Paper Info
Title
A Dynamic Pricing Reverse Auction-Based Resource Allocation Mechanism in Cloud Workflow Systems.
Abstract
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.
Year
DOI
Venue
2016
10.1155/2016/7609460
Scientific Programming
Field
DocType
Volume
Dynamic pricing,Computer science,Parallel computing,Operations research,Resource allocation,Reverse auction,Workflow,Cloud workflow,Cloud computing
Journal
2016
ISSN
Citations 
PageRank 
1058-9244
1
0.36
References 
Authors
29
6
Name
Order
Citations
PageRank
Xuejun Li13413.95
Ruimiao Ding210.36
Xiao Liu311115.20
Xiangjun Liu410.36
Erzhou Zhu5101.94
Yunxiang Zhong610.69