Browsing by Author "Sun, Lingfen"

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Multipath protections and dynamic link recovery in softwarized 5G networks using segment routing
(2020-03) Barakabitze, Alcardo Alex; Sun, Lingfen; Mkwawa, Is-Haka; Ifeachor, Emmanuel
Future softwarized 5G networks have to be robust enough so as to ensure high network reliability and services availability. 5G network architecture should make sure that any failed parts in the network are detected, restored and recovered within a permissible period of time and at the lowest achievable cost. In this paper, we propose a Multipath Protection and Link-Failure free MPTCP/SR-based SDN/NFV architecture that increases survivability, resilience, availability of services in 5G net- works. We present our system model and a multiPath protection and dynamic Link- Failure free algorithm called ”PathReLief” that greatly reduces the failure recovery time and avoids link congestion in MPTCP/SR SDN/NFV 5G networks. To demonstrate the effectiveness of our proposal, we compare the performance of the proposed algorithm and the conventional topology discovery mechanisms for link/node failures in POX and OpenDaylight con- trollers. Preliminary results show that, our approach outperforms others used in the commonly used controllers (i.e., POX and OpenDaylight), in terms of reduced failure recovery time and localization time.
A novel QoE-centric SDN-based multipath routing approach for multimedia services over 5G networks
(PEARL, 2018-07-27) Barakabitze, Alcardo Alex; Sun, Lingfen; Mkwawa, Is-Haka; Ifeachor, Emmanuel
The explosion of enhanced applications such as live video streaming, video gaming and Virtual Reality calls for efforts to optimize transport protocols to manage the increasing amount of data traffic on future 5G networks. Through bandwidth aggregation over multiple paths, the Multi-Path Transmission Control Protocol (MPTCP) can enhance the performance of network applications. MPTCP can split a large multimedia flow into subflows and apply a congestion control mechanism on each subflow. Segment Routing (SR), a promising source routing approach, has emerged to provide advanced packet forwarding over 5G networks. In this paper, we explore the utilization of MPTCP and SR in SDN-based networks to improve network resources utilization and end-user’s QoE for delivering multime- dia services over 5G networks. We propose a novel QoE-aware, SDN-based MPTCP/SR approach for service delivery. In order to demonstrate the feasibility of our approach, we implemented an intelligent QoE-centric Multipath Routing Algorithm (QoMRA) on an SDN source routing platform using Mininet and POX controller. We carried out experiments on Dynamic Adaptive video Steaming over HTTP (DASH) applications over various network conditions. The preliminary results show that, our QoE- aware SDN-based MPTCP/SR scheme performs better compared to the conventional TCP approach in terms of throughput, link utilization and the end-user’s QoE.
An SDN-approach for QoE management of multimedia services using resource allocation
(University of Plymouth, 2020) Grigoriou, Elisavet; Barakabitze, Alcardo Alex; Atzori, Luigi; Sun, Lingfen; Pilloni, Virginia
Future networks will be accompanied by new het- erogeneous requirements in terms of end-users Quality of Expe- rience (QoE) due to the increasing number of application sce- narios being deployed. Network softwarization technologies such as Software Defined Networks (SDNs) and Network Function Virtualization (NFV) promise to provide these capabilities. In this paper, a novel QoE-driven resource allocation mechanism is proposed to dynamically assign tasks to virtual network nodes in order to achieve an optimized end-to-end quality. The aim is to find the best combination of network node functions that can provide an optimized level of QoE to the end users though node cooperation. The service in question is divided in tasks and the neighbor nodes negotiate the assignment of these considering the final quality. In the paper we specifically focus on the video streaming service. We also show that the agility provided by SDN/NFV is a key factor for enhancing video quality, resource allocation and QoE management in future networks. Preliminary results based on the Mininet network emulator and the OpenDaylight controller have shown that our approach can significantly improve the quality of a transmitted video by selecting the best path with normalized QoS values.