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This paper presents an analytical model for monitoring and analyzing QoS of publish/subscribe systems on MANET. The proposed customizable model ensures the user a good quality of service requirements and combines both proactive and reactive statistical analysis. In fact, the reactive analysis, suitable for multimedia applications, aims to detect failures by approximating latency series with a Gumbel...
This paper presents a cross-layer self-healing approach for Cloud computing environments, based on the Complex Event Processing method. It analyzes monitored events to detect performance-related problems and performs action to fix them without human intervention. Our proposal makes use of novel analysis rules, derived from a comprehensive study of the relationships between monitored metrics across...
In this paper, we propose a decentralized and adaptive approach for QoS aware publish/subscribe systems deployed on MANET. It provides monitoring and analysis modules acting at the middleware layer to detect QoS degradations between brokers. The paper presents a statistical method allowing for a permanent measurement of QoS parameters and an instantaneous detection of link failures. The statistical...
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