Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-13119-6_30
Title: Strategy-proof dynamic resource pricing of multiple resource types on federated clouds
Authors: Mihailescu, M. 
Teo, Y.M. 
Issue Date: 2010
Source: Mihailescu, M.,Teo, Y.M. (2010). Strategy-proof dynamic resource pricing of multiple resource types on federated clouds. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6081 LNCS (PART 1) : 337-350. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-13119-6_30
Abstract: There is growing interest in large-scale resource sharingwith emerging architectures such as cloud computing, where globally distributed and commoditized resources can be shared and traded. Federated clouds, a topic of recent interest, aims to integrate different types of cloud resources from different providers, to increase scalability and reliability. In federated clouds, users are rational and maximize their own interest when consuming and contributing shared resources, while globally distributed resource supply and demand changes as users join and leave the cloud dynamically over time. In this paper, we propose a dynamic pricing scheme for multiple types of shared resources in federated clouds and evaluate its performance. Fixed pricing, currently used by cloud providers, does not reflect the dynamic resource price due to the changes in supply and demand. Using simulations, we compare the economic and computational efficiencies of our proposed dynamic pricing scheme with fixed pricing. We show that the user utility is increased, while the percentage of successful buyer requests and the percentage of allocated seller resources is higher with dynamic pricing. © Springer-Verlag Berlin Heidelberg 2010.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41916
ISBN: 3642131182
ISSN: 03029743
DOI: 10.1007/978-3-642-13119-6_30
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

16
checked on Dec 11, 2017

Page view(s)

48
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.