Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)

TL;DR

This paper develops a market model and optimal pricing scheme for big data and IoT services, integrating data utility analysis with economic modeling to maximize provider profits.

Contribution

It introduces a novel market model and pricing scheme for big data and IoT, combining data utility functions with economic analysis.

Findings

Proposed data utility functions are validated by case studies.

Numerical results show profit maximization for service providers.

Market model effectively guides pricing strategies.

Abstract

Big data has been emerging as a new approach in utilizing large datasets to optimize complex system operations. Big data is fueled with Internet-of-Things (IoT) services that generate immense sensory data from numerous sensors and devices. While most current research focus of big data is on machine learning and resource management design, the economic modeling and analysis have been largely overlooked. This paper thus investigates the big data market model and optimal pricing scheme. We first study the utility of data from the data science perspective, i.e., using the machine learning methods. We then introduce the market model and develop an optimal pricing scheme afterward. The case study shows clearly the suitability of the proposed data utility functions. The numerical examples demonstrate that big data and IoT service provider can achieve the maximum profit through the proposed market model.