Distributed data processing method for extracting knowledge

Abstract

Distributed computing presents one of the most efficient data processing and storage methods. Examples of applications and development of distributed computing can be mentioned as Cloud Computing and Big Data, which offer a set of services and computing applications, access to information and data storage. The research aims to develop a distributed data processing method for data located on a set of servers using mobile program codes that are teleported from Users (Agents) to the Server, where large amounts of data are stored (Big Data), to extract the necessary information or knowledge.