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GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Kazumasa Ikeuchi, Janaka Wijekoon, Shinichi Ishida, Hiroaki Nishi
Nishi Laboratory, Graduate School of Science and Technology, Keio University, Japan
The 2013 International Conference on Parallel and Distributed, Processing Techniques and Applications (PDPTA’13), 2013

@inproceedings{ikeuchi2013gpu,

   title={GPU-based Multi-stream Analyzer on Application Layer for Service-Oriented Router},

   author={Ikeuchi, Kazumasa and Wijekoon, Janaka and Ishida, Shinichi and Nishi, Hiroaki},

   booktitle={Embedded Multicore Socs (MCSoC), 2013 IEEE 7th International Symposium on},

   pages={171–176},

   year={2013},

   organization={IEEE}

}

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Service-oriented router (SoR) is a new router architecture for providing rich services to Internet users by utilizing useful information extracted from network traffic. In SoR, stream reconstruction and selection is a fundamental process for providing the services in the application layer. After real-time reconstruction of stream data, SoR used a software character string analyzer to extract important required information. One of the promised services is a router-level network intrusion detection system. Because a network consists of hundreds of thousands of data streams, achieving an intended throughput while analyzing these stream data is a critical problem. We propose an acceleration method of string matching based on a heterogeneous system consisting of a CPU and a graphics processing unit. In addition, we designed and implemented a task controller that improves the distribution of POSIX-thread-based processes so that string matching can be performed concurrently depending on the status of the string matching system.
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