Virtual machine schedulers for cloud computing
Kalpana Ettikyala, Yellasiri Vijayalata, M. Chandra Mohan · 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC) · 2017
To process the cloud services, data centers consume large amounts of electrical power which results in huge amount of carbondioxide emissions. Hence there is need for development of energy efficient management techniques. In this concept, scheduling of incoming tasks to cloud should be scheduled on to less number of physical servers which improves the resource utilization and reduces the power consumption. Scheduler should also efficientlymanage the load between resources and achieve minimum execution time. In this paper, weanalyzedvirtual machine scheduler space shared, virtual machine scheduler time shared and virtual machine scheduler time shared over subscription and tested them using CloudSim toolkit to examine their behavior. The results show virtual machine scheduler time shared effectively utilizes resources by sharing MIPS among virtual machines of a server and thus reduces number of powered on servers in a data center, which also reduces the power consumption than virtual machine scheduler space shared and virtual machine scheduler time shared over subscription approaches.