2013 | OriginalPaper | Buchkapitel
Modeling Data Stream Intensity in Distributed Stream Processing System
verfasst von : Marcin Gorawski, Pawel Marks, Michal Gorawski
Erschienen in: Computer Networks
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.