QoEMultiSDN: Management of Multimedia Services using MPTCP/SR in Softwarized and Virtualized Networks

Barakabitze, Alcardo Alex; Mkwawa, Is-Haka; Hines, Andrew; Sun, Lingfen; Ifeachor, Emmanuel

doi:10.1109/access.2020.3039953

Cited by 9 publications

(7 citation statements)

References 38 publications

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“…Barakabitze et al [35] proposed QoEMultiSDN, a novel QoE-aware management mechanism that uses multiPath-TCP/segment-routing (MPTCP/SR) techniques to explore information from both client and network sides in SDN/NFV networks. To optimize E2E DASH service delivery to users, QoEMultiSDN employs QoE-based multisource routing and QoE optimization, and (b) multipath protection and dynamic link-failure-free approaches.…”

Section: Related Workmentioning

confidence: 99%

“…The role of ISPs in a network virtualization environment (NVE) is divided into two categories: (a) service providers (SP) who implement different heterogeneous network archi-tectures and network protocols on VNs composed of physical network resources that are leased from one or more IPs, and (b) IPs that deploy and maintain physical network resources such as links, routers and switches [53]. Survivability in NVEs from previous works [53], including our recent papers [35], [54] where we propose multipath protections and dynamic link recovery in softwarized 5G networks using segment routing has only been considered for a single InP environment. In this study, we considered a collaboration/negotiation approach for multi-IPs as shown in Fig.…”

Section: Virtual Network Survivability and Qoe-based Pricing Model In...mentioning

confidence: 99%

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QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

Barakabitze,

Mkwawa,

Hines

et al. 2023

IEEE Access

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With the advent of multimedia streaming services such as 4K/8K and extended reality, managing and optimizing multimedia service delivery to end-users remains a challenge for mobile network operators, Internet service providers, and over-the-top (OTT) providers. To solve the present concerns and challenges associated with multimedia traffic management and quality of experience (QoE) in nextgeneration networks, new network and service management approaches for multimedia services are required. Network softwarization and virtualization paradigms that leverage software defined networking (SDN) and network function virtualization (NFV) are considered as key technologies for network and service management in future softwarized networks. This paper adopts SDN control logic to implement a dynamic QoE-aware resource management approach in future softwarized and virtualized networks. We propose QoESoft, a QoE-aware network softwarization approach for multimedia streaming services that (a) performs a dynamic link and switch resources management, and (b) improves end-user' QoE in softwarized systems. We introduce two important components, the QoE-sdnFlow monitor and QoE-sdnFlow manager as an extension to the SDN controller to monitor and manage the overall utilization of resources of mapped virtual links and nodes. We present a practical implementation of the QoESoft approach using a dash.js reference player where the bitrate decision adaptation logic and video segment download process are modified by introducing two components: the BandwidthP redictor and the Reporting functions. The BandwidthP redictor component ensures that the video bitrate is selected based on the available resources on the client's side in a dynamic manner. The Reporting module provides the current streaming status of the dash.js player (e.g., stall duration, bitrate switching, startup delay, and video QoE). In addition, we present the initial evaluations of virtual network survivability and an economical analysis that maximizes the profit for OTTs/ISPs by providing better QoE to customers. The performance of the proposed approach is analyzed through extensive experiments using a Laboratory for Image and Video Engineering -Amazon Prime Video (LIVE-APV) Streaming Database running over the developed softwarized -DASH-based platform based on the Mininet and POX controller. Preliminary results indicate that QoESoft outperforms the baseline approach in terms of link resources utilization and switch resources utilization, low-live latency, startup delays, bitrate switching, stall duration and video QoE.

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Section: Related Workmentioning

confidence: 99%

Section: Virtual Network Survivability and Qoe-based Pricing Model In...mentioning

confidence: 99%

QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

Barakabitze,

Mkwawa,

Hines

et al. 2023

IEEE Access

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“…The virtualized and softwarized network infrastructure in 5G/6G networks allows flexible deployment of the QoE monitoring solution using SDN and NFV but security, reliability, scalability and placement of the QoE monitoring solutions remain open questions for the research community [226], [260]- [262]. Furthermore, the cost-effectiveness such OPerational Expenditures (OPEX) and CAPital EXpenditures (CAPEX) for deploying QoE monitoring solutions in the next-generation 5G/6G networks using softwarized/virtualized probes remains an open challenge and question [12], [218], [263]- [265].…”

Section: B Qoe Monitoringmentioning

confidence: 99%

Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

et al. 2022

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The multimedia delivery chain consists of multiple stages such as content preparation, content delivery via Over-The-Top delivery network and Internet Service Providers network. Within the multimedia service chain, each stage influences the Quality of Experience (QoE) of the end user. The objective of this work is to provide a comprehensive literature survey with future research challenges and opportunities in the field of time-varying video quality in multimedia service delivery. The contribution of this work is two fold: 1) Survey -we provide a review of state-of-the-art works for video quality models to quantify multiple artifacts into a single QoE metric, pooling strategies for global quality measurements, and Continuous Time-Varying Quality (CTVQ) models; 2) Future Challenges and Directions -we investigate ten major research challenges and future directions based on the state-of-the-art for QoE modelling, QoE-aware encoding/decoding and QoE monitoring/management of multimedia streaming in next-generation networks.

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“…There are many studies that propose video streaming services over SDN in the literature. In one group of studies, SDN is utilized for selection of suitable streaming paths to transfer video packets from the server to the clients, thanks to the flexibility of SDN on determining flow routes [33], [34], [35] [36]. Network resources and bandwidth allocation strategies which consider parameters specific to HAS systems are also studied widely in the literature [37], [38], [39], [10].…”

Section: B Has Architectures Based On Sdn and Sandmentioning

confidence: 99%

SDN Assisted Codec, Path and Quality Selection for HTTP Adaptive Streaming

Kalan

Sayıt

2021

IEEE Access

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Adaptive streaming over HTTP is the dominant video streaming technology for more than a decade. HTTP Adaptive Streaming (HAS) systems provide a framework which enables clients to adapt quality with respect to network fluctuations during streaming, hence to optimize the perceived quality on the client side. Recently, network assistance is integrated with HAS in order to improve underlying network conditions and to provide network-related information to the clients. The performance of HAS systems can be further enhanced if the characteristics of the streamed video are considered. In this paper, we propose a HAS system architecture where Software Defined Networking (SDN) technology is utilized for assisting clients to select the most appropriate video codec and bitrate under the constraint of current network conditions as well as routing the video packet over the appropriate paths. In the proposed architecture, layered video is used, where each additional layer improves the quality. The controller estimates the packet loss probability by taking video codec characteristics, the bitrates of the layers and network capacity into account. Based on these estimations, the controller selects the appropriate codec type and video quality for the clients and manage the network. Simulation results show that the performance of the video streaming architecture can be improved significantly when codec, quality and path selection are jointly considered, and combined with SDN flexibility and advantageous.

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QoEMultiSDN: Management of Multimedia Services using MPTCP/SR in Softwarized and Virtualized Networks

Cited by 9 publications

References 38 publications

QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

QoE-Aware Dynamic Resource Management in Future Softwarized and Virtualized Networks

Measuring, Modeling and Integrating Time-Varying Video Quality in End-to-End Multimedia Service Delivery: A Review and Open Challenges

SDN Assisted Codec, Path and Quality Selection for HTTP Adaptive Streaming

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