EOSDIS Evolution at the Goddard Earth Science Data and Information - - PowerPoint PPT Presentation

eosdis evolution at the goddard earth science data and
SMART_READER_LITE
LIVE PREVIEW

EOSDIS Evolution at the Goddard Earth Science Data and Information - - PowerPoint PPT Presentation

Introduction EOSDIS Evolution at the Goddard Earth Science Data and Information Services Center (GES DISC) Bruce Vollmer GES DISC March 30, 2007 Bruce.E.Vollmer@nasa.gov 1 Outline Background on EOSDIS Evolution Evolution


slide-1
SLIDE 1

1

EOSDIS Evolution at the Goddard Earth Science Data and Information Services Center (GES DISC)

Bruce Vollmer GES DISC March 30, 2007 Bruce.E.Vollmer@nasa.gov

Introduction

slide-2
SLIDE 2

2

Outline

  • Background on EOSDIS Evolution
  • Evolution activities at the GES DISC
  • AIRS data in the evolution system

– Version 4, Version 5

slide-3
SLIDE 3

3

EOSDIS Evolution Background

  • In early 2005, NASA embarked on an EOSDIS Evolution Study
  • Address multi-faceted goals/issues:
  • Manage archive volume growth
  • Improve science need response and data access
  • Reduce recurring costs of operations and sustaining engineering
  • Update aging systems and components
  • Move towards more distributed environment
  • A vision for the 2015 timeframe was developed to guide conduct
  • f study (http://eosdis-evolution.gsfc.nasa.gov)
  • EOSDIS Evolution “Step 1” Plan approved by NASA

Headquarters in late 2005.

  • GES DISC IPR conducted February 2006
slide-4
SLIDE 4

4

Basic Approach

  • Reduce Maintenance and Operations

– Reduce off-shift operations (lights out) – Reduce number of different systems (V0, V1, ECS…)

  • Use dedicated archives for different measurements

– Enables measurement (mission)-specific engineering – Reduces risks – Enables fine-grained cost control

  • Evolve beyond the EOSDIS Core System (ECS)
  • Get all the data online

– Eliminate data latency – Enables services, machine–to-machine access, access via standard protocols

  • Move to commodity systems

– Reduces maintenance and technology refresh costs

  • Reuse proven software (S4PA)
slide-5
SLIDE 5

5

S4PA Software System

  • Simple Scalable Script-based Science Processor (S4P) Archive
  • A simplified software system to automate ingest and data management for online data
  • Based on successful S4P kernel

– Operating since 2001 as part of S4PM – Reused for several processing systems – Implements a factory assembly-line paradigm (or DFD)

  • S4PA

– Currently supporting V0 data (2004) and TRMM data (2005) – Written in Perl – Compact: ~20 KSLOC

slide-6
SLIDE 6

6

Evolution: DAAC to DISC

  • Features:

– Transition of Aqua AIRS, Aura (HIRDLS, OMI, MLS), SORCE and heritage data sets to S4PA – Transition MODIS archive and L1 processing to MODAPS – Phase out of ECS in early FY08 timeframe Consolidate GES DAAC data holdings into one system (S4PA)

  • Benefits:

– Reduction in operations costs due to elimination of multiple systems – Reduction in archive volume – Reduction in sustaining engineering costs due to use of simpler, scalable software and reduction in dependency on COTS products – Increased system automation due to single system, simpler operational scenarios – Improved data access due to planned use of increased on-line storage and commodity disks/platforms

slide-7
SLIDE 7

7

airsproc3 8 CPU L1-->L3 airsproc3 8 CPU L1-->L3 airsproc3 8 CPU L1-->L3 airscal 4 CPU

  • n-the-fly

susetting airspar 4 CPU

  • n-the-fly

analysis acdisc 8 CPU Giovanni Level 0 Level 1 Level 2 Level 3+

AIRS DISC Architecture

airspro4 8 CPU L1-->L3

Insulated Level-Slice Architecture

+ Optimized hardware for each task + Simple reprocessing scheme + User access segregated from processing machines – Significant data movement (Production Network) airsraw1 4 cpu L0->L1

slide-8
SLIDE 8

8

V4 Status and Plans

  • Produce and archive 5 year record of V4 L2/L3 data

– Through August 2007

  • Migrate V4 L2/L3 data from ECS to S4PA
  • Planned phase out of access to V4 L1 data Dec 2007

(ECS phase out)

  • Restrict access to V4 L2/L3 data once V5 record is

complete

– Avoid user confusion

slide-9
SLIDE 9

9

V5 Status and Plans

  • All L0 data migrated from ECS to S4PA
  • L0 data actively archived in S4PA
  • V5 L1 Reprocessing underway

– 39 X peak rate – 25-30 X rate sustained

  • V4 L2 benchmarked at 15 X on new system
  • Target rate of 8-12 X sustained

– 6 months to reprocess 5 year record – May 2007 startup – November 2007 completion

slide-10
SLIDE 10

10

Conclusion

Thank You! Questions?