Bitrate Adaptation-aware Cache Partitioning for Video Streaming over Information-Centric Networks

Li, Wenjie; Oteafy, Sharief M. A.; Fayed, Marwan; Hassanein, Hossam S.

doi:10.1109/lcn.2018.8638113

Cited by 8 publications

(5 citation statements)

References 23 publications

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“…One implication would be that the highest bitrate content should be placed where there is least congestion. Our investigations into adaptation-based caching dynamics show that bitrate oscillation patterns emerge with hop distance [11], [12]. The pattern that emerges suggests that high-bitrate content is most stable when retrieved from edge caches.…”

mentioning

confidence: 77%

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Quality of Experience in ICN: Keep Your Low- Bitrate Close and High-Bitrate Closer

Oteafy

Fayed

et al. 2021

IEEE/ACM Trans. Networking

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Recent studies into streaming media delivery suggest that performance gains from ubiquitous caching in Information-Centric Networks (ICN) may be negated by Dynamic Adaptive Streaming (DAS), the de facto method for retrieving multimedia content. Bitrate adaptation mechanisms, that drive video streaming, clash with caching mechanisms in ways that affect users' Quality of Experience (QoE). Cache performance also diminishes as consumers dynamically select content encoded at different bitrates. In this paper we use this evidence to draw a novel insight: in adaptive streaming over ICN, bitrates should be prioritized alongside popularity and hit rates. We build on this insight to propose RippleCache as a family of cache placement schemes that safeguard high-bitrate content at the edge and push low-bitrate content into the network core. Doing so reduces contention of cache resources, as well as congestion in the network. To validate RippleCache claims we construct two separate implementations. We design RippleClassic as a benchmark solution that optimizes content placement by maximizing a measure for ICNs shown to have high correlation with QoE. In addition, our lighter-weight RippleFinder is then re-designed with distributed execution for application in large-scale systems. RippleCache performance gains are reinforced by evaluations in NS-3 against state-of-the-art baseline approaches, using standard measures of QoE as defined by the DASH Industry Forum. Our results demonstrate that RippleClassic and RippleFinder deliver content that suffers less oscillation and rebuffering, all while achieving the highest levels of video quality; thus indicating overall improvements to QoE.

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confidence: 77%

“…The solutions that emerge place content in such a way that a RippleCache emerges. 2) RippleFinder is a distributed caching scheme that is built on our prior work [12] and executes in polynomialtime complexity. Execution begins at edge routers, from where cache partitions are created along the forwarding path to each video object origin.…”

mentioning

confidence: 99%

Quality of Experience in ICN: Keep Your Low- Bitrate Close and High-Bitrate Closer

Oteafy

Fayed

et al. 2021

IEEE/ACM Trans. Networking

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“…Implementing the probabilistic caching and buffer and reorder forwarding policies in this work has improved the player bitrate, video stall duration and frequency. In [34], a bitrate aware cache partitioning and placement scheme is discussed to provide good QoE in the DASH video streaming over ICN. The scheme helps stabilize the bandwidth/bitrate fluctuation by choosing content appropriate caching scheme.…”

Section: B Multimedia Streamingmentioning

confidence: 99%

Application Areas of Information-Centric Networking: State-of-the-Art and Challenges

Hurali

Patil

2022

IEEE Access

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The Information-Centric Network (ICN) paradigm has gained popularity since its inception. The host-based IP networks were not primarily designed to handle scenarios that it is exposed to on the current Internet. In that direction lot of research has been happening to develop applications such as web applications, multimedia streaming, the Internet of Things, Wireless Sensor Networks and Vehicular networks. In addition, new ICN application areas, such as social networks, Industrial IoTs, etc., are emerging. This review investigates the possible application areas and their deficiencies evenly, broadly and at a certain level of depth with focus on security, scalability, IP interoperability, modularity and other application specific aspects. We discuss the current state-of-the-art in these ICN-based applications and the existing limitations. A comparative analysis of the literary works available is performed to understand the research gaps available, and a detailed discussion of the challenges in each area is provided. We conclude the review with future challenges in the application development with the ICN paradigm to reap its architectural benefits.

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“…Li et al [38] investigated a caching scheme in which the high-bitrate segments are stored at the network edge while low-bitrate contents are pushed into the network core. With this cache partitioning, bitrate oscillation due to in-network cache is noticeably reduced while ensuring high-quality video playback.…”

Section: B Video Streaming Over Icnmentioning

confidence: 99%

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking

Hayamizu¹,

Goto

Bandai

et al. 2021

IEEE Access

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Adaptive Bitrate (ABR) algorithms used in MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) can be applied to video streaming over Information-Centric Networks (ICNs). However, in-network cache, which is an inherent and important feature of ICN, might negatively affect the Quality of Experience (QoE) of streaming users due to misestimating download throughput when fetching from the in-network cache. A promising solution to this problem is to use a Server and Network Assisted DASH (SAND)-like approach: ICN routers in the network notify a user application of the available bandwidth. However, with a naive network-assisted approach, the user application cannot fully utilize the cached segments when high-quality video segments are accidentally stored in the router on the user side of the congestion. In this paper, we propose an intelligent QoE-aware ABR selection method that works in cooperation with in-network Caching functions, called QoE-ABC. It is suitable for video streaming over an ICN. In QoE-ABC, QoE-aware adaptation logic running on the user application selects a bitrate that matches the bandwidth of the bottleneck in the original server or of any intermediate router on the download path depending on the situation. Only when the user-perceived QoE is expected to be improved, the user application tries to aggressively download high-quality segments from the in-network cache. Simulation results show that QoE-ABC can obtain high-quality video segments from in-network caches compared with the conventional ABR representatives and achieve high-level QoE performance for users with various preferences.

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Bitrate Adaptation-aware Cache Partitioning for Video Streaming over Information-Centric Networks

Cited by 8 publications

References 23 publications

Quality of Experience in ICN: Keep Your Low- Bitrate Close and High-Bitrate Closer

Quality of Experience in ICN: Keep Your Low- Bitrate Close and High-Bitrate Closer

Application Areas of Information-Centric Networking: State-of-the-Art and Challenges

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking

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