Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Software Architecture-Based Adaptation for Grid Computing
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
A swarm-inspired data center consolidation methodology
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
| Hi-index | 0.00 |
This paper describes a biologically-inspired architecture, called SymbioticSphere, which allows large-scale server farms to autonomously adapt to dynamic environmental changes and survive partial system failures. Symbiotic- Sphere follows biological principles such as decentralization, autonomy, natural selection, emergence and symbiosis to design server farms (application services and middleware platforms). Each application service and middleware platform is designed as a biological entity, analogous to an individual bee in a bee colony. Simulation results show that, like in biological systems, SymbioticSphere exhibits emergence of desirable system characteristics such as adaptability and survivability.