• DocumentCode
    3530337
  • Title

    Automatic Monitor Generation for Cloud Services

  • Author

    Di Domenico, Davide ; Moscato, Francesco

  • Author_Institution
    Ansaldo STS, Naples, Italy
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    547
  • Lastpage
    552
  • Abstract
    Cloud Systems arose in the last years as a standard de-facto in IT enterprises for offering practically any kind of services to worldwide users. They provide means for realizing and distributing everything-as-a-service, including infrastructures, hardware and software platforms and services. So, composition, analysis and validation of Cloud services are open research challenges. In this work, we describe a Modeling Profile that enables Model Driven Engineering (MDE) analysis of systems and requirements verification of Cloud-based services. The verification process exploits formal methods during the whole life cycle of services. In particular we show the application of the MDE technique to automatic generation of monitors for properties verification and prediction of behaviours of composite services at run time.
  • Keywords
    DP management; cloud computing; program verification; IT enterprises; MDE analysis; automatic monitor generation; behaviour prediction; cloud infrastructures; cloud service analysis; cloud service composition; cloud service validation; cloud systems; composite services; everything-as-a-service; formal methods; hardware platform; model driven engineering analysis; modeling profile; requirements verification; service life cycle; software platform; Algorithm design and analysis; Analytical models; Measurement; Monitoring; Observers; Time factors; Unified modeling language; Cloud; Formal Methods; Model Driven Engineering; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.81
  • Filename
    7185246