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distributed rate allocation in Inter-Session Network Coding

IEEE TRANSACTIONS ON MULTIMEDIA 2014年第6期16卷 1752-1765页

作者： Bourtsoulatze, Eirina Thomos, Nikolaos Frossard, Pascal Univ Bern Inst Comp Sci & Appl Math Commun & Distributed Syst CDS Lab CH-3012 Bern Switzerland Univ Essex Dept Comp Sci & Elect Engn Colchester CO4 3SQ Essex England Ecole Polytech Fed Lausanne Signal Proc Lab LTS4 4 CH-1015 Lausanne Switzerland

In this work, we propose a distributed rate allocation algorithm that minimizes the average decoding delay for multimedia clients in inter-session network coding systems. We consider a scenario where the users are organized in a mesh network and each user requests the content of one of the available sources. We propose a novel distributed algorithm where network users determine the coding operations and the packet rates to be requested from the parent nodes, such that the decoding delay is minimized for all clients. A rate allocation problem is solved by every user, which seeks the rates that minimize the average decoding delay for its children and for itself. Since this optimization problem is a priori non-convex, we introduce the concept of equivalent packet flows, which permits to estimate the expected number of packets that every user needs to collect for decoding. We then decompose our original rate allocation problem into a set of convex subproblems, which are eventually combined to obtain an effective approximate solution to the delay minimization problem. The results demonstrate that the proposed scheme eliminates the bottlenecks and reduces the decoding delay experienced by users with limited bandwidth resources. We validate the performance of our distributed rate allocation algorithm in different video streaming scenarios using the NS-3 network simulator. We show that our system is able to take benefit of inter-session network coding for simultaneous delivery of video sessions in networks with path diversity.

关键词： Delay minimization distributed rate allocation inter-session network coding multimedia communications overlay networks

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distributed rate allocation Policies for Multihomed Video Streaming Over Heterogeneous Access Networks

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IEEE TRANSACTIONS ON MULTIMEDIA 2009年第4期11卷 752-764页

作者： Zhu, Xiaoqing Agrawal, Piyush Singh, Jatinder Pal Alpcan, Tansu Girod, Bernd Stanford Univ Dept Elect Engn Stanford CA 94305 USA Deutsch Telekom Inc R&D Lab Altos CA 94022 USA Deutsch Telekom Labs D-10587 Berlin Germany

We consider the problem of rate allocation among multiple simultaneous video streams sharing multiple heterogeneous access networks. We develop and evaluate an analytical framework for optimal rate allocation based on observed available bit rate (ABR) and round-trip time (RTT) over each access network and video distortion-rate (DR) characteristics. The rate allocation is formulated as a convex optimization problem that minimizes the total expected distortion of all video streams. We present a distributed approximation of its solution and compare its performance against H-infinity-optimal control and two heuristic schemes based on TCP-style additive-increase-multiplicative-decrease (AIMD) principles. The various rate allocation schemes are evaluated in simulations of multiple high-definition (HD) video streams sharing multiple access networks. Our results demonstrate that, in comparison with heuristic AIMD-based schemes, both media-aware allocation and H-infinity-optimal control benefit from proactive congestion avoidance and reduce the average packet loss rate from 45% to below 2%. Improvement in average received video quality ranges between 1.5 to 10.7 dB in PSNR for various background traffic loads and video playout deadlines. Media-aware allocation further exploits its knowledge of the video DR characteristics to achieve a more balanced video quality among all streams.

关键词： distributed rate allocation heterogeneous access networks multihomed video streaming

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distributed rate allocation for Network-Coded Multicast Networks

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IEEE COMMUNICATIONS LETTERS 2013年第11期17卷 2204-2207页

作者： Lee, Sang Hyun Vishwanath, Sriram Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA

This letter addresses a distributed rate allocation for a class of multicast networks employing linear network coding. The goal is to minimize the cost, e.g., the sum rate allocated to links in the network, while satisfying a multicast rate requirement for each users in the network. In essence, it aims to achieve the network capacity while ensuring that the operation cost is minimal. This letter uses an alternating direction method of multipliers (ADMM) framework to obtain a distributed algorithm for the rate allocation. Simulation results demonstrate the convergence of this algorithm to the optimal solution.

关键词： distributed rate allocation multicast networks ADMM

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A distributed rate allocation Algorithm for Slepian-Wolf Coding based Data Aggregation in Wireless Sensor Networks

A Distributed Rate Allocation Algorithm for Slepian-Wolf Cod...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zheng, Jun Huang, Zhenzhong Shu, Qihuang Mitton, Nathalie Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Inria Lille Nord Europe F-59650 Villeneuve Dascq France

ISBN: (纸本)9781479903085

This paper considers the Slepian-Wolf coding based energy-minimization rate allocation problem in a wireless sensor network (WSN) and propose a distributed rate allocation algorithm to solve the problem. The proposed distributed algorithm is based on an existing centralized rate allocation algorithm which has a high computational complexity. To reduce the computational complexity of the centralized algorithm and make the rate allocation performable in a distributed manner, we make necessary modifications to the centralized algorithm by reducing the number of sets in calculating the average energy consumption cost and limiting the number of conditional nodes that a set can use. Simulation results show that the proposed distributed algorithm can significantly reduce the computational time when compared with the existing centralized algorithm at the cost of the overall energy consumption for data transmission and the total amount of data transmitted in the network.

关键词： distributed rate allocation Slepian-Wolf coding data aggregation wireless sensor network

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distributed media rate allocation in multipath networks

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2008年第10期23卷 754-768页

作者： Jurca, Dan Frossard, Pascal Ecole Polytech Fed Lausanne Signal Proc Inst CH-1015 Lausanne Switzerland

The paper addresses the distributed path computation and rate allocation problems for video delivery over multipath networks. The streaming rate on each path is determined such that the end-to-end media distortion is minimized, when a media client aggregates packets received via multiple network channels to the streaming server. In common practical scenarios, it is, however, difficult for the server to have the full knowledge about the network status. Therefore, we propose here a distributed path selection and rate allocation algorithm, where the network nodes participate to the optimized path selection and rate allocation based on their local view of the network. This eliminates the need for end-to-end network monitoring, and permits the deployment of large scale rate allocation solutions. We design a distributed algorithm for optimized rate allocation, where the media client iteratively determines the best set of streaming paths. based on information gathered by network nodes. Each intermediate node then forwards incoming media flows on the outgoing paths, in a distributed manner. The proposed algorithm is shown to quickly converge to the rate allocation that provides a maximal quality to the video client. We also propose a distributed greedy algorithm that achieves close-to-optimal end-to-end distortion performance in a single pass. Both algorithms are shown to outperform simple heuristic-based rate allocation approaches for numerous random network topologies. They offer an interesting solution for media-specific rate allocation over large scale multipath networks. (C) 2008 Published by Elsevier B.V.

关键词： Video streaming distributed rate allocation Optimal path selection Distortion optimized video streaming Multipath media transmission

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A unified framework for distributed video rate allocation over wireless networks

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AD HOC NETWORKS 2011年第4期9卷 608-622页

作者： Zhu, Xiaoqing Girod, Bernd Cisco Syst Inc Adv Architecture & Res San Jose CA 95134 USA Stanford Univ Informat Syst Lab Stanford CA 94305 USA

When multiple video streams share a wireless network, careful rate allocation is needed to prevent congestion, as well as to balance the video qualities among the competing streams. In this paper, we present a unified optimization framework for video rate allocation over wireless networks. Our framework applies to both unicast and multicast sessions, and accommodates both scalable and non-scalable streams. The optimization objective is to minimize the total distortion of all video streams without incurring excessive network utilization. Our system model explicitly accounts for heterogeneity in wireless link capacities, traffic contention among neighboring links, as well as different video rate-distortion (RD) characteristics. The proposed distributed media-aware rate allocation scheme leverages cross-layer information exchange between the MAC and application layers to achieve fast convergence at the optimal allocation. We evaluate performance of the proposed scheme for streaming of high-definition (HD) and standard-definition (SD) video sequences over 802.11-based wireless networks, both in unicast and multicast scenarios. The scheme consistently outperforms conventional TCP-Friendly rate Control (TFRC) in terms of overall video quality, and achieves more balanced qualities among the streams. (C) 2010 Elsevier B.V. All rights reserved.

关键词： distributed rate allocation Video streaming Wireless networking Cross-layer design

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A distributed rate allocation Algorithm for Slepian-Wolf Coding based Data Aggregation in Wireless Sensor Networks

A Distributed Rate Allocation Algorithm for Slepian-Wolf Cod...

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International Conference on Wireless Communications and Signal Processing

作者： Jun Zheng Zhenzhong Huang Qihuang Shu Nathalie Mitton National Mobile Communications Research Laboratory Southeast University Nanjing Jiangsu 210096 China|c|

ISBN: (纸本)9781479903061

关键词： distributed rate allocation Slepian-Wolf coding Data aggregation Wireless sensor network

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distributed Media-Aware rate allocation for Wireless Video Streaming

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2010年第11期20卷 1462-1474页

作者： Zhu, Xiaoqing Girod, Bernd Stanford Univ Informat Syst Lab Stanford CA 94305 USA

When multiple video streams share a wireless network, careful rate allocation is needed to prevent congestion, as well as to balance the video qualities among the competing streams. In this paper, we present a distributed media-aware rate allocation protocol, and evaluate its performance for streaming of high-definition video over 802.11-based wireless home networks. Our optimization framework accommodates heterogeneity in wireless link speeds and video rate-distortion characteristics, as well as traffic contention among neighboring links. The goal of the protocol is to minimize the total video distortion of all participating streams while limiting network utilization. It relies on cross-layer information exchange between video rate controllers at the end hosts and link state monitors at the relaying wireless nodes. Results from various network simulations confirm that the media-aware allocation outperforms transmission control protocol-friendly rate control in terms of average video quality and fairness among the streams.

关键词： Cross-layer design distributed rate allocation video streaming wireless networking

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distributed Media-Aware rate allocation for Video Multicast over Wireless Networks

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2011年第9期21卷 1181-1192页

作者： Zhu, Xiaoqing Schierl, Thomas Wiegand, Thomas Girod, Bernd Cisco Syst Inc Adv Architecture & Res Grp San Jose CA 95134 USA Heinrich Hertz Inst Nachrichtentech Berlin GmbH Fraunhofer Inst Telecommun D-10587 Berlin Germany Berlin Inst Technol Image Commun Lab D-10623 Berlin Germany Stanford Univ Informat Syst Lab Stanford CA 94305 USA

A unified optimization framework for rate allocation among multiple video multicast sessions sharing a wireless network is presented. Our framework applies to delivery of both scalable and non-scalable video streams. In both cases, the optimization objective is to minimize the total video distortion of all peers without incurring excessive network utilization. Our system model explicitly accounts for heterogeneity in wireless link capacities, traffic contention among neighboring links, as well as different video rate-distortion (RD) characteristics. The proposed distributed rate allocation scheme leverages cross-layer information exchange between the media access control and application layers to achieve fast convergence at the optimal, media-aware allocation. Performance of the proposed media-aware rate allocation protocol is compared against a heuristic scheme based on TCP-friendly rate control (TFRC). In network simulations of standard-definition video streaming over single or multiple multicast trees, the proposed scheme consistently achieves higher overall video quality than the TFRC-based heuristics. When delivering scalable streams, the flexibility of per-peer rate adaptation inside each multicast tree yields a further slight improvement in overall video quality over multicast of non-scalable streams.

关键词： Cross-layer design distributed rate allocation scalable video coding (SVC) video multicast wireless 802.11 networks

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Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

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IEEE ACCESS 2020年 8卷 119635-119653页

作者： Njah, Yosra Pham, Chuan Cheriet, Mohamed Ecole Technol Super Montreal PQ H3C 1K3 Canada

Recently, campuses have been embracing smart digital technologies in order to boost the efficiency of education and creativity. Thus, massive heterogeneous flows are generated as a result of multitude simultaneous access from several heterogeneous devices. This is putting pressure on campuses to make better management of their constrained resources and to ensure the required Quality of Service (QoS). In this paper, we propose a multi-flow management scheme over a software-defined smart digital campus network, named Service and Resource Aware Flow Management (SRAFM). Our approach offers a unified fully-programmable architecture, a distributed end-host-based flow characterization plane, and a centralized software-defined optimization model to efficiently manage heterogeneous flows. Network functionalities, including QoS aware routing and resource allocation optimization, are formulated as a mixed-integer linear programming problem. Due to its NP-hard complexity, we propose an approximation algorithm in a decomposed fashion based on Lagrangian Dual Decomposition (LDD) and subgradient methods to find an optimal solution for flow management. We evaluate our scheme from different aspects, including the number of simultaneous heterogeneous flows, QoS provisioning, characterization impacts, and network scalability. Compared to the well-known benchmarks in QoS aware routing and optimization problem, SWAY and LARAC, our simulation results conducted with a large number of flows over a small-scale network show promising performance. The proposed scheme significantly improves the cost reduction by 51% as compared to LARAC, the end-to-end delay by 21% and 34%, the bandwidth availability by 27% and 36%, and the QoS violation by 11% and 29% as compared to SWAY and LARAC, respectively.

关键词： Smart digital campus Internet of Things (IoT) software-defined networking (SDN) flow characterization Quality of Service (QoS) distributed rate allocation and resource optimization

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