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A linear programming driven genetic algorithm for meta-scheduling on utility grids

conference contribution
posted on 2023-05-23, 09:14 authored by Saurabh GargSaurabh Garg, Konugurthi, P, Buyya, R
The user-level brokers in grids consider individual application QoS requirements and minimize their cost without considering demands from other users. This results in contention for resources and sub-optimal schedules. Meta-scheduling in grids aims to address this scheduling problem, which is NP hard due to its combinatorial nature. Thus, many heuristic-based solutions using Genetic Algorithm (GA) have been proposed, apart from traditional algorithms such as Greedy and FCFS. We propose a Linear Programming/Integer Programming model (LP/IP) for scheduling these applications to multiple resources. We also propose a novel algorithm LPGA (Linear programming driven Genetic Algorithm) which combines the capabilities of LP and GA. The aim of this algorithm is to obtain the best meta-schedule for utility grids which minimize combined cost of all users in a coordinated manner. Simulation results show that our proposed integrated algorithm offers the best schedule having the minimum processing cost with negligible time overhead.

History

Publication title

Proceedings of the 16th International Conference on Advanced Computing and Communication 2008

Editors

RT Ram, ST Selvi, R Buyya

Pagination

19-26

ISBN

978-1-4244-2963-9

Department/School

School of Information and Communication Technology

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

United States of America

Event title

The 16th International Conference on Advanced Computing and Communication 2008

Event Venue

Chennai, India

Date of Event (Start Date)

2008-12-14

Date of Event (End Date)

2008-12-17

Rights statement

Copyright 2009 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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