Peer Review #2 of "Randomized routing of virtual machines in IaaS data centers (v0.2)"
2019
The cloud computing technology has been a change player in recent years.The cloud computing providers promise cost-effective and on demand resource computing for their users.The cloud computing providers are running the workloads of users as virtual machines in a large scale data center consisting a few thousands physical servers.The cloud data centers face highly dynamic, varying over time and many short tasks that demand quick resource management decisions.These data centers are large scale and the behavior of workload is unpredictable.The incoming virtual machine must be assigned onto the proper physical machine in order to keep a balance between power consumption and quality of service.The scale and agility of cloud computing data centers are unprecedented so the previous approaches are fruitless.We suggest an analytical model for cloud computing data center when the number of physical machines in the data center is large.In particular, we focus on the assignment of virtual machine onto physical machines regardless of their current load.For exponential virtual machine arrival with general distribution sojourn time, the mean power consumption is calculated.Then we show the minimum power consumption under quality of service constraint will be achieved with randomize assignment of incoming virtual machines onto physical machines.Extensive simulation supports the validity of our analytical model.