Optimization of energy consumption in cloud computing datacenters

Cloud computing has emerged as a practical paradigm for providing IT resources, infrastructure and services. This led to the establishment of datacenters that have substantial energy demands their operation. work investigates optimization consumption in cloud datacenter using efficient allocation tasks resources. The seeks develop formal models minimize computational resources evaluates use existing solvers testing these models. Integer linear programming (ILP) techniques are used model scheduling problem. objective is total power consumed by active idle cores servers’ CPUs while meeting set constraints. Next, we carry out detailed performance comparison between selected Generic ILP 0-1 Boolean satisfiability based solving formulations. Simulation results indicate some cases developed saved up 38% when compared common such round robin. Furthermore, also showed generic had superior SAT-based especially number grow size.