Autonomous Information Access to Assure Service Level Agreement in Faded Information Field

Abstract

The user differentiation is required to attain heterogeneous service levels in such terms as accessible information volume, response time, or system availability. To fulfill requirement of user differentiation to attain heterogeneous service levels, based on the Faded Information Field (FIF) system architecture, autonomous real-time navigation technology is proposed by navigating users' mobile agents to low-congestion nodes to assure the maximum response time. As a result, the requests are able to avoid local congestion zones without a centralized dispatcher or workload manager, leading to globally accomplishing the heterogeneous Service Level Agreements of each user even in case of subsystem failure and rapidly changing environment. The effectiveness of the proposed technology has been proved through simulation, and the results show that the proposed technology increases an average of 60% the service satisfaction ratio. Index Terms - FIF, SLA, push/pull mobile agent (Push/Pull- MA), Real-Time Navigation the problem of assuring the maximum response time is addressed, and a decentralized resource management technology to assure pull mobile agent real-time navigation based on Faded Information Field (FIF) system architecture is proposed. From the cooperation between the users' mobile agents and the nodes in the system, the navigation technology eludes congestion zones to assure real-time property under unbalanced load situations. The technology is founded at the system structure level, without a centralized component, that assures the availability and real-time of the system under the assumption of heterogeneous service levels. The structure of the paper is organized as follows. In the next section, the system architecture of FIF and node structure with respect to proposed solution is presented. In section 3, information access control and the activities of pull mobile agent in real-time navigation are described. The simulation results in section 4 show the improvement and effectiveness of proposed technology. Finally, section 5 draws the conclusion.