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001-es BibID:	BIBFORM070550
035-os BibID:	(WoS)000428151900012 (Scopus)85047228414
Első szerző:	Mousavi, Seyedmajid (informatika)
Cím:	Dynamic resource allocation using combinatorial methods in Cloud : A case study / Seyed Majid Mousavi, Mohammad Moghadasi, Gabor Fazekas
Dátum:	2017
Megjegyzések:	Utilizing dynamic resource allocation for loadbalancing is considered as an important optimization process oftask scheduling in cloud computing. A poor scheduling policymay overload certain virtual machines while remaining virtualmachines are idle. Accordingly, this paper proposes a hybrid loadbalancing algorithm with combination of Teaching-Learning-Based Optimization (TLBO) and Grey Wolves Optimizationalgorithms, which can well contribute in maximizing thethroughput using well balanced load across virtual machines andovercome the problem of trap into local optimum. The hybridalgorithm is benchmarked on eleven test functions and acomparative study is conducted to verify the results with particleswarm optimization (PSO), Biogeography-based optimization(BBO), and GWO. To evaluate the performance of the proposedalgorithm for load balancing, the hybrid algorithm is simulatedand the experimental results are presented.
ISBN:	978-1-5386-1264-4
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet cloud computing resource allocation optimization
Megjelenés:	8th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2017 : Proceedings : September 11-14, 2017 Debrecen, Hungary. - p. 73-78. -
További szerzők:	Moghadasi, Mohammad (1985-) (informatikus) Fazekas Gábor (1952-) (informatikus, matematikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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