REsources linkage for E-scIence - RENKEI -

Size: px
Start display at page:

Download "REsources linkage for E-scIence - RENKEI -"

Transcription

1 REsources linkage for E-scIence - - hlp:// sciren.org/ REsources linkage for E- science () is a research and development project for new middleware technologies to enable e- science communi?es. "" is Japanese word meaning "federa?on". The goal of the project is to develop middleware to federate/share resources (computers, storages, databases and applica?ons) distributed among mul?ple organiza?ons, such as research laboratories, na?onal computer centers and interna?onal grids. The research ac?vi?es consist of five research themes presented in the figure below. This project is supported by the Ministry of Educa?on, Culture, Sports, Science and Technology in Japan. computa?on intensive applica?ons users database users applica?on developers (1) compu?ng resource federa?on, and applica?on hos?ng (3) federa?on, and federa?on with ID management systems (4) API for mul?ple grid middleware laboratory (LLS) grid middleware (e.g. NAREGI) computer centers (NIS) interna0onal inter- opera0on grid middleware (5) evalua?on and collabora?on with users computer users (2) file sharing, and file catalogue federa?on computa?on/data intensive applica?on users #1143 #1143 #3029 #1143 #3213 #3013 #1143 #1127

2 -Workflow Tool(WFT) WFT(WorkFlow Tool) provides end users with a single seamless interface to manage workflow jobs. They use WFT to discover appropriate resources, to specify workflow jobs consisting of applications deployed by AHS on various grid resources, to launch jobs, to monitor running jobs, to terminate jobs, to retrieve files to client machine and to transfer files between them with the GUI interface. System features Ø Workflow engine controls over a single workflow execu?on by submi_ng jobs to compu?ng resources on LLS (Laboratory Level System) and NIS (Na?onal Infrastructure System, Super computer centers). Ø Limited communica?on protocols(hlps, myproxy, gfarm) between LLS and NIS resources for communica?ng through firewalls Ø Security Infrastructure (GSI) used as an authen?ca?on mechanism for submi_ng jobs to both resources. User Management Server (UMS) for archiving user cer?ficates and MyProxy Server in NIS are shared between LLS and NIS. Ø File sharing and stage- in/out of files between LLS and NIS by the file system (Gfarm). pre sim 1 sim. 2 sim. 3 post WFT AHS Workflow LLS Portal WF engine Cloud Client SAM WS- GRAM Cloud Nodes LLS Resources Deploy and boot pre post sim 1 SS WF engine Portal (WFT) Super Scheduler NIS Resources(NAREGI) VM VM VOMS,UMS MyProxy sim. 2 sim. 3 IS Gfarm meta server, file server

3 Interoperation compu?ng enables resource federa?on among organiza?ons. Scien?sts and engineers are ge_ng many benefits from resource sharing among organiza?ons. However, barriers s?ll exist. Because different grid middleware are implemented using different specifica?ons, resources cannot be shared among them. Many grid projects including are making effort to achieve grid interopera?on. User in Another Information Service in another Job Submission Client / Service in Another HPCBP Client HPCBP Service Computing Resource in Another Another Infrastructure -IS Schema Translator -SS SS Services HPCBP-SC HPCBP Client HPCBP-Service HPCBP Server LRMS SC NAREGI VM IS NAS / CDAS NIS Computing Resource Portal NAREGI user -IS LRPS Modification/Addition from NAREGI Infrastructure (NIS) Fig. 1 Interopera?on Architecture Interna?onal standards defined by the OGF (Open Forum) are used for grid interopera?on. " HPCBP: HPC Basic Profile " PGI: Produc?on Infrastructure " BES : Basic Execu?on Service " JSDL: Job Submission Descrip?on Language " GLUE: Informa?on schema etc. Five grid projects in the world tried and succeeded an interopera?on test. Web Server Oxford e-research Centre Pre-Processing: Generate input data (Perl) Main-Processing: Data Staging Job Submission to s Post-Processing-1: Choice Best Result (Perl) Post-Processing-2: Upload results to Web : HPCBP(BES, JSDL, etc.) : FTP or FTP UNICORE (DEISA) SAM (UK-NGS/OMII-UK) ARC (Nordu) Genesis II (U of Virginia) (NII) Local System Environments Internet Fig. 2 A Interopera?on Test The client can submit jobs to resources on different grids in a single workflow. Fig. 3 Using Mul?ple s in a Workflow

4 Applica0on Hos0ng Service (AHS) AHS provides a repository of applica?on informa?on to the research community created by grid virtual organiza?on (VO). Community members can share the applica?ons and their execu?on environment on hierarchical grid environments as shown in the right Figure. In a research community, applica?on users need to know only the applica?on specifica?ons, such as the applica?on name or keywords for selec?ng the applica?ons. Architecture A Univ. Virtual Organizations Application Developers Groups Application Users Joint Research Community AHS basic architecture is constructed as a set of Web/ service infrastructure on top of WSRF (Web Services Resource Framework) specifica?ons. WSRF is a messaging model and provides the ability to model stateful resources in a framework of Web services. AHS operates coopera?vely with the workflow tool and access to SS (Super Scheduler) for the NIS or SAM for the LLS as shown in the bolom Figure. A Lab. B Lab. B Univ. C Lab. C Univ. DUniv. D Lab. NIS LLS

5 U0lizing Cloud and for Research and Educa0on NII carries out two projects, edubase Cloud and, to federate cloud and grid infrastructures for research and education. The edubase Cloud offers platforms for educational programs and daily computing resources to educators and researchers. The middleware enable users to run their applications utilizing resources both in a cloud and a grid, e.g. running pre/post es in a cloud (Iaas) and large-scale simulation in a grid. ü plahorms for HPC applica?ons grid cloud service ü plahorms for educa?onal programs service ü plahorms for daily compu?ng ü a gateway to supercompu?ng services educators researchers edubase Cloud prj_educloud.html

Application Hosting Services for Research Community on Multiple Grid Environments

Application Hosting Services for Research Community on Multiple Grid Environments Hosting Services for Research Community on Multiple Grid Environments Hiroyuki Kanazawa, Naoki Onishi, Yuri Mizusawa, Takahiro Tsunekawa, Hitohide Usami Hosting Services for Research Community on Multiple

More information

NAREGI PSE with ACS. S.Kawata 1, H.Usami 2, M.Yamada 3, Y.Miyahara 3, Y.Hayase 4, S.Hwang 2, K.Miura 2. Utsunomiya University 2

NAREGI PSE with ACS. S.Kawata 1, H.Usami 2, M.Yamada 3, Y.Miyahara 3, Y.Hayase 4, S.Hwang 2, K.Miura 2. Utsunomiya University 2 NAREGI PSE with ACS S.Kawata 1, H.Usami 2, M.Yamada 3, Y.Miyahara 3, Y.Hayase 4, S.Hwang 2, K.Miura 2 1 Utsunomiya University 2 National Institute of Informatics 3 FUJITSU Limited 4 Toyama College National

More information

Introduction of NAREGI-PSE implementation of ACS and Replication feature

Introduction of NAREGI-PSE implementation of ACS and Replication feature Introduction of NAREGI-PSE implementation of ACS and Replication feature January. 2007 NAREGI-PSE Group National Institute of Informatics Fujitsu Limited Utsunomiya University National Research Grid Initiative

More information

EGEE and Interoperation

EGEE and Interoperation EGEE and Interoperation Laurence Field CERN-IT-GD ISGC 2008 www.eu-egee.org EGEE and glite are registered trademarks Overview The grid problem definition GLite and EGEE The interoperability problem The

More information

aginfra: High Performance Compu8ng einfrastructure for Agriculture

aginfra: High Performance Compu8ng einfrastructure for Agriculture aginfra: High Performance Compu8ng einfrastructure for Agriculture Antun Balaz Ins,tute of Physics Belgrade What is aginfra? A 3- years project, co- funded by the European Union, developing data infrastructure

More information

EOSC Services & Architecture: the EOSC-hub approach Tiziana Ferrari, Project Coordinator, EGI Founda?on

EOSC Services & Architecture: the EOSC-hub approach Tiziana Ferrari, Project Coordinator, EGI Founda?on EOSC Services & Architecture: the EOSC-hub approach Tiziana Ferrari, Project Coordinator, EGI Founda?on eosc-hub.eu @EOSC_eu EOSC-hub receives funding from the European Union s Horizon 2020 research and

More information

Independent Software Vendors (ISV) Remote Computing Usage Primer

Independent Software Vendors (ISV) Remote Computing Usage Primer GFD-I.141 ISV Remote Computing Usage Primer Authors: Steven Newhouse, Microsoft Andrew Grimshaw, University of Virginia 7 October, 2008 Independent Software Vendors (ISV) Remote Computing Usage Primer

More information

UNICORE Globus: Interoperability of Grid Infrastructures

UNICORE Globus: Interoperability of Grid Infrastructures UNICORE : Interoperability of Grid Infrastructures Michael Rambadt Philipp Wieder Central Institute for Applied Mathematics (ZAM) Research Centre Juelich D 52425 Juelich, Germany Phone: +49 2461 612057

More information

Presented by Wolfgang Ziegler, Open Grid Forum

Presented by Wolfgang Ziegler, Open Grid Forum ETSI SUMMIT ON STANDARDIZATION AND OPEN SOURCE STANDARDIZATION AND OPEN SOURCE Presented by Wolfgang Ziegler, Open Grid Forum About OGF Open global forum for advanced distributed computing OGF is an open

More information

FutureGrid 101. Part 2: Ge*ng Started Craig Stewart

FutureGrid 101. Part 2: Ge*ng Started Craig Stewart FutureGrid 101 Part 2: Ge*ng Started Craig Stewart Futuregrid.org We re s9ll in early adopter mode But we are very much interested in applica9ons experiments, computa9onal science experiments, and computer

More information

NAREGI Middleware Overview V 1.1 March, 2011 National Institute of Informatics

NAREGI Middleware Overview V 1.1 March, 2011 National Institute of Informatics GD-OVW0101-03 NAREGI Middleware Overview V 1.1 March, 2011 National Institute of Informatics Copyright 2004 National Institute of Informatics, Japan. All rights reserved. This file or a portion of this

More information

Overview of XSEDE for HPC Users Victor Hazlewood XSEDE Deputy Director of Operations

Overview of XSEDE for HPC Users Victor Hazlewood XSEDE Deputy Director of Operations October 29, 2014 Overview of XSEDE for HPC Users Victor Hazlewood XSEDE Deputy Director of Operations XSEDE for HPC Users What is XSEDE? XSEDE mo/va/on and goals XSEDE Resources XSEDE for HPC Users: Before

More information

Workflow applications on EGI with WS-PGRADE. Peter Kacsuk and Zoltan Farkas MTA SZTAKI

Workflow applications on EGI with WS-PGRADE. Peter Kacsuk and Zoltan Farkas MTA SZTAKI applications on EGI with WS-PGRADE Peter Kacsuk and Zoltan Farkas MTA SZTAKI kacsuk@sztaki.hu 1 WS-PGRADE/gUSE Generic-purpose gateway framework Based on Liferay General purpose -oriented gateway framework

More information

Grid Scheduling Architectures with Globus

Grid Scheduling Architectures with Globus Grid Scheduling Architectures with Workshop on Scheduling WS 07 Cetraro, Italy July 28, 2007 Ignacio Martin Llorente Distributed Systems Architecture Group Universidad Complutense de Madrid 1/38 Contents

More information

UAB IT Research Compu3ng Update

UAB IT Research Compu3ng Update UAB IT Research Compu3ng Update UAB IT Research Compu3ng Day September 15,2011 Discussion Topics Research Applica3ons Developer Tools Hardware Networks People Current Projects Projected Growth in Data

More information

Grid Experiment and Job Management

Grid Experiment and Job Management Grid Experiment and Job Management Week #6 Basics of Grid and Cloud computing University of Tartu March 20th 2013 Hardi Teder hardi@eenet.ee Overview Grid Jobs Simple Jobs Pilot Jobs Workflows Job management

More information

Topics of Discussion

Topics of Discussion CPET 581 Cloud Computing: Technologies and Enterprise IT Strategies Lecture on NIST Cloud Computing Definition, Standards & Roadmap, Security & Privacy Guidelines Spring 2013 A Specialty Course for Purdue

More information

First European Globus Community Forum Meeting

First European Globus Community Forum Meeting First European Globus Community Forum Meeting Florian Zrenner (zrenner@lrz.de) Slides from Dr. Helmut Heller (heller@lrz.de) Leibniz Supercomputing Centre (LRZ), Munich, Germany September 7 th, 2011 1

More information

globus online The Galaxy Project and Globus Online

globus online The Galaxy Project and Globus Online globus online The Galaxy Project and Globus Online Ravi K Madduri Argonne National Lab University of Chicago Outline What is Globus Online? Globus Online and Sequencing Centers What is Galaxy? Integra;ng

More information

Grid Interoperation and Regional Collaboration

Grid Interoperation and Regional Collaboration Grid Interoperation and Regional Collaboration Eric Yen ASGC Academia Sinica Taiwan 23 Jan. 2006 Dreams of Grid Computing Global collaboration across administrative domains by sharing of people, resources,

More information

The University of Oxford campus grid, expansion and integrating new partners. Dr. David Wallom Technical Manager

The University of Oxford campus grid, expansion and integrating new partners. Dr. David Wallom Technical Manager The University of Oxford campus grid, expansion and integrating new partners Dr. David Wallom Technical Manager Outline Overview of OxGrid Self designed components Users Resources, adding new local or

More information

October 5 th 2010 NANOG 50 Jason Zurawski Internet2

October 5 th 2010 NANOG 50 Jason Zurawski Internet2 October 5 th 2010 NANOG 50 Jason Zurawski Internet2 Overview Introduc=on and Mo=va=on Design & Func=onality Current Deployment Footprint Conclusion 2 10/5/10, 2010 Internet2 Why Worry About Network Performance?

More information

How to build Scientific Gateways with Vine Toolkit and Liferay/GridSphere framework

How to build Scientific Gateways with Vine Toolkit and Liferay/GridSphere framework How to build Scientific Gateways with Vine Toolkit and Liferay/GridSphere framework Piotr Dziubecki, Piotr Grabowski, Michał Krysiński, Tomasz Kuczyński, Dawid Szejnfeld, Dominik Tarnawczyk, Gosia Wolniewicz

More information

Interoperable job submission and management with GridSAM, JMEA, and UNICORE

Interoperable job submission and management with GridSAM, JMEA, and UNICORE Available online at http://www.ges2007.de This document is under the terms of the CC-BY-NC-ND Creative Commons Attribution Interoperable job submission and management with GridSAM, JMEA, and UNICORE D.

More information

CCW Workshop Technical Session on Mobile Cloud Compu<ng

CCW Workshop Technical Session on Mobile Cloud Compu<ng CCW Workshop Technical Session on Mobile Cloud Compu

More information

Concepts and Design of an Interoperability Reference Model for Scientific- and Grid Computing Infrastructures

Concepts and Design of an Interoperability Reference Model for Scientific- and Grid Computing Infrastructures Concepts and Design of an Interoperability Reference Model for Scientific- and Grid Computing Infrastructures Morris Riedel, Achim Streit, Thomas Lippert, Felix Wolf Juelich Supercomputing Centre Forschungszentrum

More information

AAI in EGI Current status

AAI in EGI Current status AAI in EGI Current status Peter Solagna EGI.eu Operations Manager www.egi.eu EGI-Engage is co-funded by the Horizon 2020 Framework Programme of the European Union under grant number 654142 User authentication

More information

Gergely Sipos MTA SZTAKI

Gergely Sipos MTA SZTAKI Application development on EGEE with P-GRADE Portal Gergely Sipos MTA SZTAKI sipos@sztaki.hu EGEE Training and Induction EGEE Application Porting Support www.lpds.sztaki.hu/gasuc www.portal.p-grade.hu

More information

Cloud Computing. Up until now

Cloud Computing. Up until now Cloud Computing Lecture 4 and 5 Grid: 2012-2013 Introduction. Up until now Definition of Cloud Computing. Grid Computing: Schedulers: Condor SGE 1 Summary Core Grid: Toolkit Condor-G Grid: Conceptual Architecture

More information

THE WIDE AREA GRID. Architecture

THE WIDE AREA GRID. Architecture THE WIDE AREA GRID Architecture Context The Wide Area Grid concept was discussed during several WGISS meetings The idea was to imagine and experiment an infrastructure that could be used by agencies to

More information

CHAPTER 2 LITERATURE REVIEW AND BACKGROUND

CHAPTER 2 LITERATURE REVIEW AND BACKGROUND 8 CHAPTER 2 LITERATURE REVIEW AND BACKGROUND 2.1 LITERATURE REVIEW Several researches have been carried out in Grid Resource Management and some of the existing research works closely related to this thesis

More information

Federated access to e-infrastructures worldwide

Federated access to e-infrastructures worldwide Federated access to e-infrastructures worldwide Marco Fargetta, INFN Catania - Italy (marco.fargetta@ct.infn.it) DCIs developed in the last decade 2 Evolution Research organisations are moving to cloud

More information

Grid Programming: Concepts and Challenges. Michael Rokitka CSE510B 10/2007

Grid Programming: Concepts and Challenges. Michael Rokitka CSE510B 10/2007 Grid Programming: Concepts and Challenges Michael Rokitka SUNY@Buffalo CSE510B 10/2007 Issues Due to Heterogeneous Hardware level Environment Different architectures, chipsets, execution speeds Software

More information

Introduc)on to High Performance Compu)ng Advanced Research Computing

Introduc)on to High Performance Compu)ng Advanced Research Computing Introduc)on to High Performance Compu)ng Advanced Research Computing Outline What cons)tutes high performance compu)ng (HPC)? When to consider HPC resources What kind of problems are typically solved?

More information

Pegasus Workflow Management System. Gideon Juve. USC Informa3on Sciences Ins3tute

Pegasus Workflow Management System. Gideon Juve. USC Informa3on Sciences Ins3tute Pegasus Workflow Management System Gideon Juve USC Informa3on Sciences Ins3tute Scientific Workflows Orchestrate complex, multi-stage scientific computations Often expressed as directed acyclic graphs

More information

INITIATIVE FOR GLOBUS IN EUROPE. Dr. Helmut Heller Leibniz Supercomputing Centre (LRZ) Munich, Germany IGE Project Coordinator

INITIATIVE FOR GLOBUS IN EUROPE. Dr. Helmut Heller Leibniz Supercomputing Centre (LRZ) Munich, Germany IGE Project Coordinator Dr. Helmut Heller (heller@lrz.de) Leibniz Supercomputing Centre (LRZ) Munich, Germany IGE Project Coordinator Argonne, March 2 nd, 2010 Overview The European Grid Ecosystem Initiative for Globus in Europe

More information

Juliusz Pukacki OGF25 - Grid technologies in e-health Catania, 2-6 March 2009

Juliusz Pukacki OGF25 - Grid technologies in e-health Catania, 2-6 March 2009 Grid Technologies for Cancer Research in the ACGT Project Juliusz Pukacki (pukacki@man.poznan.pl) OGF25 - Grid technologies in e-health Catania, 2-6 March 2009 Outline ACGT project ACGT architecture Layers

More information

SZDG, ecom4com technology, EDGeS-EDGI in large P. Kacsuk MTA SZTAKI

SZDG, ecom4com technology, EDGeS-EDGI in large P. Kacsuk MTA SZTAKI SZDG, ecom4com technology, EDGeS-EDGI in large P. Kacsuk MTA SZTAKI The EDGI/EDGeS projects receive(d) Community research funding 1 Outline of the talk SZTAKI Desktop Grid (SZDG) SZDG technology: ecom4com

More information

QosCosGrid Middleware

QosCosGrid Middleware Domain-oriented services and resources of Polish Infrastructure for Supporting Computational Science in the European Research Space PLGrid Plus QosCosGrid Middleware Domain-oriented services and resources

More information

Use of Shibboleth by ARCS

Use of Shibboleth by ARCS Use of Shibboleth by ARCS Neil Witheridge Manager, ARCS Authorisa7on Services Internet2 Members Mee7ng, Fall, October 2009 Overview Australian HE Research & ARCS Background ARCS reliance on AAF: Current

More information

Scientific data processing at global scale The LHC Computing Grid. fabio hernandez

Scientific data processing at global scale The LHC Computing Grid. fabio hernandez Scientific data processing at global scale The LHC Computing Grid Chengdu (China), July 5th 2011 Who I am 2 Computing science background Working in the field of computing for high-energy physics since

More information

Easy Access to Grid Infrastructures

Easy Access to Grid Infrastructures Easy Access to Grid Infrastructures Dr. Harald Kornmayer (NEC Laboratories Europe) On behalf of the g-eclipse consortium WP11 Grid Workshop Grenoble, France 09 th of December 2008 Background in astro particle

More information

XSEDE Infrastructure as a Service Use Cases

XSEDE Infrastructure as a Service Use Cases XSEDE Infrastructure as a Service Use Cases October 30, 2016 Version 2.2 This document outlines typical XSEDE user needs in the Infrastructure as a Service (IaaS) area. IAAS 1 through IAAS 4 describe how

More information

Fujitsu s Activities in Grid Computing

Fujitsu s Activities in Grid Computing Fujitsu s Activities in Grid Computing V Andreas Savva V Takumi Ouchi V Hiro Kishimoto (Manuscript received August 27, 2004) Fujitsu has been actively involved in the research and development of Grid computing:

More information

Chapter 2 Introduction to the WS-PGRADE/gUSE Science Gateway Framework

Chapter 2 Introduction to the WS-PGRADE/gUSE Science Gateway Framework Chapter 2 Introduction to the WS-PGRADE/gUSE Science Gateway Framework Tibor Gottdank Abstract WS-PGRADE/gUSE is a gateway framework that offers a set of highlevel grid and cloud services by which interoperation

More information

The MEG Metadata Schemas Registry Schemas and Ontologies: building a Semantic Infrastructure for GRIDs and digital libraries Edinburgh, 16 May 2003

The MEG Metadata Schemas Registry Schemas and Ontologies: building a Semantic Infrastructure for GRIDs and digital libraries Edinburgh, 16 May 2003 The MEG Metadata Schemas Registry Schemas and Ontologies: building a Semantic Infrastructure for GRIDs and digital libraries Edinburgh, 16 May 2003 Pete Johnston UKOLN, University of Bath Bath, BA2 7AY

More information

ARC NOX AND THE ROADMAP TO THE UNIFIED EUROPEAN MIDDLEWARE

ARC NOX AND THE ROADMAP TO THE UNIFIED EUROPEAN MIDDLEWARE ARC NOX AND THE ROADMAP TO THE UNIFIED EUROPEAN MIDDLEWARE GRID-2010, Dubna, July 2 2010 Oxana Smirnova (on behalf of the NorduGrid Collaboration) Outlook Usage of ARC in NDGF and ATLAS Overview of the

More information

IMPLEMENTING THE WASCAL DATA INFRASTRUCTURE (WADI)

IMPLEMENTING THE WASCAL DATA INFRASTRUCTURE (WADI) IMPLEMENTING THE WASCAL DATA INFRASTRUCTURE (WADI) Ralf Kunkel, Antonio Rogmann, Jürgen Sorg, Huaping Wang Helmholtz Open Science Webinare zu Forschungsdaten, 2015-03- 11 What is WASCAL? West African Science

More information

30 Nov Dec Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy

30 Nov Dec Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy Advanced School in High Performance and GRID Computing Concepts and Applications, ICTP, Trieste, Italy Why the Grid? Science is becoming increasingly digital and needs to deal with increasing amounts of

More information

User Community Driven Development in Trust and Identity Services

User Community Driven Development in Trust and Identity Services User Community Driven Development in Trust and Identity Services Ann Harding, SWITCH Internet2 Global Summit 27 April 2015 Washington DCs Agenda Trust and Iden.ty Landscape GÉANT Research Community Engagement

More information

Real- &me Archiving of Spontaneous Events (Use- Case : Hurricane Sandy)

Real- &me Archiving of Spontaneous Events (Use- Case : Hurricane Sandy) Archive- it Partner Mee&ng, Annapolis, Maryland December 3, 2012 Real- &me Archiving of Spontaneous Events (Use- Case : Hurricane Sandy) Kiran ChiBuri, Digital Library Research Laboratory, Virginia Tech.

More information

Computational Web Portals. Tomasz Haupt Mississippi State University

Computational Web Portals. Tomasz Haupt Mississippi State University Computational Web Portals Tomasz Haupt Mississippi State University What is a portal? Is it a web page? There is something going on behind the scene! Synopsis URL TCP/IP SSL HTTP HTTPS PKI Kerberos HTML

More information

Grid Computing Fall 2005 Lecture 5: Grid Architecture and Globus. Gabrielle Allen

Grid Computing Fall 2005 Lecture 5: Grid Architecture and Globus. Gabrielle Allen Grid Computing 7700 Fall 2005 Lecture 5: Grid Architecture and Globus Gabrielle Allen allen@bit.csc.lsu.edu http://www.cct.lsu.edu/~gallen Concrete Example I have a source file Main.F on machine A, an

More information

Using MATLAB on the TeraGrid. Nate Woody, CAC John Kotwicki, MathWorks Susan Mehringer, CAC

Using MATLAB on the TeraGrid. Nate Woody, CAC John Kotwicki, MathWorks Susan Mehringer, CAC Using Nate Woody, CAC John Kotwicki, MathWorks Susan Mehringer, CAC This is an effort to provide a large parallel MATLAB resource available to a national (and inter national) community in a secure, useable

More information

Strategies to remove complexity from everyday infrastructure

Strategies to remove complexity from everyday infrastructure Strategies to remove complexity from everyday infrastructure Nils Swart Director, Plexxi Open Network Exchange, Dallas 2013- April- 11 Why are we still here? Simplicity is the ultimate sophistication Leonardo

More information

Con$nuous Audi$ng and Risk Management in Cloud Compu$ng

Con$nuous Audi$ng and Risk Management in Cloud Compu$ng Con$nuous Audi$ng and Risk Management in Cloud Compu$ng Marcus Spies Chair of Knowledge Management LMU University of Munich Scien$fic / Technical Director of EU Integrated Research Project MUSING Cloud

More information

Cybersecurity Curricular Guidelines

Cybersecurity Curricular Guidelines Cybersecurity Curricular Guidelines Ma2 Bishop, University of California Davis, co-chair Diana Burley The George Washington University, co-chair Sco2 Buck, Intel Corp. Joseph J. Ekstrom, Brigham Young

More information

South African Science Gateways

South African Science Gateways Co-ordination & Harmonisation of Advanced e-infrastructures for Research and Education Data Sharing Research Infrastructures Grant Agreement n. 306819 South African Science Gateways Bruce Becker, Coordinator,

More information

Big Data, Big Compute, Big Interac3on Machines for Future Biology. Rick Stevens. Argonne Na3onal Laboratory The University of Chicago

Big Data, Big Compute, Big Interac3on Machines for Future Biology. Rick Stevens. Argonne Na3onal Laboratory The University of Chicago Assembly Annota3on Modeling Design Big Data, Big Compute, Big Interac3on Machines for Future Biology Rick Stevens stevens@anl.gov Argonne Na3onal Laboratory The University of Chicago There are no solved

More information

The NAREGI Server Grid Resource Management Framework

The NAREGI Server Grid Resource Management Framework 1 HPC Asia 2004 NAREGI Workshop, July 21, 2004 NAREGI WP1 Presentation The NAREGI Server Grid Resource Management Framework Satoshi Matsuoka Tokyo Institute of Technology/NII July 21, 2004 NAREGI WP1 Objectives

More information

The balancing act: Research vs. Produc7on. Kobus Van der Merwe

The balancing act: Research vs. Produc7on. Kobus Van der Merwe The balancing act: Research vs. Produc7on Kobus Van der Merwe 1 The balancing act: and Research vs. Produc7on Kobus Van der Merwe 2 Context All started with 3 Context All started with NSF program manager

More information

INSPIRE and Service Level Management Why it matters and how to implement it

INSPIRE and Service Level Management Why it matters and how to implement it Service Level Agreements for D-Grid INSPIRE and Service Level Management Why it matters and how to implement it Bastian Baranski con terra GmbH Münster, Germany http://www.sla4d-grid.de Motivation Evolution

More information

NASPInet 2.0 The Evolu4on of Synchrophasor Networks

NASPInet 2.0 The Evolu4on of Synchrophasor Networks NASPInet 2.0 The Evolu4on of Synchrophasor Networks NASPI Working Group Mee4ng San Mateo, California March 24, 2015 Dick Willson and Dan LuKer Allied Partners LLC 1 Agenda Future Synchrophasor Networks

More information

Data Access and Analysis with Distributed, Federated Data Servers in climateprediction.net

Data Access and Analysis with Distributed, Federated Data Servers in climateprediction.net Data Access and Analysis with Distributed, Federated Data Servers in climateprediction.net Neil Massey 1 neil.massey@comlab.ox.ac.uk Tolu Aina 2, Myles Allen 2, Carl Christensen 1, David Frame 2, Daniel

More information

Abstract. 1. Introduction. M. Marzolla. L. Zangrando INFN Padova, Italy

Abstract. 1. Introduction. M. Marzolla. L. Zangrando INFN Padova, Italy Improvements of Common Open Grid Standards to Increase High Throughput and High Performance Computing Effectiveness on Large-scale Grid and e-science Infrastructures M. Riedel, M.S. Memon, A.S. Memon,

More information

PoS(EGICF12-EMITC2)081

PoS(EGICF12-EMITC2)081 University of Oslo, P.b.1048 Blindern, N-0316 Oslo, Norway E-mail: aleksandr.konstantinov@fys.uio.no Martin Skou Andersen Niels Bohr Institute, Blegdamsvej 17, 2100 København Ø, Denmark E-mail: skou@nbi.ku.dk

More information

XSEDE Software and Services Table For Service Providers and Campus Bridging

XSEDE Software and Services Table For Service Providers and Campus Bridging XSEDE Software and Services Table For Service Providers and Campus Bridging 24 September 2015 Version 1.4 Page i Table of Contents A. Document History iv B. Document Scope v C. 1 Page ii List of Figures

More information

Composite Compliance: Demonstra1ng Suitability of Cloud Layering for Sensi1ve and Regulated Workloads

Composite Compliance: Demonstra1ng Suitability of Cloud Layering for Sensi1ve and Regulated Workloads Composite Compliance: Demonstra1ng Suitability of Cloud Layering for Sensi1ve and Regulated Workloads Heather Hinton, PhD hhinton@us.ibm.com IBM Dis1nguished Engineer Master Inventor, Member IBM AoT 7

More information

Parallel computing, data and storage

Parallel computing, data and storage Parallel computing, data and storage Grids, Clouds and distributed filesystems Mário David - LIP Lisbon david@lip.pt Overview Batch clusters Grid computing Cloud computing Infrastructure as a Service (IaaS)

More information

DataONE Cyberinfrastructure. Ma# Jones Dave Vieglais Bruce Wilson

DataONE Cyberinfrastructure. Ma# Jones Dave Vieglais Bruce Wilson DataONE Cyberinfrastructure Ma# Jones Dave Vieglais Bruce Wilson Foremost a Federa9on Member Nodes (MNs) Heart of the federa9on Harness the power of local cura9on Coordina9ng Nodes (CNs) Services to link

More information

How the Cloud is Changing Federated Iden4ty Requirements. Patrick Harding CTO, Ping March 1, 2010

How the Cloud is Changing Federated Iden4ty Requirements. Patrick Harding CTO, Ping March 1, 2010 How the Cloud is Changing Federated Iden4ty Requirements Patrick Harding CTO, Ping Iden3ty @pingcto March 1, 2010 http://www.flickr.com/photos/quinnanya/2690873096/ The Return of Timesharing http://www.flickr.com/photos/quinnanya/2690873096/

More information

Cloud Standards Coordina.on

Cloud Standards Coordina.on Cloud Standards Coordina.on A collabora.ve snapshot on Cloud Standards E. Darmois CSC Workshop, 11 December 2013 ETSI 2013. All rights reserved The Context EC Cloud Strategy (09/2012) Faster adopdon of

More information

Jeff Gooding Southern California Edison. Innovation at Southern California Edison

Jeff Gooding Southern California Edison. Innovation at Southern California Edison Jeff Gooding Southern California Edison Innovation at Southern California Edison Understand Cultural Risk Aversion to Innova

More information

Implementing MPI on Windows: Comparison with Common Approaches on Unix

Implementing MPI on Windows: Comparison with Common Approaches on Unix Implementing MPI on Windows: Comparison with Common Approaches on Unix Jayesh Krishna, 1 Pavan Balaji, 1 Ewing Lusk, 1 Rajeev Thakur, 1 Fabian Tillier 2 1 Argonne Na+onal Laboratory, Argonne, IL, USA 2

More information

GROWL Scripts and Web Services

GROWL Scripts and Web Services GROWL Scripts and Web Services Grid Technology Group E-Science Centre r.j.allan@dl.ac.uk GROWL Collaborative project (JISC VRE I programme) between CCLRC Daresbury Laboratory and the Universities of Cambridge

More information

Overview of IPTV Forum Japan s Hybridcast Technical SpecificaAon

Overview of IPTV Forum Japan s Hybridcast Technical SpecificaAon The fourth Web and TV Workshop Overview of IPTV Forum Japan s Hybridcast Technical SpecificaAon Kinji Matsumura, NHK 1 What is Technology pladorm for broadcast and broadband hybrid service that uses HTML5

More information

Today s Objec4ves. Data Center. Virtualiza4on Cloud Compu4ng Amazon Web Services. What did you think? 10/23/17. Oct 23, 2017 Sprenkle - CSCI325

Today s Objec4ves. Data Center. Virtualiza4on Cloud Compu4ng Amazon Web Services. What did you think? 10/23/17. Oct 23, 2017 Sprenkle - CSCI325 Today s Objec4ves Virtualiza4on Cloud Compu4ng Amazon Web Services Oct 23, 2017 Sprenkle - CSCI325 1 Data Center What did you think? Oct 23, 2017 Sprenkle - CSCI325 2 1 10/23/17 Oct 23, 2017 Sprenkle -

More information

On-demand Research Computing: the European Grid Infrastructure

On-demand Research Computing: the European Grid Infrastructure EGI- InSPIRE On-demand Research Computing: the European Grid Infrastructure Gergely Sipos EGI.eu, Amsterdam gergely.sipos@egi.eu The Milky Way: Stars, Gas, Dust and Magnetic Fields in 3D 19-06-2012 Heidelberg,

More information

Enterprise Architecture CS 4720 Web & Mobile Systems

Enterprise Architecture CS 4720 Web & Mobile Systems Enterprise Architecture Web & Mobile Systems The Concept of a Web Service Each service is built around a func=on/feature That func=on is surrounded by a specified set of protocols (SOAP, POX, WSDL, WSD,

More information

Distributed Research Networks: Lessons from the Field

Distributed Research Networks: Lessons from the Field Distributed Research Networks: Lessons from the Field The Learning System Summit Sponsored by the Joseph H. Kanter Family Founda8on The Na(onal Press Club Washington, DC May 17-18, 2012 Jeffrey Brown,

More information

MulG-Vendor Key Management with KMIP

MulG-Vendor Key Management with KMIP MulG-Vendor Key Management with KMIP Tim Hudson CTO Cryptso2 tjh@cryptso2.com GS13A 19-May-2016 1:35pm Key Management 1000011010100100101100101010000010101000101001101001111010001100 Key Management Standards

More information

EUDAT & AAI. Daan Broeder MPI for Psycholinguistics

EUDAT & AAI. Daan Broeder MPI for Psycholinguistics EUDAT & AAI Daan Broeder MPI for Psycholinguistics Initially six research communities on Board EPOS: European Plate Observatory System CLARIN: Common Language Resources and Technology Infrastructure ENES:

More information

Grid Computing. MCSN - N. Tonellotto - Distributed Enabling Platforms

Grid Computing. MCSN - N. Tonellotto - Distributed Enabling Platforms Grid Computing 1 Resource sharing Elements of Grid Computing - Computers, data, storage, sensors, networks, - Sharing always conditional: issues of trust, policy, negotiation, payment, Coordinated problem

More information

glite Grid Services Overview

glite Grid Services Overview The EPIKH Project (Exchange Programme to advance e-infrastructure Know-How) glite Grid Services Overview Antonio Calanducci INFN Catania Joint GISELA/EPIKH School for Grid Site Administrators Valparaiso,

More information

Crea?ng Cloud Apps with Oracle Applica?on Builder Cloud Service

Crea?ng Cloud Apps with Oracle Applica?on Builder Cloud Service Crea?ng Cloud Apps with Oracle Applica?on Builder Cloud Service Shay Shmeltzer Director of Product Management Oracle Development Tools and Frameworks @JDevShay hpp://blogs.oracle.com/shay This App you

More information

Molecular dynamics simulations in the MolDynGrid Virtual Laboratory by means of ARC between Grid and Cloud

Molecular dynamics simulations in the MolDynGrid Virtual Laboratory by means of ARC between Grid and Cloud Molecular dynamics simulations in the MolDynGrid Virtual Laboratory by means of ARC between Grid and Cloud Andrii Salnikov * NorduGrid 2016 * manf@grid.org.ua MolDynGrid Virtual Laboratory Has been established

More information

The Social Grid. Leveraging the Power of the Web and Focusing on Development Simplicity

The Social Grid. Leveraging the Power of the Web and Focusing on Development Simplicity The Social Grid Leveraging the Power of the Web and Focusing on Development Simplicity Tony Hey Corporate Vice President of Technical Computing at Microsoft TCP/IP versus ISO Protocols ISO Committees disconnected

More information

IRODS USER GROUP 2014 CAMBRIDGE,MA John Burns. 6/25/14 Archive Analy3cs Solu3ons 1

IRODS USER GROUP 2014 CAMBRIDGE,MA John Burns. 6/25/14 Archive Analy3cs Solu3ons 1 IRODS USER GROUP 2014 CAMBRIDGE,MA John Burns 6/25/14 Archive Analy3cs Solu3ons 1 Credits Archive Analy3cs Solu3ons is presen3ng an archive system that embodies best prac3ce for long- term, high integrity

More information

The Fedlet: Real World Examples

The Fedlet: Real World Examples The Fedlet: Real World Examples Sun Iden(ty Management User Group 12 March 2009 Agenda BIT Systems Overview Federal Agency Architecture Iden>ty Federa>on Fedlet Introduc>on Enhancing Fedlet Capabili>es

More information

Advanced Research Compu2ng Informa2on Technology Virginia Tech

Advanced Research Compu2ng Informa2on Technology Virginia Tech Advanced Research Compu2ng Informa2on Technology Virginia Tech www.arc.vt.edu Personnel Associate VP for Research Compu6ng: Terry Herdman (herd88@vt.edu) Director, HPC: Vijay Agarwala (vijaykag@vt.edu)

More information

Concurrency-Optimized I/O For Visualizing HPC Simulations: An Approach Using Dedicated I/O Cores

Concurrency-Optimized I/O For Visualizing HPC Simulations: An Approach Using Dedicated I/O Cores Concurrency-Optimized I/O For Visualizing HPC Simulations: An Approach Using Dedicated I/O Cores Ma#hieu Dorier, Franck Cappello, Marc Snir, Bogdan Nicolae, Gabriel Antoniu 4th workshop of the Joint Laboratory

More information

Cyber Security Capabilities

Cyber Security Capabilities Cyber Security Capabilities Informa:on Assurance ü Vulnerability Assessment ü Penetra8on Tes8ng ü Informa8on Security Assessment ü Applica8on Security Evalua8on ü Network Traffic Assessment ü Cri8cality

More information

Grid Computing Middleware. Definitions & functions Middleware components Globus glite

Grid Computing Middleware. Definitions & functions Middleware components Globus glite Seminar Review 1 Topics Grid Computing Middleware Grid Resource Management Grid Computing Security Applications of SOA and Web Services Semantic Grid Grid & E-Science Grid Economics Cloud Computing 2 Grid

More information

Institute of Cybernetics NAS of Ukraine Valentyna Cherepynets

Institute of Cybernetics NAS of Ukraine Valentyna Cherepynets Interna'onal Brokerage Event Istanbul 30/11/2016 Institute of Cybernetics NAS of Ukraine Valentyna Cherepynets valentyna.cherepynets@incyb.kiev.ua This presenta,on is for Workshop 4 internet of Things

More information

Integration of Network Services Interface version 2 with the JUNOS Space SDK

Integration of Network Services Interface version 2 with the JUNOS Space SDK Integration of Network Services Interface version 2 with the JUNOS Space SDK Radosław Krzywania, Michał Balcerkiewicz, Bartosz Belter Poznan Supercomputing and Networking Center, ul. Z. Noskowskiego 12/14,

More information

UNIT IV PROGRAMMING MODEL. Open source grid middleware packages - Globus Toolkit (GT4) Architecture, Configuration - Usage of Globus

UNIT IV PROGRAMMING MODEL. Open source grid middleware packages - Globus Toolkit (GT4) Architecture, Configuration - Usage of Globus UNIT IV PROGRAMMING MODEL Open source grid middleware packages - Globus Toolkit (GT4) Architecture, Configuration - Usage of Globus Globus: One of the most influential Grid middleware projects is the Globus

More information

Andrea Sciabà CERN, Switzerland

Andrea Sciabà CERN, Switzerland Frascati Physics Series Vol. VVVVVV (xxxx), pp. 000-000 XX Conference Location, Date-start - Date-end, Year THE LHC COMPUTING GRID Andrea Sciabà CERN, Switzerland Abstract The LHC experiments will start

More information

Eclipse Technology Project: g-eclipse

Eclipse Technology Project: g-eclipse (Incubation) Document classification: Made available under the Eclipse Public License v1.0. Date: September 11, 2007 Abstract: This document contains the Release Review Documentation for the Eclipse Technology

More information

Interoperation Scenarios of Production e-science Infrastructures

Interoperation Scenarios of Production e-science Infrastructures Interoperation Scenarios of Production e-science Infrastructures M. Riedel Forschungszentrum Juelich D-52425 Juelich, Germany m.riedel@fz-juelich.de C. Catlett, D. Skow, JP Navarro Argonne National Laboratory

More information

PoS(EGICF12-EMITC2)094

PoS(EGICF12-EMITC2)094 UNICORE EMI-Execution Service realization towards improved open standards 1 Forschungszentrum Juelich GmbH, Germany E-mail: m.memon@fz-juelich.de Morris Riedel Forschungszentrum Juelich GmbH, Germany E-mail:

More information