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.
Complete list of metadatas

Cited literature [18 references]  Display  Hide  Download

https://hal.inria.fr/hal-01401300
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 23, 2016 - 10:26:17 AM
Last modification on : Thursday, October 24, 2019 - 2:44:11 PM

File

978-3-662-43862-6_17_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Antoine Toueir, Julien Broisin, Michelle Sibilla. Goal-Oriented Monitoring Adaptation: Methodology and Patterns. 8th IFIP International Conference on Autonomous Infrastructure, Management and Security (AIMS), Jun 2014, Brno, Czech Republic. pp.133-146, ⟨10.1007/978-3-662-43862-6_17⟩. ⟨hal-01401300⟩

Share

Metrics

Record views

190

Files downloads

876