Journal article
A heuristic approach for the allocation of resources in large-scale computing infrastructures
Concurrency and Computation: Practice and Experience, Vol.28(5), pp.1527-1547
2015
Abstract
An increasing number of enterprise applications are intensive in their consumption of IT but are infrequently used. Consequently, either organizations host an oversized IT infrastructure or they are incapable of realizing the benefits of new applications. A solution to the challenge is provided by the large-scale computing infrastructures of clouds and grids, which allow resources to be shared. A major challenge is the development of mechanisms that allow efficient sharing of IT resources. Market mechanisms are promising, but there is a lack of research in scalable market mechanisms. We extend the multi-attribute combinatorial exchange mechanism with greedy heuristics to address the scalability challenge. The evaluation shows a trade-off between efficiency and scalability. There is no statistical evidence for an influence on the incentive properties of the market mechanism. This is an encouraging result as theory predicts heuristics to ruin the mechanism's incentive properties.
Details
- Title
- A heuristic approach for the allocation of resources in large-scale computing infrastructures
- Authors/Creators
- K. Lee (Author/Creator) - Nottingham Trent UniversityG. Buss (Author/Creator) - University of MannheimD. Veit (Author/Creator) - University of Augsburg
- Publication Details
- Concurrency and Computation: Practice and Experience, Vol.28(5), pp.1527-1547
- Publisher
- John Wiley & Sons Ltd
- Identifiers
- 991005540196407891
- Copyright
- © 2015 John Wiley & Sons, Ltd.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.46 Distributed & Real Time Computing
- 4.46.85 Cloud Resource Scheduling
- Web Of Science research areas
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- ESI research areas
- Computer Science