Session 1
Chair: Jinoh Kim
9am CDT

Welcome!
    Jinoh Kim

Keynote Presentation
    Dr. Suren Byna, Lawrence Berkeley National Laboratory
    Title: Understanding Parallel I/O Performance and Tuning
(Slides)
    Abstract: Parallel I/O is critical for large-scale applications to store and access data from parallel file systems on high-performance computing (HPC) systems. The parallel I/O stack includes several layers of software libraries – high-level I/O libraries such as HDF5, middleware (MPI-IO), and low-level I/O libraries (POSIX, STD-IO). Each of these layers have complex interdependencies that impact the I/O performance significantly. In this brief abstract, we describe parallel I/O basics, I/O monitoring using various profiling tools, analysis of logs collected on production class supercomputers to identify performance bottlenecks and application of performance tuning options. We will also cover numerous application use cases and performance improvements.

Bio: Dr. Suren Byna is a Senior Scientist in the Scientific Data Management (SDM) Group at Lawrence Berkeley National Laboratory. His research interests are in scalable scientific data management. More specifically, he works on optimizing parallel I/O performance, developing systems for managing scientific data, and supporting scientists to find data of their interest efficiently. He is an author or co-author of more than 150 publications in the high-performance computing area. He is the PI of the ECP funded ExaIO project, and ASCR funded object-centric data management systems (Proactive Data Containers - PDC) and experimental and observational data management (EOD-HDF5) projects.     

Session 2

Chair: Massimo Cafaro
10:20am CDT












(1112)

Redfish-Nagios: A Scalable Out-of-Band Data Center Monitoring Framework Based on Redfish Telemetry Model
(Slides)
    Ghazanfar Ali (Texas Tech University), Jon Hass (Dell EMC, Inc.), Alan Sill, Elham Hojati, Tommy Dang, Yong Chen (Texas Tech University)

Predicting Slow Network Transfers in Scientific Computing
(Slides)
    Robin Shao (Univeresity of California, Berkeley), Jinoh Kim (Texas A&M University, Commerce), Alex Sim, Kesheng Wu (Lawrence Berkeley National Laboratory)

Access Trends of In-network Cache for Scientific Data
(Slides)
    Ruize Han (University of California, Berkeley), Alex Sim, Kesheng Wu (Lawrence Berkeley National Laboratory), Inder Monga, Chin Guok (Energy Sciences Network), Frank Wurthwein, Diego Davila (University of California, San Diego), Justas Balcas, Harvey Newman (California Institute of Technology)

Janus: Lightweight Container Orchestration for High-performance Data Sharing
(Slides)
    Ezra Kissel (Energy Sciences Network)

Session 3

Chair: Eric Chan-Tin
1:30pm CDT








(112)

Predicting Phishing Victimization: Roles of Protective and Vulnerable Strategies and Decision-Making Styles
(Slides)
    Eric Chan-Tin, Loretta Stalans, Spencer Johnston, Daisy Reyes (Loyola University Chicago), Shelia Kennison (Oklahoma State University)

Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
(Slides)
    Julian Bellavita (University of California, Berkeley), Alex Sim, Kesheng Wu (Lawrence Berkeley National Laboratory), Inder Monga, Chin Guok (Energy Sciences Network), Frank Wurthwein, Diego Davila (University of California, San Diego)

The Variable-Weight MADM Algorithm for Wireless Network
(Slides)
    Ning Li, Xin Yuan (Harbin Institute of Technology), Joser Fernan Martinez (Universidad Politécnica de Madrid), Zhaoxin Zhang (Harbin Institute of Technology)

Session 4: Social

3:30pm - 4:30pm CDT

Zoom info: https://lbnl.zoom.us/j/97315527020
Meeting ID: 973 1552 7020
Passcode: only available during the session