DocumentCode
3028406
Title
Role-based systems are autonomic
Author
Zhu, Haibin
Author_Institution
Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON
fYear
2008
fDate
14-16 Aug. 2008
Firstpage
144
Lastpage
152
Abstract
Autonomic computing is a newly emerging computing paradigm in order to create computer systems capable of self-management and overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, i.e., an autonomic system should be able to perceive the abnormality of its components. After abnormality is checked, a process of self-healing or self-configuration must be completed to guarantee the system works correctly and continuously. In role-based collaboration (RBC), roles are the major media for interaction, coordination, and collaboration. A role can be used to check if a player behaves well or not. This paper investigates the possibility of using roles and a role engine to diagnose the behavior of agents, and facilitate self-* properties of a system. The paper asserts that role-based systems are autonomic.
Keywords
multi-agent systems; software agents; agents; autonomic computing; computing systems management; role-based collaboration; role-based systems; Collaboration; Collaborative work; Computer network management; Computer networks; Computer science; Humans; Mathematics; Multiagent systems; Protection; Security; agents; autonomic computing; role-based systems; roles;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2008. ICCI 2008. 7th IEEE International Conference on
Conference_Location
Stanford, CA
Print_ISBN
978-1-4244-2538-9
Type
conf
DOI
10.1109/COGINF.2008.4639162
Filename
4639162
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