LSPERF14-BP01 Conduct performance benchmarking across geographic research hubs

Develop comprehensive performance testing across research hubs to establish baselines and find regional bottlenecks. Monitor key metrics like latency, throughput, packet loss, and jitter under simulated research workloads. Create geographic heat maps showing areas needing improved delivery capabilities. Test using actual research data types including genomic files, high resolution images, and complex models. Set up ongoing performance monitoring to track improvements and detect new issues as global research collaboration patterns change.

Desired outcome: You have a comprehensive performance testing and monitoring system that provides real-time visibility into research network performance across geographic locations. This enables proactive optimization of data transfers and provides consistent application performance for global research collaboration.

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

Define key performance indicators including latency, throughput, and response times. Create a framework specifying testing frequencies and thresholds for research data types and collaboration scenarios. Deploy test endpoints across research hubs and implement automated testing scripts for continuous evaluation of network performance, data transfers, and application responsiveness.

Document region-specific performance metrics, including latency patterns, bandwidth utilization, and inter-hub connectivity. Create heat maps highlighting bottlenecks and areas needing optimization. Establish monitoring systems with alerting thresholds to quickly identify and address performance issues across the research network.

Design testing scenarios reflecting real research workflows, including genomic data transfers and collaboration sessions. Implement testing for file operations and data synchronization. Focus on measuring application performance across research tools to provide a consistent user experience globally.

Deploy monitoring dashboards for real-time performance visibility. Configure automated alerts for performance issues and system health. Maintain regular review cycles including weekly assessments and monthly trend analysis for continuous improvement.

Implementation steps