DocumentCode
2226666
Title
Exploring Adaptive Data Centers through Cooperative Symbiotic Networking
Author
Champrasert, Paskorn ; Suzuki, Junichi
Author_Institution
Dept. of Comput. Sci., Massachusetts Univ., Boston, MA
fYear
2007
fDate
21-23 March 2007
Firstpage
107
Lastpage
118
Abstract
This paper describes a biologically-inspired architecture, called SymbioticSphere, which allows large-scale data centers to autonomously adapt to dynamic environmental changes. SymbioticSphere follows biological principles such as decentralization, natural selection and symbiosis to design data centers (application services and middleware platforms). Each application service and middleware platform is designed as a biological entity and implements biological behaviors such as migration, replication death and energy exchange. Services and platforms cooperatively invoke their behaviors to improve their adaptability. This paper presents a set of behaviors for services and platforms, and describes how services and platforms act and interact with each other. Simulation results show that services and platforms autonomously adapt to dynamic network conditions (e.g., user location, network traffic, and resource availability) by invoking their behaviors suitable for the conditions
Keywords
computer centres; groupware; middleware; SymbioticSphere; adaptive data centers; application services; biologically-inspired architecture; cooperative symbiotic networking; middleware platforms; Application software; Availability; Biological system modeling; Biology; Computer science; Energy exchange; Large-scale systems; Middleware; Symbiosis; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Trends of Distributed Computing Systems, 2007. FTDCS '07. 11th IEEE International Workshop on
Conference_Location
Sedona, AZ
ISSN
1071-0483
Print_ISBN
0-7695-2810-4
Type
conf
DOI
10.1109/FTDCS.2007.21
Filename
4144620
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