• DocumentCode
    2447707
  • Title

    Semi-autonomous Servers in Wireless Cellular Networks

  • Author

    Tsiligaridis, John

  • Author_Institution
    Math. & Comput. Sci., Heritage Univ., Toppenish, WA
  • fYear
    2008
  • fDate
    July 27 2008-Aug. 1 2008
  • Firstpage
    234
  • Lastpage
    243
  • Abstract
    An innovative framework for the management of server services at various sites across a communication network is presented. It consists of a better organization of queries´ plan and data allocation to server, considering the group and query mobility along with the dependency of servers. Nowadays servers´ ability to work semi autonomously, in regards to the decision of the appropriate query plan and the provision of the effective data location, plays a significant role to the query and network performance. Our objective is to minimize the communication and execution cost of the query plan for the dependent servers (when the query can not be completed in the starting servers) servers having query and group mobility. Data Mining methods are applied to reduce the dependent servers´ external queries. A set of direct executing methods for starting the query server enforces the semi-autonomous server process. Simulation results are provided.
  • Keywords
    cellular radio; computer network management; data mining; mobile computing; network servers; communication network; data allocation; data mining methods; management server services; query mobility; query server; semi-autonomous servers; wireless cellular networks; Computer networks; Costs; Data mining; Delay; File servers; Information technology; Itemsets; Land mobile radio cellular systems; Network servers; Query processing; Autonomic Computing; Collaborative Systems; Data Mining; Mobile Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in the Global Information Technology, 2008. ICCGI '08. The Third International Multi-Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-3275-2
  • Electronic_ISBN
    978-0-7695-3275-2
  • Type

    conf

  • DOI
    10.1109/ICCGI.2008.18
  • Filename
    4591374