Stream2015 Schedule
DoE logo NSF logo AFOSR logo

Streaming Systems | Stream 2015 | Stream 2015 Final Report | Stream 2015 White Papers | Stream 2016

Stream 2015

List of White Papers Final Report

STREAM2015 will be the first in a series of two workshops and will have a focus on NSF applications and infrastructure. It will be held in Indianapolis, where two full meeting days (October 27-28) will be followed by a report writing day on October 29, 2015. The second workshop STREAM2016 will have a focus on DOE activities and applications as well as following up on ideas raised in STREAM2015. STREAM2016 will be held in Washington on March 22-23, 2016. We will produce separate reports on the discussions at each workshops that will be complete around two months after each event. The first workshop budget covers travel and meeting expenses for about 30 attendees. We have identified an organizing committee expanding the core group - Fox (Indiana), Jha (Rutgers) and Ramakrishnan (LBNL) - proposing these two workshops. In selecting a list of attendees we will reach out to underrepresented communities, in particular women and ethnic minorities. The real time streaming of sessions for STREAM2015 will enhance opportunities for a broad community to engage at the meeting and we will support questions and comments from remote participants. The web site http://streamingsystems.org will support this workshop and contain the final report, presentations, position papers, archival copies of streamed video and a repository of useful documents and links.

Event Organizers:

Meeting Materials:

Speaker Presentation Videos Slides White Paper
Roger Barga Kinesis: Data Stream Processing Services
Pete Beckman Array of Things & Waggle Sensors and Computing Array of Things & Waggle Sensors and Computing
Jelena Pjesivac-Grbovic Google Cloud Dataflow
Justin Wozniak Streaming, Storing, and Sharing Big Data for Light Source Science Streaming, Storing, and Sharing Big Data for Light Source Science (1) Streaming, Storing, and Sharing Big Data for Light Source Science
(2) Accelerating the Experimental Feedback Loop: Data Streams at the APS
Alex Szalay Streaming Problems in Astrophysics Streaming Problems in Astrophysics
Bojan Nikolic Data Processing for the Square Kilometre Array Telescope Data Processing for the Square Kilometre Array Telescope
Vladimir Braverman Streaming Algorithms for Cosmological Simulations and Beyond Streaming Algorithms for Cosmological Simulations and Beyond Streaming Algorithms for Astronomic Simulations
Robert Brunner Breaking Data Science Breaking Data Science
Yanif Ahmad Accelerating Scientific Discovery through Data-Driven Control and Real-Time Analytics Accelerating Scientific Discovery through Data-Driven Control and Real-Time Analytics Accelertaing Scientific Discovery through Data-Driven Control and Scalable Real-Time Analytics
Erik Paulson / Samuel Hamiltion Towards Self-Conscious Buildings Through Connected Products
John Wu Baseline in Streaming Data Analysis: What, Why, and How? Baseline in Streaming Data Analysis: What, Why, and How? Baseline in Streaming Data Anaylsis: What, Why, and How?
Madhav Marathe Real-Time Network Science Real-Time Network Science
Judy Qiu Parallel Clustering of High-Dimensional Social Media Data Streams
Von Welch Urban Sensor Data Privacy Issues: Findings of the Array of Things (AoT) Urban Sensor Data Privacy Issues: Findings of the Array of Things (AoT) Urban Sensor Data Privacy Issues: Finding of the Array of Things (AoT) Privacy Breakout Group
Kerstin Kleese Van Dam Analysis and Decision Making in Big Data Environments Analysis and Decision Making in Big Data Environments Analysis in Motion (AIM)
Shrideep Pallickara Real-Time Stream Processing For Sensing Environments Real-Time Stream Processing For Sensing Environments
Martin Swany In-Network Processing for Streaming Data In-Network Processing for Streaming Data
Dan Fay
Supun Kamburugamuve Streaming Applications for Robots with Real Time QoS Streaming Applications for Robots with Real Time QoS Streaming Applications for IOT with Real Time QoS
Andre Martin StreamMapReduce StreamMapReduce StreamMapReduce: When Stream Processing crosses MapReduce
Ilkay Altinas Dynamic Data-Driven Applica1ons using Workflows as a Programming Model Dynamic Data-Driven Applica1ons using Workflows as a Programming Model Dynamic Data-Driven Applications using Workflows as a Programming Model for Scalable and Reproducible Streaming and Steering
Milinda Pathirage Distributed Streaming SQL Distributed Streaming SQL Fast Data Management with Distributed Streaming SQL
Stefano Markidis Streaming Programming Systems for Exascale Streaming Programming Systems for Exascale Streaming Programming Systems at Exascale
Joshua Suetterlein Toward a Unified HPC and Big Data Runtime Toward a Unified HPC and Big Data Runtime Toward a Unified HPC and Big Data Runtime
Carlos Varela Dynamic Data-Driven Avionics Systems: Inferring Failure Modes from Data Streams Dynamic Data-Driven Avionics Systems: Inferring Failure Modes from Data Streams Dynamic Data Driven Avionics Systems: Inferring Failure Modes from Data Streams
Torre Wenaus Science-Aware Dynamic Data Delivery at the Exascale Science-Aware Dynamic Data Delivery at the Exascale Science-Aware Dynamic Data Delivery at the Exascale
Maryam Rahnemoonfar Real time Oil and Gas source Identification using Unmanned Aerial Systems Real Time Oil and Gas source Identification using Unmanned Aerial Systems
Xiangbo Li CVS: A Cost-Efficient and QoS-Aware Cloud Video Streaming CVS: A Cost-Efficient and QoS-Aware Cloud Video Streaming Cloud-Based Video Streaming for Energy- and Compute-Limited Thin Clients
David Crandall Streaming Deep Learning for Robotics and Mobile Cameras Streaming Deep Learning for Robotics and Mobile Cameras

Additional Participants



Schedule:

Itinerary: