Paper Info
Title
Context adaptive self-configuration system based on multi-agent
Abstract
This paper proposes an adaptive resource self-management system that collects system resources, user information, and usage patterns as context information for utilization in self-configuration. This system will ease the system maintenance burden on users by automating a large portion of the configuration tasks such as; install, reconfiguration and update, while also decreasing cost and errors. Working from the gathered context information, this system allows users to select and install appropriate components for their system context. This also offers a more personalized configuration setting by using user's existing application setting and usage pattern. To avoid a center server overload when transferring and managing related files, we employ Peerto- Peer method. A prototype was developed to evaluate the system with a comparison study using the conventional methods of manual configuration and MS-IBM systems was conducted to validate the proposed system in terms of functional capacity, install time, etc...
Year
DOI
Venue
2005
10.1007/11508373_20
CONTEXT
Keywords
Field
DocType
adaptive resource self-management system,context information,system resource,proposed system,system maintenance burden,manual configuration,configuration task,ms-ibm system,context adaptive self-configuration system,usage pattern,system context,management system
Information system,Peer-to-peer,Computer science,User information,Natural language processing,Artificial intelligence,Control reconfiguration,Distributed computing,Personalization,Resource management,Adaptive system,Simulation,Resource allocation
Conference
Volume
ISSN
ISBN
3554
0302-9743
3-540-26924-X
Citations 
PageRank 
References 
2
0.40
5
Authors
3
Name
Order
Citations
PageRank
Seunghwa Lee1204.68
Hee Yong Youn2943142.78
Eunseok Lee322747.07