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Autonomic Communications (called AutoComm hereafter) represents the vision of autonomy of communication networks with minimum human administration. In such communication self-management paradigm, the networks and their elements strive to realize efficiency, immunity, resilience and evolvability through endogenous self-optimization, self-protection, self-healing, self-adaptation and self-configuration. By encapsulating complexity within the networks, promoting the intelligence of communication systems, and using technology to manage technology, human administration complexity can be greatly reduced while management efficiency can be maximized. Since the degree of user intervention and interactions is kept at a minimum, human administrators can reside at high-level by specifying only abstract management objectives.

ACIG's work spans a wide range of topics of interests including but not limited to:

  • AutoComm in home networks
  • AutoComm in consumer communications
  • AutoComm in multimedia communications
  • Middlebox communications and AutoComm
  • Autonomic services
  • Autonomic signaling
  • Network architecture with AutoComm flavors
  • Holistic and systematic cross-layer design for AutoComm
  • Protocol engineering featuring self-*
  • Bio-inspired principles for AutoComm
  • Networked ecosystems
  • Self-organizing systems
  • Self-optimizing and self-tuning networks
  • Self-healing and self-protecting networks
  • Self-configuring networks
  • Self-governing and self-aware networks
  • Composable/Composite functional systems
  • Ecological models for AutoComm
  • AI and agent technologies for AutoComm
  • Adaptive control theories for AutoComm
  • Grid solutions for AutoComm
  • Network calculus and network coding for AutoComm
  • Cellular automatons for AutoComm
  • Swarm intelligence for AutoComm
  • Economic models for AutoComm
  • Learning and knowledge plane construction techniques
  • Situation/Context-awareness
  • Proactive monitoring and control
  • Rule and policy-based management
  • Fitness functions for AutoComm
  • Cost functions for AutoComm
  • Decision theories for AutoComm
  • Conflict resolution algorithms for AutoComm
  • Evolvability in AutoComm
  • AutoComm testbeds
  • Mobile code and network programmability
 

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© 2005 - IEEE Communications Society Technical Committee on Multimedia Communications


Last Updated: 17/01/2006
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