• Rohini S. Patil
• Prathamesh S. Powar

The utilization of virtual machines (VMs) in cloud data centers has become increasingly prevalent for a variety of applications, resulting in the need to allocate these VMs to physical machines (PMs) based on both energy consumption and quality of service (QoS). However, the primary concern of cloud users is their own requirements such as throughput and reliability. This paper proposes an allocation scheme that optimizes user requirements in a cloud data center. The proposed method allocates VMs to PMs based on their usage of hardware resources and the current throughput of PMs in the data center. It also sets CPU utilization thresholds to determine whether migration is necessary, and uses energy consumption before and after allocation to choose which VMs are reallocated. Experimental simulations demonstrate that the proposed method outperforms existing algorithms in terms of total energy consumption, CPU utilization, number of PMs used, and service-level agreement (SLA) violation while ensuring user requirements are met.

Data centers of cloud, allocation of VM, consuming Energy, allocating Task, Throughput

"Cloud Data Center’s Virtual Machine Optimization Based on User Needs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.o637-o643, May-2023, Available :http://www.jetir.org/papers/JETIR2305F82.pdf

"Cloud Data Center’s Virtual Machine Optimization Based on User Needs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppo637-o643, May-2023, Available at : http://www.jetir.org/papers/JETIR2305F82.pdf