• DocumentCode
    3337566
  • Title

    A Novel PSO-MP Approach for Database Replications at Edge Servers

  • Author

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

  • Author_Institution
    Northern Kentucky Univ., Highland Heights, KY
  • Volume
    2
  • fYear
    2008
  • fDate
    3-5 Nov. 2008
  • Firstpage
    291
  • Lastpage
    298
  • Abstract
    Edge server replication is an effective solution to achieve high performance in dynamic Web applications, such as Web services. It can replicate the application logic and the data close to the clients to reduce the response latency and network traffic and to offload the servers. Many Web services involve frequent accesses to large-scale backend databases. Current database replication techniques are not directly applicable to edge server architectures. 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 database replication approach, PSO-MP, for edge servers to address the problems. Experimental studies show that the PSO-MP approach significantly improves the performance of Web systems in terms of client response latency, Web application server offloading, and network bandwidth saving.
  • Keywords
    Web services; client-server systems; particle swarm optimisation; replicated databases; Web service; application logic; database replication; dynamic Web application; edge server replication; large-scale backend database; particle swarm optimisation-mixed partitioning approach; Artificial intelligence; Containers; Costs; Databases; Delay; Network servers; Partitioning algorithms; System performance; Telecommunication traffic; Web services; Database Replication; Dynamic Web Caching; Edge Server; Table partitioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
  • Conference_Location
    Dayton, OH
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3440-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2008.89
  • Filename
    4669788