A novel coordinated resource provisioning approach for cooperative cloud market

Abstract Cloud computing has been the enabling technology for shifting mass scale computation and storage requirements from individually owned clients towards an on-demand and utility styled alternative that provides many services. However, cost of maintaining datacenters, keeping the environmental...

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Main Authors: K Hemant Kumar Reddy, Geetika Mudali, Diptendu Sinha Roy
Format: Article
Language:English
Published: SpringerOpen 2017-03-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13677-017-0078-z
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author K Hemant Kumar Reddy
Geetika Mudali
Diptendu Sinha Roy
author_facet K Hemant Kumar Reddy
Geetika Mudali
Diptendu Sinha Roy
author_sort K Hemant Kumar Reddy
collection DOAJ
description Abstract Cloud computing has been the enabling technology for shifting mass scale computation and storage requirements from individually owned clients towards an on-demand and utility styled alternative that provides many services. However, cost of maintaining datacenters, keeping the environmental ramifications of data centers at check, providing affordable computation alternative to users still needs to be addressed in a wholesome manner. One of the most exciting and recent research areas in cloud computing has been cloud federations that can mitigate the aforesaid problems. The past decade has seen immense efforts towards interoperability of clouds leading to realistic cloud federations. Motivated by these advancements and equipped with available technologies, this paper presents a detailed account of a cooperative cloud market. It delineates trading mechanisms of such cloud markets, extent of coordination among market players with illustrative examples. It also presents a novel two-phase coordinated resource reservation and provisioning (CRRP) approach that allocates cloud resources to users to meet the goal of minimizing users’ cost. To that end, this paper proposes a novel Most Cost Effective Providers’ Resources First (MCEPRF) algorithm. The efficiency of the proposed algorithm has been tested using synthetic data and the simulation results presented herein demonstrate the superiority of the proposed approach over its non-coordinated counterparts.
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spelling doaj.art-52b3d3f59c4641aa8d8c44a3bf5088f82022-12-21T20:37:10ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2017-03-016111710.1186/s13677-017-0078-zA novel coordinated resource provisioning approach for cooperative cloud marketK Hemant Kumar Reddy0Geetika Mudali1Diptendu Sinha Roy2Department of Computer Science and Engineering, National Institute of Science and Technology, BerhampurDepartment of Computer Science and Engineering, National Institute of Science and Technology, BerhampurDepartment of Computer Science and Engineering, National Institute of Technology, MeghalayaAbstract Cloud computing has been the enabling technology for shifting mass scale computation and storage requirements from individually owned clients towards an on-demand and utility styled alternative that provides many services. However, cost of maintaining datacenters, keeping the environmental ramifications of data centers at check, providing affordable computation alternative to users still needs to be addressed in a wholesome manner. One of the most exciting and recent research areas in cloud computing has been cloud federations that can mitigate the aforesaid problems. The past decade has seen immense efforts towards interoperability of clouds leading to realistic cloud federations. Motivated by these advancements and equipped with available technologies, this paper presents a detailed account of a cooperative cloud market. It delineates trading mechanisms of such cloud markets, extent of coordination among market players with illustrative examples. It also presents a novel two-phase coordinated resource reservation and provisioning (CRRP) approach that allocates cloud resources to users to meet the goal of minimizing users’ cost. To that end, this paper proposes a novel Most Cost Effective Providers’ Resources First (MCEPRF) algorithm. The efficiency of the proposed algorithm has been tested using synthetic data and the simulation results presented herein demonstrate the superiority of the proposed approach over its non-coordinated counterparts.http://link.springer.com/article/10.1186/s13677-017-0078-zCloud computingCloud marketCost optimizationCoordinated resource provisioning
spellingShingle K Hemant Kumar Reddy
Geetika Mudali
Diptendu Sinha Roy
A novel coordinated resource provisioning approach for cooperative cloud market
Journal of Cloud Computing: Advances, Systems and Applications
Cloud computing
Cloud market
Cost optimization
Coordinated resource provisioning
title A novel coordinated resource provisioning approach for cooperative cloud market
title_full A novel coordinated resource provisioning approach for cooperative cloud market
title_fullStr A novel coordinated resource provisioning approach for cooperative cloud market
title_full_unstemmed A novel coordinated resource provisioning approach for cooperative cloud market
title_short A novel coordinated resource provisioning approach for cooperative cloud market
title_sort novel coordinated resource provisioning approach for cooperative cloud market
topic Cloud computing
Cloud market
Cost optimization
Coordinated resource provisioning
url http://link.springer.com/article/10.1186/s13677-017-0078-z
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