A Universal Micro-Server Ecosystem by Exceeding the Energy and Performance Scaling Boundaries

Computer Science

1. Server 100%
2. Workload 62%
3. Energy Efficient 41%
4. Benchmark 29%
5. Connected Device 25%
6. Internet 25%
7. Data Center 20%
8. Server Software 20%
9. Linux 20%
10. Machine Learning 20%
11. Prediction Error 20%
12. Server Hardware 20%
13. Internet of Things 20%
14. Edge Computing 20%
15. Models 17%
16. Hardware 15%
17. Programs 15%
18. Testbed 15%
19. Memory Capacity 13%
20. System Software 10%
21. Computational Load 10%
22. Computing 10%
23. Quality of Service 10%
24. Smartphones 10%
25. Process Data 10%
26. Routers 10%
27. Application 10%
28. System Utilization 10%
29. Memory Location 10%
30. Communication 10%
31. Error Correcting Code 10%
32. Correlation 10%
33. Performance Counter 10%
34. Energy Efficiency 8%
35. Supervised Learning 6%
36. System Availability 6%
37. Temporal Variation 6%
38. Operating Point 6%
39. Operating Point 5%
40. Virtualization Management 5%
41. System Operation 5%
42. Classes 5%
43. Memory Hierarchy 5%
44. Error-correcting code 5%
45. Management Layer 5%
46. Design 5%
47. Resource Management 5%
48. Memory Subsystem 5%
49. Network Bandwidth 5%
50. energy saving 5%
51. Digital System 5%
52. Multilevel Memory 5%