From theory to practice

Spiteri, Kevin; Sitaraman, Ramesh K.; Sparacio, Daniel

doi:10.1145/3204949.3204953

Cited by 70 publications

(8 citation statements)

References 16 publications

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“…Spiteri et al [28] formulated the video bitrate adaptation as a utility maximization problem and proposed BOLA, an online algorithm that uses Lyapunov optimization techniques, to select the bitrate for next segments based solely on the amount of data in the buffer. The authors also proposed DYNAMIC [29] that uses bandwidth estimation when the buffer level is low and switches to BOLA when the buffer level is high to minimise rebuffering and bitrate oscillations while maximising the average video bitrate. Yaqoob et al [16] proposed TBOA, a throughput and buffer occupancy-based adaptation scheme which downloads the first few segments with the lowest bitrate and adjusts the bitrates of the subsequent segments based on bandwidth estimations and buffer level.…”

Section: B Dash-based Adaptation Solutionsmentioning

confidence: 99%

An Innovative Adaptive Web-Based Solution for Improved Remote Co-Creation and Delivery of Artistic Performances

Togou,

Simiscuka,

Verma

et al. 2024

IEEE Trans. on Broadcast.

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Due to the COVID-19 pandemic, most arts and cultural activities have moved online. This has contributed to the surge in development of artistic tools that enable professional artists to produce engaging and immersive shows remotely. This article introduces TRACTION Co-Creation Stage (TCS), a novel Web-based solution, designed and developed in the context of the EU Horizon 2020 TRACTION project, which allows for remote creation and delivery of artistic shows. TCS supports multiple artists performing simultaneously, either live or pre-recorded, on multiple stages at different geographical locations. It employs a client-server approach. The client has two major components: Control and Display. The former is used by the production teams to create shows by specifying layouts, scenes, and media sources to be included. The latter is used by viewers to watch the various shows. To ensure viewers' good quality of experience (QoE) levels, TCS employs adaptive streaming based on a novel Prioritised Adaptation solution based on the DASH standard for pre-recorded content delivery (PADA), which is introduced in this paper. User tests and experiments are carried out to evaluate the performance of TCS' Control and Display applications and that of PADA algorithm when creating and distributing opera shows.

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Section: B Dash-based Adaptation Solutionsmentioning

confidence: 99%

An Innovative Adaptive Web-Based Solution for Improved Remote Co-Creation and Delivery of Artistic Performances

Togou,

Simiscuka,

Verma

et al. 2024

IEEE Trans. on Broadcast.

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“…ABR algorithms are complex, because they must manage the available bandwidth while maximizing the quality representation and minimizing the stall probability. Although ABR algorithms for traditional 2D video streaming have been extensively explored, recent investigations [1,28] show that it is still an open research problem. As an example, the possibility is demonstrated to significantly improve the performance of state-of-the-art ABR algorithms, namely BOLA [29] and MPC [35].…”

Section: Adaptive Bitrate Algorithms and Buffer Managementmentioning

confidence: 99%

“…It allows, for example, to investigate ABR algorithms when subjected to real-world networks. In the same direction, Spiteri et al [28] introduce Sabre, an open-source simulation tool that enables simulating ABR algorithms for 2D videos when subjected to realistic requirements.…”

Section: Adaptive Bitrate Algorithms and Buffer Managementmentioning

confidence: 99%

Dissecting the Performance of VR Video Streaming through the VR-EXP Experimentation Platform

Filho

Luizelli

Petrangeli

et al. 2019

ACM Trans. Multimedia Comput. Commun. Appl.

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To cope with the massive bandwidth demands of Virtual Reality (VR) video streaming, both the scientific community and the industry have been proposing optimization techniques such as viewport-aware streaming and tile-based adaptive bitrate heuristics. As most of the VR video traffic is expected to be delivered through mobile networks, a major problem arises: both the network performance and VR video optimization techniques have the potential to influence the video playout performance and the Quality of Experience (QoE). However, the interplay between them is neither trivial nor has it been properly investigated. To bridge this gap, in this article, we introduce VR-EXP, an open-source platform for carrying out VR video streaming performance evaluation. Furthermore, we consolidate a set of relevant VR video streaming techniques and evaluate them under variable network conditions, contributing to an in-depth understanding of what to expect when different combinations are employed. To the best of our knowledge, this is the first work to propose a systematic approach, accompanied by a software toolkit, which allows one to compare different optimization techniques under the same circumstances. Extensive evaluations carried out using realistic datasets demonstrate that VR-EXP is instrumental in providing valuable insights regarding the interplay between network performance and VR video streaming optimization techniques.

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“…Buffer-based approaches are more conservative than throughput-based approaches. Throughput-based approaches perform best when network bandwidths are stable, while buffer-based approaches are more robust in time-varying networks [36]. Recent algorithms are 'hybrid', using sophisticated mathematical approaches (e.g., neural networks, control theory, game theory) to optimise QoE metrics based on both throughput and buffer signals [8,17,31,41].…”

Section: Related Workmentioning

confidence: 99%

“…We use dash.js version 2.9.0 9 in the Mozilla Firefox browser as our DASH client, and nginx version 1.12.1 (with persistent HTTP connections and range-requests support enabled) as our DASH server. Our dash.js client uses the default 'Dynamic ABR' strategy, which combines both throughput and buffer-based algorithms [36]. We use FreeBSD and TCP NewReno on our DASH server and client.…”

Section: Creating Dash Flowsmentioning

confidence: 99%

Untitled

2019

ACM Trans. Multimedia Comput. Commun. Appl.

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Commercial streaming services such as Netflix and YouTube use proprietary HTTP-based adaptive streaming (HAS) techniques to deliver content to consumers worldwide. MPEG recently developed Dynamic Adaptive Streaming over HTTP (DASH) as a unifying standard for HAS-based streaming. In DASH systems, streaming clients employ adaptive bitrate (ABR) algorithms to maximise user Quality of Experience (QoE) under variable network conditions. In a typical Internet-enabled home, video streams have to compete with diverse application flows for the last-mile Internet Service Provider (ISP) bottleneck capacity. Under such circumstances, ABR algorithms will only act upon the fraction of the network capacity that is available, leading to possible QoE degradation. We have previously explored chunklets as an approach orthogonal to ABR algorithms, which uses parallel connections for intra-video chunk retrieval. Chunklets effectively make more bandwidth available for ABR algorithms in the presence of cross-traffic, especially in environments where Active Queue Management (AQM) schemes such as Proportional Integral controller Enhanced (PIE) and FlowQueue-Controlled Delay (FQ-CoDel) are deployed. However, chunklets consume valuable server/middlebox resources which typically handle hundreds of thousands of requests/connections per second. In this article, we propose 'adaptive chunklets'-a novel chunklet enhancement that dynamically tunes the number of concurrent connections. We demonstrate that the combination of adaptive chunklets and FQ-CoDel is the most effective strategy. Our experiments show that adaptive chunklets can reduce the number of connections by almost 30% and consume almost 8% less bandwidth than fixed chunklets while providing the same QoE.

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From theory to practice

Cited by 70 publications

References 16 publications

An Innovative Adaptive Web-Based Solution for Improved Remote Co-Creation and Delivery of Artistic Performances

An Innovative Adaptive Web-Based Solution for Improved Remote Co-Creation and Delivery of Artistic Performances

Dissecting the Performance of VR Video Streaming through the VR-EXP Experimentation Platform

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