Grid Computing - PowerPoint PPT Presentation

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Grid Computing

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Grid Computing Trenton Fairbanks Sung Wan Kim Laura Samartin Jumpei Takatsuki Why Grid Computing? 40% Mainframes are idle 90% Unix servers are idle 95% PC servers are ... – PowerPoint PPT presentation

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Title: Grid Computing


1
Grid Computing
  • Trenton Fairbanks
  • Sung Wan Kim
  • Laura Samartin
  • Jumpei Takatsuki

2
Why Grid Computing?
  • 40 Mainframes are idle
  • 90 Unix servers are idle
  • 95 PC servers are idle
  • 0-15 Mainframes are idle in peak-hour
  • 70 PC servers are idle in peak-hour

Source Grid Computing Dr Daron G Green
3
How Grid Computing Works
Idol time
Idol CPU
Super computer, Big mainframe
Idol CPU
Idol time
Source The Evolving Computing Model Grid
Computing Michael Teyssedre
4
How Grid Computing Works
Virtual machine Virtual CPU
Idol time
Idol CPU
Idol CPU
Idol time
Source The Evolving Computing Model Grid
Computing Michael Teyssedre
5
How Grid Computing Works
Grid Computing
0 idol
0 idol
0 idol
0 idol
Source The Evolving Computing Model Grid
Computing Michael Teyssedre
6
Definition
  • Grid computing is
  • A distributed computing system
  • Where a group of computers are connected
  • To create and work as one large virtual computing
    power, storage, database, application, and service

7
Definition
  • Grid computing
  • Allows a group of computers to share the system
    securely and
  • Optimizes their collective resources to meet
    required workloads
  • By using open standards

8
Key Technologies
  • OGSA Open Grid Services Architecture
  • Web services XML, WSDL, SOAP

9
Open Grid Services Architecture
OGSA architecture with Web services-enabled
service interface
Applications
Web Services
OGSA
Database
Workflow
Security
Messaging
Directory
File systems
Servers
Storage
Network
Source "Evolution of grid computing architecture
and grid adoption models" J. Joseph, M. Ernest,
and C. Fellenstein
10
Communities
  • Global Grid Forum
  • The Globus Alliance Globus Toolkit 4.0

11
How it Evolves
Utility computing
Service grid
Data grid
Virtualization Service-oriented Open standard
Processing grid
12
Early adopters
  • Academic
  • Big science
  • Life science
  • Nuclear engineering
  • Simulation

13
Market Potential
  • Financial servicesrisk management and
    compliance
  • Automotiveacceleration of product development
  • Petroleumdiscovery of oils

Source Perspectives on grid Grid computing -
next-generation distributed computing" Matt
Haynos, 01/27/04
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