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001-es BibID:	bibEBI00026089
035-os BibID:	(WOS)000418178100005 (Scopus)85029788656
Első szerző:	Mousavi, Seyedmajid (informatika)
Cím:	Dynamic resource allocation in cloud computing / Seyedmajid Mousavi, Amir Mosavi, Annamaria R. Várkonyi-Kóczy, Gabor Fazekas
Dátum:	2017
ISSN:	1785-8860
Megjegyzések:	Utilizing dynamic resource allocation for load balancing is considered as an important optimization process in cloud computing. In order to achieve maximum resource efficiency and scalability in a speedy manner this process is concerned with multiple objectives for an effective distribution of loads among virtual machines. In this realm, exploring new algorithms, as well as development of novel algorithms, is highly desired for technological advancement and continued progress in resource allocation application in cloud computing. Accordingly, this paper explores the application of two relatively new optimization algorithms and further proposes a hybrid algorithm for load balancing which can contribute well in maximizing the throughput of the cloud provider's network. The proposed algorithm is a hybrid of teaching - learning - based optimization algorithm (TLBO) and grey wolves optimization algorithm (GW). The hybrid algorithm performs more efficiently than utilizing every single one of these algorithms. Furthermore, it well balances the priorities and effectively considers load balancing based on time, cost, and avoidance of local optimum traps, which consequently leads to minimal amount of waiting time. To evaluate the effectiveness of the proposed algorithm, a comparison with the TLBO and GW algorithms is conducted and the experim ental results are presented.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk cloud computing resource allocation load balancing
Megjelenés:	Acta polytechnica Hungarica. - 14 : 4 (2017), p. 83-104. -
További szerzők:	Mosavi, Amir Várkonyi-Kóczy Annamária Fazekas Gábor (1952-) (informatikus, matematikus)
Pályázati támogatás:	OTKA 105846 OTKA
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI Szerző áltla megadott URL
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