Server Autonomic Grouping Process for the Wireless Network Environment

Abstract

The problem of server performance in a contemporary, rapidly developed and multi-discipline environment is examined. Multiple requests in a very short time increase the number of connections and push the server to the limit. For autonomous server operations many of the offered services need to be self-managed. A collaborative system involving nodes, base stations (BSs) and servers is developed, as well as a new query processing method based on group and query prediction mobility (GQM) via data mining techniques. Data sources' administration during the execution of the query plan becomes primary interest especially for the starting query server. The proposed server grouping process, server's scale up capabilities and the application of data mining concepts in a wireless environment can contribute a lot to optimize the query plan and increase server independency. Various methods in distributed data exploration and exploitation, supporting server's semi- autonomous operational behavior, are developed. Simulation results are provided.