• DocumentCode
    1791759
  • Title

    Taking an electronic ticketing system to the cloud: Design and discussion

  • Author

    Araujo, Filipe ; Curado, Marilia ; Furtado, Pedro ; Barbosa, Ramiro

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Coimbra, Coimbra, Portugal
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    In this paper we address the challenge of creating an electronic ticketing system for transportation systems that can partially or completely run on the cloud. This challenge is defined within the scope of an industrial project. The resulting system should be able to reach a large spectrum of customers and should provide two key advantages: lower operational costs, especially for small clients without IT departments, and faster execution of queries for monthly or other sorts of analysis, using the elasticity of cloud-based resources. To fulfill the goals of the project, we propose very standard technologies and procedures: a three-tiered architecture; a separation of the online and analysis databases; and an Enterprise Service Bus to get the input from very diverse hardware and software stacks. In this paper we discuss several options regarding the location of these facilities on the cloud and we also evaluate the costs involved. While this work already defines many features of the system, it must be considered as preliminary, as some open details remain for future work.
  • Keywords
    cloud computing; financial data processing; transportation; analysis database; cloud-based resources; electronic ticketing system; enterprise service bus; hardware stack; industrial project; online database; software stack; three-tiered architecture; transportation systems; Cloud computing; Companies; Databases; Hardware; Security; Servers; Transportation; Cloud computing; Electronic ticketing systems; Transportation systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004438
  • Filename
    7004438