Introduction to Grid Computing

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Introduction to Grid Computing

• Ann Chervenak
• Carl Kesselman
• And the members of the Globus Team

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The Computataional Grid

• Emerging computational and networking
  infrastructure
• pervasive, uniform, and reliable access to
  remote data, computational, sensor, and human
  resources
• Enable entirely new approaches to applications
  and problem solving
• remote resources the rule, not the exception
• Wide-area distributed computing
• national and international

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What Can You Do with One?

• Combine dozens of supercomputers to solve a
  single problem
• Link realtime satellite data feeds with
  distributed computational and display systems
• Enable schools across the country to participate
  in interactive simulations and data analysis
• Interactively combine the output of many
  independent servers to analyze a new genome
• Build a network of immersive virtual reality
  sites to collaboratively design a new vehicle

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Example Aeronautic Design
Collaboration
Simulation
Instrumentation
Design data
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Why Now?

• The Internet as infrastructure
• Increasing bandwidth, advanced services
• Advances in storage capacity
• Terabytes, petabytes per site
• Increased availability of compute resources
• clusters, supercomputers, etc.
• Advanced applications
• simulation based design, advanced scientific
  instruments, ...

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Todays Information Infrastructure
O(106) nodes

• Network-centric simple, fixed end systems few
  embedded capabilities few services no
  user-level quality of service

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Tomorrows InfrastructureNot Just Faster and
More Reliable
O(109) nodes
Caching
Resource Discovery
QoS

• Application-centric heterogeneous, mobile
  end-systems many embedded capabilities rich
  services user-level quality of service

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Grid Services Architecture
High-energy physics data analysis
Collaborative engineering
On-line instrumentation
Applications
Regional climate studies
Parameter studies
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Grid Services (Middleware)

• Standard services that
• Provide uniform, high-level access to a wide
  range of resources (including networks)
• Address interdomain issues of security, policy,
  etc.
• Permit application-level management and
  monitoring of end-to-end performance
• Middleware-level and higher-level APIs and tools
  targeted at application programmers
• Map between application and Grid

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GUSTO Computational Grid
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Emmerging Production Grids
NASA Information Power Grid
PACI Grid
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Today

• Definition of grid computing
• Syllabus, class requirements
• How does grid computing differ from traditional
  distributed computing?
• Where do grids get their names?
• What basic services must be provided by a grid
  infrastructure?

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Course Syllabus

• Part 1 The Basics of Grid Computing
• Grid book and recent papers
• General discussion of each topic followed by
  focus on the Globus approach
• Part 2 Advanced Topics
• Focus on recent papers
• Examine some other systems, some Globus tools in
  greater detail
• Prerequisites
• Courses in operating systems and networks,
  preferably at the graduate level
• Prefer some distributed systems knowledge

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Additional Information

• Class web site
• http//www.isi.edu/annc
• Required text------?
• Additional papers provided
• Other sites
• Globus web site
• http//www.globus.org
• Grid forum web site
• http//www.gridforum.org

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Requirements

• Attendance and participation
• Reading
• Each student is responsible for a written summary
  of a subset of papers covered
• Presentation
• Each student will give a 30-40 minute
  presentation on a paper covered in class
• Project second half of course
• Survey project or experiment with Globus
  infrastructure
• Photo pages due next Tuesday