Virtual Machine Allocation Policy for Load Balancing

Autor: Farheen Siddiqui, M. Shabina Ghafir, Sameena Naaz, Afshar Alam
Rok vydání: 2021
Předmět:
Zdroj: Journal of Physics: Conference Series. 2070:012129
ISSN: 1742-6596
1742-6588
DOI: 10.1088/1742-6596/2070/1/012129
Popis: This paper focuses on the VM allocation policies for load balancing in cloud computing environment. Intermittent nature of balancing the load scheme into the cloud computing becomes a challenging job and it also affects the load balancing of the cloud. The suggested proposed model generates and step-up the VM allocation policies but also transforms the generated cloud workload. Furthermore, to improve the workload distribution of workload and stability of the overall cloud computing environment the load balancing algorithm is most important for load balancing. The work of load balancing is equally effective in the cloud computing environment and it is most essential one for load balancing algorithms to take care of all issues at the time of the work load. The researchers studied different algorithms to solve the problems of load balancing that generate problems during the distribution of workloads. The analysis VM allocation policies are tested on CloudSim environment and the results, and discussion is about to which one VM allocation policy is superior.
Databáze: OpenAIRE