DocumentCode :
3381664
Title :
ASMA: Autonomous Software Management Agent system
Author :
Yap, Mathew ; Ng, Wee-Keong
Author_Institution :
JSIST, Singapore Polytech., Singapore
fYear :
1999
fDate :
1999
Firstpage :
630
Lastpage :
637
Abstract :
The ASMA (Autonomous Software Management Agent) system is used as a practical application of basic life-like characteristics, like reproduction, growth, death, movement and metabolic cycle, in a software agent. As software management moves toward automation, we are seeing increasing relevance in incorporating autonomous behaviour into the system. Among other advantages, these characteristics allow application software to be deployed independently by the users; administrators only need prepare the software once for the system and then leave the entire deployment and maintenance to the users. This not only reduces the workload of administrators but also improves the availability of software for the users. Each of these characteristics describes the essential features of a living organism, and we illustrate in this application that they are useful, if not essential, to agent architectures
Keywords :
computer aided software engineering; living systems; project support environments; software agents; software architecture; software management; ASMA; Autonomous Software Management Agent system; administrator workload; application software deployment; automated software management; autonomous behaviour; death; growth; life-like characteristics; living organism characteristics; metabolic cycle; movement; reproduction; software agent architecture; software availability; software maintenance; software preparation; system administration; Application software; Automation; Computer architecture; Environmental management; Organisms; Software agents; Software development management; Software maintenance; Software systems; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
Type :
conf
DOI :
10.1109/ICIIS.1999.810358
Filename :
810358
Link To Document :
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