Service Chaining Graph: Latency- and Energy-aware Mobile VR Deployment over MEC Infrastructures

Medeiros, Alisson; Maio, Antonio Di; Braun, Torsten; Neto, Augusto

doi:10.1109/globecom48099.2022.10001403

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…As energy consumption in VR networks and latency are highly correlated, there is a growing trend on the research of investigating the trade-off between these two crucial performance metrics [103], [231], [250], [255], [260].…”

Section: Trade-off Between Latency and Energy Efficiencymentioning

confidence: 99%

“…Another work on LSTM-based learning strategy powered energy-latency tradeoff was presented in [250]. A service chaining graph (SCG)-based mechanism for achieving latency-energy tradeoff in a MEC-based wireless VR network was proposed in [260]. The proposal splits each VR application into atomic services comprising a chain and then deploys them across HMDs and MEC servers according to an optimization problem for jointly minimizing latency and energy consumption and achieving the trade-off.…”

Section: Trade-off Between Latency and Energy Efficiencymentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Hossain,

Jamalipour,

Munasinghe

2023

Preprint

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<p>The purpose of this paper is to offer a comprehensive survey on the major technical issues and current research trends in supporting VR services over wireless networks. Additionally, the paper explores the fundamentals of VR technologies, applications, QoE requirements, spectrum requirements and key enabling technologies. Finally, a comprehensive discussion regarding potential research directions aimed at enhancing wireless VR experiences is also presented. Thus, this survey paper is structured to provide a strong baseline for the researchers working in wireless VR systems.</p>

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Section: Trade-off Between Latency and Energy Efficiencymentioning

confidence: 99%

Section: Trade-off Between Latency and Energy Efficiencymentioning

confidence: 99%

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Hossain,

Jamalipour,

Munasinghe

2023

Preprint

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show abstract

“…TENET also optimizes the selection of better video resolutions for VR systems. TENET is an extension of our previous work, which addresses the trade-off between E2E latency and power consumption [15]. However, TENET extends our previous work [15] by considering new algorithms, architecture, and Key Performance Indicators (KPIs).…”

Section: Introductionmentioning

confidence: 99%

TENET: Adaptive Service Chain Orchestrator for MEC-Enabled Low-Latency 6DoF Virtual Reality

Medeiros,

Maio,

Braun

et al. 2024

IEEE Trans. Netw. Serv. Manage.

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The next generation of Virtual Reality (VR) applications is expected to provide advanced experiences through Six Degrees of Freedom (6DoF) content, which requires higher data rates and ultra-low latency. In this article, we refactor 6DoF VR applications into atomic services to increase the computing capacity of VR systems aiming to reduce the end-to-end (E2E) of 6DoF VR applications. Those services are chained and deployed across Head-Mounted Displays (HMDs) and Multi-access Edge Computing (MEC) servers in high mobility scenarios over realedge network topologies. We investigate the Distributed Service Chain Problem (DSCP) to find the optimal service placement of services from a service chain such that its E2E latency does not exceed 5 ms. The DSCP problem is N P-hard. We provide an integer linear program to model the system, along with a heuristic, namely disTributed sErvice chaiN orchEstraTor (TENET), which is one order of magnitude faster than optimally solving the DSCP problem. We compare TENET to DSCP implementation and well-known service migration algorithms in terms of E2E latency, power consumption, video resolution selection based on E2E latency, context migrations, and execution time. We observe a significant reduction of E2E latency and gains in more advanced video resolution selection and accepted context service migrations when using TENET's deployment strategy on VR services.

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Mobility-aware Service Function Chaining Orchestration for Multi-user Augmented Reality

Santos,

Martins,

Rosário

et al. 2023

2023 IEEE 48th Conference on Local Computer Networks (LCN)

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Service Chaining Graph: Latency- and Energy-aware Mobile VR Deployment over MEC Infrastructures

Cited by 5 publications

References 11 publications

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

TENET: Adaptive Service Chain Orchestrator for MEC-Enabled Low-Latency 6DoF Virtual Reality

Mobility-aware Service Function Chaining Orchestration for Multi-user Augmented Reality

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