Abstract
The service-oriented architecture (SOA) allows distributed resources to be provided through standard service interfaces, resulting in easy and flexible access to domain-specific functionality. Depending on resource availability and the demand for services, a service-providing host may choose to provide one or several services in the direction of maximizing its service-providing utility. This is known as the service provision control (SPC) problem. With the help of stochastic differential equations (SDEs), this problem will be tackled in this paper within a stochastic optimization framework. Differential evolution (DE) algorithm will be further utilized to identify near-optimal service-providing policies. Experimental study has been conducted based on an example inspired by Cyber security. The experiment results show that our approach is effective in tackling the SPC problem and may be therefore suitable for many practical applications.
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Chen, G., Pang, S., Sarrafzadeh, A., Ban, T., Inoue, D. (2012). SDE-Driven Service Provision Control. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34475-6_32
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DOI: https://doi.org/10.1007/978-3-642-34475-6_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34474-9
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