Chris Rapier

Senior Research Programmer



Hi there! Over my 22 year career at PSC I have largely focused on issues related to the performance, monitoring, and diagnosis of data transport over high speed networks. I approach this from multiple angles including how applications interact with the network, analysis of network and TCP stack metrics, and OS/stack interactions. Current areas of research include developing a machine learning analysis approach to the automatic identification of sub-optimal bulk TCP flows using extended TCP stack metrics. The end goal of all my work is to improve the way in which networks support the process of scientific discovery. I also like cats and making my own cured meats. Draw whatever relationship between the two you like.

Previous projects include HPN-SSH, Web10g, TestRig, and XSight.

I am a relatively frequent speaker at conferences such as Internet2’s Tech Ex and Global Summit.