• DocumentCode
    173022
  • Title

    Federating Web-Based Applications on a Hierarchical Cloud

  • Author

    Dan Han ; Stroulia, E.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    946
  • Lastpage
    947
  • Abstract
    Cloud-based infrastructures enable applications to collect and analyze massive amounts of data. Sometimes these applications are the product of green-field engineering, but frequently they are the product of the evolution of traditional RDBMS-based implementations. In any case, NoSQL databases, endowed with high availability, elasticity and scalability through their easy deployment on cloud-computing platforms, have become an attractive data-storage solution for these big-data applications. Unfortunately, to date, there is little methodological and tool support for migrating existing applications to these new platforms. In this paper, we describe a hybrid architecture for location-aware applications on hierarchical cloud, a methodology for mapping relational (including spatio-temporal) data to HBase, and a process for migrating legacy applications to the new architecture.
  • Keywords
    Big Data; cloud computing; database management systems; mobile computing; HBase; NoSQL database; Web-based applications; big-data; data migration; hierarchical cloud; hybrid architecture; legacy applications migration process; location-aware applications; relational data mapping; Aggregates; Availability; Cloud computing; Computer architecture; Data warehouses; Scalability; Servers; Data Aggregation; Data Migration; Geospatial Applications; Hadoop; Hierarchical Cloud; Oozie; Sqoop;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.136
  • Filename
    6973842