Table 6 System performance comparison of the cloud-based electric power enterprise design platform before and after optimization under different scenarios.
From: Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises
Scenario | Metric | Before optimization | After optimization | Improvement (%) |
|---|---|---|---|---|
Normal load | Average task completion time (s) | 8.5 | 4.2 | ↓ 50.6% |
CPU utilization (%) | 55.2 | 76.8 | ↑ 39.1% | |
Memory utilization (%) | 48.7 | 70.3 | ↑ 44.3% | |
High load | Average response latency (ms) | 330 | 140 | ↓ 57.6% |
System throughput (tasks/min) | 820 | 1460 | ↑ 78.0% | |
Service interruptions (times/month) | 4 | 1 | ↓ 75.0% | |
Fault Scenario | Fault recovery time (minutes) | 18 | 6 | ↓ 66.7% |
Task loss rate during fault (%) | 5.2 | 1.1 | ↓ 78.8% | |
Fault-tolerant task rescheduling success rate (%) | 61.4 | 92.6 | ↑ 50.8% | |
Cost Simulation | Monthly total power consumption (kWh) | 12,000 | 8,200 | ↓ 31.7% |
Labor maintenance cost (10,000 CNY/month) | 13.5 | 6.2 | ↓ 54.1% | |
Total cost saving ratio (%) | — | — | Approx. 43.0% |
