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Stream 2016

Final Report

Stream 2016 was March 22-23, 2016 in Washington DC. The purpose of this meeting was to follow up on issues identified in STREAM2015 and also covered data from scientific instruments of interest to the Department of Energy.

Registration information, meeting logistics, and additional details can be found at: http://www.orau.gov/streaming2016

Call for White Papers STREAM2016

Data streaming from on-line instruments, large scale simulations, and distributed sensors such as those found in transportation systems and urban environments point to the growing interest and important role of streaming data and related real-time steering and control. As part of a two part workshop series, we are organizing STREAM2016 to identify application and technology communities in this area and to clarify challenges that they face.

The report of the first workshop in the series (STREAM2015) held in October 2015 can be found at: http://streamingsystems.org/finalreport.html STREAM2016 followed from STREAM2015 and focused on the features, requirements and challenges of DOE applications and the hardware and software systems needed to support them.

STREAM2016 was held March 22-23, 2016 in Washington DC. The purpose of this meeting was to follow up on issues identified in STREAM2015 and will also cover data from scientific domains of interest to the Department of Energy.

Members of the community were invited to submit a 1-2 page White Paper/Statement of Interest in areas of relevance to STREAM2016's scope and objectives including issues raised in STREAM2015. Participants were selected based upon relevance of submissions as well as strategic balance of expertise. White papers were due by February 21 and were to be sent to Sophia Pasadis (spasadis@lbl.gov).

STREAM2015 and STREAM2016 are made possible by support from the National Science Foundation (Division of Advanced Cyberinfrastructure), Department of Energy (Advanced Scientific Computing Research) and Air Force Office of Scientific Research (AFOSR)

Geoffrey Fox (Indiana) gcf@indiana.edu
Shantenu Jha (Rutgers) shantenu.jha@rutgers.edu
Lavanya Ramakrishnan (LBL) lramakrishnan@lbl.gov

Meeting Materials:

Speakers Slides White Paper
Gagan Agrawal Can Commercial BigData Ideas Benefit Analysis of Instrument Data? Can Commercial BigData Ideas Benefit Analysis of Instrument Data?
Mohsen Amini HLSAAS: HIGH-LEVEL LIVE VIDEO STREAMING AS A SERVICE HLSAAS: HIGH-LEVEL LIVE VIDEO STREAMING AS A SERVICE
Roger Barga   Moving Towards Streaming-Data Analysis
Jack B. Dennis Programming Model and Architecture for Real Time Streaming Programming Model and Architecture for Real Time Streaming
Chen Ding Timescale Stream Statistics for Hierarchical Management Timescale Stream Statistics for Hierarchical Management
Salman Habib Streaming Data in Cosmology
Marty Humphrey Leveraging Public Clouds for DOE Environmental Streaming Data Leveraging Public Clouds for DOE Environmental Streaming Data
Geoffrey Fox, Supun Kamburugamuve WebPlotViz: Browser Visualization of High Dimensional Streaming Data with HTML5 WebPlotViz: Browser Visualization of High Dimensional Streaming Data with HTML5
Dimitrios Katramatos Streaming Data Analysis on the Wire Streaming Data Analysis on the Wire
Darren J. Kerbyson Processing Large Scale Streaming Data from High Energy Physics Workflows
Raj Kettimuthu Computing and networking challenges in supporting streaming applications Computing and Networking Challenges in Supporting Streaming Applications
Shweta Prabhat Khare Distributed Reactive Stream Processing Distributed Reactive Stream Processing
Eugene Kirpichov Dataflow / Apache Beam - A Unified Model for Batch and Streaming Data Processing
Scott Klasky Stream Processing for Remote Collaborative Data Analysis Stream Processing for Remote Collaborative Data Analysis
Kerstin Kleese Van Dam Reliable Performance for Streaming Analysis Workflows Reliable Performance for Streaming Analysis Workflows
Andre Luckow Pilot-Streaming: Design Considerations for a HPC Stream Processing Framework Pilot-Streaming: Design Considerations for a Stream Processing Framework for High-Performance Computing
Andre Martin Elastic and Secure Energy Forecasting in Cloud Environments Elastic and Secure Energy Forecasting in Cloud Environments
Benji Maruyama Autonomous Experimentation Applied to Carbon Nanotube Synthesis Autonomous Experimentation Applied to Carbon Nanotube Synthesis
Nina Mishra Robust Random Cut Forest Based Anomaly Detection On Streams Robust Random Cut Forest Based Anomaly Detection on Streams
Klaus Mueller Mining Behavior Patterns in Streaming Multivariate Data Mining Behavoir Patterns in Streaming Multivariate Data
Srinivasan Parthasarathy Ego-net Sketching for Streaming Graph Analytics Ego-net Sketching for Streaming Graph Analytics
Brian Quiter Radiological Search – a Long-Standing Streaming Application Radiological Search – a Long-Standing Streaming Application
Karthik Ramasamy Streaming in Practice Streaming in Practice
Alex Szalay Streaming in Astronomy
Nathan Tallent Processing Streaming Data In High Energy Physics Workflows
Craig Tull Real-time Streaming Analysis for BES User Facilities
Vakhtang Tsulaia Streaming in ATLAS
Carlos Varela
&
Stacy Patterson
Steering Complex Systems using a Dynamic, Data-Driven Modeling Approach Steering Complex Systems Using a Dynamic, Data-Driven Modeling Approach
Matt Wolf Rethinking streaming system construction for next-generation collaborative science Rethinking Streaming System Construction for Next-Generation Collaborative Science
John Wu Technology for Distributed Streaming Analytics Connecting Large Experimental Facility and Computing Facility with Streaming Analytics
Dean Williams The Earth System Grid Federation (ESGF)
Shinjae Yoo Streaming Manifold Learning and DOE Applications Streaming Manifold Learning and DOE Applications
Dantong Yu Deep learning for analyzing NSLS-II data stream Deep learning for analyzing NSLS-II Data Stream

STREAM2016 Agenda available.

Additional Participants:

Event Organizers: