A General Methodology to Optimize and Benchmark Edge Devices
Technical Report,01 Sep 2018,26 Mar 2020
AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH WRIGHT-PATTERSON AFB United States
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A macro level methodology is proposed that iteratively benchmarks and optimizes specific workloads on edge devices. With automation provided by Ansible, a multi stage 2k full factorial experiment and robust analysis process ensures the test workload is maximizing the use of available resources before establishing a final benchmark score. By framing the validation tests with a family of network security monitoring applications an end to end scenario fully exercises and validates the developed process. This also provides an additional vector for future research in the realm of network security. The analysis of the results show the developed process met its original design goals and intentions, with the added fact that the latest edge devices like the XAVIER, TX2 and RPi4 can easily perform as a edge network sensor.
- Computer Systems Management and Standards