• DocumentCode
    3357149
  • Title

    Achieving high performance web applications by service and database replications at edge servers

  • Author

    Hao, Wei ; Fu, Jicheng ; Yen, I-Ling ; Xia, Zhonghang

  • Author_Institution
    Dept. of Comput. Sci., Northern Kentucky Univ., KY, USA
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    153
  • Lastpage
    160
  • Abstract
    Edge server replication is an effective solution to achieve high performance in dynamic web applications, such as Web services. Many Web services involve frequent accesses to large-scale backend databases. Current database replication techniques are not directly applicable to edge server architectures. There is no algorithm to dynamically and automatically select the tables for replication. Also, most of the solutions do not consider the potentially limited disk sizes at the edge servers and the needs for them to serve many application sites. In this paper, we present a novel weighted table graph based database replication approach for edge servers to address these problems. Every step in our approach is based on quantitative computation, so it can generate an accurate result. Experimental studies show that our database replication approach significantly improves the performance of Web systems in terms of client response latency, Web application server off loading, and network bandwidth saving.
  • Keywords
    Web services; graph theory; replicated databases; Web application server off loading; Web services; client response latency; database replications; edge server replication; high performance Web applications; large-scale backend databases; network bandwidth saving; service replications; weighted table graph; Application software; Computer science; Databases; Delay; Large-scale systems; Logic; Network servers; Query processing; Testing; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2009 IEEE 28th International
  • Conference_Location
    Scottsdale, AZ
  • ISSN
    1097-2641
  • Print_ISBN
    978-1-4244-5737-3
  • Type

    conf

  • DOI
    10.1109/PCCC.2009.5403812
  • Filename
    5403812