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A diagnosis module based on statistic and QoS techniques for self-healing architectures supporting WS based applications

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6 Author(s)
Francisco Moo-Mena ; Universidad Autónoma de Yucatán - Facultad de Matématicas Periférico Norte-Tablaje 13615, Mérida, Mexico ; Juan Garcilazo-Ortiz ; Luis Basto-Díaz ; Fernando Curi-Quintal
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In literature it is common to find that a self-healing architecture is made up basically of three modules: monitoring, diagnosis, and recovery. Of these three modules, the diagnosis module represents a crucial point, since in this one the state that keeps the system is established. Nevertheless, a standardized way does not exist to implement this module in this kind of architecture. In this paper we propose a strategy of implementation of diagnosis module based on statistic methods by using box plot diagrams. This technique allows us to calibrate the parameters of quality of service (QoS) in a Web services based application. This way, based on the values of QoS, the diagnosis module determines if the system is stable or if a QoS degradation is presented.

Published in:

Cyber-Enabled Distributed Computing and Knowledge Discovery, 2009. CyberC '09. International Conference on

Date of Conference:

10-11 Oct. 2009