Server selection and admission control for IP-based video on demand using available bandwidth estimation

Meskill, Brian; Davy, Alan; Jennings, Brendan

doi:10.1109/lcn.2011.6115202

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…We assume that the network provider is not part of the federation, so the IPTV service provider and storage provider do not have knowledge of the network topology or access to more detailed network monitoring data. As shown in previous work [27,28] available bandwidth estimations are a suitable means of monitoring quality of service and controlling end to end delay for the purposes of IPTV admission control. Users IPTV clients request streaming of content items from the selection server.…”

Section: Illustration Of Slime Mould Content Replicationmentioning

confidence: 93%

“…ABETs such as Pathload [20], Spruce [34], Assolo [17], Yaz [33], and BART [14] all propose different approaches for available bandwidth estimation. In our experiments we have used the PathChirp [32] ABET, which has performed well in such comparisons, has a publicly available implementation and, as shown in our previous work [27], is suitable, when appropriately parameterized, for use in IPTV admission control schemes.…”

Section: Related Workmentioning

confidence: 99%

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Federation Lifecycle Management Incorporating Coordination of Bio-inspired Self-management Processes

et al. 2013

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As it has evolved, the Internet has had to support a broadening range of networking technologies, business models and user interaction modes. Researchers and industry practitioners have realised that this trend necessitates a fundamental rethinking of approaches to network and service management. This has spurred significant research efforts towards developing autonomic network management solutions incorporating distributed self-management processes inspired by biological systems. Whilst significant advances have been made, most solutions focus on management of single network domains and the optimisation of specific management or control processes therein. In this paper we argue that a networking infrastructure providing a myriad of loosely coupled services must inherently support federation of network domains and facilitate coordination of the operation of various management processes for mutual benefit. To this end, we outline a framework for federated management that facilitates the coordination of the behaviour of bio-inspired management processes. Using a case study relating to distribution of IPTV content, we describe how Federal Relationship Managers realising our layered model of management federations can communicate to manage service provision across multiple application/storage/network providers. We outline an illustrative example in which storage providers are dynamically added to a federation to accommodate demand spikes, with appropriate content being migrated to those providers servers under control of a bio-inspired replication process.

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Section: Illustration Of Slime Mould Content Replicationmentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%

Federation Lifecycle Management Incorporating Coordination of Bio-inspired Self-management Processes

et al. 2013

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“…Various server selection schemes, including remote-side and edgebased ones are proposed [4,16,29]. The authors of [30] introduce a Multi-user Edge server Selection method based on Particle swarm optimization (MESP).…”

Section: Server Selectionmentioning

confidence: 99%

QoE Ready to Respond: A QoE-aware MEC Selection Scheme for DASH-based Adaptive Video Streaming to Mobile Users

Shi

Zhang

et al. 2021

Proceedings of the 29th ACM International Conference on Multimedia

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The Multi-access Edge Computing (MEC) paradigm offers cloudcomputing support to rich media applications, including Dynamic Adaptive Streaming over HTTP (DASH)-based ones at the edge of the network, close to mobile users. MEC servers, typically deployed at base stations (BS), help reduce latency and improve quality of experience (QoE) of video streaming. Unfortunately the communications involving mobile users require handovers between BSs and these influence both transmission efficiency because of the relative position of the MEC servers and transit cost. At the same time, serving MEC for a mobile user should not necessarily be changed when handover occurs. This paper introduces QoE Ready to Respond (QoE-R2R), a QoE-aware MEC Selection scheme for DASH-based mobile adaptive video streaming for optimizing video transmission in a MEC-supported network environment. Simulation-based testing shows that the proposed (QoE-R2R) scheme outperforms some traditional alternative solutions. Compared to hit rate and delay-based schemes, QoE-R2R reduces by 27.6% transmission time and improves with 6.2% QoE.

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“…Several server selection algorithms were proposed using ABETs, to provide estimate on the available bandwidth to be used in the server selection process. The available bandwidth of an end to end network path is defined by [5] [6] as "a streaming capacity, that is, the amount of traffic that can be sent along the path without congesting it". The majority of proposed available bandwidth estimation tools are classified into two categories; the Probe Rate Model (PRM) and the Probe Gap Model (PGM) [5].…”

Section: Background and Related Workmentioning

confidence: 99%

Adaptive CDN-based bandwidth conserving algorithm for Mobile IPTV

Abubakar

Petridis

Gill

et al. 2016

2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)

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Network bandwidth and server capacity are gradually becoming overloaded due to high demand and rapid evolution of high quality multimedia services over the Internet. Internet Protocol Television (IPTV) is among the multimedia services that demand more of network and server resources, especially with the emergence of Mobile IPTV. It is imperative for service providers to maintain good quality management services in order to satisfy their clients. To improve the required Quality of Service (QoS) and Quality of Experience (QoE), a Content Distribution Network (CDN) approach is being adopted and used by service providers, where contents are replicated over multiple distributed servers with the best server selected to serve an incoming request. In this paper, we propose an Adaptive CDN-Based Bandwidth Conserving Algorithm for Mobile IPTV that adapts to different server bandwidth capacity in order to improve the QoS, which in turn will provide the required QoE. Results from the simulation tests show that the proposed algorithm performed well in adapting to different server bandwidth level to switch between using the server or client to serve an incoming service requests. It also confirmed that the proposed algorithm outperformed the normal CDN-based IPTV system in server load reduction, high throughput and low end-to-end delay.

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Server selection and admission control for IP-based video on demand using available bandwidth estimation

Cited by 6 publications

References 7 publications

Federation Lifecycle Management Incorporating Coordination of Bio-inspired Self-management Processes

Federation Lifecycle Management Incorporating Coordination of Bio-inspired Self-management Processes

QoE Ready to Respond: A QoE-aware MEC Selection Scheme for DASH-based Adaptive Video Streaming to Mobile Users

Adaptive CDN-based bandwidth conserving algorithm for Mobile IPTV

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