Big Data Science Veracity (Robustness (collection, Issues) curation, Visualization NONE analysis, Data Quality YES action) Data Types Not Available Data Analytics YES Big Data Specific Provide more rapid assessment of the identity, location, and conditions Challenges (Gaps) of the shipments, provide detailed analytics and location of problems in the system in real-time. Big Data Specific Challenges in Mobility Currently conditions are not monitored on-board trucks, ships, and aircraft Security & Privacy Requirements Security need to be more robust Highlight issues for generalizing this use This use case includes local data bases as well as the requirement to case (e.g. for ref. synchronize with the central server. This operation would eventually architecture) extend to mobile device and on-board systems which can track the location of the items and provide real-time update of the information including the status of the conditions, logging, and alerts to individuals who have a need to know. More Information (URLs) Note: <additional comments> Big Data) Requirements WG Use Case Template Aug 11 2013 NBD(NIST Use Case Title Radar Data Analysis for CReSIS Vertical (area) Scientific Research: Polar Science and Remote Sensing of Ice Sheets Author/Company/Email Geoffrey Fox, Indiana University gcf@indiana.edu Actors/Stakeholders and Research funded by NSF and NASA with relevance to near and long their roles and term climate change. Engineers designing novel radar with “field responsibilities for 1-2 months to remote sites. Results used by scientists expeditions” building models and theories involving Ice Sheets Goals Determine the depths of glaciers and snow layers to be fed into higher level scientific Use Case Description Build radar; build UAV or use piloted aircraft; overfly remote sites (Arctic, Antarctic, Himalayas). Check in field that experiments configured correctly with detailed analysis later. Transport data by air-shipping disk as poor Internet connection. Use image processing to find ice/snow sheet depths. Use depths in scientific discovery of melting ice caps etc. Current Compute(System) Field is a low power cluster of rugged laptops plus Solutions classic 2-4 CPU servers with ~40 TB removable disk array. Off line is about 2500 cores Storage Removable disk in field. (Disks suffer in field so 2 copies made) Lustre or equivalent for offline Networking Terrible Internet linking field sites to continental USA.
Big Data Science (collection, curation, analysis, action) Veracity (Robustness Issues) Visualization NONE Data Quality YES Data Types Not Available Data Analytics YES Big Data Specific Challenges (Gaps) Provide more rapid assessment of the identity, location, and conditions of the shipments, provide detailed analytics and location of problems in the system in real-time. Big Data Specific Challenges in Mobility Currently conditions are not monitored on-board trucks, ships, and aircraft Security & Privacy Requirements Security need to be more robust Highlight issues for generalizing this use case (e.g. for ref. architecture) This use case includes local data bases as well as the requirement to synchronize with the central server. This operation would eventually extend to mobile device and on-board systems which can track the location of the items and provide real-time update of the information including the status of the conditions, logging, and alerts to individuals who have a need to know. More Information (URLs) Note: <additional comments> NBD(NIST Big Data) Requirements WG Use Case Template Aug 11 2013 Use Case Title Radar Data Analysis for CReSIS Vertical (area) Scientific Research: Polar Science and Remote Sensing of Ice Sheets Author/Company/Email Geoffrey Fox, Indiana University gcf@indiana.edu Actors/Stakeholders and their roles and responsibilities Research funded by NSF and NASA with relevance to near and long term climate change. Engineers designing novel radar with “field expeditions” for 1-2 months to remote sites. Results used by scientists building models and theories involving Ice Sheets Goals Determine the depths of glaciers and snow layers to be fed into higher level scientific Use Case Description Build radar; build UAV or use piloted aircraft; overfly remote sites (Arctic, Antarctic, Himalayas). Check in field that experiments configured correctly with detailed analysis later. Transport data by air-shipping disk as poor Internet connection. Use image processing to find ice/snow sheet depths. Use depths in scientific discovery of melting ice caps etc. Current Solutions Compute(System) Field is a low power cluster of rugged laptops plus classic 2-4 CPU servers with ~40 TB removable disk array. Off line is about 2500 cores Storage Removable disk in field. (Disks suffer in field so 2 copies made) Lustre or equivalent for offline Networking Terrible Internet linking field sites to continental USA.