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Published in:
2013 | OriginalPaper | Chapter
Modeling Data Stream Intensity in Distributed Stream Processing System
Authors : Marcin Gorawski, Pawel Marks, Michal Gorawski
Published in: Computer Networks
Publisher: Springer Berlin Heidelberg
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In recent years energy market has changed. Consumers in many countries are free to buy energy from any of the available providers. This requires continuous reading from a huge number of energy meters to evaluate the amount of energy being bought from a particular provider. In this paper we present a fault-tolerant distributed stream processing system for continuous meter readings. The main goal of the system is to store the readings in a stream data warehouse for further analysis. We focus on modeling of the data stream intensity in order to estimate the size of buffers in a network of components composing the system. We present both the mathematical model of the intensity and the simulation results to prove the correctness of the theoretical analysis.