Dynamic Consolidation of VM Allocation and VM Migration to Optimize Energy Consumption of Cloud Data Centers

Abstract

Including the expanding fame of the cloud model and quick multiplication of cloud frameworks there are expanding concerns about energy utilization and subsequent effect of cloud as a supporter of worldwide CO2 discharges. Until now, little is thought about how to fuse energy utilization and CO2 worries into cloud application. Energy consumption has become an important cost factor for computing resources. In this research article, we proposed an algorithm to VM Allocation and VM migrations in the context of power utilisation in the data centers. This mechanism is to minimize the energy utilization in the cloud computing environment. We validate our results with the help of prediction based faster energy efficient VMs approach and modified Best Fit approach which shows the faster assignments and increase the performance when consumption of the energy is optimised. As well as we also simulate our results in the cloudsim in the multiple numbers of host and virtual machine to reduce the energy consumptions.

Project Planning Application to Juice Production Using PERT/CPM Technique: A Case Study

“…This led to an increased probability for project completion on or before the scheduled time. Kumar et al [7], in a comparative study of time-cost optimization studied the CPM & PERT methods as suitable tools to analyze and reduce project duration. They opined that a reduction in project duration leads to increase in direct cost of the project but that the indirect cost of the project, which is as a result of a compromise between the time and cost of the project, reduces.…”