Upscaling Fog Computing in Oceans for Underwater Pervasive Data Science Using Low-Cost Micro-Clouds

Author:

Dar Farooq1ORCID,Liyanage Mohan1ORCID,Radeta Marko2ORCID,Yin Zhigang1ORCID,Zuniga Agustin3ORCID,Kosta Sokol4ORCID,Tarkoma Sasu3ORCID,Nurmi Petteri3ORCID,Flores Huber1ORCID

Affiliation:

1. University of Tartu, Tartu, Estonia

2. Wave Labs, MARE/ARNET/ARDITI, University of Madeira, University of Belgrade, Beograd Serbia, Portugal

3. University of Helsinki, Yliopistonkatu Helsinki, Finland

4. Aalborg University, Aalborg, Denmark

Abstract

Underwater environments are emerging as a new frontier for data science thanks to an increase in deployments of underwater sensor technology. Challenges in operating computing underwater combined with a lack of high-speed communication technology covering most aquatic areas means that there is a significant delay between the collection and analysis of data. This in turn limits the scale and complexity of the applications that can operate based on these data. In this article, we develop underwater fog computing support using low-cost micro-clouds and demonstrate how they can be used to deliver cost-effective support for data-heavy underwater applications. We develop a proof-of-concept micro-cloud prototype and use it to perform extensive benchmarks that evaluate the suitability of underwater micro-clouds for diverse underwater data science scenarios. We conduct rigorous tests in both controlled and field deployments, using river and sea waters. We also address technical challenges in enabling underwater fogs, evaluating the performance of different communication interfaces and demonstrating how accelerometers can be used to detect the likelihood of communication failures and determine which communication interface to use. Our work offers a cost-effective way to increase the scale and complexity of underwater data science applications, and demonstrates how off-the-shelf devices can be adopted for this purpose.

Funder

LARGESCALE

INTERWHALE

INTERTAGUA

FCT

MARE

Associate Laboratory ARNET

European Social Fund via “ICT programme” measure, Estonian Center of Excellence in ICT Research

Academy of Finland

Publisher

Association for Computing Machinery (ACM)

Subject

Software,Information Systems,Hardware and Architecture,Computer Science Applications,Computer Networks and Communications

Reference81 articles.

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