Green Cloud Computing, to reduce power consumption

reduce the energy consumption of the cloud resources, consider different users’ priorities and optimize the makespan under the deadlines constraints. Further, the proposed algorithm simulated using the CloudSim simulator or any cloud simulator. The main objectives of the present work is:  To identify intelligently and proactively the best VMs for allocating the tasks with the consideration of energy and deadline constraints.  To guarantee that the tasks received from the users are handled with a high quality of service (QoS) and without Service Level Agreement (SLA) violation (e.g., improve users satisfaction by meeting their requirements).  To ensure that the resources available are used to have better effects in order to improve the overall performance in terms of energy and resource utilization.  To balance a load of all resources using a dynamic priority scheduling based on the tasks features and resources capabilities while taking care of the fact that no PM/VM will get overloaded.  To maximize resource utilization and minimize the number of PMs used to host the VMs.