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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2017-03-01
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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. |
first_indexed | 2024-12-19T03:43:41Z |
format | Article |
id | doaj.art-52b3d3f59c4641aa8d8c44a3bf5088f8 |
institution | Directory Open Access Journal |
issn | 2192-113X |
language | English |
last_indexed | 2024-12-19T03:43:41Z |
publishDate | 2017-03-01 |
publisher | SpringerOpen |
record_format | Article |
series | Journal of Cloud Computing: Advances, Systems and Applications |
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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