UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis

Glenn K. Lockwood, Wucherl Yoo, Suren Byna, Nicholas J. Wright, Shane Snyder, Kevin Harms, Zachary Nault, Philip H. Carns. UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis. In Kathryn Mohror, Brent Welch, editors, Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, PDSW-DISCS@SC 2017, Denver, CO, USA, November 13, 2017. pages 55-60, ACM, 2017. [doi]

Abstract

Abstract is missing.