• DocumentCode
    2960686
  • Title

    Heterogeneous cloud systems monitoring using semantic and linked data technologies

  • Author

    Portosa, Alessandro ; Rafique, M. Mustafa ; Kotoulas, Spyros ; Foschini, Luca ; Corradi, Antonio

  • Author_Institution
    Dipt. di Inf. - Scienza e Ing. (DISI), Univ. of Bologna, Bologna, Italy
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    497
  • Lastpage
    503
  • Abstract
    Cloud businesses need comprehensive visibility on hardware and software components, their utilization and their configuration. In addition, they need to integrate such information with their asset management systems and publicly available information such as hardware specifications. In this paper, we present an approach for cloud management and monitoring based on a semantic layer that unifies different interfaces and representations, and makes all relevant information accessible from a single point. We show a proof-of-concept based on OpenStack and Linked Data technologies and evaluate it in terms of overhead, query execution times, and effectiveness in the data gathering phase. Our findings indicate that a semantics-based approach is indeed feasible and advantageous for providing uniform access across different cloud environments and levels.
  • Keywords
    cloud computing; distributed databases; semantic Web; OpenStack; asset management systems; cloud businesses; cloud environments; cloud management; cloud monitoring; comprehensive visibility; data gathering phase; hardware components; hardware specifications; heterogeneous cloud systems monitoring; linked data technologies; overhead evaluation; query execution times; semantic Web; semantic layer; semantic technologies; semantics-based approach; software components; Computer architecture; Hardware; Measurement; Monitoring; Resource description framework; Semantics; Servers; ∗ as a Service (∗aaS); Cloud computing; linked data; monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/INM.2015.7140328
  • Filename
    7140328