id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_t3ov6m4zkffijleqvdqdvl3z5u	Hadi Khani	Randomized routing of virtual machines in IaaS data centers	2019	14	.pdf	application/pdf	6569	1101	68	machines (VMs) in a large-scale data center consisting a few thousands physical Cloud data centers face highly dynamic workloads varying over time and We suggest an analytical model for cloud computing data centers when the with general distribution sojourn time, the mean power consumption is calculated. will be achieved with randomize assignment of incoming VMs onto PMs. Extensive simulation supports the validity of our analytical model. Keywords Optimization, Cloud computing, Placement, Energy consumption, Service level Microsoft, have huge data centers to provide on demand virtual machines (VMs) to their We calculate probability of SLAV as well as total power consumption in a cloud They obtained the distribution of response time for a cloud data center modeled as an Figure 3 depicts the SLAV probability in data center at steady state. Figure 3 SLAV probability in data center at steady state for various β (A) β = 69 (B) β = 73 (C) β = 80	./cache/work_t3ov6m4zkffijleqvdqdvl3z5u.pdf	./txt/work_t3ov6m4zkffijleqvdqdvl3z5u.txt