Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility

TL;DR

This paper proposes a fog-to-cloud architecture utilizing network coding to minimize data download time in smart mobility applications, ensuring low latency and high reliability.

Contribution

It introduces an optimal distribution algorithm leveraging network coding for dynamic data placement in fog-cloud systems, reducing download time.

Findings

Significant reduction in data download time compared to other solutions.

Effective use of network coding enhances data distribution efficiency.

The architecture supports low latency and reliable smart mobility services.

Abstract

Industry 4.0 applications foster new business opportunities but they also pose new and challenging requirements, such as low latency communications and highly reliable systems. They enable to exploit novel wireless technologies (5G), but it would also be crucial to rely on architectures that appropriately support them. Thus, the combination of fog and cloud computing is emerging as one potential solution. It can dynamically allocate the workload depending on the specific needs of each application. Our main goal is to provide a highly reliable and dynamic architecture, which minimizes the time that an end node or user, for instance a car in a smart mobility application, spends in downloading the required data. In order to achieve this, we have developed an optimal distribution algorithm that decides, based on multiple parameters of the proposed system model, the amount of information that should be stored at, or retrieved from, each node to minimize the data download time. Our scheme exploits Network Coding (NC) as a tool for data distribution, as a key enabler of the proposed solution. We compare the performance of our proposed scheme with other alternative solutions, and the results show that there is a clear gain in terms of the download time.