Server Autonomic Grouping Process for the Wireless Network Environment

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.