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

本课题对perfSONAR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实用性。perfSONAR系统监测和测量连接科学家与资源和不断增加的数据的网络基础设施。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。虽然它可以确定网络何时运行正常，何时负载较轻或较重，但科学的工作流程尚未提供与汽车驾驶员从汽车导航系统中获得的性能评估相同的水平。该项目校准和量化来自科学数据网络和应用程序的数据，以便为移动科学数据的物流提供合理的预测。这包括可重复条件下的对照实验，以及高性能网络和应用程序的纵向研究。此外，perfSONAR生态系统的规模也在不断扩大，并朝着更可扩展的服务模型发展，用于订阅组件，开发自主配置和管理测量活动。随着perfSONAR系统走出网络操作社区，许多方面的可扩展性都需要解决。

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.