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A dynamic pricing reverse auction-based resource allocation mechanism in cloud workflow systems

Li, Xuejun, Ding, Ruimiao, Liu, Xiao, Liu, Xiangjun, Zhu, Erzhou and Zhong, Yunxiang 2016, A dynamic pricing reverse auction-based resource allocation mechanism in cloud workflow systems, Scientific programming, vol. 2016, Article number: 7609460, pp. 1-13, doi: 10.1155/2016/7609460.

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Title A dynamic pricing reverse auction-based resource allocation mechanism in cloud workflow systems
Author(s) Li, Xuejun
Ding, Ruimiao
Liu, Xiao
Liu, Xiangjun
Zhu, Erzhou
Zhong, Yunxiang
Journal name Scientific programming
Volume number 2016
Season Article number: 7609460
Start page 1
End page 13
Total pages 13
Publisher Hindawi
Place of publication New York, N.Y.
Publication date 2016
ISSN 1058-9244
1875-919X
Summary Market-oriented reverse auction is an efficient and cost-effective method for resource allocation in cloud workflow systems since it can dynamically allocate resources depending on the supply-demand relationship of the cloud market. However, during the auction the price of cloud resource is usually fixed, and the current resource allocation mechanisms cannot adapt to the changeable market properly which results in the low efficiency of resource utilization. To address such a problem, a dynamic pricing reverse auction-based resource allocation mechanism is proposed. During the auction, resource providers can change prices according to the trading situation so that our novel mechanism can increase the chances of making a deal and improve efficiency of resource utilization. In addition, resource providers can improve their competitiveness in the market by lowering prices, and thus users can obtain cheaper resources in shorter time which would decrease monetary cost and completion time for workflow execution. Experiments with different situations and problem sizes are conducted for dynamic pricing-based allocation mechanism (DPAM) on resource utilization and the measurement of Time∗Cost (TC). The results show that our DPAM can outperform its representative in resource utilization, monetary cost, and completion time and also obtain the optimal price reduction rates.
Language eng
DOI 10.1155/2016/7609460
Field of Research 080599 Distributed Computing not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089349

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.