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Grid Computing: What Is It, and Why Do I Care?*
Grid Computing: What Is It, and Why Do I Care?* Ken MacInnis <[email protected]> * Or, “Mi caja es su caja!” (c) Ken MacInnis 2004 1 Outline Introduction and Motivation Examples Architecture, Components, Tools Lessons Learned and The Future Questions? (c) Ken MacInnis 2004 2 What is “grid computing”? Many different definitions: Utility computing Cycles for sale Distributed computing distributed.net RC5, SETI@Home High-performance resource sharing Clusters, storage, visualization, networking “We will probably see the spread of ‘computer utilities’, which, like present electric and telephone utilities, will service individual homes and offices across the country.” Len Kleinrock (1969) The word “grid” doesn’t equal Grid Computing: Sun Grid Engine is a mere scheduler! (c) Ken MacInnis 2004 3 Better definitions: Common protocols allowing large problems to be solved in a distributed multi-resource multi-user environment. “A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities.” Kesselman & Foster (1998) “…coordinated resource sharing and problem solving in dynamic, multi- institutional virtual organizations.” Kesselman, Foster, Tuecke (2000) (c) Ken MacInnis 2004 4 New Challenges for Computing Grid computing evolved out of a need to share resources Flexible, ever-changing “virtual organizations” High-energy physics, astronomy, more Differing site policies with common needs Disparate computing needs -
GT 4.0 RLS GT 4.0 RLS Table of Contents
GT 4.0 RLS GT 4.0 RLS Table of Contents 1. Key Concepts .................................................................................................................................. 1 1. Overview of Data Management in GT4 ........................................................................................ 1 2. Data movement ........................................................................................................................ 1 3. Data replication ....................................................................................................................... 2 4. Higher level data services .......................................................................................................... 4 2. 4.0.0 Release Note ............................................................................................................................ 5 1. Component Overview ............................................................................................................... 5 2. Feature Summary ..................................................................................................................... 5 3. Bug Fixes ............................................................................................................................... 5 4. Known Problems ...................................................................................................................... 6 5. Technology Dependencies ......................................................................................................... -
A Globus Primer Or, Everything You Wanted to Know About Globus, but Were Afraid to Ask Describing Globus Toolkit Version 4
A Globus Primer Or, Everything You Wanted to Know about Globus, but Were Afraid To Ask Describing Globus Toolkit Version 4 An Early and Incomplete Draft Please send comments, criticisms, and suggestions to: [email protected] Preface The Globus Toolkit (GT) has been developed since the late 1990s to support the development of service-oriented distributed computing applications and infrastructures. Core GT components address basic issues relating to security, resource access and management, data movement and management, resource discovery, and so forth. A broader “Globus universe” comprises numerous tools and components that build on core GT4 functionality to provide many useful application- level functions. These tools have been used to develop many Grid systems and applications. Version 4 of the Globus Toolkit, GT4, released in April 2005, represents a significant advance relative to the GT3 implementation of Web services functionality in terms of the range of components provided, functionality, standards conformance, usability, and quality of documentation. This document is intended to provide a first introduction to key features of both GT4 and associated tools, and the ways in which these components can be used to develop Grid infrastructures and applications. Its focus is on the user’s view of the technology and its application, and the practical techniques that should be employed to develop GT4-based applications. We discuss in turn the applications that motivate the development of GT4 and related tools; the four tasks involved in building Grids: design, deployment, application, operations; GT4 structure, including its Web services (WS) and pre-WS components; the Globus universe and its various components; GT4 performance, scalability, and functionality testing; porting to GT4 from earlier versions of GT; who’s using GT4; likely future directions, and a few words of history. -
Parallelism of Machine Learning Algorithms
10/9/2013 Outline Condor Presented by : Walid Budgaga The Anatomy of the Grid Globus Toolkit CS 655 – Advanced Topics in Distributed Systems Computer Science Department Colorado State University 1 2 Motivation Motivation High Throughput Computing (HTC)? HTC is suitable for scientific research Large amounts of computing capacity over long Example(Parameter sweep): periods of time. Testing parameter combinations to Measured: operations per month or per year High Performance Computing (HPC)? keep temp. at particular level Large amounts of computing capacity for short periods of time op(x,y,z) takes 10 hours, 500(MB) memory, I/O 100(MB) Measured: FLOPS x(100), y(50), z(25)=> 100x50x25=125,000(145 years) 3 4 Motivation HTC Environment Fort Collins Large amounts of processing capacity? Exploiting computers on the network Science Center Utilizing heterogeneous resources Uses Condor for Overcoming differences of the platforms By building portable solution scientific projects Including resource management framework Over long periods of time? System must be reliable and maintainable Surviving failures (software & hardware) Allowing leaving and joining of resources at any time Upgrading and configuring without significant downtimes Source: http://www.fort.usgs.gov/Condor/ComputingTimes.asp 5 6 1 10/9/2013 HTC Environment HTC Also, the system must meet the needs of: Other considerations: Resource owners The distributive owned resources lead to: Rights respected Decentralized maintenance and configuration of resources Policies enforced Resource availability Customers Benefit of additional processing capacity outweigh complexity of Applications preempted at any time usage Adds an additional degree of resource heterogeneity System administrators Real benefit provided to users outweigh the maintenance cost 7 8 Condor Overview Open-source high-throughput computing framework for computing intensive tasks. -
The Advanced Resource Connector User Guide
NORDUGRID NORDUGRID-MANUAL-6 7/12/2010 The NorduGrid/ARC User Guide Advanced Resource Connector (ARC) usage manual 2 Contents 1 Preface 11 2 Roadmap 13 3 Client Installation 15 3.1 Beginner Installation . 15 3.1.1 Download . 15 3.1.2 Unpack . 15 3.1.3 Configure . 16 3.2 System-wide installation . 16 3.2.1 Installation via repositories . 17 3.2.2 Globus Toolkit . 18 3.2.3 Download the client . 18 3.2.4 Build . 19 3.2.5 Install the client . 20 3.3 Client configuration files . 21 3.3.1 client.conf . 21 3.3.2 srms.conf . 23 3.3.3 Deprecated configuration files . 24 4 Grid Certificates 25 4.1 Quick start with certificates . 25 4.1.1 Certificates in local standalone client . 25 4.1.2 Certificates for system-wide client installation . 27 4.1.3 Obtain a personal certificate . 27 4.2 Grid Authentication And Certificate Authorities . 28 4.2.1 Grid Login, Proxies . 28 4.2.2 Certificate Authorities . 29 4.2.3 Globus Grid certificates . 29 4.2.4 Associating yourself with a proper CA . 30 4.2.5 Friendly CAs . 31 4.2.6 Certificate Request . 32 4.2.7 Working with certificates: examples . 33 3 4 CONTENTS 5 Getting Access to Grid Resources: Virtual Organisations 35 5.1 NorduGrid Virtual Organisation . 35 5.2 Other Virtual Organisations . 36 6 Grid Session 37 6.1 Logging Into The Grid . 37 6.1.1 Proxy Handling Tips . 38 6.2 First Grid test . 38 6.3 Logging Out . -
Contributions to Desktop Grid Computing Gilles Fedak
Contributions to Desktop Grid Computing Gilles Fedak To cite this version: Gilles Fedak. Contributions to Desktop Grid Computing : From High Throughput Computing to Data-Intensive Sciences on Hybrid Distributed Computing Infrastructures. Calcul parallèle, distribué et partagé [cs.DC]. Ecole Normale Supérieure de Lyon, 2015. tel-01158462v2 HAL Id: tel-01158462 https://hal.inria.fr/tel-01158462v2 Submitted on 7 Dec 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Copyright University of Lyon Habilitation `aDiriger des Recherches Contributions to Desktop Grid Computing From High Throughput Computing to Data-Intensive Sciences on Hybrid Distributed Computing Infrastructures Gilles Fedak 28 Mai 2015 Apr`esavis de : Christine Morin Directeur de Recherche, INRIA Pierre Sens Professeur, Universit´eParis VI Domenico Talia Professeur, University of Calabria Devant la commission d'examen form´eede : Vincent Breton Directeur de Recherche, CNRS Christine Morin Directeur de Recherche, INRIA Manish Parashar Professeur, Rutgers University Christian Perez Directeur de Recherche, INRIA Pierre Sens Professeur, Universit´eParis VI Domenico Talia Professeur, University of Calabria Contents 1 Introduction 9 1.1 Historical Context . .9 1.2 Contributions . 13 1.3 Summary of the Document . 16 2 Evolution of Desktop Grid Computing 19 2.1 A Brief History of Desktop Grid and Volunteer Computing . -
Resume Ivo Janssen
Ivo J. Janssen 13266 Kerrville Folkway Austin, TX 78729 (512) 750-9455 / [email protected] Objective To be part of a successful professional services team in a pre-sales and post-sales architecture and deployment role. Summary I'm an experienced, enthusiastic and skilled professional services consultant with experience in architecting and supporting large-scale enterprise software, with extensive experience in designing and implementing custom solutions as part of pre- and post sales support activities in diverse industry verticals across five continents. I'm as comfortable in designing and coding in an engineering role as I am in on-site planning, executing and troubleshooting customer deployments in a professional services role, as well as in participating in sales calls and drafting proposals in a sales engineering role. I'm able to adapt to new environments quickly and rapidly become proficient with new systems, tools and skills. I'm a good team player who thinks beyond the problem at hand instead of following the established paths in order to find a better solution that meets both current and future needs. Professional experience • Virtual Bridges , Austin, TX, USA (Nov 2010 – present) Senior Solution Architect o Solution architect for VDI product line. • Initiate Systems / IBM , Austin, TX, USA (Sep 2008 – Nov 2010) Senior Consultant o Senior implementation engineer for Healthcare sector of Master Data Management product line. o Responsibilities include requirements gathering, product installation and configuration, custom coding, connectivity scripting on Windows and Unix, database performance tuning, customer training workshops, pre/post-sales support. o Successfully architected, implemented and brought live custom implementation projects for major hospital systems and labs in the US, including customers with up to 250 million records (1TB database) connected to 20 auxiliary systems. -
Grid Computing in Research and Business Status and Direction
Unicore Summit, Sophia Antipolis Oct 11 – 12, 2005 Grid Computing In Research and Business Status and Direction Wolfgang Gentzsch, D-Grid and RENCI Unicore Summit Sophia Antipolis, October 11 – 12, 2005 Topics of the Day What is a Grid ? Why should we care about Grid ? Grid Examples: Research, Industry, Community 12 good reasons why grids are ready for research and early adopters in business Grid challenges and opportunities in business The future of Grid Computing Unicore Summit Sophia Antipolis, October 11 – 12, 2005 What is a Grid ? 1001 Definitions Distributed, networked computing & data resources Networking and computing infrastructure for utility computing Distributed platform for sharing scientific experiments and instruments The next generation of enterprise IT architecture The next generation of the Internet and the WWW Computing from the wall socket The Advanced Network …and 994 more… Unicore Summit Sophia Antipolis, October 11 – 12, 2005 What is a Grid ? 1001 Definitions It’s all about distributed, networked, shared resources in (virtual) organizations Unicore Summit Sophia Antipolis, October 11 – 12, 2005 Industry is on a Journey Old World New World Static Dynamic Silo Shared Physical Virtual Courtesy Mark Linesch, GGF Manual Automated Application Service Transitioning from Silo Oriented Architecture to Service Oriented Architecture Unicore Summit Sophia Antipolis, October 11 – 12, 2005 Example: Tele-Science Grid coordinated problem solving on dynamic and heterogeneous resource assemblies DATA ADVANCED ACQUISITION VISUALIZATION ,ANALYSIS QuickTime™ and a decompressor are needed to see this picture. COMPUTATIONAL RESOURCES IMAGING INSTRUMENTS LARGE-SCALE DATABASES Courtesy of Ellisman & Berman /UCSD&NPACI Unicore Summit Sophia Antipolis, October 11 – 12, 2005 Why should we care about Grids ? Three Examples Research Grid Industry Grid Community Grid Unicore Summit Sophia Antipolis, October 11 – 12, 2005 Grids for Research: NEES, Network for Earthquake Engineering Simulation NEESgrid links earthquake researchers across the U.S. -
Reflections on Building a High-Performance Computing Cluster Using Freebsd
Reflections on Building a High-performance Computing Cluster Using FreeBSD NYCBUG March 2008 Brooks Davis The Aerospace Corporation El Segundo, California, USA http://people.freebsd.org/~brooks/pubs/meetbsd2007/ © Copyright 2007 The Aerospace Corporation Outline ● Fellowship Overview ● Evaluation of Design Issues ● Lessons Learned ● Thoughts on Future Clusters ● Conclusions A Brief History of Fellowship ● Started in 2001 ● Primarily motivated by the needs of the GPS program office ● Intended to be a corporate resource – Diverse set of users Fellowship Hardware ● 352 dual-processor nodes – 64 Quad-core Woodcrest Xeons – 288 Opterons (152 dual-core) – 1-4GB RAM, 80-250GB disk ● 6 core systems – fellowship – shell server – fellowship64 – amd64 shell server – arwen – node netboot server, scheduler, NIS, DNS, Mathematica License Server – elrond – /scratch – moria – NetApp FAS250 /home, /usr/aero Fellowship Circa February, 2007 Fellowship Composition by processor count Fellowship Composition by core count Fellowship Network r01n01 r01n02 fellowship r01n03 ... frodo r02n01 10.5.0.0/16 Aerospace gamgee r02n02 r02n03 Network arwen Cat6509 ... elrond r03n01 r03n01 r03n02 moria r03n02 r03n03 r03n03 ... ... Fellowship Software ● FreeBSD 6.2-RELEASE-p8 ● Sun Grid Engine (SGE) 6.0u11 ● Message Passing Interface (MPI) – MPICH – MPICH2 – OpenMPI ● PVM ● Mathematica ● Matlab Design Issues ● The Issue ● What We Did ● How it worked Operating System ● FreeBSD 4.x initially – Many years of service – Userland threading forced some application design choices -
The Grid: Past, Present, Future
1 The Grid: past, present, future Fran Berman,1 Geoffrey Fox,2 and Tony Hey3,4 1University of California, San Diego, California, 2Indiana University, Bloomington, Indiana, 3EPSRC, Swindon, United Kingdom, 4University of Southampton, Southampton, United Kingdom 1.1 THE GRID The Grid is the computing and data management infrastructure that will provide the elec- tronic underpinning for a global society in business, government, research, science and entertainment [1–5]. Grids idealized in Figure 1.1 integrate networking, communication, computation and information to provide a virtual platform for computation and data man- agement in the same way that the Internet integrates resources to form a virtual platform for information. The Grid is transforming science, business, health and society. In this book we consider the Grid in depth, describing its immense promise, potential and com- plexity from the perspective of the community of individuals working hard to make the Grid vision a reality. The Grid infrastructure will provide us with the ability to dynamically link together resources as an ensemble to support the execution of large-scale, resource-intensive, and distributed applications. Grid Computing – Making the Global Infrastructure a Reality, edited by F. Berman, G. Fox and T. Hey. 2002 John Wiley & Sons, Ltd. 10 FRAN BERMAN, GEOFFREY FOX, AND TONY HEY Data Advanced acquisition visualization Analysis Computational resources Imaging instruments Large-scale databases Figure 1.1 Managed digital resources as building blocks of the Grid. Large-scale Grids are intrinsically distributed, heterogeneous and dynamic. They pro- mise effectively infinite cycles and storage, as well as access to instruments, visualization devices and so on without regard to geographic location. -
Experimental Study of Remote Job Submission and Execution on LRM Through Grid Computing Mechanisms
Experimental Study of Remote Job Submission and Execution on LRM through Grid Computing Mechanisms Harshadkumar B. Prajapati Vipul A. Shah Information Technology Department Instrumentation & Control Engineering Dharmsinh Desai University Department Nadiad, INDIA Dharmsinh Desai University e-mail: [email protected], Nadiad, INDIA [email protected] e-mail: [email protected], [email protected] Abstract —Remote job submission and execution is The fundamental unit of work-done in Grid fundamental requirement of distributed computing done computing is successful execution of a job. A job in using Cluster computing. However, Cluster computing Grid is generally a batch-job, which does not interact limits usage within a single organization. Grid computing with user while it is running. Higher-level Grid environment can allow use of resources for remote job services and applications use job submission and execution that are available in other organizations. This execution facilities that are supported by a Grid paper discusses concepts of batch-job execution using LRM and using Grid. The paper discusses two ways of middleware. Therefore, it is very important to preparing test Grid computing environment that we use understand how a job is submitted, executed, and for experimental testing of concepts. This paper presents monitored in Grid computing environment. experimental testing of remote job submission and Researchers and scientists who are working in higher- execution mechanisms through LRM specific way and level Grid services and applications do not pay much Grid computing ways. Moreover, the paper also discusses attention to the underlying Grid infrastructure in their various problems faced while working with Grid published work. -
Introduction to Grid Computing with the Globus Toolkit Version 3 Page 1 Colorado Software Summit: October 26 – 31, 2003 © Copyright 2003, IBM Corporation
Colorado Software Summit: October 26 – 31, 2003 © Copyright 2003, IBM Corporation Introduction to Grid Programming with the Globus Toolkit Version 3 Michael Brown IBM Linux Integration Center Austin, Texas Michael Brown – Introduction to Grid Computing with the Globus Toolkit Version 3 Page 1 Colorado Software Summit: October 26 – 31, 2003 © Copyright 2003, IBM Corporation Session Introduction Who am I? ➢ [email protected] ➢ Team Leader for Americas Projects ➢ IBM Linux Integration Center, Austin ➢ Author on 2 IBM Redbooks about Globus 3 What will we talk about ? ➢ Recent history of grid computing ➢ Intro to the galaxy of Globus ➢ Run a Globus V3 example (fingers crossed) Michael Brown – Introduction to Grid Computing with the Globus Toolkit Version 3 Page 2 Colorado Software Summit: October 26 – 31, 2003 © Copyright 2003, IBM Corporation Introduction to Grid Computing Don't panic: it's just the new word for distributed computing We want to exploit resources on a wide, loose network ➢ Not a cluster, but heterogeneous systems ➢ CPU, storage, software, devices, all w/quality-of-service We started small in the early days with file copying, printing Later we moved to program-program communication We have to solve the same problems every time ➢ Comms protocol, data format, security, management Why can't we just focus on the high-level tasks? Please? ➢ Leverage existing standards ➢ Follow accepted patterns Michael Brown – Introduction to Grid Computing with the Globus Toolkit Version 3 Page 3 Colorado Software Summit: October 26 – 31,