• DocumentCode
    166518
  • Title

    Towards a Multi-tenancy Aware Cloud Service Composition

  • Author

    Sellami, Wael ; Kacem, Hatem Hadj ; Kacem, Ahmed Hadj

  • Author_Institution
    ReDCAD Lab., Univ. of Sfax, Sfax, Tunisia
  • fYear
    2014
  • fDate
    13-16 May 2014
  • Firstpage
    404
  • Lastpage
    409
  • Abstract
    Cloud computing has gained a momentum by combining multi-tenant and scalable services in order to obtain a composed service and some added value. Therefore, it is important for composed cloud services to support multi-tenancy during the services matching. For this purpose, we tackle the problem of integrating multi-tenancy in cloud services composition and we determine crucial issues that can be solved. To do this, we propose a multi-tenant aware services composition approach to facilitate the dynamic services matching at run-time. This research is based on service patterns which are used within the composition process for integrating multi-tenancy architecture and reducing the difficulty of cloud services matching. Furthermore, we propose a middleware layer (Composition as a Service) for implementing our approach into conventional cloud architecture. The performed evaluation proves the efficiency of our approach for services based applications in the cloud computing.
  • Keywords
    cloud computing; middleware; cloud computing; composition as a service; dynamic services matching; middleware layer; multitenancy architecture; multitenancy aware cloud service composition; scalable services; service pattern; Business; Cloud computing; Computer architecture; Pattern matching; Semantics; Cloud service composition; Multi-tenancy awareness; PaaS; Service Patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    978-1-4799-2652-7
  • Type

    conf

  • DOI
    10.1109/WAINA.2014.71
  • Filename
    6844671