An immunologically-inspired autonomic framework for self-organizing and evolvable network applications

ACM Transactions on Autonomous and Adaptive Systems

Volumn 4, Issue 4, 2009, Pages

  Lee, Chonho ^a   Suzuki, Junichi ^a  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

Author keywords

Artificial immune systems; Autonomic networking; Biologically inspired networking; Evolvable network applications

Indexed keywords

AGENT BEHAVIOR; ARTIFICIAL IMMUNE SYSTEM; AUTONOMIC NETWORKING; BIOLOGICAL BEHAVIOR; CROSSOVER AND MUTATION; DYNAMIC CHANGES; EMPIRICAL MEASUREMENT; ENERGY EXCHANGES; ENVIRONMENT CONDITIONS; EVOLVABLE; GENETIC OPERATIONS; HETEROGENEOUS NETWORK ENVIRONMENTS; IMMUNE SYSTEMS; LINK FAILURES; NETWORK APPLICATIONS; NETWORK SIZE; NETWORK TRAFFIC; PARTIAL SYSTEMS; RESOURCE AVAILABILITY; SELF ORGANIZING; SIMULATION RESULT; SURROUNDING ENVIRONMENT;

ANTIBODIES; ANTIGENS; BIOLOGICAL SYSTEMS; HETEROGENEOUS NETWORKS; IMMUNOLOGY; SOFTWARE AGENTS; SYSTEMS ENGINEERING; VIRUSES;

COMPUTER SIMULATION;

EID: 77949796865     PISSN: 15564665     EISSN: 15564703     Source Type: Journal    
DOI: 10.1145/1636665.1636668     Document Type: Article

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