QoS aware dynamic pricing and scheduling in wireless cloud computing

With the gradual development of Cloud Computing, the model of work and business will fundamentally change in the future. Current market trading mechanism under the cloud computing environment is lacking in flexibility and most of companies adopt a fixed-rate pricing model, which is difficult to meet the different needs of users. Based on cloud bank model, this paper introduces economic theory to provide a theoretical basis for the development of resource prices and propose a dynamic pricing strategy and maximize utility resource selection strategy based on market supply and demand and credit for cloud bank. In the last part of this paper, we use simulation platform to do a simple experiment to test this dynamic pricing strategy. Experiment result shows the pricing strategy could adjust computing resource prices automatically under the general market price rule conditions and maximize utility resource selection strategy could get the max utility for resource consumers.

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A Novel Cost Optimization Method for Mobile Cloud Computing by Capacity Planning of Green Data Center With Dynamic Pricing

Canadian Journal of Electrical and Computer Engineering ◽

10.1109/cjece.2019.2890833 ◽

2019 ◽

Vol 42 (1) ◽

pp. 41-51

Author(s):

Hassan Yeganeh ◽

Ahmad Salahi ◽

Mohammad Ali Pourmina

Keyword(s):

Cloud Computing ◽

Data Center ◽

Dynamic Pricing ◽

Capacity Planning ◽

Mobile Cloud Computing ◽

Cost Optimization ◽

Optimization Method ◽

Mobile Cloud ◽

Green Data Center

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Auction-Based Pricing in Cloud Environment

Encyclopedia of Organizational Knowledge, Administration, and Technology - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-7998-3473-1.ch008 ◽

2021 ◽

pp. 86-97

Author(s):

Branka Mikavica ◽

Aleksandra Kostic-Ljubisavljevic

Keyword(s):

Cloud Computing ◽

Dynamic Pricing ◽

Rapid Development ◽

Supply And Demand ◽

Bidding Strategy ◽

Cloud Environment ◽

Allocation Mechanism ◽

Bidding Strategies ◽

Selection Of ◽

Cloud Resources

The rapid development of cloud computing requires improvement of pricing and allocation mechanisms of cloud resources. Dynamic pricing and allocation mechanisms are considered convenient, due to characteristics of cloud resources and the fact that demand for cloud resources is not uniform. The aims of such a mechanism are to optimize the utilization of cloud resources, to maximize cloud providers' revenues, and to minimize prices for cloud customers. Auction-based pricing and allocation mechanisms are often used since resources are allocated to the customers that value them the most, and prices are determined depending on the supply and demand conditions. Selection of an appropriate bidding strategy is a very important issue and requires the comprehensive approach. This chapter analyses the benefits of auction-based pricing and allocation mechanism in the cloud environment. In addition, the effects of different bidding strategies application are addressed.

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