Grid Resource Management, Scheduling and Computational Economy
(Nimrod/G Experience + GRACE proposal)

3/31/00


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Table of Contents

Grid Resource Management, Scheduling and Computational Economy Nimrod/G Experience + GRACE proposal

Agenda

Computing Platforms Breaking HPC Barriers

Computing Power (HPC) Drivers

Grid Application-Drivers

Towards Grid Computing….

The Grid Vision: To offer

The Grid Impact!

Sources of Complexity in Grid Resource Management

Grid Resource Management: Challenging Issues

Grid Components and our Focus: Resource Brokers and Computational Economy

Resource Management Strawman’s proposed at Grid Forum (GF-SCHED WG)*

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Nimrod/G Resource Broker

What is Nimrod/G ?

A Nimrod/G User Console

Nimrod/G Architecture

Nimrod/G Interactions

Computational Economy

Global resource allocation: Meet Deadline, but minimize the cost

Cost Model

Current Scheduling Algorithm in Nimrod/G: Deadline based, and tries to meet using low cost resources.

Resource Usage (for various deadlines)

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Scheduling Methods for Global Resource Allocation

Scheduling Policies can be combined!

Nimrod/G Limitations (current version)

GRACE

Why Computational Economy in Resource Management ?

Advantages of Economic-based RM

Resource Profile (that can be considered during resource selection)

Grid Resource Management Architecture (Economic/Market-based)

Key components involved in computation economy issues…

Key components involved in computation economy issues

Grid Open Trading Protocols

Open Trading Finite State Machine

GRACE APIs (for Trading between Bid Manager and Bid Server)

GRACE Deal Template

Scheduler Steps

Related Works

Scheduling Policies in GRD

Deadline policy in GRD

Scheduling Policies

Conclusions

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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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