Ekya - Continuous Learning of Video Analytics Models on Edge Compute Servers

Ekya - Continuous Learning of Video Analytics Models on Edge Compute Servers

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Evaluation

15 of 16

15 of 16

Evaluation

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Ekya - Continuous Learning of Video Analytics Models on Edge Compute Servers

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  1. 1 Intro
  2. 2 Video data is everywhere
  3. 3 Why video analytics at the edge?
  4. 4 Edge Video Analytics Setup
  5. 5 The cost of continuous learning
  6. 6 Resource demands of continuous learn
  7. 7 Summary thus far
  8. 8 Scheduling decisions to make
  9. 9 Working Example
  10. 10 Example - Fair Scheduler
  11. 11 Example - a smarter schedule
  12. 12 Key Takeaways
  13. 13 Ekya Design
  14. 14 Ekya Thief Scheduler Goal: Maximize mean inference accuracy across all jobs
  15. 15 Evaluation
  16. 16 Scaling with increasing video streams

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