Abstract
In recent years there is a huge increase in real-time data, which cannot be processed efficiently. Complex event processing has become a very important method to get meaningful information. However, supporting complex event detection in multiple sources environments is a challenging problem. To allow for inferring high level information from vast amounts of continuous arriving data. In this paper, we present a complex event processing system based on a novel distributed computing platform Storm, which goes further than distributing queries and achieves better scalability by parallelizing event detection, and also higher efficiency through the use of some optimizations. The experimental shows that the event processing system is effective and better scalability.
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Acknowledgments
This project is sponsored by Hunan Provincial Natural Science Foundation of China “Context-aware and proactive complex event processing for large scale internet of things (13JJ3046)” and supported by the “complex event processing in large scale internet of things (K120326-11)” project of Changsha technological plan.
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Liu, S., Wang, Y., Peng, S., Zhang, X. (2014). High Efficient Complex Event Processing Based on Storm. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_77
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DOI: https://doi.org/10.1007/978-3-319-00536-2_77
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