Seamless, Scalable Computing from Desktops to Global Computational Power Grids: Hype or Reality ?

5/29/00


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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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Author: Rajkumar Buyya

Email: rajkumar@csse.monash.edu.au

Home Page: http://www.csse.monash.edu.au/~rajkumar/

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