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...

Full description

Saved in:
Bibliographic Details
Main Authors: Junichi Suzuki, Paskorn Champrasert, Chonho Lee
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877837748&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51504
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-51504
record_format dspace
spelling th-cmuir.6653943832-515042018-09-04T06:03:29Z Self-stabilizable symbiosis for cloud data center applications: A game theoretic perspective Junichi Suzuki Paskorn Champrasert Chonho Lee Computer Science 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. © 2012 IEEE. 2018-09-04T06:03:29Z 2018-09-04T06:03:29Z 2012-12-01 Conference Proceeding 2-s2.0-84877837748 10.1109/SCIS-ISIS.2012.6505035 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877837748&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51504
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Junichi Suzuki
Paskorn Champrasert
Chonho Lee
Self-stabilizable symbiosis for cloud data center applications: A game theoretic perspective
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. © 2012 IEEE.
format Conference Proceeding
author Junichi Suzuki
Paskorn Champrasert
Chonho Lee
author_facet Junichi Suzuki
Paskorn Champrasert
Chonho Lee
author_sort Junichi Suzuki
title 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_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_sort self-stabilizable symbiosis for cloud data center applications: a game theoretic perspective
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84877837748&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51504
_version_ 1681423781730451456