Cost-Effective Scheduling of Massive Containers in Kubernetes

Cost-Effective Scheduling of Massive Containers in Kubernetes

Linux Foundation via YouTube Direct link

Resource Management: Challenges

4 of 20

4 of 20

Resource Management: Challenges

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Cost-Effective Scheduling of Massive Containers in Kubernetes

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  1. 1 Intro
  2. 2 JD Retail Technological Infrastructure Group
  3. 3 JDOS (JD Data Center OS) Architecture
  4. 4 Resource Management: Challenges
  5. 5 A Typical JDOS Cluster
  6. 6 Bottleneck Analysis and Optimization
  7. 7 Customization and Optimization
  8. 8 Preemption and Admission Control
  9. 9 Group Scheduling and Binding
  10. 10 A Closed Loop System
  11. 11 Advanced Scheduling
  12. 12 Right Sizing of CPU Resource
  13. 13 Resource Usage and Performance Tradeoff
  14. 14 Memory Scheduling for Online Services
  15. 15 Memory Utilization of Online Services
  16. 16 Host Selection Optimization
  17. 17 Mixed Workload Placement
  18. 18 Hybrid Resource Pools
  19. 19 June 18 Anniversary Sale (2019)
  20. 20 Acknowledgements

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