Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective
This paper describes and evaluates a self-stabilizable adaptation framework for data center applications. The design of the proposed architecture, SymbioticSphere, is inspired by key biological principles such as decentralization, natural selection, emergence and symbiosis. In SymbioticSphere, each...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/98039 http://hdl.handle.net/10220/12230 |
| _version_ | 1811695472160538624 |
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| author | Suzuki, Junichi Champrasert, Paskorn Lee, Chonho |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Suzuki, Junichi Champrasert, Paskorn Lee, Chonho |
| author_sort | Suzuki, Junichi |
| collection | NTU |
| description | This paper describes and evaluates a self-stabilizable adaptation framework for data center applications. The design of the proposed architecture, SymbioticSphere, is inspired by key biological principles such as decentralization, natural selection, emergence and symbiosis. In SymbioticSphere, each data center application consists of application services and middleware platforms. Each service and platform is designed as a biological entity, analogous to an individual bee in a bee colony, and implements biological behaviors such as energy exchange, migration, replication and death. SymbioticSphere allows services and platforms to (1) adaptively invoke their behaviors according to dynamic network conditions and (2) autonomously seek stable behavior invocations as equilibria (or symbiosis) between them. A symbiosis between a service and a platform is sought as a Nash equilibrium in an extensive-form game. Simulation results demonstrate that SymbioticSphere allows services and platforms to successfully adapt to dynamic networks in a self-stabilizable manner. |
| first_indexed | 2024-10-01T07:24:00Z |
| format | Conference Paper |
| id | ntu-10356/98039 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:24:00Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/980392020-05-28T07:19:03Z Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective Suzuki, Junichi Champrasert, Paskorn Lee, Chonho School of Computer Engineering International Conference on Soft Computing and Intelligent Systems (6th : 2012 : Kobe, Japan) International Symposium on Advanced Intelligent Systems (13th : 2012 : Kobe, Japan) This paper describes and evaluates a self-stabilizable adaptation framework for data center applications. The design of the proposed architecture, SymbioticSphere, is inspired by key biological principles such as decentralization, natural selection, emergence and symbiosis. In SymbioticSphere, each data center application consists of application services and middleware platforms. Each service and platform is designed as a biological entity, analogous to an individual bee in a bee colony, and implements biological behaviors such as energy exchange, migration, replication and death. SymbioticSphere allows services and platforms to (1) adaptively invoke their behaviors according to dynamic network conditions and (2) autonomously seek stable behavior invocations as equilibria (or symbiosis) between them. A symbiosis between a service and a platform is sought as a Nash equilibrium in an extensive-form game. Simulation results demonstrate that SymbioticSphere allows services and platforms to successfully adapt to dynamic networks in a self-stabilizable manner. 2013-07-25T06:09:17Z 2019-12-06T19:49:56Z 2013-07-25T06:09:17Z 2019-12-06T19:49:56Z 2012 2012 Conference Paper Suzuki, J., Champrasert, P., & Lee, C. (2012). Self-stabilizable symbiosis for cloud data center applications: A game theoretic perspective. 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligence Systems (ISIS). https://hdl.handle.net/10356/98039 http://hdl.handle.net/10220/12230 10.1109/SCIS-ISIS.2012.6505035 en © 2012 IEEE. |
| spellingShingle | Suzuki, Junichi Champrasert, Paskorn Lee, Chonho Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective |
| title | Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective |
| title_full | Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective |
| title_fullStr | Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective |
| title_full_unstemmed | Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective |
| title_short | Self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective |
| title_sort | self stabilizable symbiosis for cloud data center applications a game theoretic perspective |
| url | https://hdl.handle.net/10356/98039 http://hdl.handle.net/10220/12230 |
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