Title :
Semi-autonomous Servers in Wireless Cellular Networks
Author :
Tsiligaridis, John
Author_Institution :
Math. & Comput. Sci., Heritage Univ., Toppenish, WA
fDate :
July 27 2008-Aug. 1 2008
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;
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
DOI :
10.1109/ICCGI.2008.18