Tools for Portals, Search, Assimilation, Provenance Computing Infrastructure for Science Individual University and Lab PIs National and Int’l collabs Research.

Slides:

Advertisements

Similar presentations

Data and Information Opportunities

Advertisements

ASCR Data Science Centers Infrastructure Demonstration S. Canon, N. Desai, M. Ernst, K. Kleese-Van Dam, G. Shipman, B. Tierney.

Priority Research Direction (I/O Models, Abstractions and Software) Key challenges What will you do to address the challenges? – Develop newer I/O models.

1 Cyberinfrastructure Framework for 21st Century Science & Engineering (CIF21) NSF-wide Cyberinfrastructure Vision People, Sustainability, Innovation,

4.1.5 System Management Background What is in System Management Resource control and scheduling Booting, reconfiguration, defining limits for resource.

1 Cyberinfrastructure Framework for 21st Century Science & Engineering (CF21) IRNC Kick-Off Workshop July 13,

Riding the Wave: a Perspective for Today and the Future APA Conference, November 2011 Monica Marinucci EMEA Director for Research, Oracle.

1 Software & Grid Middleware for Tier 2 Centers Rob Gardner Indiana University DOE/NSF Review of U.S. ATLAS and CMS Computing Projects Brookhaven National.

The DOE Science Grid Computing and Data Infrastructure for Large-Scale Science William Johnston, Lawrence Berkeley National Lab Ray Bair, Pacific Northwest.

Office of Science U.S. Department of Energy Grids and Portals at NERSC Presented by Steve Chan.

Astrophysics, Biology, Climate, Combustion, Fusion, Nanoscience Working Group on Simulation-Driven Applications 10 CS, 10 Sim, 1 VR.

ORNL is managed by UT-Battelle for the US Department of Energy Data Management User Guide Suzanne Parete-Koon Oak Ridge Leadership Computing Facility.

The Earth System Grid Discovery and Semantic Web Technologies Line Pouchard Oak Ridge National Laboratory Luca Cinquini, Gary Strand National Center for.

IPlant Collaborative Tools and Services Workshop iPlant Collaborative Tools and Services Workshop Overview of Atmosphere.

Building Data-intensive Pipelines Ravi K Madduri Argonne National Lab University of Chicago.

Lawrence Berkeley National Laboratory Kathy Yelick Associate Laboratory Director for Computing Sciences.

Computing in Atmospheric Sciences Workshop: 2003 Challenges of Cyberinfrastructure Alan Blatecky Executive Director San Diego Supercomputer Center.

TeraGrid Gateway User Concept – Supporting Users V. E. Lynch, M. L. Chen, J. W. Cobb, J. A. Kohl, S. D. Miller, S. S. Vazhkudai Oak Ridge National Laboratory.

4.x Performance Technology drivers – Exascale systems will consist of complex configurations with a huge number of potentially heterogeneous components.

1 European policies for e- Infrastructures Belarus-Poland NREN cross-border link inauguration event Minsk, 9 November 2010 Jean-Luc Dorel European Commission.

CI Days: Planning Your Campus Cyberinfrastructure Strategy Russ Hobby, Internet2 Internet2 Member Meeting 9 October 2007.

U.S. Department of Energy Office of Science Advanced Scientific Computing Research Program CASC, May 3, ADVANCED SCIENTIFIC COMPUTING RESEARCH An.

Climate Sciences: Use Case and Vision Summary Philip Kershaw CEDA, RAL Space, STFC.

IPlant Collaborative Tools and Services Workshop iPlant Collaborative Tools and Services Workshop Overview of Atmosphere.

Mehdi Ghayoumi Kent State University Computer Science Department Summer 2015 Exposition on Cyber Infrastructure and Big Data.

What are the main differences and commonalities between the IS and DA systems? How information is transferred between tasks: (i) IS it may be often achieved.

IPlant Collaborative Tools and Services Workshop iPlant Collaborative Tools and Services Workshop Collaborating with iPlant.

The Future of the iPlant Cyberinfrastructure: Coming Attractions.

1 Computing Challenges for the Square Kilometre Array Mathai Joseph & Harrick Vin Tata Research Development & Design Centre Pune, India CHEP Mumbai 16.

Plethora: A Wide-Area Read-Write Storage Repository Design Goals, Objectives, and Applications Suresh Jagannathan, Christoph Hoffmann, Ananth Grama Computer.

NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.

ICCS WSES BOF Discussion. Possible Topics Scientific workflows and Grid infrastructure Utilization of computing resources in scientific workflows; Virtual.

Cyberinfrastructure What is it? Russ Hobby Internet2 Joint Techs, 18 July 2007.

ISERVOGrid Architecture Working Group Brisbane Australia June Geoffrey Fox Community Grids Lab Indiana University

Ruth Pordes November 2004TeraGrid GIG Site Review1 TeraGrid and Open Science Grid Ruth Pordes, Fermilab representing the Open Science.

BOINC: Progress and Plans David P. Anderson Space Sciences Lab University of California, Berkeley BOINC:FAST August 2013.

26/05/2005 Research Infrastructures - 'eInfrastructure: Grid initiatives‘ FP INFRASTRUCTURES-71 DIMMI Project a DI gital M ulti M edia I nfrastructure.

TeraGrid Gateway User Concept – Supporting Users V. E. Lynch, M. L. Chen, J. W. Cobb, J. A. Kohl, S. D. Miller, S. S. Vazhkudai Oak Ridge National Laboratory.

Challenges of Federated Authentication to TeraGrid and Open Science Grid Jim Basney

Globus online Software-as-a-Service for Research Data Management Steve Tuecke Deputy Director, Computation Institute University of Chicago & Argonne National.

| nectar.org.au NECTAR TRAINING Module 2 Virtual Laboratories and eResearch Tools.

Cyberinfrastructure Overview Russ Hobby, Internet2 ECSU CI Days 4 January 2008.

Office of Science U.S. Department of Energy Grid Security at NERSC/LBL Presented by Steve Chan Network, Security and Servers

System Development & Operations NSF DataNet site visit to MIT February 8, /8/20101NSF Site Visit to MIT DataSpace DataSpace.

1 The European Open Science Cloud: Open Day Event EMBL, Heidelberg, 20 January 2016 Joint Research Centre (JRC) The European Commission’s in-house science.

Project number: ENVRI and the Grid Wouter Los 20/02/20161.

Data Infrastructure foundation of the European Cloud Initiative

An Architectural Approach to Managing Data in Transit Micah Beck Director & Associate Professor Logistical Computing and Internetworking Lab Computer Science.

DIRAC Project A.Tsaregorodtsev (CPPM) on behalf of the LHCb DIRAC team A Community Grid Solution The DIRAC (Distributed Infrastructure with Remote Agent.

High Risk 1. Ensure productive use of GRID computing through participation of biologists to shape the development of the GRID. 2. Develop user-friendly.

The Global Scene Wouter Los University of Amsterdam The Netherlands.

Directions in eScience Interoperability and Science Clouds June Interoperability in Action – Standards Implementation.

Built on the Powerful Microsoft Azure Platform, Forensic Advantage Helps Public Safety and National Security Agencies Collect, Analyze, Report, and Distribute.

1 Kostas Glinos European Commission - DG INFSO Head of Unit, Géant and e-Infrastructures "The views expressed in this presentation are those of the author.

Cyberinfrastructure Overview of Demos Townsville, AU 28 – 31 March 2006 CREON/GLEON.

All Hands Meeting 2005 BIRN-CC: Building, Maintaining and Maturing a National Information Infrastructure to Enable and Advance Biomedical Research.

Get Data to Computation eudat.eu/b2stage B2STAGE How to shift large amounts of data Version 4 February 2016 This work is licensed under the.

Enabling Digital Earth by focussing on ‘accessibility’ rather than ‘delivery’. Ryan Fraser CSIRO.

ORNL Site Report ESCC Feb 25, 2014 Susan Hicks. 2 Optical Upgrades.

Extreme Scale Infrastructure

INTAROS WP5 Data integration and management

Free Cloud Management Portal for Microsoft Azure Empowers Enterprise Users to Govern Their Cloud Spending and Optimize Cloud Usage and Planning MICROSOFT.

DOE Facilities - Drivers for Science: Experimental and Simulation Data

National e-Infrastructure Vision

iSERVOGrid Architecture Working Group Brisbane Australia June

Protect | Transform | Innovate

CloneManager® Helps Users Harness the Power of Microsoft Azure to Clone and Migrate Systems into the Cloud Cost-Effectively and Securely MICROSOFT AZURE.

Brian Matthews STFC EOSCpilot Brian Matthews STFC

VIFI : Virtual Information Fabric for Data-Driven Discovery from Distributed Fragmented Repositories PI: Dr. Ashit Talukder Bank of America Endowed Chair.

Presentation transcript:

Tools for Portals, Search, Assimilation, Provenance Computing Infrastructure for Science Individual University and Lab PIs National and Int’l collabs Research + Industry (e.g., Hubs) Industry Light sources, etc. (BES) Colliders (HEP/NP) Sequen- cers (BER) Cosmology (HEP) “Omics” data (All) ESnet Exascale Simulation Facilities Massive Throughput Simulations Data Serving and Archiving Facilities Analytics & visualization systems On-Site Computing

Model for Virtual Data Facility Argonne ALCF Argonne ALCF Berkeley NERSC Berkeley NERSC Oak Ridge OLCF Oak Ridge OLCF ESnet VDF Virtual Data Facility Common Access Layer Virtual Machine Common Access Layer BER Community Projects BER Community Projects HEP Community Projects HEP Community Projects BES Community Projects BES Community Projects X Projects X Projects...

Availability: seamless cross-site resilient access Scalability: in data volume Velocity: real-time steering, processing and storage Performance: multiple sites Scalability: in size of user community Interoperability across software and data sets Usability: Consistent interfaces for building domain- specific services Mobility (move data between facilities in & outside the complex) Efficiency: maximize through economy of scale Challenges and Goals of a DOE Data Facility

Virtual Cross-cutting Facility Upgrade Scale Up Exascale Program Pre-exascale 2016 Peak Exaflop 2020 Sustained Exaflop 2024 Scale Out Infrastructure Shared file and archive Shared authentication Support DOE/SC Experimental Facilities Data storage Serve data to worldwide users Data analysis & visualization Leverage existing facilities as base Creates a seamless facility for storing, analyzing, and sharing data Built on a common data retention and sharing policy for DOE/SC user facilities Support Innovation Hubs/Centers and Industry Cluster/Clouds tailored to domain specific innovation Common scalable multi-institutional collaboratory environments Common scalable remote visualization and workflow environments