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Long-term SLOs for reclaimed cloud computing resources Carvalho et al. (2014) Christopher Little Motivation Available Capacity CPU Cores Reservation Allocation g Usage Memory Motivation Available Capacity Reservation Allocation CPU

  1. Long-term SLOs for reclaimed cloud computing resources Carvalho et al. (2014) Christopher Little

  2. Motivation Available Capacity CPU Cores Reservation Allocation g Usage Memory

  3. Motivation Available Capacity Reservation Allocation CPU g Usage Memory

  4. Current Approaches Opportunistic Reserved On-Demand 100% Obtainability 99% Obtainability 0% Obtainability Service Level Objectives ( SLO ) 99% Availability 99% Availability 0% Availability

  5. Current Approaches Opportunistic Reserved On-Demand 100% Obtainability 99% Obtainability 0% Obtainability Service Level Objectives ( SLO ) 99.9% Availability 99.9% Availability 0% Availability Economy @ 28-40% Economy @ 6-17% 99% Obtainability 99% Obtainability … 88.7% Availability 98.9% Availability

  8. Making Predictions Methods: - Mean Slack - Minimum Slack - ARIMA - ETS

  9. Making Predictions Methods: - Mean Slack - Minimum Slack - ARIMA - ETS

  10. Results

  11. Results

  12. Profitability

  13. Conclusion There is potential to increase profit by using weak promises.

  14. Evaluation - Not particularly novel contribution - Data analysis and graphs mostly well reported - Though many assumptions in profitability analysis - Some ideas are introduced and then never revisited… - Why 6 months?

  15. Long-term SLOs for reclaimed cloud computing resources Carvalho et al. (2014) Christopher Little

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