scholarly journals Optimal pricing using online auction experiments: A Pólya tree approach

2012 ◽  
Vol 6 (1) ◽  
pp. 55-82 ◽  
Author(s):  
Edward I. George ◽  
Sam K. Hui
Keyword(s):  
Online Auction ◽  
Optimal Pricing ◽  
Polya Tree ◽  
Tree Approach

Estimating the Lorenz curve and Gini index with right censored data: a Polya tree approach

METRON ◽  
2013 ◽  
Vol 71 (2) ◽  
pp. 105-122 ◽  
Author(s):  
Chiara Gigliarano ◽  
Pietro Muliere
Keyword(s):  
Censored Data ◽  
Lorenz Curve ◽  
Gini Index ◽  
Right Censored Data ◽  
Polya Tree ◽  
The Lorenz Curve ◽  
Tree Approach

Optimal Pricing for Mobile Video Streaming in 3G Wireless Packet Networks

2012 ◽  
Vol 2 (2) ◽  
pp. 134-136
Author(s):  
Ch. Divya Ch. Divya ◽  
◽  
Dr. P. Govardhan Dr. P. Govardhan
Keyword(s):  
Video Streaming ◽  
Optimal Pricing ◽  
Packet Networks ◽  
Mobile Video ◽  
Mobile Video Streaming ◽  
Wireless Packet

Risk Management and Optimal Pricing in Online Storage Grids

2008 ◽  
Author(s):  
Sanjukta Das ◽  
Anna Ye Du ◽  
Ram D. Gopal ◽  
Ram Ramesh
Keyword(s):  
Risk Management ◽  
Optimal Pricing ◽  
Online Storage

Linear Programming Based Near-Optimal Pricing for Laminar Bayesian Online Selection

2019 ◽  
Author(s):  
Nima Anari ◽  
Rad Niazadeh ◽  
Amin Saberi ◽  
Ali Shameli
Keyword(s):  
Linear Programming ◽  
Optimal Pricing

Resource Allocation in Cloud using Multi Bidding Model with User Centric Behavior Analysis

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan
Keyword(s):  
Resource Allocation ◽  
Behavior Analysis ◽  
User Behavior ◽  
Low Cost ◽  
Cloud Services ◽  
Online Auction ◽  
Analysis Model ◽  
Efficient Resource ◽  
User Centric ◽  
Cloud Resources

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.

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