Long-term SLOs for reclaimed cloud computing resources Carvalho et - PowerPoint PPT Presentation

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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

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 g Usage Memory
Current Approaches Opportunistic Reserved On-Demand 100% Obtainability 99% Obtainability 0% Obtainability Service Level Objectives ( SLO ) 99% Availability 99% Availability 0% Availability
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
Making Predictions Methods: - Mean Slack - Minimum Slack - ARIMA - ETS
Making Predictions Methods: - Mean Slack - Minimum Slack - ARIMA - ETS
Results
Results
Profitability
Conclusion There is potential to increase profit by using weak promises.
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?
Long-term SLOs for reclaimed cloud computing resources Carvalho et al. (2014) Christopher Little

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