Autonomous Integration and Optimal Allocation of Heterogeneous Information Services for High-Assurance in Distributed Information Service System

Xiaodong LU  Kinji MORI  

IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.10   pp.2087-2094
Publication Date: 2003/10/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (IEICE/IEEE Joint Special Issue on Assurance Systems and Networks)
Category: Agent-Based Systems
faded information field (FIF),  information service system,  push/pull mobile agent,  integration and allocation,  

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Information service provision and utilization is an important infrastructure in the high-assurance distributed information service system. In order to cope with the rapidly evolving situations of providers' and users' heterogeneous requirements, one autonomous information service system has been proposed, called Faded Information Field (FIF). FIF is a distributed information service system architecture, sustained by push/pull mobile agents, through a recursive demand-oriented provision of the most popular information closer to the users to make a tradeoff between the cost of service allocation and access. In this system, users' requests are autonomously driven by pull mobile agents in charge of finding the relevant service. In the case of a mono-service request, the system is designed to reduce the time needed for users to access the information and to preserve the consistency of the replicas. However, when the user requests joint selection of multiple services, synchronization of atomic actions and timeliness have to be assured by the system. In this paper, the relationship that exists among the contents, properties and access ratios of information services is clarified. Based on these factors, the ratio of correlation and degree of satisfaction are defined and the autonomous integration and optimal allocation of information services for heterogeneous FIFs to provide one-stop service for users' multi-service requirements are proposed. The effectiveness of the proposed technology is shown through evaluation and the results show that the integrated services can reduce the total users access time and increase services consumption compared with separate systems.