Efficient pipelined flow classification for intelligent data processing in IoT |
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Authors: | Seyed Navid Mousavi Fengping Chen Mahdi Abbasi Mohammad R Khosravi Milad Rafiee |
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Affiliation: | 1. Department of Computer Engineering, Engineering Faculty, Bu-Ali Sina University, Hamedan, Iran;2. Shandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Shouguang, 262700, China;3. Telecommunications Group, Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran |
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Abstract: | The packet classification is a fundamental process in provisioning security and quality of service for many intelligent network-embedded systems running in the Internet of Things (IoT). In recent years, researchers have tried to develop hardware-based solutions for the classification of Internet packets. Due to higher throughput and shorter delays, these solutions are considered as a major key to improving the quality of services. Most of these efforts have attempted to implement a software algorithm on the FPGA to reduce the processing time and enhance the throughput. The proposed architectures, however, cannot reach a compromise among power consumption, memory usage, and throughput rate. In view of this, the architecture proposed in this paper contains a pipeline-based micro-core that is used in network processors to classify packets. To this end, three architectures have been implemented using the proposed micro-core. The first architecture performs parallel classification based on header fields. The second one classifies packets in a serial manner. The last architecture is the pipeline-based classifier, which can increase performance by nine times. The proposed architectures have been implemented on an FPGA chip. The results are indicative of a reduction in memory usage as well as an increase in speedup and throughput. The architecture has a power consumption of is 1.294w, and its throughput with a frequency of 233 ?MHz exceeds 147 Gbps. |
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Keywords: | Efficiency Intelligent flow processing IoT Packet classification Pipeline |
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