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Towards a Complete Data Management Framework Based on Intelligent Agents

Applications are more and more complex and the volume of information has an exponentially growth nowadays. In these conditions a huge amount of information needs to be processed while the processing time and power should be kept to a minimum. The increasing amount of data transferred over the Internet and other networks, which are open to a big number of clients, was reflected in the growth of the distributed information systems. Also, there are a multitude of servers distributed among remote locations, which are serving the same purposes. In such cases, traditional models of distributed computing, caching, concurrency control, e.g. are inappropriate in overcoming the actual efficiency problems and in supporting the development of complex applications. We believe that intelligent and autonomous agents can solve this problem. This paper opens the research for creating a complete data management intelligent agent based framework. The possible areas that can be handled using agents are identified and discussed together with the required agents and agencies, while attempting to provide a bird’s eye architectural view of the proposed