• Shruthi.P.S.
• Dr.D.R Umesh

Now-a-days an increasing demand for internet service as reached its extremities such that productive resource allocation and utilization had the knock the minds of cloud service providers. However many works have been put forth the queuing models for servicing the request, in our work we have considered M/M/c/K(c servers and queue K to hold client request) for resource allocation and appended the Dynamic MultiSwarm-Particle Swarm Optimization(DMS-PSO).Applying DMS-PSO, waiting time servers is collected to find local best and regrouped based on it, finally least global best swarm(least waiting time swarm) is selected and the request is sent to it continuously till the servers become busy. By collaborating M/M/c/K and DMS-PSO over head on distribution calculation is reduced which leads pavement for efficient system utilization.

Cloud datacenter, queuing model, Dynamic MultiSwarm-Particle Swarm Optimization, waiting time and power efficiency.

"Evaluation Of System Utilization In Data Center By Integrating Dms-Pso In Queuing Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.377-382, May-2019, Available :http://www.jetir.org/papers/JETIR1905D54.pdf

"Evaluation Of System Utilization In Data Center By Integrating Dms-Pso In Queuing Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp377-382, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D54.pdf