A regression model trained on synchronized eBPF/perf metrics and PDU power measurements enables fine-grained per-process energy consumption predictions.
Deadline-constrained energy-aware workflow scheduling in geograph- ically distributed cloud data centers
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning Process Energy Profiles from Node-Level Power Data
A regression model trained on synchronized eBPF/perf metrics and PDU power measurements enables fine-grained per-process energy consumption predictions.