A Biologically-Inspired Autonomic Architecture for Self-Healing Data Centers

This paper describes a biologically-inspired architecture, called SymbioticSphere, which allows data centers to autonomously adapt to dynamic environmental changes and survive partial system failures. SymbioticSphere follows certain biological principles such as decentralization, natural selection, emergence and symbiosis to design data centers (application services and middleware platforms). Each service and platform is modeled as a biological entity, analogous to an individual bee in a bee colony, and implements biological concepts such as energy level, health level, energy exchange, environment sensing, migration, replication and death. Simulation results show that, like in biological systems, desirable system properties in data centers (e.g., adaptability and survivability) emerge from collective actions and interactions of services and platforms

[1]  Amin Vahdat,et al.  Managing energy and server resources in hosting centers , 2001, SOSP.

[2]  Michael P. Wellman.  A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems , 1993, J. Artif. Intell. Res..

[3]  R. M. Alexander,et al.  Energy for animal life , 1999 .

[4]  Tatsuya Suda,et al.  The Bio-Networking Architecture: a biologically inspired approach to the design of scalable, adaptive, and survivable/available network applications , 2001, Proceedings 2001 Symposium on Applications and the Internet.

[5]  P. Dini.  Internet, GRID, self-adaptability and beyond: are we ready? , 2004 .

[6]  S. Wicker,et al.  Termite: ad-hoc networking with stigmergy , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[7]  J. Rolia,et al.  Adaptive Internet Data Centers , 2000 .

[8]  Martin Arlitt,et al.  A workload characterization study of the 1998 World Cup Web site , 2000, IEEE Netw..

[9]  Andrew S. Grimshaw,et al.  TOWARDS DEPENDABLE GRIDS , 2004 .

[10]  Franco Zambonelli,et al.  Mobile-Agent Coordination Models for Internet Applications , 2000, Computer.

[11]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[12]  Karim Djemame,et al.  Adaptive grid resource brokering , 2003, 2003 Proceedings IEEE International Conference on Cluster Computing.

[13]  David Patterson,et al.  Self-repairing computers. , 2003, Scientific American.

[14]  Michael Gertz,et al.  The Willow Architecture: Comprehensive Survivability for Large-Scale Distributed Applications , 2001 .

[15]  Y. Yemini,et al.  MARKETNET: A MARKET-BASED ARCHITECTURE FOR SURVIV- ABLE LARGE-SCALE INFORMATION SYSTEMS , 1999 .

[16]  Kihong Park,et al.  The Internet as a Large-Scale Complex System , 2005, Santa Fe Institute Studies in the Sciences of Complexity.

[17]  Tatsuya Suda,et al.  A middleware platform for a biologically inspired network architecture supporting autonomous and adaptive applications , 2005, IEEE Journal on Selected Areas in Communications.

[18]  David Evans,et al.  A biologically inspired programming model for self-healing systems , 2002, WOSS '02.

[19]  Naoki Wakamiya,et al.  Toward overlay network symbiosis , 2005, Fifth IEEE International Conference on Peer-to-Peer Computing (P2P'05).

[20]  S. Ranjan,et al.  QoS-driven server migration for Internet data centers , 2002, IEEE 2002 Tenth IEEE International Workshop on Quality of Service (Cat. No.02EX564).

[21]  Pattie Maes,et al.  Cooperating Mobile Agents for Dynamic Network Routing , 1999 .