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Fog Computing for Augmented Reality: Trends, Challenges and Opportunities
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. ABB, Sweden.ORCID iD: 0000-0001-8082-8315
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. CrossControl, Sweden.ORCID iD: 0000-0002-1930-4181
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Augmented reality applications are computationally intensive and have latency requirements in the range of 15-20 milliseconds. Fog computing addresses these requirements by providing on-demand computing capacity and lower latency by bringing the computational resources closer to the augmented reality devices. In this paper, we reviewed papers providing custom solutions for augmented reality using the fog architecture and identified that the ongoing research trends towards balancing quality-of-experience, energy, and latency for both single and collaborative multi-device augmented reality applications. Furthermore, some works also focus on providing architectures for fog-based augmented reality systems and also on the training of machine learning algorithms in the fog layers to improve user experience. Based on these findings, we provide some challenges and research directions that can facilitate the adoption of fog-based augmented reality systems.

Place, publisher, year, edition, pages
Sydney, Australia, 2020. p. 56-63
Keywords [en]
fog computing, edge computing, cloudlets, augmented reality, trends, challenges, opportunities
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-48106DOI: 10.1109/ICFC49376.2020.00017ISI: 000589694600008Scopus ID: 2-s2.0-85086444503ISBN: 978-1-7281-1086-8 (electronic)OAI: oai:DiVA.org:mdh-48106DiVA, id: diva2:1434528
Conference
2020 IEEE International Conference on Fog Computing (ICFC 2020)
Projects
Fog Computing for Robotics and Industrial Automation (FORA)Immersive Visual Technologies for Safety-critical Applications (ImmerSAFE)Future factories in the cloud (FiC)Safe and Secure Adaptive Collaborative Systems (SACSys)
Funder
EU, Horizon 2020, 764785Available from: 2020-06-03 Created: 2020-06-03 Last updated: 2023-09-12Bibliographically approved

Open Access in DiVA

fulltext(157 kB)422 downloads
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File name FULLTEXT01.pdfFile size 157 kBChecksum SHA-512
d2ce81d293ed7e861415916bdb35639a2f4ecd8ab59fa7597014937d44559da74143edeca089c978ccd1d244fb0cebf29092ecb8db48c1996dd1f5341e4e7a26
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopushttps://ieeexplore.ieee.org/abstract/document/9103475

Authority records

Salman Shaik, MohammadSitompul, Taufik AkbarPapadopoulos, AlessandroNolte, Thomas

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