345,397 research outputs found
Market Model and Optimal Pricing Scheme of Big Data and Internet of Things (IoT)
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
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery
Deep learning tasks are often complicated and require a variety of components
working together efficiently to perform well. Due to the often large scale of
these tasks, there is a necessity to iterate quickly in order to attempt a
variety of methods and to find and fix bugs. While participating in IARPA's
Functional Map of the World challenge, we identified challenges along the
entire deep learning pipeline and found various solutions to these challenges.
In this paper, we present the performance, engineering, and deep learning
considerations with processing and modeling data, as well as underlying
infrastructure considerations that support large-scale deep learning tasks. We
also discuss insights and observations with regard to satellite imagery and
deep learning for image classification.Comment: Accepted to IEEE Big Data 201
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