Energy-Aware Scheduling Using Workload Consolidation Techniques in Cloud Environment

In cloud computing, a cloud is a managed pool of resources which provide on-demand services or computational resources to the remote users over a network. The resources are provided to users in the form of virtual machines and are possibly distributed and heterogeneous, running on the cloud environment over Internet. Energyaware Scheduling algorithm and Energy-aware Live Migration algorithm reduces energy consumption in cloud environment. Both Algorithm use workload consolidation Techniques to make full use of the resources and investigate the problem of consolidating heterogeneous workloads and try to execute all Virtual Machines (VMs) with the minimum amount of Physical Machines (PMs), then power off unused physical servers to reduce power consumption. Energy-aware Scheduling Algorithm, Randomly turn on a physical server which is in sleep mode to active mode and place the VM to server. Energy-aware live Migration, VMs on underused physical servers to those which are mostly fully used that should be migrated to other unused physical server and is to optimize the current VM allocation and to migrate VMs. Multi-dimensional resources taken into consideration when placing VM and considering heterogeneous workloads. Both algorithms efficiently utilize the resources, and the multidimensional resources have good balanced utilizations, gives their promising energy saving capability.