Distributed Log Processing System

Student: Gureev Nikita

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2016

The work is dedicated to the distributed processing of log events. In this work we examined the existing system, with the same functionality and presented used algorithms and technologies for the implementation of the system. The aim of the work was to develop a distributed processing system log events. The main technologies that were chosen for the implementation of this system are Apache Kafka and Apache Storm. To determine the load on the system EMA Exponential Smoothing was used. It allows to determine the load on the compute node based on load for the previous periods that are taken into account with exponentially decreasing weights. Using modern technology allows to have a system capable of handling large volumes of data in real-time that divides incoming data into separate streams and their further processing to separate computing nodes. The paper contains 157 pages, 9 formulas, 6 tables, 77 illustrations and 6 appendices. Keywords: distributed system, log processing, Apache Storm, Apache Kafka.

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