Seung Hwa Lee , Eun Seok Lee

The KIPS Transactions:PartD, Vol. 12, No. 4, pp. 647-656, Aug. 2005
10.3745/KIPSTD.2005.12.4.647,   PDF Download:

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 automation of large part of configuration tasks such as install, reconfiguration and update, and will also decrease cost and errors. Working from the gathered context information, this system allows users to select appropriate components and install them for user´s system context. This also offers a more personalized configuration setting by using user´s existing application setting and usage pattern. To avoid the overload on central server to transfer and manage related files, we employ Peer-to-Peer method. A prototype was developed to evaluate the system and a comparison study with the conventional methods of manual configuration and MS-IBM systems was conducted to validate the proposed system in terms of functional capacity, install time and etc.

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