Distributed Caching Algorithms in the Realm of Layered Video Streaming

Poularakis, Konstantinos; Iosifidis, George; Argyriou, Antonios; Koutsopoulos, Iordanis

doi:10.1109/tmc.2018.2850818

Cited by 30 publications

(23 citation statements)

References 30 publications

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“…Edge caching has been proposed as an efficient way to improve the performance of cellular networks in terms of the observed delivery delay [5]- [10], energy consumption [17], and operating cost [18]. These benefits of edge caching are attributed to the fact that only a small portion of available content accounts for most of the traffic load [19].…”

Section: Related Workmentioning

confidence: 99%

“…Caching systems can be further improved and offer higher QoE to the end users by exploiting video encoding into multiple layers (layered video) which can be done by scalable coders such as [23]. Specifically, in [9], [10], the flexibility in caching decisions coming from encoding in multiple layers is used to minimize the delivery delay at the end-users by allowing the video layers to be cached at different SBSs of a network operator. To solve the problem a pseudo-polynomial approximation algorithm is proposed.…”

Section: Related Workmentioning

confidence: 99%

“…For a similar setting, another heuristic algorithm is presented in [24]. The work in [10] also examines the case of several network operators collaboratively optimizing their caching strategies. In this setting, SBSs' cache space is split into two parts: one allocated for contents requested by users of the operator who owns the cache and a second which is given for caching video layers of content requested by users who belong to other operators.…”

Section: Related Workmentioning

confidence: 99%

“…Despite the existence of edge caching solutions for video [5]- [10], they are not readily deployable for the caching of 360 o video files. This is due to the fact that the consumption pattern of 360 o video content is significantly different from that of the single view video.…”

Section: Introductionmentioning

confidence: 99%

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Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks

Maniotis

Bourtsoulatze

Thomos

2020

IEEE Trans. Multimedia

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The recent surge of applications involving the use of 360 o video challenges mobile networks infrastructure, as 360 o video files are of significant size, and current delivery and edge caching architectures are unable to guarantee their timely delivery. In this paper, we investigate the problem of joint collaborative content-aware caching and delivery of 360 o videos in a video on demand setting. The proposed scheme takes advantage of 360 o video encoding in multiple tiles and layers to make fine-grained decisions regarding which tiles to cache in each Small Base Station (SBS), and where to deliver them from to the end users, as users may reside in the coverage area of multiple SBSs. This permits to cache the most popular tiles in the SBSs, while the remaining tiles may be obtained through the backhaul. In addition, we explicitly consider the time delivery constraints to ensure continuous video playback. To reduce the computational complexity of the optimization problem, we simplify it by introducing a fairness constraint. This allows us to split the original problem into subproblems corresponding to Groups of Pictures (GOP). Each of the subproblems is then solved with the method of Lagrange partial relaxation. Finally, we evaluate the performance of the proposed method for various system parameters and compare it with schemes that do not consider 360 o video encoding into multiple tiles and quality layers, as well as with two variants of the proposed method: one that considers layered encoding and SBSs collaboration and another that uses tiles encoding but with no SBSs collaboration. The results showcase the benefits coming from caching and delivery decisions on per tile basis and the importance of exploiting SBSs collaboration.Index Terms-Collaborative caching, 360 o video, tile encoding, layered video, distortion optimization.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks

Maniotis

Bourtsoulatze

Thomos

2020

IEEE Trans. Multimedia

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“…In order to avoid this consequence without having to introduce costly and complex guaranteed bandwidth mechanisms, playout buffers and stream switching solutions has become industry standards [30]. Optimization techniques [42], [54], [4], [21] have been used in an effort to help adaptive video players select appropriate segments during the streaming process. One very promising technique is Q-learning [41], [18], [47].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2019

IJANA

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Q-Learning is an important class of stochastic optimization which has recently been used in the area of dynamic adaptive streaming over HTTP (DASH). Though DASH is very popular method of video delivery in recent years it is plagued with problems when multiple players share a bottleneck link. Thus, this area has become a very active area of research. Two works which implement Q-Learning in DASH are selected and their performances compared against the Conventional DASH player. It is shown that Q-Learning works well for various network conditions.

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Adaptive Handover Scheme for Mulit-mode Device in Power Wireless Heterogeneous Networks

Shao

Zhang

et al. 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Distributed Caching Algorithms in the Realm of Layered Video Streaming

Cited by 30 publications

References 30 publications

Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks

Tile-Based Joint Caching and Delivery of 360° Videos in Heterogeneous Networks

Untitled

Adaptive Handover Scheme for Mulit-mode Device in Power Wireless Heterogeneous Networks

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