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CS 477 Grid Computing

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Title: CS 477 Grid Computing


1
CS 477 Grid Computing
  • Group One
  • Olivia Stella
  • Kevin Phillips
  • Dwight Clarke

2
Chapter One
  • Grids in Context

3
Grids in Context
  • Grids are fractal
  • Chicago example
  • Needs to be understood by considering total
    transformation of the West
  • Onion Field to Metropolis
  • Artifact of emergence of an infrastructure

4
Grid on Steroids
  • Effect of Railroads in the West
  • Like Grids with internet
  • All aspects are exponential
  • Microprocessors
  • Bandwidth
  • Fiber
  • Disk Storage
  • Grid Massive Change
  • Large Scale
  • Not much time to react

5
From Networks to the Grid
  • ARPANET backbone of the grid
  • Developed in the 1970s by the DoD
  • Developed important protocols
  • TCP/IP
  • Packet Switching
  • Federal Government, Huge Influence
  • Funding for internet gave it a running start
  • TeraGrid (2002)
  • Updated example given in text
  • Links five major super computing sites

6
Who Will Use the Grid?
  • Computational scientists engineers
  • Visualize applications in real time
  • Corporations
  • Allows company to form collaborative teams and
    combine resources
  • Environment
  • Researchers can form large collaborative groups
  • Integration of detailed models in research work
  • Education
  • Nations
  • Consumers

7
Chapter Two
  • Scientific Imperative

8
New Modes of Scientific Inquiry
  • Data-Intensive Science
  • Monitoring of Industrial Equipment
  • Environmental / Earth observation
  • Medicine
  • Simulation-Based Science
  • Supercomputers
  • DNA bases
  • Remote Access to Experimental Apparatus
  • New technology high speed networks allow
    integration with grid

9
Virtual Community Science
  • Grid middleware enables coordinated resource
    sharing and problem solving in a dynamic,
    multi-institutional organization

10
Investing in New Infrastructure
  • World Governments realize importance
  • United Kingdom
  • eScience program (2001)
  • 120 million pounds spent
  • Tasked with identifying elements of generic grid
    middleware stack
  • United States
  • National Science Foundation
  • Inventory and explore advances in computer
    technology
  • Cyberinfrastructure
  • Virtual Organizations

11
Chapter Three
  • Industrial Imperative

12
Evolution of Technology
  • Two stages
  • Development
  • Mass Adoption
  • Better technology leads it to be more obscure
  • Complexity hidden user enjoy its benefits

13
Information Technology
  • Information Technology, like electricity and
    automobiles, is fast approaching its own
    post-technology phase. A time when the
    application will be dominant and technology will
    sink into background of our lives and integrated
    into society.

14
Efficiency
  • Same challenge on smaller scale
  • Similar to earlier times with Mainframes
  • Solution Virtualization
  • Enabled people to share an expensive resource
  • Increased efficiency is the reason so many are
    turning to open Grid Protocol

15
Chapter Four
  • Concepts Architecture

16
Virtual Organization the Grid
  • Statement of the Grid Problem
  • Defined as a controlled and coordinated resource
    sharing resource use in dynamic, scalable
    virtual organizations.
  • Scenarios given on pg 38-39
  • Define Virtual Organization (pg 40)
  • Enable disparate groups of organizations /or
    individuals to share resources in a controlled
    fashion, so that members may collaborate to
    achieve a shared goal.

17
Grid Architecture
  • Top to Bottom (pg 47)
  • Tools Application User applications
  • Directory brokering, diagnostics monitoring
    Collective services
  • Secure access to resources services Resource
    connectivity protocols
  • Diverse resources (computers, storage media,
    networks sensors) - Fabric

18
Grid Community
  • Global Grid Forum (GCF)
  • Multiplied more than ten times since 1998
  • Consists of over 400 delegates from 50 countries
  • Thrice-yearly meeting to define technical
    specifications form research groups
  • Surge of Interest
  • Need of scientific community
  • For more effective large-scale integration
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