Decentralized workload management for assurance according to heterogeneous service levels

  • Authors:
  • Ivan Luque;Xiaodong Lu;Misato Tasaka;Kinji Mori;Yasushi Kuba

  • Affiliations:
  • Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan;Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan;Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan;Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan;Hitachi, Ltd., Totsukaku, Yokohama, Japan

  • Venue:
  • HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Due to the advent of electronic commerce, the service provider can offer the customer a Service Level Agreement (SLA) to distinguish itself in today's competitive market. Different users require different levels of service in terms of information consumption or response time, appearing a need of a system able to assure the heterogeneous service levels of the users in such a mission-critical environment. In this paper we propose an information service infrastructure based on the Faded Information Field (FIF), a distributed service replica network founded on Push/Pull mobile agent technology. The cooperation between the autonomous agents and the nodes allows the online maintenance and auto-reconstruction of the FIF system in order to satisfy the different timely requirements of each user even in an ever-changing environment. Moreover, the system is able to provide different maximum information volume according to the user's service level, a double-sided feature that benefits to both the provider's business strategy and the differentiated timeliness access technology presented on this paper. The effectiveness of the proposed technology has been proved through evaluation and the simulation results show that the system is able to adapt and satisfy the different requirements of timeliness and the different levels of information volume required by each user under changing workloads, compared with conventional systems.