Table of Contents
Seamless, Scalable Computing from Desktops to Global Computational Power Grids: Hype or Reality ?
Agenda
Computing Power (HPC) Drivers
How to Run App. Faster ?
Computing Platforms Evolution Breaking Administrative Barriers
Towards Inexpensive Supercomputing
Clustering of Computers for Collective Computing: Trends
Clustering Today
Cluster Computer Architecture
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Killer Micro: Technology Trend (lead to the death of traditional supercomputers)
Killer Networks and Protocols
Killer Tools/Middleware (e.g., HKU JESSICA)
Killer Applications
Science Portals - e.g., PAPIA system
Cluster Computing Forum
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Adoption of the Approach
Clusters of Clusters (HyperClusters)
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Towards Grid Computing….
What is Grid ?
Conceptual view of the Grid
Grid Application-Drivers
The Grid Vision: To offer
The Grid Impact!
Sources of Complexity in Grid Resource Management
Resource Management Challenges introduced by the GRID
Grid Resource Management: Challenging Issues
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Grid Components
Many GRID Projects and Initiatives
Many GRID Testbeds...
Scheduler Architecture Alternatives
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Grid Components and our Focus: Resource Brokers and Computational Economy
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Nimrod/G Resource Broker
What is Nimrod/G ?
A Nimrod/G User Console
Nimrod/G Architecture
Nimrod/G Interactions
Resource Location/Discovery
Computational Economy
Cost Model
Nimrod/G Scheduling Algorithm
Nimrod/G Scheduling algorithm ...
Resource Usage (for various deadlines)
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Scheduling Methods for Global Resource Allocation
GRACE
Grid Resource Management Architecture (Economic/Market-based)
Why Computational Economy in Resource Management ?
Advantages of Economic-based RM
Grid Open Trading Protocols
Open Trading Finite State Machine
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Conclusions
Further Information
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Back up Slides
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