Co-Optimizing Latency and Energy with Learning Based 360° Video Edge Caching Policy

Yu, Zhendong; Liu, Jiayi; Liu, Sijia; Yang, Qinghai

doi:10.1109/wcnc51071.2022.9771944

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…Storage and computation resources are allocated jointly to improve cache hit rate and reduce latency and transmission cost. The authors in References 20–23 use similar solutions to optimize VR video transmission.…”

Section: Related Workmentioning

confidence: 99%

OJUMP: Optimization for joint unicast‐multicast panoramic VR live streaming system

Pan,

Zeng,

Zhuang

et al. 2023

Trans Emerging Tel Tech

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Virtual reality (VR) videos have garnered increasing attention due to their ability to deliver immersive multimedia experiences to users. Nonetheless, the demanding requirements of high bandwidth and low latency for VR services present significant challenges, especially in the context of network infrastructure. In this article, we introduce a novel system called OJUMP, aimed at Optimizing the transmission and distribution of Joint Unicast‐Multicast Panoramic video field of view live streaming using Bit Index Explicit Replication (BIER). The proposed system encompasses a BIER‐based network transmission approach that enhances video transmission efficiency and facilitates large‐scale service deployment. Furthermore, OJUMP includes a dynamic disk‐state‐based tile slice distribution storage algorithm and a prefetch method designed for edge nodes to enhance the distribution efficiency of live streaming services. Experimental results illustrate that the proposed system offers distinct advantages over the baseline system in terms of bandwidth, latency, disk utilization, and central processing unit utilization.

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Section: Related Workmentioning

confidence: 99%

OJUMP: Optimization for joint unicast‐multicast panoramic VR live streaming system

Pan,

Zeng,

Zhuang

et al. 2023

Trans Emerging Tel Tech

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“…In [26], the authors formulate the wireless caching problem as a contextual MAB problem, which considers that similar content preference is often shared by the users with similar features. In [27], the authors utilized CMAB to formulate the optimal caching policy for 360-degree videos to co-optimize users' quality of experience (QoE) and MEC energy consumption.…”

Section: Mab-based Caching Strategymentioning

confidence: 99%

“…We plug ( 23) into (27), and use the fact that c b ≤ t < c b+1 and t ≥ L + 1. The bound of Sw B (t) is given by:…”

Section: Proof Of Theoremmentioning

confidence: 99%

Bandit Learning-Based Edge Caching for 360-Degree Video Streaming With Switching Cost

Liu

Wang

et al. 2022

IEEE Access

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“…In the existing works, VR video streaming research almost always divides VR video into tiles and system mainly transmits the content in FoV [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. There are also many articles study caching algorithm that can cache popular content on the edge server to reduce remote request delay [4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Online Caching Algorithm for VR Video Streaming in Mobile Edge Caching System

Liu,

Chen,

et al. 2024

Mobile Netw Appl

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The transmission optimization of VR video streaming can improve the quality of user experience, which includes content prediction optimization and caching strategy optimization. Existing work either focuses on content prediction or on caching strategy. However, in the end-edge-cloud system, prediction and caching should be considered together. In this paper, we jointly optimize the four stages of prediction, caching, computing and transmission in mobile edge caching system, aimed to maximize the user's quality of experience. In terms of caching strategy, we design a caching algorithm VIE with unknown future request content, which can efficiently improve the content hit rate, as well as the durations for prediction, computing and transmission. The VIE caching algorithm is proved to be ahead of other algorithms in terms of delay. We optimize the four stages under arbitrary resource allocation and simulate the proposed caching algorithm according to the degree of overlap, as well as completion rate. Finally, under the real scenario, the proposed caching algorithm is verified by comparing with several other caching algorithms, simulation results show that the user's QoE is improved under the proposed caching algorithm.

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Co-Optimizing Latency and Energy with Learning Based 360° Video Edge Caching Policy

Cited by 11 publications

References 9 publications

OJUMP: Optimization for joint unicast‐multicast panoramic VR live streaming system

OJUMP: Optimization for joint unicast‐multicast panoramic VR live streaming system

Bandit Learning-Based Edge Caching for 360-Degree Video Streaming With Switching Cost

Online Caching Algorithm for VR Video Streaming in Mobile Edge Caching System

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