• DocumentCode
    251769
  • Title

    Role-Based Templates for Cloud Monitoring

  • Author

    The An Binh Nguyen ; Siebenhaar, Melanie ; Hans, Ronny ; Steinmetz, Ralf

  • Author_Institution
    Multimedia Commun. Lab. (KOM), Tech. Univ. Darmstadt, Darmstadt, Germany
  • fYear
    2014
  • fDate
    8-11 Dec. 2014
  • Firstpage
    242
  • Lastpage
    250
  • Abstract
    Cloud computing has evolved in the recent years to a well established computing paradigm. With this evolution, the complexity and requirements for monitoring cloud-based services have also increased. Without a doubt, monitoring for cloud computing is a crucial task which has been addressed in a number of research works. However, monitoring for cloud computing is often designed to be carried out by cloud providers. Monitoring by cloud providers on the one hand offers the flexibility and full control required for monitoring, on the other hand, the trustworthiness of the cloud provider is often questioned. In this work, we present a generic approach that can harmonize both of the aforementioned issues. Our solution abstracts from the complexity by using role-based templates for monitoring in combination with autonomous agents, thus, this approach can be used by both, cloud consumers and cloud providers. With a proof of concept prototype, we show that our approach can be adapted for large scale cloud monitoring scenarios. Furthermore, we discuss the possibility that our monitoring solution can be extended to be applicable for different domains.
  • Keywords
    cloud computing; cloud computing paradigm; cloud consumers; cloud providers; cloud-based service monitoring; large scale cloud monitoring scenarios; role-based templates; Cloud computing; Complexity theory; Computational modeling; Computer architecture; Measurement; Monitoring; Sensors; Adaptive Monitoring; Architectural Model; Cloud Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/UCC.2014.33
  • Filename
    7027500