This thesis describes development of application for analyzing IP flow data.    The author conducts relative comparison of already existing protocols and tools and studies theirs pro's and con's.    Based on this comparison and features requested by users,    author develops his own application primarly focused on interactive and user-friendly interface for working with IP flow data.

The Master's Thesis presents a theoretical introduction, familiarization with the issue and a implementation for a solution of a "network parameter validation" tool, which is founded on principle of network traffic monitoring. Firstly, the current development of computer network setup is analyzed with its limitations. This is an initial point for an introduction of a new approach for implementation and verification of required network setting, which uses techniques of verification, simulation and validation. After the introduction into the context, validation techniques are specifically examined. The Thesis main contribution lies in the capacity to determine appropriate parameters, which can be used for validation and also for implementation of the tool, which ensures validation process. The network traffic, which characterizes the behavior of the network, is collected by NetFlow technology, which generates network flows. These flows are consequently used by the designed tool used for validation of required network parameters. This process overall verifies whether the main computer network requirements have been met or not.

This diploma thesis deals with design and implementation of NetFlow data manipulation tool. It contains analysis of IP Flow network monitoring, description of nfdump tool and format of Netflow v9 records saved by nfdump. The focus of this application interface lies in effective manipulation with NetFlow records.

This thesis deals with the subject of distributed processing of IP flow. Main goal is to provide an implementation of a software collector which allows storing and processing huge amount of a network data in particular. There was studied an open-source implementation of a framework for the distributed processing of large data sets called Hadoop, which is based on MapReduce paradigm. There were made some experiments with this system which provided the comparison with the current systems and shown weaknesses of this framework. Based on this knowledge there was created a specification and scheme for an extension of current software collector within this work. In terms of the created scheme there was created an implementation of query framework for formed collector, which is considered as most critical in the field of distributed processing of IP flow data. Results of experiments with created implementation show significant performance growth and ability of linear scalability with some types of queries.