Ant Colony Optimization Based Cloud Surrogation Placement Algorithm for Content Delivery Network
Keywords:
Cloud Computing, MAX−MIN ACO, Virtualization, VM Migration, Cloud Surrogation Placement, Consolidation, Content Delivery Network.Abstract
The cloud computing is well known for its “on-demand” service models, supported by set of hardware, networking and software resources. Cloud computing services host huge virtual machines (VMs) for demanding situations as virtualization. Virtualization efficiently accomplish increasing demand for computing, storage and network resources in the large-scale cloud data centers. By virtual machine (VM) migration, modern situation come across the various resource management representation considering load balancing, proactive server maintenance, power management, distributive service availability and fault tolerance. In this paper, an efficient energy consumption technique in cloud load balancing and consolidation based on Ant Colony Optimization (ACO) algorithm has been presented for cloud surrogation placement in content delivery network. Experimental results represents that, the proposed method performs better than static and dynamic cloud surrogation methods.
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