A General Methodology to Optimize and Benchmark Edge Devices

Abstract

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1103191

Entities

People

  • Kyle J Smathers

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Network Security
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Cyberattacks
  • Cybersecurity
  • Cyberspace Operations
  • Data Analysis
  • Department Of Defense
  • Graphical User Interface
  • Information Science
  • Intrusion Detection
  • Intrusion Detectors
  • Network Protocols
  • Operating Systems

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Research Science/Academic Research
  • Systems Analysis and Design

Technology Areas

  • Cyber
  • Cyber - Cryptography