Autonomic management

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History

The term "autonomic" originates from human sciences e.g. the autonomic nervous system where it refers to a control system responding involuntarily i.e., without consciousness to stimuli coming from its environment. The term "autonomic computing" was widely promoted by IBM as part of the Grand Challenges for the IT industry.

Definition

  • Autonomic networking requires self-* properties. According to IBM there are four fundamental aspects of autonomic computing:
    • Self-configuring – systems adapt automatically to dynamically changing environments.
    • Self-healing – systems discover, diagnose, and react to disruptions.
    • Self-optimizing – systems monitor and tune resources automatically.
    • Self-protecting – systems anticipate, detect, identify, and protect themselves from attacks from anywhere.
  • Autonomic management: Acting involuntary (on reflex) according to some predefined policies in order to keep the system up and running within its limits.
  • Autonomic (in general): (a) acting or occurring involuntarily (reflexes) and (b) relating to, affecting, or controlled by the autonomic nervous system or its effects or activity (http://mw1.merriam-webster.com/dictionary/autonomic).

Characteristics

  • Autonomic management is sometimes used to refer to the set of management activities that take place in Autonomic Networks or Autonomic Systems.
  • It also sometimes refers to all algorithms that automate management and/or control functions of traditional networks in such a way that they become more autonomic

Relation to Autonomous management

Compared to autonomous networks, autonomic networks are less intelligent and require a management interface.


Projects

Conferences and workshops

Books

  • Yu Cheng et al., A Generic Architecture for Autonomic Service and Network Management, Computer Communications (2006), www.sciencedirect.de, Elsevier

Publications

  • The Autonomic Computing Manifesto
  • Autonomic Computing Special Issue, IBM Systems Journal, Vol. 42, No 1, 2003.
  • Kephart J, Chess D, The Vision of Autonomic Computing, IEEE Computer, Jan 2003, pp 41-50.
  • E. Lupu, N. Dulay, M. Sloman, J.Sventek, S. Heeps, S. Strowes, K. Twidle, S.-L. Keoh, A. Schaeffer-Filho. AMUSE: Autonomic Management of Ubiquitous e-Health Systems. Concurrency and Computation: Practice and Experience, John Wiley and Sons, Inc., 20(3)-277-296. http://dx.doi.org/10.1002/cpe.1194
  • M. Sloman, E. C. Lupu, Engineering Policy-Based Ubiquitous Systems. The Computer Journal. 2009, DOI 10.1093/comjnl/bxp102.