A survey of application-layer multicast protocols

Hosseini, Mojtaba; Ahmed, Dewan Tanvir; Shirmohammadi, Shervin; Georganas, N.D.

doi:10.1109/comst.2007.4317616

Cited by 249 publications

(116 citation statements)

References 46 publications

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“…However, when real conditions (such as bandwidths, delays, or displaying screen sizes) do not allow, upper layers can be discarded along the transmission link or at any middle box (relaying entities) for the bit-stream to be fit-in with those conditions without corrupting the video communication session. Beside scalable video coding, modern multimedia services often rely on Application Layer Multicast (ALM) [2] to serve a large group of subscriber with heterogeneous network and terminal capacities (e.g., IPTV, video conferencing services...). The key concept of ALM is the implementation of multicasting functionality as an application service instead of a network service.…”

Section: Introductionmentioning

confidence: 99%

Scalable Video Transmission on Overlay Networks

Le¹,

Nguyen²,

Zhang³

2010

2010 Second International Conferences on Advances in Multimedia

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Abstract-Scalable Video Coding is the multi-layer extension of Advanced Video Coding with the advantage of providing visual services for customers with heterogeneous network conditions and terminals' capabilities. In this research, advanced features of Scalable Video Coding are investigated and compared with Advanced Video Coding. A new video transmission evaluation platform is proposed to support the latest Network Abstract Layer Units of Scalable Video Coding. A new interface between the scalable video evaluation platform and an overlay simulation platform is developed so that the transmission performance of Scalable Video Coding bit-streams on an overlay network will be evaluated. Both structural similarity index (SSIM) and peak signal-to-noise ratio (PSNR) measurements are applied to evaluate the performance of the video transmission session. New measurement results are also provided so that other SVC-based service designers can select the right video scalability for their service.

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Section: Introductionmentioning

confidence: 99%

Scalable Video Transmission on Overlay Networks

Le¹,

Nguyen²,

Zhang³

2010

2010 Second International Conferences on Advances in Multimedia

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“…IPM is also prone to flooding attacks and billing issues [12]. On other hand, ALM can be implemented as an overlay of unicast links that provides a virtual multicast network [13]. ALM overcomes the challenges of IPM but provides less efficiency in terms of bandwidth and delay.…”

Section: Fig 2 Application Layer Multicasting [13]mentioning

confidence: 99%

Comparison of Performance Efficiency of Improved Network Coding Multicast Algorithms using Data Envelopment Analysis

Joseph¹,

Matthew²,

Iliya³

et al. 2016

CAE

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In this paper, comparison of multicast algorithms was carried out in terms of performance Efficiency using Constant Return to Scale (CRS) and Variable Return to Scale (VRS) Model. The Improved Network Coding Algorithm (INCA) which was developed to minimize the consumption of Bandwidth during multicasting was used. The aim of the INCA is achieving cost effective multicast in order to encourage group communication over the internet. Data Envelopment Analysis was applied on the results obtained from the INCA in order to determine their performance efficiency using a number of input parameters. Simulation results obtained showed that the VRS Model performs better than the CRS Model.

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“…Rather, in our work, we aim to construct a set of delivery trees that achieves our optimization goal. Numerous work have studied multi-tree packing for peerto-peer application-layer multicast protocols (see [38] for a survey). The goal is to span all nodes under application-related optimization objective (e.g., to minimize tree height, or to reduce controlling overhead).…”

Section: ) Overall Performancesmentioning

confidence: 99%

Optimal Delivery of Rate-Adaptive Streams in Underprovisioned Networks

Liu

Rosenberg

Simon

et al. 2014

IEEE J. Select. Areas Commun.

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Abstract-The growth of Internet video traffic imposes a severe capacity problem in today's Content Delivery Network (CDN). Rate-adaptive streaming technologies, such as the Dynamic Adaptive Streaming over HTTP (DASH) standard, reinforces this problem in the core CDN infrastructure since delivering one video means delivering multiple representations for an aggregated bit-rate that is commonly over 10 Mbps. In this paper, we explore better trade-offs between CDN infrastructure cost and Quality of Experience (QoE) of the end-users for live broadcast video streaming applications. We consider in particular underprovisioned CDN networks, our goal being to maximize the QoE for the population of heterogeneous end-users despite the lack of resources in the intermediate CDN equipments. We show that previous theoretical models based on elastic bit-rates do not fit for this context. We propose a user-centric discretized streaming model where the satisfaction of end-users is related to the context and where a stream has to be either delivered in its entirety, or not delivered at all. We first formulate an Integer Linear Program (ILP) that achieves the optimal delivery through a multi-tree delivery overlay. The evaluation of the ILP shows the benefits of this model. We then design a practical system by revisiting the three main algorithms implemented in CDN: userto-server assignment, content placement and content delivery. At last, we use a realistic trace-driven large-scale simulator to study the performances of our system. In particular, we show that the population of users is reasonably well served (three quarters of the population do not experience degradation) even when the CDN infrastructure experiences a severe underprovisioning (less than half of the required infrastructure).

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A survey of application-layer multicast protocols

Cited by 249 publications

References 46 publications

Scalable Video Transmission on Overlay Networks

Scalable Video Transmission on Overlay Networks

Comparison of Performance Efficiency of Improved Network Coding Multicast Algorithms using Data Envelopment Analysis

Optimal Delivery of Rate-Adaptive Streams in Underprovisioned Networks

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