman and Zamanifar, Kamran,1396,A hybrid energy efficient approach using Cuckoo Optimization and Tabu Search algorithms in cloud computing,Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge,Tehran
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی19 بهمن 1396 · تهران