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GENI Alpha Demonstration Nowcasting : UMass/CASA Weather Radar Demonstration David Irwin. November 3, 2010 http://geni.cs.umass.edu/vise http://geni.cs.umass.edu/dicloud http://www.geni.net. Problem. CASA (an NSF ERC) is studying experimental networks of small controllable weather radars

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GENI Alpha Demonstration Nowcasting : UMass/CASA Weather Radar Demonstration David Irwin

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Geni alpha demonstration nowcasting umass casa weather radar demonstration david irwin

GENI Alpha DemonstrationNowcasting: UMass/CASA Weather Radar DemonstrationDavid Irwin

November 3, 2010

http://geni.cs.umass.edu/vise

http://geni.cs.umass.edu/dicloud

http://www.geni.net


Problem

Problem

  • CASA (an NSF ERC) is studying experimental networks of small controllable weather radars

    • Better data is the foundation of better hazardous weather detection and earlier warnings

    • Complex modeling to detect inclement weather requires many resources: sensors, bandwidth, storage, and computation

  • Costly to dedicate resources for rare events

    • How do we generate accurate, short-term “nowcasts” using these new distributed radar systems?


Solution

Solution

  • Today: only a few large NEXRAD radars (100s)

  • Tomorrow: many (1000s) smaller, less expensive radars produce data close to the ground where weather happens

  • Requires a flexible infrastructure for coordinated provisioning of shared sensing, networking, storage, and computing resources on-demand


Example puerto rico testbed

Example: Puerto Rico Testbed

  • UPRM Student Testbed

    • Led by Jorge Trabal, Prof. Sandra Cruz-Pol, and Prof. Jose Colom

    • http://www.youtube.com/watch?v=7TR64BhwMlI


Demo background

Demo Background

  • Dynamic end-to-end Nowcasting on GENI

    • Use GENI/Orca Control Framework (RENCI/Duke)

      • https://geni-orca.renci.org/trac/

      • http://geni-ben.renci.org:11080/orca/

    • Reserve heterogeneous slice of resources

      • Sensing Slice: UMass ViSE radars

      • Networking Slice: NLR, BEN-RENCI

      • Computation Slice: Amazon EC2 + UMass and RENCI VMs

      • Storage Slice: Amazon S3


Demo data flow

Demo Data Flow

  • Dynamic end-to-end Nowcasting

    • Mapping Nowcast Workflows onto GENI

archived

netcdf data

aggregated

multi-radar data

Nowcast images for display

“raw” live data

Radar Nodes

Archival Storage

Upstream LDM feed

Nowcast Processing

Post to Web


Geni alpha demonstration nowcasting umass casa weather radar demonstration david irwin

Generate “raw” live data

ViSE/CASA radar nodes

http://stb.ece.uprm.edu/current.jsp

Ingest mulit-radar data feeds

Merge and grid multi-radar data

Generate 1min, 5min, and 10min Nowcasts

Send results over NLR to Umass

Repeat

Use proxy to track usage-based spending on Amazon and enforce quotas and limits

http://geni.cs.umass.edu/vise/dicloud.php

ViSE views steerable radars as shared, virtualized resources

http://geni.cs.umass.edu/vise

“raw” live data

Nowcast images

for display

DiCloud Archival Service (S3)

LDM Data Feed (EC2)

Multi-radar NetCDF Data

Nowcast Processing


Geni technologies and credits

GENI Technologies and Credits

  • UMass-Amherst

    • ViSE and DiCloud projects

  • University of Puerto Rico, Mayaguez

    • Jorge Trabal, Prof. Cruz-Pol, and Prof. Colom

    • OTG Radars

  • Colorado State University

    • Prof. V. Chandrasekar

    • Nowcasting Software

  • RENCI/Duke

    • Orca Control Framework

    • BEN network

  • Starlight


Conclusion

Conclusion

  • GENI is critical for next-generation applications

    • Enable nowcasting in experimental radar systems

    • GENI capabilities: “sliceability”/virtualization, federation, network programmability

  • Provide domain scientists a new platform

    • Experiment with tightly integrated systems combining sensing, storage, networking, computing

    • Engage domain scientists in CASA and elsewhere

      • Extend GENI network to Puerto Rico


Wrap up

Wrap-up


Demo data flow1

Demo Data Flow

  • Dynamic end-to-end Nowcasting on GENI

archived

netcdf data

aggregated

multi-radar data

Nowcast images for display

“raw” live data

Radar Nodes

Archival Storage

Upstream LDM feed

Nowcast Processing

Post to Web

ViSE views steerable radars as shared, virtualized resources

http://geni.cs.umass.edu/vise

Use proxy to track usage-based spending on Amazon and enforce quotas and limits

http://geni.cs.umass.edu/vise/dicloud.php

http://vise-testbed.cs.umass.edu/nowcast/nowcast.html

DiCloud Archival

Service on

Amazon S3

1. Ingest data feeds from multiple radars

2. Merge multi-radar data

Generate 1min, 5min, and 10min Nowcasts

Repeat

Generate

Nowcasts

Data publicly available

to downstream nodes

Generate “raw” data

ViSE/CASA radar nodes

http://stb.ece.uprm.edu/current.jsp


Thank you

Thank you

UPRM:

  • Gianni Pablos

  • José Ortiz

  • WilsonCastellanos

  • MelissaAcosta

  • José Cordero

  • BenjamínDe Jesús

  • Sandra Cruz-Pol

  • José Colom

UMass:

Emmanuel Cecchet

PrashantShenoy

Jim Kurose

Eric Lyons

CSU:

V. Chandrasekar

Evan Ruzanski

Yanting Wang

RENCI:

IliaBaldine

Jeff Chase

Anirban Mandel


Demo overview

Demo Overview

  • Dynamic end-to-end Nowcasting on GENI

    • Slice of sensing, networking, computing, and storage

archived

netcdf data

aggregated

multi-radar data

Nowcast images for display

“raw” live data

Radar Nodes

Archival Storage

Upstream LDM feed

Nowcast Processing

Post to Web

Generate

Nowcasts

Archive radar data

Amazon S3

Archived data available

to downstream nodes

Generate “raw” data

ViSE/CASA radars


Demo resource listing in orca geni

Demo Resource Listing in Orca/GENI


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