A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments
To avoid the drawbacks of a pricing mechanism in heterogeneous cloud environments that considers only single resources, we propose a multi-resource combinatorial pricing mechanism in this paper. This approach jointly considers the principal resources (i.e., CPU, memory, storage, and bandwidth) with...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8124185/ |
| _version_ | 1819162438629588992 |
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| author | Xin Chen Feng Ding Tiantian Zhang Gang Hou Lan Lan |
| author_facet | Xin Chen Feng Ding Tiantian Zhang Gang Hou Lan Lan |
| author_sort | Xin Chen |
| collection | DOAJ |
| description | To avoid the drawbacks of a pricing mechanism in heterogeneous cloud environments that considers only single resources, we propose a multi-resource combinatorial pricing mechanism in this paper. This approach jointly considers the principal resources (i.e., CPU, memory, storage, and bandwidth) with the goal of minimizing the total cost. Then, a cost-optimized resource provisioning policy (CORPP) based on game theory is applied to this mechanism that considers the Nash equilibrium between cloud users as well as the Stackelberg equilibrium between users and the cloud provider. The experimental results show that the proposed combinatorial pricing mechanism is more suitable in a heterogeneous cloud environment when running various types of cloudlets. Moreover, CORPP is effective in reducing users' total costs when using both random cloudlets and PlanetLab cloudlets. |
| first_indexed | 2024-12-22T17:28:15Z |
| format | Article |
| id | doaj.art-954aa68e7eeb45eba8e1e6b9c125b12d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T17:28:15Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-954aa68e7eeb45eba8e1e6b9c125b12d2022-12-21T18:18:40ZengIEEEIEEE Access2169-35362017-01-015266812668910.1109/ACCESS.2017.27781458124185A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud EnvironmentsXin Chen0Feng Ding1https://orcid.org/0000-0003-2512-5443Tiantian Zhang2Gang Hou3Lan Lan4School of Electronics and Information Engineering, Liaoning University of Technology, Jinzhou, ChinaSchool of Software Technology, Dalian University of Technology, Dalian, ChinaSchool of Software Technology, Dalian University of Technology, Dalian, ChinaSchool of Software Technology, Dalian University of Technology, Dalian, ChinaInternational Studies of College, Shenyang University, Shenyang, ChinaTo avoid the drawbacks of a pricing mechanism in heterogeneous cloud environments that considers only single resources, we propose a multi-resource combinatorial pricing mechanism in this paper. This approach jointly considers the principal resources (i.e., CPU, memory, storage, and bandwidth) with the goal of minimizing the total cost. Then, a cost-optimized resource provisioning policy (CORPP) based on game theory is applied to this mechanism that considers the Nash equilibrium between cloud users as well as the Stackelberg equilibrium between users and the cloud provider. The experimental results show that the proposed combinatorial pricing mechanism is more suitable in a heterogeneous cloud environment when running various types of cloudlets. Moreover, CORPP is effective in reducing users' total costs when using both random cloudlets and PlanetLab cloudlets.https://ieeexplore.ieee.org/document/8124185/Heterogeneous cloudcombinatorial pricingresource provisioninggame theoryNash equilibriumStackelberg equilibrium |
| spellingShingle | Xin Chen Feng Ding Tiantian Zhang Gang Hou Lan Lan A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments IEEE Access Heterogeneous cloud combinatorial pricing resource provisioning game theory Nash equilibrium Stackelberg equilibrium |
| title | A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments |
| title_full | A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments |
| title_fullStr | A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments |
| title_full_unstemmed | A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments |
| title_short | A Cost-Optimized Resource Provisioning Policy for Heterogeneous Cloud Environments |
| title_sort | cost optimized resource provisioning policy for heterogeneous cloud environments |
| topic | Heterogeneous cloud combinatorial pricing resource provisioning game theory Nash equilibrium Stackelberg equilibrium |
| url | https://ieeexplore.ieee.org/document/8124185/ |
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