An FPGA-based IP core subscription-oriented fog computing platform

Abstract

This paper presents an FPGA-based IP core subscription-oriented fog platform. The application plane of the proposed platform can be dynamically reconfigured and defined remotely. Besides, the proposed platform includes a PUF-based IP core licensing and metering mechanisms to enable application IP core subscription. Thus, the application IP core developer has total controllability over the application plane on the proposed platform as the PUF circuitry is placed within the reconfigurable partition. The proposed platform is implemented and tested experimentally on NetFPGA CML with a time-series anomaly detection analytics as case studies. The proposed platform with hosted analytics utilized < 43 % logic resources in a Kintex 7 FPGA device (XC7K325T-IFFG676). The throughput and latency of implemented FPGA-based time-series anomaly detection analytics are 3096 detections per second and 0.32 ms, respectively, which is more than 61 × speedup over the reference analytics implemented in software. The customized DPR controller is implemented internally within the FPGA device with a reconfiguration time of 15.34 ms.