CC*IIE Integration: Development and Integration of perfSONAR for End-to End Network Cyberinfrastructure

该项目对PerformSONAR网络测量系统进行了改进，以提高网络性能信息的应用效果和利用率。PerformSONAR系统监控和测量网络网络基础设施，该网络基础设施将科学家与资源和不断增长的数据联系起来。该项目通过校准网络数据并使其可操作，增加了网络遥测对大规模数据应用程序性能的影响。虽然可以确定网络何时运行正确，何时负载轻或重，但科学的工作流程尚未提供汽车司机可以从汽车导航系统获得的相同水平的性能评估。该项目对来自科学数据网络和应用程序的数据进行校准和量化，以便为移动科学数据的后勤提供合理的预测。这包括可重复条件下的受控实验以及与高性能网络和应用程序的纵向研究。此外，还努力按数量级扩展PerformSONAR生态系统，并朝着更具可扩展性的服务模式发展，以订阅组件并开发测量活动的自主配置和管理。随着PerformSONAR系统移出网络运营社区，需要解决可伸缩性的许多方面。

This project enhances the perfSONAR network measurement system to improve the application impact and utility of network performance information. The perfSONAR system monitors and measures the network cyberinfrastructure that connects scientists with resources and ever-increasing data. This project increases the impact of this network telemetry on the performance of large-scale data applications by calibrating network data and making it actionable.While it can be determined when the network is behaving correctly and when it is lightly or heavily loaded, scientific workflows have yet to be provided the same level of performance estimation that car drivers can get from a navigation system in a car. This project calibrates and quantifies data from scientific data networks and applications in order to provide reasonable predictions for the logistics of moving scientific data. This includes controlled experiments under repeatable conditions as well as longitudinal studies with high performance networks and applications.In addition, efforts are made to scale the perfSONAR ecosystem by orders of magnitude, and to move toward a more scalable service model for subscribing components and developing autonomic configuration and management of measurement activities. As the perfSONAR system moves outside the network operations community, many aspects of scalability will need to be addressed.