Grid computing


Published on

Published in: Technology
1 Comment
1 Like
No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Grid computing

  1. 1. 1Grid ComputingGrid ComputingPresented ByPresented ByKeshab NathKeshab Nath
  2. 2. 2OutlineOutline• Conception• Why Grid?• Grid Topologies• Grid Architecture• Key Components• Globus Toolkit• Applications
  3. 3. 3What Grid Computing isWhat Grid Computing is Allows sharing and coordinated use of diverse resources in dynamic,distributed “virtual organizations”. Grid computing is a service for sharing computer power and datastorage capacity over the Internet.
  4. 4.  Web– Uniform naming access to documents Grid- Uniform, high performance access to computational resourcesColleges/R&DLabsSoftwareCatalogshttp://http://Web vs. GRID
  5. 5. Why Grids?Why Grids?• Large-scale science and engineering are done through the interaction ofpeople, heterogeneous computing resources, information systems, andinstruments, all of which are geographically and organizationallydispersed.• The overall motivation for “Grids” is to facilitate the interactions ofthese resources in order to support large-scale science and Engineering.• Highly User friendly and mature web tech: No training needed• Provide access via “The grid “ to remote resources of millions of Pc’sfrom any where to any body.
  6. 6. LocalCluster21002100 2100 2100 21002100 2100 2100 2100PersonalDevice SuperComputersGlobalGridEnterpriseCluster/GridScalable ComputingScalable ComputingPERFORMANCE+QoS6
  7. 7. Grid TopologiesGrid Topologies• Intragrid- Local grid within an organization: Single organizations-A single cluster- Trust based on personal contracts7
  8. 8. 8• Extragrid– Multiple organizations– Resources of a organizations connected througha (Virtual) Private Network– Multiple clusters– Trust based on Business to Business contracts
  9. 9. 9• Intergrid– Global sharing of resources throughthe internet– Many Multiple clusters– Trust based on certification
  10. 10. 10Grid ArchitectureGrid ArchitectureApplicationCollectiveResourceConnectivityFabricApplicationTransportInternetLinkGRIDInternet
  11. 11. 11Grid ArchitectureGrid Architecture Fabric layer: Provides the resources to which shared access is controlledby Grid protocols The resources normally include physical and logical entities. . Connectivity layer: Defines the core communication and authenticationprotocols required for grid-specific network functions. These protocols enable the exchange of data between fabric layerresources. Resource layer: Defines protocols for secure negotiations, initiation,monitoring control operation on individual resources. Information & Management protocols
  12. 12. 12 Collective Layer : The collective services layer deals with the schedulingservices, data replications services, and monitoring services. These services are not associated with any one specific resource but focuson interactions across resources Application Layer: These are user applications that operate within VOenvironment. which includes applications in science, engineering, business, finance and more,as well as portals and development toolkits to support the applications. This isthe layer that grid users "see" and interact with
  13. 13. 13
  14. 14. How Does Grid Work.- If there is a scope for parallelism ,it can also decomposeYour work into convenient execution units based on the availableresources You Submit Your WorkAnd The Grid-Find convenient places to your data-Deals with Authentication to the different sites that you will beusing-Organizes efficient access to data for running your job-migration, replication-Run your jobs, monitor progress, recover from problems, tellsyou when work is complete
  15. 15. 15Key ComponentsKey Components• Portal/user interface
  16. 16. 16Key ComponentsKey Components• Security– Grid Security Infrastructure (GSI)
  17. 17. Key ComponentsKey Components• Broker– Monitoring and Discovery Service (MDS)It provides information about available resources on the grid and working status of theseresources
  18. 18. 18Key ComponentsKey Components• SchedulerIf jobs were to become lost due to system or network outages, scheduler wouldautomatically resubmit the job elsewhere.
  19. 19. Key ComponentsKey Components• Data management– Grid Access to Secondary Storage (GASS)It is responsible for moving files and data to various nodes within the grid
  20. 20. 20Key ComponentsKey ComponentsJob and resource management– Grid Resource Allocation Manager (GRAM)Providing the services to launch a job on a particular resource checking the job’s status, retrievethe results when the job is complete
  21. 21. 21Globus Toolkit 4Globus Toolkit 4• The Globus® Toolkit is an open source software toolkit usedfor building grids. provided by the Globus Alliance.• Globus Toolkit 4 provides components in the following fivecategories:– Common runtime components– Security– Data management– Information services– Execution management
  22. 22. 22Globus Toolkit 4Globus Toolkit 4
  23. 23. Globus ToolkitGlobus Toolkit• Common Runtime:The Common Runtime components provide a set offundamental libraries and tools which are needed to build bothWS and non-WS services.• Information services:The Information Services, more commonly referred to as theMonitoring and Discovery Services (MDS), includes a set ofcomponents to discover and monitor resources in a virtualorganization.• Execution managementExecution Management components deal with the initiation,monitoring, management, scheduling and coordination ofexecutable programs, usually called jobs, in a Grid. 23
  24. 24. Globus ToolkitGlobus Toolkit• SecurityUsing the Security components, based on the Grid SecurityInfrastructure (GSI), we can make sure that ourcommunications are secure.• Data managementThese components will allow us to manage large setsof data in our virtual organization.Modules in this section enable distributed data in the grid tolocate , move (GridFTP,RFT) and to manage (OGSA).24
  25. 25. 25Applications• The Southern California Earthquake Center uses Globussoftware to visualize earthquake simulation data.
  26. 26. 26Applications• Scientists in the Earth System Grid (ESG) are producing, archiving, andproviding access to climate data that advances our understanding of globalclimate change. ESG uses Globus software for security, data movement,and system monitoring.
  27. 27. 27Applications• Computational scientists at Brown University are using theGlobus Toolkit and MPICH-G2 to simulate the flow of bloodthrough human arteries.
  28. 28. 28Grid ProjectsGrid ProjectsInternational Grid Projects• Open Middleware Infrastructure Institute Europe (OMII-Europe) - May 2006 -> May2008• Enabling Grids for E-sciencE (EGEE) - March 2004 -> March 2006• Enabling Grids for E-sciencE II (EGEE II) - April 2006 -> April 2008• BREIN — September 2007 → August 2009• Data TAG - January 2001 -> January 2003• European Data Grid (EDG) - March 2001 -> March 2004• Baltic Grid - November 2005 -> April 2008National Grid Projects• D-Grid (German)• GARUDA (Indian)• grid computing project at VECC (Calcutta, India)• China Grid Project• INFN Grid (Italian)• Knowledge Grid Malaysia• NAREGI Project• Singapore National Grid Project• Thai National Grid Project• BELNET Grid, Belgium
  29. 29. GARUDAGARUDA Ended on March 2008, accomplished its deliverables by connecting 17cities across 45 academic and research institutes country wide along withthe required softwares for managing grid computing applications.29 GARUDA is Indias first national grid initiative bringing together academic,scientific and research communities for developing their data and computeintensive applications with guaranteed QoS. The Department of Information Technology (DIT), Government of India,has funded Centre for Development of Advanced Computing (C-DAC) todeploy the nation-wide computational grid “GARUDA” spanning across 17cities and 45 institutions with an aim to bring Distributed/Grid networkedinfrastructure to academic labs, research labs and industries in India
  30. 30. Some current Grids indevelopment anddeploymentEuropean Data Grid The European Data Grid is a European Union funded projectwhich aims to create a huge Grid system for computation anddata-sharing. It is aimed at projects in high energy physics,biology and medical image processing, and astronomy.The National Fusion Collaboratory• The National Fusion Collaboratory project exists to helpresearch magnetic fusion. Magnetic fusion experimentsoperate on pulses of plasmas which are producedapproximately every 15 minutes. The data generated fromeach measurement must be analysed within the 15 minutes sothat changes can be made to the set up in time for the nextpulse30
  31. 31. 31ReferenceReference• “The Anatomy of the Grid(Enabling Scalable Virtual Organizations)”---by Ian Foster, Carl Kesselman, Steven Tuecke• “Physiology of the Grid (An Open Grid Services Architecture forDistributed Systems Integration )”---by Ian Foster, Carl Kesselman, Jeffrey M. Nick, Steven Tuecke• “Grid Computing:Past,Present, and Future”--- by Elias Kourpas, June2006• “Introduction to Grid Computing” ---IBM Redbook,2005• IBM Grid• Globus website:
  32. 32. 32Thank You!Thank You!