Data Processing and Security

A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis (Presentation)

Liqiang Wang, University of Central Florida

1:00 PM - 2:20 PM

Challenges with Collecting, Anonymizing, Sharing and Using High-Speed Network-Traffic Data (Presentation)

Alastair Nottingham, University of Virginia
Jeff W. Collyer, University of Virginia
Brian E. Root, University of Virginia
Molly Buchanan, University of Virginia
Yizhe Zhang, University of Virginia
Kolia Sadeghi, University of Virginia
Yixin Sun, University of Virginia
Don E. Brown, University of Virginia
Jack W. Davidson, University of Virginia
Malathi Veeraraghavan, University of Virginia

1:00 PM - 2:20 PM

Challenges with Collecting, Anonymizing, Sharing and Using High-Speed Network-Traffic Data (White Paper)

Alastair Nottingham, University of Virginia
Jeff W. Collyer, University of Virginia
Brian E. Root, University of Virginia
Molly Buchanan, University of Virginia
Yizhe Zhang, University of Virginia
Kolia Sadeghi, University of Virginia
Yixin Sun, University of Virginia
Don E. Brown, University of Virginia
Jack W. Davidson, University of Virginia
Malathi Veeraraghavan, University of Virginia

1:00 PM - 2:20 PM

Debugging Bad Performance in Huge Infrastructure: Using ML and AI (Presentation)

Mariam Kiran, ESnet
Anirban Mandal, RENCI
George Papadimitriu, University of Southern California
Cong Wang, RENCI
Ewa Deelman, University of Southern California

1:00 PM - 2:20 PM

Debugging Bad Performance in Huge Infrastructure: Using ML and AI (White Paper)

Mariam Kiran, ESnet
Anirban Mandal, RENCI
George Papadimitriu, University of Southern California
Cong Wag, RENCI
Ewa Deelman, University of Southern California

1:00 PM - 2:20 PM

Deep Learning for Adversarial Attacks in Large Scale Networks (Presentation)

Kaiqi Xiong, University of South Florida

1:00 PM - 2:20 PM

Deep Learning for Adversarial Attacks in Large Scale Networks (White Paper)

Kaiqi Xiong, University of South Florida

1:00 PM - 2:20 PM

Error-bounded Fixed-ratio Lossy Compression for Scientific Data (Presentation)

Jon C. Calhoun, Clemson University
Robert Underwood, Clemson University
Sheng Di, Argonne National Laboratory
Franck Cappello, Argonne National Laboratory

1:00 PM - 2:20 PM

Error-bounded Fixed-ratio Lossy Compression for Scientific Data (White Paper)

Jon Calhoun, Clemson University
Robert Underwood, Clemson University
Sheng Di, Argonne National Laboratory
Franck Cappello, Argonne National Laboratory

1:00 PM - 2:20 PM

Huge Data Analytics with Transparent In-Network Memory Computing (Presentation)

Ling Liu, Georgia Institute of Technology - Main Campus
James Bae, Georgia Institute of Technology - Main Campus
Wenqi Cao, Georgia Institute of Technology - Main Campus
Semih Sahin, Georgia Institute of Technology - Main Campus
Yanzhao Wu, Georgia Institute of Technology - Main Campus
Qi Zhang, Georgia Institute of Technology - Main Campus

1:00 PM - 2:20 PM

Huge Data Analytics with Transparent In-Network Memory Computing (White Paper)

Ling Liu, Georgia Institute of Technology - Main Campus
James Bae, Georgia Institute of Technology - Main Campus
Wenqi Cao, Georgia Institute of Technology - Main Campus
Semhi Sahin, Georgia Institute of Technology - Main Campus
Yanzhao Wu, Georgia Institute of Technology - Main Campus
Qi Zhang, Georgia Institute of Technology - Main Campus

1:00 PM - 2:20 PM

Leveraging Network Programmability and In-network Computing for Streaming Analysis of Huge Data (White Paper)

Joaquin Chung, Argonne National Laboratory
Zhengchun Liu, Argonne National Laboratory
Tekin Bicer, Argonne National Laboratory
Raj Kettimuthu, Argonne National Laboratory
Ian Foster, Argonne National Laboratory

1:00 PM - 2:20 PM

Lossy Compression for Transferring, Storing, Analyzing Huge Scientific Datasets (Presentation)

Sheng Di, Argonne National Laboratory
Franck Cappello, Argonne National Laboratory

1:00 PM - 2:20 PM

Lossy Compression for Transferring, Storing, Analyzing Huge Scientific Datasets (White Paper)

Sheng Di, Argonne National Laboratory
Franck Cappello, Argonne National Laboratory

1:00 PM - 2:20 PM

Multi-Cloud Performance and Security-driven Brokering for Bioinformatics Workflows (White Paper)

Saptarshi Debroy, City University of New York
Prasad Calyam, University of Missouri-Columbia
Trupti Joshi, University of Missouri-Columbia

1:00 PM - 2:20 PM

Multi-Cloud Performance and Security-driven Brokering for Bioinformatics Workflows (Presentation)

Saptarshi Debroy, City University of New York

1:00 PM - 2:20 PM

Optimizing Big Data Applications Using Hybrid Program Analysis (White Paper)

LIqiang Wang, University of Central Florida

1:00 PM - 2:20 PM

Scalable Distributed Machine Learning with Huge Data for IoT and Scientific Discovery (Presentation)

Tony Luo, Missouri University of Science and Technology
Sajal Das, Missouri University of Science and Technology

1:00 PM - 2:20 PM

Scalable Distributed Machine Learning with Huge Data for IoT and Scientific Discovery (White Paper)

Tony Lou, Missouri University of Science and Technology
Sajal K. Das, Missouri University of Science and Technology

1:00 PM - 2:20 PM

STITCH: Orchestrating Sensing-as-a-Service at Scale (Presentation)

Hao Che, University of Texas at Arlington
Hong Jiang, University of Texas at Arlington

1:00 PM - 2:20 PM

STITCH: Orchestrating Sensing-as-a-Service at Scale (White Paper)

Hao Che, University of Texas at Arlington
Hong Jiang, University of Texas at Arlington

1:00 PM - 2:20 PM

Toward a Name-Based, Data-Centric Platform for Scientific Data (Presentation)

Lan Wang, University of Memphis
Lixia Zhang, University of California, Los Angeles

1:00 PM - 2:20 PM

Toward a Name-Based, Data-Centric Platform for Scientific Data (White Papertation)

Lan Wang, University of Memphis
Lixia Zhang, University of California, Los Angeles

1:00 PM - 2:20 PM

Toward Collaborative Networks and Applications (CNA) as a Key Component for Huge Data Networking (White Paper)

Y. Richard Yang, Yale University

1:00 PM - 2:20 PM