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

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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 (uZone 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. © IFIP International Federation for Information Processing 2007.

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APA

Chaudhry, J. A., Lee, Y., Park, S., & Min, D. (2007). On self-aware delay time based service request optimization for gateway stability in autonomic self-healing systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4761 LNCS, pp. 348–357). Springer Verlag. https://doi.org/10.1007/978-3-540-75664-4_35

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