Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2717
Title: A Resource Aware VM Placement Strategy in Cloud Data Centers Based on Crow Search Algorithm
Authors: Satpathy, Anurag
Addya, Sourav Kanti
Turuk, Ashok Kumar
Majhi, Banshidhar
Sahoo, Gadadhar
Keywords: Virtual Machine
Data Center
Cloud Computing
Crow Search Algorithm
Travelling Salesman Problem
Issue Date: Jan-2017
Publisher: IEEE
Citation: 4th International Conference on Advanced Computing and Communication Systems (ICACCS), Sri Eshwar College of Engineering, Coimbatore, India, 06-07 January 2017
Abstract: Virtual 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.
Description: Copyright for this paper belongs to proceeding publisher
URI: http://hdl.handle.net/2080/2717
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2017_ICASS_ASatpathy_Resource.pdf361 kBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.