Utility based load balancing using firefly algorithm in cloud

Autor:	Manisha T. Tapale, R. H. Goudar, Rudragouda S. Patil, Mahantesh N. Birje
Rok vydání:	2020
Předmět:	Computer science business.industry Distributed computing Computational intelligence Cloud computing Load balancing (computing) computer.software_genre Scheduling (computing) Virtual machine CloudSim Firefly algorithm business computer Resource utilization
Zdroj:	Journal of Data, Information and Management. 2:215-224
ISSN:	2524-6364 2524-6356
Popis:	Scheduling and load balancing are the major challenges faced in cloud scenario due to distributed computing and heterogeneous nature of the infrastructure. Scheduling of tasks to the appropriate virtual machines (VMs) can be done using different mechanisms, but balancing the load is the major problem that occurs due to fluctuation of load, and different VM specifications. This leads to imbalanced resource utilization and performance degradation of the system. To address this issue, the paper proposes a scheme that tries to maximize resource utilization while optimizing the utility (profit) using bargaining protocol, and also balances the load across cloud system by distributing jobs to reliable VMs using firefly algorithm for better performance. The proposed scheme is simulated using CloudSim tool and the results are compared with existing work. It is observed that the proposed scheme performs better than the existing work.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::03c87d2c86d879101ccca0e69cfc7ab5 https://doi.org/10.1007/s42488-020-00022-2 Zobrazit plný text záznamu Full text from SpringerLink