PROJECT TITLE :

Using Ant Colony System to Consolidate VMs for Green Cloud Computing

ABSTRACT:

High energy consumption of cloud knowledge centers could be a matter of great concern. Dynamic consolidation of Virtual Machines (VMs) presents a significant opportunity to save lots of energy in data centers. A VM consolidation approach uses live migration of VMs so that some of the below-loaded Physical Machines (PMs) can be switched-off or put into a coffee-power mode. On the other hand, achieving the specified level of Quality of Service (QoS) between cloud suppliers and their users is essential. Therefore, the most challenge is to cut back energy consumption of information centers while satisfying QoS requirements. In this paper, we have a tendency to present a distributed system design to perform dynamic VM consolidation to scale back energy consumption of cloud data centers while maintaining the required QoS. Since the VM consolidation downside is strictly NP-onerous, we use an online optimization metaheuristic algorithm referred to as Ant Colony System (ACS). The proposed ACS-based mostly VM Consolidation (ACS-VMC) approach finds a near-optimal answer primarily based on a specified objective perform. Experimental results on real workload traces show that ACS-VMC reduces energy consumption whereas maintaining the required performance levels in a cloud knowledge center. It outperforms existing VM consolidation approaches in terms of energy consumption, number of VM migrations, and QoS necessities regarding performance.


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