LightJason Benchmark is an open-source suite designed to evaluate the performance of the LightJason multi-agent framework. It provides customizable test scenarios, measuring throughput, latency, memory usage, and scalability under varied workloads. Integrated with JUnit, it generates detailed reports and charts for performance analysis. Developers and researchers can identify bottlenecks, optimize agent behaviors, and compare algorithmic efficiency seamlessly within CI/CD pipelines.
AI Platforms & Frameworks
Software Testing
Operations Tools
#benchmarking tools
#multi-agent systems
#Performance Testing
#JUnit integration
#load testing
#agent scalability
#customizable scenarios
#CSV reporting
#real-world simulations
#CPU usage metrics
#memory consumption analysis
#performance bottlenecks
#Automated testing
#ci/cd integration
#throughput metrics
#agent response time
#software optimization
#extensible templates
#stress tests
#system evaluation
...
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LightJason Benchmark
LightJason Benchmark is an open-source suite designed to evaluate the performance of the LightJason multi-agent framework. It provides customizable test scenarios, measuring throughput, latency, memory usage, and scalability under varied workloads. Integrated with JUnit, it generates detailed reports and charts for performance analysis. Developers and researchers can identify bottlenecks, optimize agent behaviors, and compare algorithmic efficiency seamlessly within CI/CD pipelines.
AI Platforms & Frameworks
Software Testing
Operations Tools
#benchmarking tools
#multi-agent systems
#Performance Testing
#JUnit integration
#load testing
#agent scalability
#customizable scenarios
#CSV reporting
#real-world simulations
#CPU usage metrics
#memory consumption analysis
#performance bottlenecks
#Automated testing
#ci/cd integration
#throughput metrics
#agent response time
#software optimization
#extensible templates
#stress tests
#system evaluation
...
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What is LightJason Benchmark?
LightJason Benchmark offers a comprehensive set of predefined and customizable scenarios to stress-test and evaluate multi-agent applications built on the LightJason framework. Users can configure agent counts, communication patterns, and environmental parameters to simulate real-world workloads and assess system behavior. Benchmarks gather metrics such as message throughput, agent response times, CPU and memory consumption, logging results to CSV and graphical formats. Its integration with JUnit allows seamless inclusion in automated testing pipelines, enabling regression and performance testing as part of CI/CD workflows. With adjustable settings and extensible scenario templates, the suite helps pinpoint performance bottlenecks, validate scalability claims, and guide architectural optimizations for high-performance, resilient multi-agent systems.
Who will use LightJason Benchmark?
- LightJason framework developers
- Performance engineers and QA testers
- Academic researchers in multi-agent systems
- DevOps teams integrating CI/CD
How to use the LightJason Benchmark?
- Step1: Clone the https://github.com/LightJason/Benchmark repository
- Step2: Import the project into your IDE or build via Maven/Gradle
- Step3: Configure desired benchmark scenarios in the config files
- Step4: Execute benchmarks using the provided JUnit test runners or main classes
- Step5: Collect and review generated CSV logs and charts
- Step6: Integrate benchmark execution into CI/CD pipelines for continuous performance monitoring
Platform
- mac
- windows
- linux
LightJason Benchmark's Core Features & Benefits
The Core Features
- Predefined and customizable benchmark scenarios
- Metrics for throughput, latency, CPU and memory usage
- JUnit integration for automated tests
- CSV and graphical report generation
- Configurable agent counts and communication patterns
The Benefits
- Identify performance bottlenecks quickly
- Optimize agent behaviors and resource usage
- Validate scalability under varied workloads
- Seamless CI/CD pipeline integration
- Extensible templates for custom scenarios
LightJason Benchmark's Main Use Cases & Applications
- Performance regression testing for agent updates
- Comparative analysis of multi-agent algorithms
- Capacity planning and scalability validation
- Continuous performance monitoring in CI/CD
FAQs of LightJason Benchmark
LightJason Benchmark Company Information
LightJason Benchmark Reviews
5/5
LightJason Benchmark's Main Competitors and alternatives?
- Java Microbenchmark Harness (JMH)
- Apache JMeter
- Gatling
- Locust
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