Mobile Edge Computing – a Booster for the Practical Provisioning Approach of Web-Based Augmented Reality

Ren, Pei; Qiao, Xiuquan; Chen, Junliang; Dustdar, Schahram

doi:10.1109/sec.2018.00041

Cited by 44 publications

(13 citation statements)

References 2 publications

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“…The cloud hosts services that require more processing power. A MEC-based collaborative web AR solution which has the complimentary edge and cloud servers [78], reduces the network latency while decreasing the bandwidth usage of core networks. The edge server consists of MEC application platform, Web AR runtime environment and Web AR applications.…”

Section: Hybrid Architecturementioning

confidence: 99%

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

Siriwardhana

Porambage

Liyanage

et al. 2021

IEEE Commun. Surv. Tutorials

345

108

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The Augmented Reality (AR) technology enhances the human perception of the world by combining the real environment with the virtual space. With the explosive growth of powerful, less expensive mobile devices, and the emergence of sophisticated communication infrastructure, Mobile Augmented Reality (MAR) applications are gaining increased popularity. MAR allows users to run AR applications on mobile devices with greater mobility and at a lower cost. The emerging 5G communication technologies act as critical enablers for future MAR applications to achieve ultra-low latency and extremely high data rates while Multi-access Edge Computing (MEC) brings enhanced computational power closer to the users to complement MAR. This paper extensively discusses the landscape of MAR through the past and its future prospects with respect to the 5G systems and complementary technology MEC. The paper especially provides an informative analysis of the network formation of current and future MAR systems in terms of cloud, edge, localized, and hybrid architectural options. The paper discusses key application areas for MAR and their future with the advent of 5G technologies. The paper also discusses the requirements and limitations of MAR technical aspects such as communication, mobility management, energy management, service offloading and migration, security, and privacy and analyzes the role of 5G technologies.

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Section: Hybrid Architecturementioning

confidence: 99%

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

Siriwardhana

Porambage

Liyanage

et al. 2021

IEEE Commun. Surv. Tutorials

345

108

View full text Add to dashboard Cite

show abstract

“…9. In the meantime, there are already some efforts on this promising computing paradigm [82]- [88]. Because of the native support of MEC technology in 5G networks, the development of Web AR services will become easy and convenient.…”

Section: ) From Computing Aspect: Pose Tracking and Evenmentioning

confidence: 99%

Web AR: A Promising Future for Mobile Augmented Reality—State of the Art, Challenges, and Insights

et al. 2019

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“…For wearable AR devices, fog computing provides a convenient opportunity to off-load parts of these computationally demanding tasks, thus reducing their energy consumption. Two of the reviewed papers [30], [34] explicitly considered energy as a parameter for optimization when deciding to off-load tasks, while two other papers [10], [35] only show that the energy consumption of AR devices is reduced compared to when the computation is done locally and in the cloud.…”

Section: B Energy Optimizationmentioning

confidence: 99%

Fog Computing for Augmented Reality: Trends, Challenges and Opportunities

Salman

Sitompul

Papadopoulos

et al. 2020

2020 IEEE International Conference on Fog Computing (ICFC)

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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.

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Mobile Edge Computing – a Booster for the Practical Provisioning Approach of Web-Based Augmented Reality

Cited by 44 publications

References 2 publications

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

Web AR: A Promising Future for Mobile Augmented Reality—State of the Art, Challenges, and Insights

Fog Computing for Augmented Reality: Trends, Challenges and Opportunities

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