Table 3 Testbed Description.

From: IPP-DMS: A scalable privacy-preserving data management system for secure and efficient handling of large-scale datasets

Component

Details

Hardware

5 compute nodes, each with 16 vCPUs, 64 GB RAM, and 2 TB storage (SSD)

Client Machines

16 GB RAM to simulate healthcare providers accessing data

Network

1 Gbps LAN, star topology, TLS/SSL encryption, simulated latency

Dataset Sizes

500,000 medical images (1.5 TB), 100 GB metadata (NIH Chest X-ray, TCIA)

Transaction Data

284,807 credit card transactions, 31 anonymized features (~ 100 MB)

Workload Generator

Poisson distribution (100 requests/min), batch requests

Arrival Processes

Poisson process for request simulation, batch data requests

Caching

LRU caching, 10 GB capacity, cache hit rate tracking

Metrics Tracked

Authentication time, access delay, anomaly detection accuracy, throughput, cache hit rate

Measurement Tools

Prometheus (monitoring), Grafana (visualization), Python (logging & analysis)

Statistical Tests

Paired t-tests for comparisons, 95% Confidence Intervals (CIs), 5–10 runs

Experiment Runs

5–10 runs per configuration for consistency in results