• DocumentCode
    3763549
  • Title

    The analysis of Automated HTML5 Offline Services (AHOS)

  • Author

    Zulkifli Tahir;Tsutomu Inamoto;Yoshinobu Higami;Shinya Kobayashi

  • Author_Institution
    Department of Electrical Engineering, Hasanuddin University, Makassar, Indonesia
  • fYear
    2015
  • Firstpage
    62
  • Lastpage
    66
  • Abstract
    The traditional Web-based applications operate only when connected to the network. Many realities in a field require a Web-based application that is applicable even in case of offline. We have proposed the Automated HTML5 Offline Service (AHOS), presented as the integration of advanced services, developing with HTML5 Application Programming Interfaces (APIs) to provide Web-based applications with the ability to work offline. When the AHOS Web-based application visits at the Web server for the first time, the Web server will notify the application the list of files required to be downloaded. Then after being downloaded, the Web application can work successfully and continuously even though the network connection from the client to the server is unavailable. Moreover, if the connection to the server is re-connected, any changes that have been made during offline will be automatically uploaded. The present study describes the requirements and implementation stages of AHOS concept for Web-based applications. Several current status and challenges of AHOS concept are also explained. The performance analyses of the AHOS concept are performed in a case of Web-based maintenance Decision Support System (DSS) for Small and Medium Industries (SMIs). The results of the study are very useful in providing in-depth understanding of the advantages and limitations, and as the future directions in applying this AHOS concept to other Web-based applications.
  • Keywords
    "Browsers","Databases","Maintenance engineering","Decision support systems","Web servers","HTML"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIIBMS.2015.7439480
  • Filename
    7439480