Evaluates the energy proportionality and power efficiency of enterprise server subsystems under varying PHP-based e-commerce web workloads. It measures how power consumption scales with session load and identifies non-proportional power draw in uncore components. Use when the user wants to benchmark on SPECweb2009, or asks about evaluating this task. Reports watts.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add qhjqhj00/research-skills-pool --skill specweb-eval --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Specweb Eval?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/qhjqhj00-specweb-eval)More formats (shields.io, HTML) on the badges page.
---
name: specweb-eval
description: Evaluates the energy proportionality and power efficiency of enterprise server subsystems under varying PHP-based e-commerce web workloads. It measures how power consumption scales with session load and identifies non-proportional power draw in uncore components. Use when the user wants to benchmark on SPECweb2009, or asks about evaluating this task. Reports watts.
metadata:
skill_kind: dataset_eval
source_arxiv: 1501.02724
bibtex_key: subramaniam2015towards
confidence: high
---
# specweb-eval
> Towards Energy-Proportional Computing Using Subsystem-Level Power Management — Subramaniam and Feng (2015) (arXiv:1501.02724, 2015)
## What this evaluates
Evaluates the energy proportionality and power efficiency of enterprise server subsystems under varying PHP-based e-commerce web workloads. It measures how power consumption scales with session load and identifies non-proportional power draw in uncore components.
## Datasets
- **SPECweb2009** — total ?; splits: test (-1)
## Metrics
- `watts` **(primary)** — range: watts
- Measured directly using a Yokogawa WT210 power meter at the system level. Reported at idle and at 100% load-level (target 13,000 SUS).
## Input / output format
**Input**: System Under Test (Intel Xeon E5-2665, 256 GB RAM, Linux 3.2.0) running Apache PHP Ecommerce workload, with data loaded into RAMFS to minimize disk I/O.
**Output**: Power consumption readings in watts, throughput in SUS, and response time compliance (95% < 3s, 99% < 5s).
## Scoring recipe
```python
power_idle = measure_power()
power_peak = measure_power_at_load(100)
throughput = get_throughput() # SUS
rt_compliance = check_response_times(thresholds=[3s, 5s], percentiles=[0.95, 0.99])
return power_idle, power_peak, throughput, rt_compliance
```
## Common pitfalls
- Uncore subsystem power remains constant regardless of workload load, skewing energy proportionality calculations if only core power is considered.
- Idle power consumption is significant (36–55% of peak), contradicting assumptions of near-zero idle power in traditional servers.
- Disk I/O must be eliminated (using RAMFS) to isolate processor and memory power management effects.
## Evidence (verbatim from paper)
> In case of SPECweb, the system consumes 54.88% of peak power when idling.
## Citation
```bibtex
@misc{subramaniam2015towards,
title={Towards Energy-Proportional Computing Using Subsystem-Level Power Management},
author={Subramaniam and Feng (2015)},
year={2015},
note={arXiv:1501.02724}
}
```
- arXiv: 1501.02724
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!