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Case Study Report Presentation




Grid computing: The Grid
                   (Mar 05, 2013)

    By
    Jivan Nepali, 06...
IS There Any Computer System
that isn’t a Grid?

          Bio            Data    Knowledge
         Grids           Grids...
Definitions
 “A computational grid is a hardware and software
 infrastructure     that     provides     dependable,
 cons...
Grid: Building Blocks
 Networks
 Link together geographically distributed resources and
  allow them to be used collecti...
Grid Computing: Architectural
Model
  Hourglass Model
  Thin center: few standards                Application Layer

  ...
Grid Models
 Distributed Super-Computing
    Aggregate computational resources to tackle problems that cannot
     be so...
Grid Computing: Challenges
 No clear Standard
 Debate on Concept
 Difficult to Develop
 Limited area & Applications
 ...
Grid Computing: Applications
 Life Science Application
    Computational biology, bioinformatics, genomics,
     computa...
Grid Computing: Applications
Cont...
  Physical Science Application
     The National Virtual Observatory Project in the...
References
[1] Foster, I. & Kesselman C. (2005). “The Grid in a
Nutshell”. Mathematics and Computer Science Division,
Argo...
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Grid computing the grid

  1. 1. Case Study Report Presentation Grid 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 System that 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: Architectural Model  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: Applications Cont...  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 a Nutshell”. Mathematics and Computer Science Division, Argonne National Laboratory, Information Sciences Institute, University of Southern California, USA. [2] Engelen van R. (2008). “Concepts & Architecture of Grid Computing”. Leiden University, Netherlands. [3] Berman F., Hey A.J.G. & Fox G.C. (2003). “Grid Computing – Making the Global Infrastructure a Reality”. John Wiley & Sons Ltd, Chichester, England. [4] Abbas A. (2004). “Grid Computing: A Practical Guide to Technology & Applications”. Firewall Media, An Imprint of Laxmi Publications Pvt. Ltd., Golden House, Daryaganj, New Delhi, India.
  11. 11. Thank You!
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    Mar. 27, 2019

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