Demonstration of OpenFlow-Controlled Network Orchestration for Adaptive SVC Video Manycast

Xue, Nana; Chen, Xiaoliang; Gong, Lei; Li, Suoheng; Hu, Daoyun; Zhu, Zuqing

doi:10.1109/tmm.2015.2450014

Cited by 53 publications

(9 citation statements)

References 24 publications

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“…The proposed scheme optimizes multimedia flow management and provides scalability and flexibility. The authors of [30] focus on how to solve the SVC video manycast problem of efficiency coming from multiple sources to multiple destinations. They designed two heuristics to achieve the optimal solutions for small-scale problems.…”

Section: Sdn Applied To Video Applicationsmentioning

confidence: 99%

Adaptive multicast streaming for videoconferences on software-defined networks

Hasrouty

Lamali

Autefage

et al. 2018

Computer Communications

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Real-time applications, such as video conferences, have strong Quality of Service requirements for ensuring a decent Quality of Experience. Nowadays, most of these conferences are performed over wireless devices. Thus, an appropriate management of both heterogeneous mobile devices and network dynamics is necessary. Software Defined Networking enables the use of multicasting and stream layering inside the network nodes, two techniques able to enhance the quality of live video streams. In this paper, we propose two algorithms for building and maintaining multicast sessions in a software-defined network. The first algorithm sets up the initial multicast trees for a given call. It optimally places the stream layer adaptation function inside the core network in order to minimize the bandwidth consumption. This algorithm has two versions: the first one, based on shortest path trees is minimizing the latency, while the second one, based on spanning trees is minimizing the bandwidth consumption. The second algorithm adapts the multicast trees according to the network changes occurring during a call. It does not recompute the trees, but only relocates the stream layer adaptation functions. It requires very low computation at the controller, thus making our proposal fast and highly reactive. Extensive simulation results confirm the efficiency of our solution in terms of processing time and bandwidth savings compared to existing solutions such as multiple unicast connections, Multipoint Control Unit solutions and application layer multicast. Recompute all the bitrates 5 foreach Multicast tree T i do 6 RelocateUp(T i , r) 7 if Uplink Bandwidth of a sender decreases (B(s i ) ↓) then 8 Recompute the uplink bitrate of s i 9 RelocateDown(c) where {c} = C(s i ) 10 if Uplink Bandwidth of a sender increases (B(s i ) ↑) then 11 Recompute the uplink bitrate of s i 12 Recompute the downlink bitrates of each r i,j 13 foreach receiver r i,j of T i do 14 if the bitrate of r i,j increased after recomputation then 15 RelocateUP(T i , r i,j ) 16 if Downlink bandwidth of a receiver r increases (B(r) ↑) then 17 Recompute all the bitrates 18 foreach Tree T i do 19 if the bitrate of s i increases after recomputation then 20 foreach receiver r i,j of T i do 21 if the bitrate of r i,j increased after recomputation then 22 RelocateUp(T i , r i,j ) 23 else 24 RelocateUp(T i , r)

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Section: Sdn Applied To Video Applicationsmentioning

confidence: 99%

Adaptive multicast streaming for videoconferences on software-defined networks

Hasrouty

Lamali

Autefage

et al. 2018

Computer Communications

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“…This framework reroutes clients to alternate servers dynamically to ensure end to end QoS for video streams are met and maintained. In [34], a network orchestration module was developed for the POX SDN controller to solve a cast problem. This module facilitates and manages SVC based video streams between multiple servers and multiple heterogeneous clients.…”

Section: Qos and Qoe Framework For Multimedia Streamsmentioning

confidence: 99%

In-network adaptation of SHVC video in software-defined networks

et al. 2016

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Software Defined Networks (SDN), when combined with Network Function Virtualization (NFV) represents a paradigm shift in how future networks will behave and be managed. SDN's are expected to provide the underpinning technologies for future innovations such as 5G mobile networks and the Internet of Everything. The SDN architecture offers features that facilitate an abstracted and centralized global network view in which packet forwarding or dropping decisions are based on application flows. Software Defined Networks facilitate a wide range of network management tasks, including the adaptation of real-time video streams as they traverse the network.SHVC, the scalable extension to the recent H.265 standard is a new video encoding standard that supports ultra-high definition video streams with spatial resolutions of up to 7680×4320 and frame rates of 60fps or more. The massive increase in bandwidth required to deliver these U-HD video streams dwarfs the bandwidth requirements of current high definition (HD) video. Such large bandwidth increases pose very significant challenges for network operators.In this paper we go substantially beyond the limited number of existing implementations and proposals for video streaming in SDN's all of which have primarily focused on traffic engineering solutions such as load balancing. By implementing and empirically evaluating an SDN enabled Media Adaptation Network Entity (MANE) we provide a valuable empirical insight into the benefits and limitations of SDN enabled video adaptation for real time video applications. The SDN-MANE is the video adaptation component of our Video Quality Assurance Manager (VQAM) SDN control plane application, which also includes an SDN monitoring component to acquire network metrics and a decision making engine using algorithms to determine the optimum adaptation strategy for any real time video application flow given the current network conditions. Our proposed VQAM application has been implemented and evaluated on an SDN allowing us to provide important benchmarks for video streaming over SDN and for SDN control plane latency.

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“…With the significant advances of the communication technology and the springing up of multimedia and Interactive‐Video, multimedia services are widely provided via the Internet, and the video traffic is exponentially growth [1]. This might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic.…”

Section: Introductionmentioning

confidence: 99%

“…This necessitates an efficient and prioritised multipath routing approach in order to timely deliver their multimedia contents while satisfying QoS. Note that several traffic classes in multimedia applications need to be supported at the same time, this issue has been extensively discussed in the literature [1] and is beyond the scope of this paper. Thus, this algorithm for a specific traffic needs to specify bandwidth and delay requirement before a connection request is set‐up.…”

Section: Introductionmentioning

confidence: 99%