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Cloud SLA Modeling and Monitoring

  • Taher Labidi
  • , Achraf Mtibaa
  • , Walid Gaaloul
  • , Samir Tata
  • , Faiez Gargouri
  • National School of Electronic and Telecommunications
  • Sfax University
  • IBM Almaden Research Center
  • Higher Institute of Computer Science and Multimedia

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

31 Citations (Scopus)

Résumé

Service Level Agreement (SLA) is gaining more and more interest since the dynamic aspect of the cloud computing can adversely influence the guarantee of the Quality of Service (QoS). Proving an SLA violation is considered to be a complex operation to the cloud consumer. This task gets more and more difficult to the consumers as they use services from multiple providers, each with its own monitoring policies. In order to implicitly help the consumer monitor the SLA and detect violations, it is necessary to implement some advanced SLA management strategies. Ontological representation and reasoning techniques in SLA management may be beneficial to the evaluation of the QoS. In this regard, we propose a monitoring approach with a new semantic SLA modeling for cloud computing. Our approach aims to help cloud consumers monitor the SLA documents and detect violations by considering the semantic meaning of SLA concepts and taking profit from the power of reasoning techniques. This maintains a reliable QoS and respects the SLA parameters. The efficiency and effectiveness of the proposed approach is demonstrated in this paper through a simulation and a case study.

Série de publications

NomProceedings - 2017 IEEE 14th International Conference on Services Computing, SCC 2017

Une conférence

Une conférence14th IEEE International Conference on Services Computing, SCC 2017, 14th IEEE International Conference on Services Computing, 24th IEEE International Conference on Web Services, ICWS 2017, 10th IEEE International Conference on Cloud Computing, CLOUD 2017, 6th IEEE International Congress on Big Data, BigData Congress 2017, 6th IEEE International Conference on AI & Mobile Services, AIMS 2017, 2nd IEEE International Congress on Internet of Things, ICIOT 2017, 1st IEEE International Congress on Cognitive Computing, ICCC 2017, 1st IEEE International Conference on Edge Computing, EDGE 2017, and 13th IEEE World Congress on Services, SERVICES 2017)
Pays/TerritoireÉtats-Unis
La villeHonolulu
période25/06/17 → 30/06/17

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