A Group Comparison of E-Learning Authoring Tools in Educational Production and Management

Background/Objectives: Cloud computing could be considered of vital paradigms in IT which allows services to be delivered to the users via the internet on demand and on pay as you go basis. The growing demand on cloud computing environments increasing the number of datacenters which in turn increase the amount of power consumption in datacenters along with cooling equipment. Load balancing is considered a major challenge affecting in cloud performance Methods: An existing problem is how to allocate Virtual Machines (VMs) to Physical Machines (PMs) or hosts. This process is called VM placement. An algorithm is proposed that can reduce power consumption. Findings: The proposed algorithm assigns VMs onto PMs based on first fit decreasing algorithm and improves an existed one through reducing power consumption by turning-off some under load hosts if available and migrating their VMs to other active hosts. Application: The presented approach could decrease significantly energy consumption in comparison with the existing one through migrating VMs from underload hosts and turns them off.