Priyansh SrivastavaBhavesh N. GohilDhiren Patel
Cloud computing is an upcoming trend in the field of distributed computing in recent years.In cloud, resources are provided as a service in the form of virtual machines to its clients based on demand, which may result in overutilization or underutilization of servers.Cloud must accommodate changing demands for different types of processing with heterogeneous workloads and time constraints.This can be achieved by making decisions of Virtual Machine (VM) allocation and migration request time at the run time.We have evaluated the Load Management model for cloud computing using CloudSim simulator and compared with the default existing VM-Allocation algorithm.The results depict that the model reduces the number of overutilized hosts significantly and also an improved task execution time, thus increasing the performance overall.
Jayprakash MaltareBalwant Prajapat
Saumendra PattnaikJyoti Prakash MishraBidush Kumar SahooBinod Kumar Pattanayak
Wang LongYuqing LanQingxin Xia
Devi reddy ManasaMGVN Sai KalyaniP. R. HemalathaA. SreejaM M Yamuna Devi