On self-aware delay time based service request optimization for gateway stability in autonomic self-healing systems

  • Authors:
  • Junaid Ahsenali Chaudhry;Yonghwan Lee;Seungkyu Park;Dugki Min

  • Affiliations:
  • Graduate School of Information and Communication, Ajou University, Suwon, Korea;School of Computer Science and Engineering, Konkuk University, Seoul, Korea;Graduate School of Information and Communication, Ajou University, Suwon, Korea;School of Computer Science and Engineering, Konkuk University, Seoul, Korea

  • Venue:
  • SEUS'07 Proceedings of the 5th IFIP WG 10.2 international conference on Software technologies for embedded and ubiquitous systems
  • Year:
  • 2007

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Abstract

The benefits of component-based service composition are immense however due to their exponential complexity; their real time implementation is a big challenge. In hybrid networks i.e. ubiquitous zone-based networks (u-Zone Networks), the high intensity of service requests can effect drastically on the performance stability of service gateways. In this paper, we present a selfaware service request optimization algorithm for autonomic self-healing systems. We propose when a service request is received and the system is found in the overload state where it can not entertain more service requests, instead of imposing denial of service, the gateway would evaluate the workload of the worker thread at the gateway and reschedule the service request by deferring it. According to our simulation result, the proposed delay time algorithm, if implied, enable gateways with more stability in order to process high flux of service request loads even beyond the saturation point.