DC2 Post-Mortem/DC3 Scoping February 5 - 6, 2008 DC3 Goals and Objectives Jeff Kantor DM System Manager Tim Axelrod DM System Scientist.

Slides:



Advertisements
Similar presentations
Lehrstuhl Informatik III: Datenbanksysteme Astrometric Matching - E-Science Workflow 1 Lehrstuhl Informatik III: 1 Datenbanksysteme 1 Fakultät für Informatik.
Advertisements

Distributed Data Processing
Kensington Oracle Edition: Open Discovery Workflow Meets Oracle 10g Professor Yike Guo.
ASCR Data Science Centers Infrastructure Demonstration S. Canon, N. Desai, M. Ernst, K. Kleese-Van Dam, G. Shipman, B. Tierney.
NOAO Brown Bag May 13, 2008 Tucson, AZ 1 Data Management Middleware NOAO Brown Bag Tucson, AZ May 13, 2008 Jeff Kantor LSST Corporation.
May 17, Capabilities Description of a Rapid Prototyping Capability for Earth-Sun System Sciences RPC Project Team Mississippi State University.
Jeff Kantor LSST Data Management Systems Manager LSST Corporation Institute for Astronomy University of Hawaii Honolulu, Hawaii June 19, 2008 LSST Data.
SOFIA DCS History and Overview Ian Gatley. SOFIA March DCS Preliminary Design Review2 The South Pole CARA Project: A DCS demonstration A data.
Components and Architecture CS 543 – Data Warehousing.
Building a Framework for Data Preservation of Large-Scale Astronomical Data ADASS London, UK September 23-26, 2007 Jeffrey Kantor (LSST Corporation), Ray.
© Anselm SpoerriInfo + Web Tech Course Information Technologies Info + Web Tech Course Anselm Spoerri PhD (MIT) Rutgers University
Tools and Services for the Long Term Preservation and Access of Digital Archives Joseph JaJa, Mike Smorul, and Sangchul Song Institute for Advanced Computer.
SLAC June Gpix Camera Camera DAQ/Control System SLAC Program Review T. Schalk CCS team.
Mike Smorul Saurabh Channan Digital Preservation and Archiving at the Institute for Advanced Computer Studies University of Maryland, College Park.
Building the LTER Network Information System. NIS History, Then and Now YearMilestone 1993 – 1996NIS vision formed by Information Managers (IMs) and LTER.
Copyright © 2012 Cleversafe, Inc. All rights reserved. 1 Combining the Power of Hadoop with Object-Based Dispersed Storage.
Introduction to LSST Data Management Jeffrey Kantor Data Management Project Manager.
V. Chandrasekar (CSU), Mike Daniels (NCAR), Sara Graves (UAH), Branko Kerkez (Michigan), Frank Vernon (USCD) Integrating Real-time Data into the EarthCube.
Commissioning the NOAO Data Management System Howard H. Lanning, Rob Seaman, Chris Smith (National Optical Astronomy Observatory, Data Products Program)
Data Management Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition.
Key Performance Metrics and End-to-End Testing
National Center for Supercomputing Applications Observational Astronomy NCSA projects radio astronomy: CARMA & SKA optical astronomy: DES & LSST access:
Characterisation Data Model applied to simulated data Mireille Louys, CDS and LSIIT Strasbourg.
Long Term Ecological Research Network Information System LTER Grid Pilot Study LTER Information Manager’s Meeting Montreal, Canada 4-7 August 2005 Mark.
National Center for Supercomputing Applications University of Illinois at Urbana-Champaign The Dark Energy Survey Middleware LSST Workflow Workshop 09/2010.
WFCAM Science Archive Critical Design Review, April 2003 The SuperCOSMOS Science Archive (SSA) WFCAM Science Archive prototype Existing ad hoc flat file.
LSST Alert Management VOEvent Meeting Tucson, AZ December 5-6, 2005 Robyn Allsman,LSSTC/NOAO Maria Nieto-Santisteban, JHU Ray Plante, NCSA Tim Axelrod,
OOI CI LCA REVIEW August 2010 Ocean Observatories Initiative OOI Cyberinfrastructure Architecture Overview Michael Meisinger Life Cycle Architecture Review.
NOAO Brown Bag Tucson, AZ March 11, 2008 Jeff Kantor LSST Corporation Requirements Flowdown with LSST SysML and UML Models.
Ocean Observatories Initiative OOI Cyberinfrastructure Architecture Overview Michael Meisinger September 29, 2009.
SE Coastal Network Water Quality Inventory & Monitoring Program Database Development Wade Sheldon & John Carpenter Dept. of Marine Sciences University.
Using the NSA Presentation to NOAO Users Committee October 5, 2005.
Ocean Observatories Initiative Data Management (DM) Subsystem Overview Michael Meisinger September 29, 2009.
LSST: Preparing for the Data Avalanche through Partitioning, Parallelization, and Provenance Kirk Borne (Perot Systems Corporation / NASA GSFC and George.
Ihr Logo Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Turban, Aronson, and Liang.
EScience May 2007 From Photons to Petabytes: Astronomy in the Era of Large Scale Surveys and Virtual Observatories R. Chris Smith NOAO/CTIO, LSST.
Test and Integration Robyn Allsman LSST Corp DC3 Applications Design Workshop IPAC August , 2008.
1 Computing Challenges for the Square Kilometre Array Mathai Joseph & Harrick Vin Tata Research Development & Design Centre Pune, India CHEP Mumbai 16.
Workpackage 2: Implementation Infrastructure. WP2: Objectives Main Objective of WP2: Integrated Optique Platform Main Objective of WP2: Integrated Optique.
The Earth System Grid (ESG) Computer Science and Technologies DOE SciDAC ESG Project Review Argonne National Laboratory, Illinois May 8-9, 2003.
Building the LTER Network Information System. NIS History, Then and Now YearMilestone 1993 – 1996NIS vision formed by Information Managers (IMs) and LTER.
1 CORE DATA PROCESSING SOFTWARE PLAN REVIEW | SEATTLE, WA | SEPTEMBER 19-20, 2013 Name of Meeting Location Date - Change in Slide Master Data Release Processing.
Introduction to Databases
LSST VAO Meeting March 24, 2011 Tucson, AZ. Headquarters Site Headquarters Facility Observatory Management Science Operations Education and Public Outreach.
©2012 LIESMARS Wuhan University Building Integrated Cyberinfrastructure for GIScience through Geospatial Service Web Jianya Gong, Tong Zhang, Huayi Wu.
Creating a Data Warehouse Data Acquisition: Extract, Transform, Load Extraction Process of identifying and retrieving a set of data from the operational.
19 May 2006 NCSA CIP Status Meeting 1 HDF5/SRB Integration Peter Cao & Mike Folk, NCSA Mike Wan & Reagan Moore, SDSC.
Ray Plante for the DES Collaboration BIRP Meeting August 12, 2004 Tucson Fermilab, U Illinois, U Chicago, LBNL, CTIO/NOAO DES Data Management Ray Plante.
Breakout Session Assignments and Goals. Summary of Objectives and Charge to Breakout Groups Desired outcome: a comprehensive vision for NACP Data Management.
U.S. Department of the Interior U.S. Geological Survey Decision Support Tools and USGS Data Management Best Practices Cassandra Ladino USGS Chesapeake.
R2 Themes and Historical Context for Observatory Management & Data Product Generation.
OOI Cyberinfrastructure and Semantics OOI CI Architecture & Design Team UCSD/Calit2 Ocean Observing Systems Semantic Interoperability Workshop, November.
EGI-InSPIRE RI EGI-InSPIRE EGI-InSPIRE RI Monitoring of the LHC Computing Activities Key Results from the Services.
Implementation Review1 Archive Ingest Redesign March 14, 2003.
Physical Oceanography Distributed Active Archive Center THUANG June 9-13, 20089th GHRSST-PP Science Team Meeting GHRSST GDAC and EOSDIS PO.DAAC.
The Virtual Observatory and Ecological Informatics System (VOEIS): Using RESTful architecture and an extensible data model to provide a unique data management.
September 2003, 7 th EDG Conference, Heidelberg – Roberta Faggian, CERN/IT CERN – European Organization for Nuclear Research The GRACE Project GRid enabled.
11/3/2010 CM15 Controls for LARP and LAFS - 1 Terri Lahey LARP/LAFS/CERN and SLAC.
Dodd/Cutri Feb 20, 2008 LSST DMS Applications Organizational Structure Applications Project Manager: S. Dodd Project Scientist*: R. Cutri Deputy Project.
Grid Services for Digital Archive Tao-Sheng Chen Academia Sinica Computing Centre
Data Grids, Digital Libraries and Persistent Archives: An Integrated Approach to Publishing, Sharing and Archiving Data. Written By: R. Moore, A. Rajasekar,
Geoffrey Fox Panel Talk: February
Database management system Data analytics system:
Optical Survey Astronomy DATA at NCSA
API Aspect of the Science Platform
Chuck F Claver LSST System Scientist & Commissioning Lead
LDF “Highlights,” May-October 2017 (1)
Scalable Systems Software for Terascale Computer Centers
NCSA Plan for DPP: Construction and Operations of the LSST Data Facility Don Petravick, Paul Domagala, Margaret Johnson Joint Technical Meeting March.
Presentation transcript:

DC2 Post-Mortem/DC3 Scoping February 5 - 6, 2008 DC3 Goals and Objectives Jeff Kantor DM System Manager Tim Axelrod DM System Scientist

DC2 Post-Mortem/DC3 Scoping February 5 - 6, 2008 DC3 Overall Goals and Objectives Extend DC2 Application Framework and Middleware to support Data Release Pipelines Expand DC2 Nightly Pipelines functionality to address LSST instrument signature removal and dayMOPS, and to improve quality of data outputs Provide Image Processing Pipeline for control and commissioning visualization requirements Develop first release of Data Release Pipelines (coaddition, detection, photometric calibration, astrometric calibration) Develop first release of Science Data Quality Analysis System (SDQAS) Continue scaled tests of data transfer, data processing, database ingest (to 15% of final LSST requirements) Conduct first scaled tests of data query (with map reduce/bigtable and DBMS SQL) Integrate new team members Answer key questions for PDR as documented in DM R&D Plan

DC2 Post-Mortem/DC3 Scoping February 5 - 6, 2008 DC3 Top-level Project Plan

DC2 Post-Mortem/DC3 Scoping February 5 - 6, Produce computing/storage, long-haul network acquisition plans 1/1/08 – 9/30/08 LLNL (mountain/base), NCSA (archive center), SDSC (data access center), NOAO (long-haul networks) 2.Produce cyber-security plan 1/1/08 – 9/30/08 NCSA (centers), LLNL (mountain/base) 3.Monitor and extrapolate computing, storage, and network architectures and price/performance trends; produce bi-annual report summarizing findings 9/1/05 – 9/30/10 LLNL (mountain /base), NCSA (centers), SDSC, NOAO 4.Model and prototype LSST infrastructure architecture and design, including scalability and reliability features. 6/1/06 – 9/30/10 LLNL (mountain/base), NCSA (archive center), SDSC (data access center), NOAO (long-haul networks) 5.Validate scalability of infrastructure via scaled performance loading tests of pipeline processing, data ingest, and data transfer (Data Challenge 3, 15% of LSST final requirements) 1/1/08 – 9/30/08 NCSA, LLNL, SDSC, NOAO For PDR - Monitor and evaluate computing, storage, and network resource price/performance trends and architectures

DC2 Post-Mortem/DC3 Scoping February 5 - 6, 2008 For PDR - Peta-Scale Database Architecture and Analysis 1.Test the performance of open source versions of Map/Reduce/Bigtable (hadoop/hdfs) on ingest and external queries. Characterize performance for spatial, temporal, and ad hoc meta-data based queries 1/1/08 – 9/30/08 SLAC, JHU, Google 2.Implement provenance ingest and re-creation of data products from raw data and provenance 1/1/08 – 9/30/08 SLAC, LLNL 3.Expand the implementation of persistence to include deep detection objects 1/1/08 – 9/30/08 SLAC 4.Evaluate relational database and map-reduce technologies for storage and query of various types of LSST data, including images, catalogs, and meta-data. Evaluate open source versus commercial technologies. 1/1/08 – 9/30/08 SLAC, Google R&D Plan contains 15 items with PDR significance