Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2717
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dc.contributor.authorSatpathy, Anurag-
dc.contributor.authorAddya, Sourav Kanti-
dc.contributor.authorTuruk, Ashok Kumar-
dc.contributor.authorMajhi, Banshidhar-
dc.contributor.authorSahoo, Gadadhar-
dc.date.accessioned2017-06-02T10:35:57Z-
dc.date.available2017-06-02T10:35:57Z-
dc.date.issued2017-01-
dc.identifier.citation4th International Conference on Advanced Computing and Communication Systems (ICACCS), Sri Eshwar College of Engineering, Coimbatore, India, 06-07 January 2017en_US
dc.identifier.urihttp://hdl.handle.net/2080/2717-
dc.descriptionCopyright for this paper belongs to proceeding publisheren_US
dc.description.abstractVirtual machine (VM) placement in cloud data centers is a challenging task. With the increasing popularity of cloud computing across the globe, a large number of VMs are to be consolidated on a minimum number of data centers (DCs) to optimize the energy consumption and data center utilization. In this paper, we propose a resource aware approach based on a metaheuristic crow search algorithm (CSA) to consolidate a large number of VMs on minimal DCs to meet the Service level agreement (SLA) and desired quality of service (QoS) with maximum data center utilization. We propose two independent techniques, (i) greedy crow search (GCS), (ii) travelling salesman problem based hybrid crow search (TSPCS), to meet the desired objectives. A comparative study has been made from the obtained results. To evaluate the performance of proposed methods we compare them with the classical First Fit (FF) approach and proposed methods significantly outperform the classical method.en_US
dc.publisherIEEEen_US
dc.subjectVirtual Machineen_US
dc.subjectData Centeren_US
dc.subjectCloud Computingen_US
dc.subjectCrow Search Algorithmen_US
dc.subjectTravelling Salesman Problemen_US
dc.titleA Resource Aware VM Placement Strategy in Cloud Data Centers Based on Crow Search Algorithmen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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