Case Study Report PresentationGrid computing: The Grid                   (Mar 05, 2013)    By    Jivan Nepali, 066 BCT 517...
IS There Any Computer Systemthat isn’t a Grid?          Bio            Data    Knowledge         Grids           Grids   G...
Definitions “A computational grid is a hardware and software infrastructure     that     provides     dependable, consist...
Grid: Building Blocks Networks Link together geographically distributed resources and  allow them to be used collectivel...
Grid Computing: ArchitecturalModel  Hourglass Model  Thin center: few standards                Application Layer  Wide ...
Grid Models Distributed Super-Computing    Aggregate computational resources to tackle problems that cannot     be solve...
Grid Computing: Challenges No clear Standard Debate on Concept Difficult to Develop Limited area & Applications Lack ...
Grid Computing: Applications Life Science Application    Computational biology, bioinformatics, genomics,     computatio...
Grid Computing: ApplicationsCont...  Physical Science Application     The National Virtual Observatory Project in the Un...
References[1] Foster, I. & Kesselman C. (2005). “The Grid in aNutshell”. Mathematics and Computer Science Division,Argonne...
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Grid computing the grid

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Grid computing the grid

  1. 1. Case Study Report PresentationGrid computing: The Grid (Mar 05, 2013) By Jivan Nepali, 066 BCT 517 Laxmi Kadariya, 066 BCT 518 Narayan Pd. Kandel, 066 BCT 520
  2. 2. IS There Any Computer Systemthat isn’t a Grid? Bio Data Knowledge Grids Grids Grids Commodity Compute Science Grids Grids Grids Cluster Tera Sensor Grids Grids Grids
  3. 3. Definitions “A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities.” – Foster & Kesselman, 1998 “Grid computing is concerned with coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations (VOs).” - Foster & Tuecke, 2000 It is NOT a cluster Architecture!
  4. 4. Grid: Building Blocks Networks Link together geographically distributed resources and allow them to be used collectively Computational ‘Nodes’ on the Grid Networks connect resources on the Grid – computational resources with data storage Pulling it together It involves the coordination and partnerships among the remaining blocks for the complete model of a Grid Common Infrastructure: Standards Grid Standards to developers & users Standards on which the Grid is being built
  5. 5. Grid Computing: ArchitecturalModel  Hourglass Model  Thin center: few standards Application Layer  Wide top: many high-level Collective Layer behaviors can be mapped  Wide bottom: many underlying Connectivity Layer Resource Layer technologies and systems Fabric Layer
  6. 6. Grid Models Distributed Super-Computing  Aggregate computational resources to tackle problems that cannot be solved by a single system High-throughput Computing  Schedule large numbers of independent tasks to exploit unused CPU cycles On-demand Computing  Use Grid capabilities to meet short-term requirements for resources that cannot conveniently be located locally Data-Intensive Computing  Synthesize data in geographically distributed repositories Collaborative Computing  Enable shared use of data archives and simulations
  7. 7. Grid Computing: Challenges No clear Standard Debate on Concept Difficult to Develop Limited area & Applications Lack of Grid-enabled Software Centralized Management Security Management and Administration
  8. 8. Grid Computing: Applications Life Science Application  Computational biology, bioinformatics, genomics, computational neuroscience  e.g. the Protein Data Bank, the myGrid Project, the Biomedical Information Research Network (BIRN), MCell]. Engineering-oriented Application  NASA operation its research through grid Data-oriented Application  Data is emerging as the ‘killer application’ of the Grid.  e.g. Distributed Aircraft Maintenance Environment (DAME).
  9. 9. Grid Computing: ApplicationsCont...  Physical Science Application  The National Virtual Observatory Project in the United States is using the Grid to federate sky surveys from several different telescopes  Commercial Application  Virtual server hosting,  Disaster recovery,  Heterogeneous workload management,  End-to-end systems management,  End-to-end automation  Reducing up-front investment  Accessing new capability more quickly,  Better performance
  10. 10. References[1] Foster, I. & Kesselman C. (2005). “The Grid in aNutshell”. Mathematics and Computer Science Division,Argonne National Laboratory, Information SciencesInstitute, University of Southern California, USA.[2] Engelen van R. (2008). “Concepts & Architecture ofGrid Computing”. Leiden University, Netherlands.[3] Berman F., Hey A.J.G. & Fox G.C. (2003). “GridComputing – Making the Global Infrastructure aReality”. John Wiley & Sons Ltd, Chichester, England.[4] Abbas A. (2004). “Grid Computing: A Practical Guideto Technology & Applications”. Firewall Media, AnImprint of Laxmi Publications Pvt. Ltd., Golden House,Daryaganj, New Delhi, India.
  11. 11. Thank You!

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