How do you test throughput in MAS?

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🔹 Steps to Test Throughput in MAS

1. Define Throughput Metrics

• Message throughput: Number of messages exchanged per second.

• Task throughput: Number of tasks completed per second/minute.

• Transaction throughput: Number of successful negotiations or agreements per second.

2. Simulate Workload

• Generate different levels of agent activity:

  • Few agents with light communication.

  • Many agents with heavy communication.

• Example: In a trading MAS, simulate 100 → 1,000 → 10,000 trades per second.

3. Instrument Agents

• Add logging/timestamping to measure:

  • Message send time.

  • Message receive time.

  • Task completion time.

• Collect these in a monitoring system or database.

4. Load & Stress Testing Tools

• Use MAS frameworks (e.g., JADE, SPADE) with built-in profiling.

• For network-heavy MAS: tools like JMeter, Locust, or custom scripts to simulate agent messages.

5. Measure System Capacity

• Record:

  • Peak throughput (max before errors/slowdowns).

  • Sustainable throughput (stable performance).

  • Failure rate (dropped messages, missed tasks).

• Check bottlenecks (CPU, memory, bandwidth).

6. Analyze Trade-offs

• Throughput often conflicts with latency (higher throughput = slower per-message response).

• Monitor 95th/99th percentile latency to ensure quality of service.

🔹 Example Scenario

In a smart grid MAS, each household agent reports energy usage every second:

• At 100 agents → system processes 100 messages/sec smoothly.

• At 5,000 agents → throughput drops, and 10% of messages are delayed.

• Conclusion: The MAS’s sustainable throughput is ~3,500 messages/sec.

✅ In summary:
To test throughput in MAS, you simulate workloads, instrument agents for logging, measure messages/tasks per second, identify bottlenecks, and analyze scalability. This ensures the MAS can handle real-world demands without breakdown.

Read more :

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