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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, RThe 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 2008Editors
RT Ram, ST Selvi, R BuyyaPagination
19-26ISBN
978-1-4244-2963-9Department/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United States of AmericaEvent title
The 16th International Conference on Advanced Computing and Communication 2008Event Venue
Chennai, IndiaDate of Event (Start Date)
2008-12-14Date of Event (End Date)
2008-12-17Rights statement
Copyright 2009 IEEERepository Status
- Restricted