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Conference Papers Year : 2014

Goal-Oriented Monitoring Adaptation : methodology and patterns

Abstract

This paper argues that autonomic systems need to make their distributed monitoring adaptive in order to improve their “comprehensive” resulting quality; that means both the Quality of Service (QoS), and the Quality of Information (QoI). Thus, we propose a methodology to design monitoring adaptation based on high level objectives (goals) related to the management of quality requirements. One of the advantages of adopting a methodological approach, is that monitoring reconfiguration will be conducted through a consistent adaptation logic. Starting from a model-guided monitoring framework, we introduce our methodology to assist human administrators in eliciting the appropriate quality goals piloting the monitoring. Moreover, some monitoring adaptation patterns falling into reconfiguration dimensions are suggested and exploited in a cloud provider case-study illustrating the adaptation of Quality-Oriented monitoring.
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Dates and versions

hal-01178557 , version 1 (20-07-2015)

Identifiers

  • HAL Id : hal-01178557 , version 1
  • OATAO : 13146

Cite

Antoine Toueir, Julien Broisin, Michelle Sibilla. Goal-Oriented Monitoring Adaptation : methodology and patterns. 8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security (AIMS 2014), Jun 2014, Brno, Czech Republic. pp. 133-146. ⟨hal-01178557⟩
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