Influence of self-similar traffic type on performance of QoS routing algorithms

Providing a Quality of Services (QoS) into current telecommunication networks based on packet technology is a big challenge nowadays. Network operators have to support a number of new services like voice or video which generate new type of traffic. This traffic serviced with QoS in consequence requires access to appropriate network resources. Additionally, new traffic type is mixed with older one, like best-effort. Analysis of these new and mixed traffic types shows that this traffic is self-similar. Network mechanisms used for delivery of quality of services may depend on traffic type especially from the performance point of view. This paper presents a feasibility study done into the effect of traffic type influence on performance of routing algorithm while the routing algorithm is treated as one of the mechanisms to support QoS in the network

LTE Optimization and Resource Management in Wireless Heterogeneous Networks

Mobile communication technology is evolving with a great pace. The development of the Long Term Evolution (LTE) mobile system by 3GPP is one of the milestones in this direction. This work highlights a few areas in the LTE radio access network where the proposed innovative mechanisms can substantially improve overall LTE system performance. In order to further extend the capacity of LTE networks, an integration with the non-3GPP networks (e.g., WLAN, WiMAX etc.) is also proposed in this work. Moreover, it is discussed how bandwidth resources should be managed in such heterogeneous networks. The work has purposed a comprehensive system architecture as an overlay of the 3GPP defined SAE architecture, effective resource management mechanisms as well as a Linear Programming based analytical solution for the optimal network resource allocation problem. In addition, alternative computationally efficient heuristic based algorithms have also been designed to achieve near-optimal performance

MediaSync: Handbook on Multimedia Synchronization

This book provides an approachable overview of the most recent advances in the fascinating field of media synchronization (mediasync), gathering contributions from the most representative and influential experts. Understanding the challenges of this field in the current multi-sensory, multi-device, and multi-protocol world is not an easy task. The book revisits the foundations of mediasync, including theoretical frameworks and models, highlights ongoing research efforts, like hybrid broadband broadcast (HBB) delivery and users' perception modeling (i.e., Quality of Experience or QoE), and paves the way for the future (e.g., towards the deployment of multi-sensory and ultra-realistic experiences). Although many advances around mediasync have been devised and deployed, this area of research is getting renewed attention to overcome remaining challenges in the next-generation (heterogeneous and ubiquitous) media ecosystem. Given the significant advances in this research area, its current relevance and the multiple disciplines it involves, the availability of a reference book on mediasync becomes necessary. This book fills the gap in this context. In particular, it addresses key aspects and reviews the most relevant contributions within the mediasync research space, from different perspectives. Mediasync: Handbook on Multimedia Synchronization is the perfect companion for scholars and practitioners that want to acquire strong knowledge about this research area, and also approach the challenges behind ensuring the best mediated experiences, by providing the adequate synchronization between the media elements that constitute these experiences

Resource management in cable access networks

Een kabelnetwerk is tegenwoordig niet meer alleen een medium waarover analoge TV-signalen vanuit een centraal punt, kopstation genaamd, naar de aangesloten huizen worden gestuurd. Sinds enkele jaren is het mogelijk om thuis data digitaal te versturen en te ontvangen. Deze data gaat via een kabelmodem thuis en het kopstation, dat in verbinding staat met andere netwerken. Op deze wijze zijn kabelnetwerken onderdeel geworden van het wereldwijde Internet en kunnen computers thuis hier mee verbonden worden. Door aan zo’n kopstation een digitaal videosysteem met duizenden films te koppelen, ontstaat er de mogelijkheid een video-op-verzoek dienst aan te bieden: Via de computer of zelfs de TV thuis kunnen films worden besteld en direct bekeken, of worden opgeslagen in de computer. Om dit te bewerkstelligen is meer nodig dan alleen een netwerk: Voor de transmissie van video data dient er zorg voor te worden gedragen dat deze zonder hinderende interrupties kan geschieden, omdat dergelijke gebeurtenissen door de gebruiker direct te zien zijn in de vorm van een stilstaand of zwart beeld. Verder is ook de reactiesnelheid van het systeem van belang voor het ondersteunen van operaties door de gebruiker, zoals het bestellen van een film, maar ook het vooruit- of terugspoelen, pauzeren, enzovoorts. Binnen deze context beschrijven en analyseren we in dit proefschrift zes problemen. Vier daarvan houden verband met de transmissie van data over het kabelnetwerk en de overige twee houden verband met het opslaan van video data op een harde schijf. In twee van de vier problemen uit de eerste categorie analyseren we de vertraging die data ondervindt wanneer die vanuit een modem wordt gestuurd naar het kopstation. Deze vertraging bepaalt met name de reactiesnelheid van het systeem. Karakteristiek voor dataverkeer in deze richting is dat pakketten van verschillende modems tegelijkertijd mogen worden verstuurd en daardoor verloren gaan. Met name de vereiste hertransmissies zorgen voor vertraging. Meer concreet beschouwen we een variant op het bekende ALOHA protocol, waarbij we uitgaan van een kanaalmodel dat afwijkt van het conventionele model. Het afwijkende model is van toepassing wanneer een modem een eerste contact probeert te leggen met het kopstation na te zijn opgestart. Met name na een stroomuitval, wanneer een groot aantal modems tegelijkertijd opnieuw opstart, kunnen de vertragingen aanzienlijk zijn. Daarnaast beschouwen we modems tijdens normale operatie en analyseren wij de verbetering in vertraging wanneer pakketten die vanuit ´e´en modem moeten worden verstuurd, worden verpakt in een groter pakket. In beide studies worden wiskundige resultaten vergeleken met simulaties die re¨ele situaties nabootsen. In de andere twee van de vier problemen richten wij ons op de transmissie van video data in de andere richting, namelijk van het kopstation naar de modems. Hierbij spelen stringente tijdsrestricties een voorname rol, zoals hierboven reeds is beschreven. Meer specifiek presenteren we een planningsalgoritme dat pakketten voor een aantal gebruikers op een kanaal zodanig na elkaar verstuurt dat de variatie in de vertraging die de verschillende pakketten ondervinden, minimaal is. Op deze wijze wordt zo goed mogelijk een continue stroom van data gerealiseerd die van belang is voor het probleemloos kunnen bekijken van een film. Daarnaast analyseren we een bestaand algoritme om een film via een aantal kanalen periodiek naar de aangesloten huizen te versturen. In dit geval ligt de nadruk op de wachttijd die een gebruiker ondervindt na het bestellen van een film. In deze analyse onderbouwen we een in het algoritme gebruikte heuristiek en brengen hierin verdere verbeteringen aan. Daarnaast bewijzen we dat het algoritme asymptotisch optimaal is, iets dat reeds langer werd aangenomen, maar nooit rigoreus bewezen was. Bij de laatste twee problemen, die verband houden met het opslaan van video data op een harde schijf, analyseren we hoe deze data zodanig kan worden opgeslagen dat die er nadien efficient van kan worden teruggelezen. In het ene probleem beschouwen we een bestaand planningsalgoritme om pakketten van verschillende videostromen naar een harde schijf te schrijven en passen dit aan om ervoor te zorgen dat het teruglezen van de stroom met bijvoorbeeld een andere pakketgrootte mogelijk wordt zonder daarbij de schijf onnodig te belasten. In het andere probleem analyseren we hoe we effectief gebruik kunnen maken van het gegeven dat data aan de buitenkant van de schijf sneller gelezen kan worden dan aan de binnenkant. We bewijzen dat het probleem van het zo efficient mogelijk opslaan van een gegeven aantal video files NPlastig is en presenteren een eenvoudige heuristiek die, hoewel voor bijzondere instanties een bewijsbaar slechte prestatie levert, in de praktijk in het algemeen goede prestaties levert. Hierbij maken we met name gebruik van het verschil in populariteit van de verschillende films

ATM network impairment to video quality

Includes bibliographical reference

User-centric power-friendly quality-based network selection strategy for heterogeneous wireless environments

The ‘Always Best Connected’ vision is built around the scenario of a mobile user seamlessly roaming within a multi-operator multi-technology multi-terminal multi-application multi-user environment supported by the next generation of wireless networks. In this heterogeneous environment, users equipped with multi-mode wireless mobile devices will access rich media services via one or more access networks. All these access networks may differ in terms of technology, coverage range, available bandwidth, operator, monetary cost, energy usage etc. In this context, there is a need for a smart network selection decision to be made, to choose the best available network option to cater for the user’s current application and requirements. The decision is a difficult one, especially given the number and dynamics of the possible input parameters. What parameters are used and how those parameters model the application requirements and user needs is important. Also, game theory approaches can be used to model and analyze the cooperative or competitive interaction between the rational decision makers involved, which are users, seeking to get good service quality at good value prices, and/or the network operators, trying to increase their revenue. This thesis presents the roadmap towards an ‘Always Best Connected’ environment. The proposed solution includes an Adapt-or-Handover solution which makes use of a Signal Strength-based Adaptive Multimedia Delivery mechanism (SAMMy) and a Power-Friendly Access Network Selection Strategy (PoFANS) in order to help the user in taking decisions, and to improve the energy efficiency at the end-user mobile device. A Reputation-based System is proposed, which models the user-network interaction as a repeated cooperative game following the repeated Prisoner’s Dilemma game from Game Theory. It combines reputation-based systems, game theory and a network selection mechanism in order to create a reputation-based heterogeneous environment. In this environment, the users keep track of their individual history with the visited networks. Every time, a user connects to a network the user-network interaction game is played. The outcome of the game is a network reputation factor which reflects the network’s previous behavior in assuring service guarantees to the user. The network reputation factor will impact the decision taken by the user next time, when he/she will have to decide whether to connect or not to that specific network. The performance of the proposed solutions was evaluated through in-depth analysis and both simulation-based and experimental-oriented testing. The results clearly show improved performance of the proposed solutions in comparison with other similar state-of-the-art solutions. An energy consumption study for a Google Nexus One streaming adaptive multimedia was performed, and a comprehensive survey on related Game Theory research are provided as part of the work

Dual-Mode Congestion Control Mechanism for Video Services

Recent studies have shown that video services represent over half of Internet traffic, with a growing trend. Therefore, video traffic plays a major role in network congestion. Currently on the Internet, congestion control is mainly implemented through overprovisioning and TCP congestion control. Although some video services use TCP to implement their transport services in a manner that actually works, TCP is not an ideal protocol for use by all video applications. For example, UDP is often considered to be more suitable for use by real-time video applications. Unfortunately, UDP does not implement congestion control. Therefore, these UDP-based video services operate without any kind of congestion control support unless congestion control is implemented on the application layer. There are also arguments against massive overprovisioning. Due to these factors, there is still a need to equip video services with proper congestion control.Most of the congestion control mechanisms developed for the use of video services can only offer either low priority or TCP-friendly real-time services. There is no single congestion control mechanism currently that is suitable and can be widely used for all kinds of video services. This thesis provides a study in which a new dual-mode congestion control mechanism is proposed. This mechanism can offer congestion control services for both service types. The mechanism includes two modes, a backward-loading mode and a real-time mode. The backward-loading mode works like a low-priority service where the bandwidth is given away to other connections once the load level of a network is high enough. In contrast, the real-time mode always demands its fair share of the bandwidth.The behavior of the new mechanism and its friendliness toward itself, and the TCP protocol, have been investigated by means of simulations and real network tests. It was found that this kind of congestion control approach could be suitable for video services. The new mechanism worked acceptably. In particular, the mechanism behaved toward itself in a very friendly way in most cases. The averaged TCP fairness was at a good level. In the worst cases, the faster connections received about 1.6 times as much bandwidth as the slower connections

Network traffic management for the next generation Internet

Measurement-based performance evaluation of network traffic is a fundamental prerequisite for the provisioning of managed and controlled services in short timescales, as well as for enabling the accountability of network resources. The steady introduction and deployment of the Internet Protocol Next Generation (IPNG-IPv6) promises a network address space that can accommodate any device capable of generating a digital heart-beat. Under such a ubiquitous communication environment, Internet traffic measurement becomes of particular importance, especially for the assured provisioning of differentiated levels of service quality to the different application flows. The non-identical response of flows to the different types of network-imposed performance degradation and the foreseeable expansion of networked devices raise the need for ubiquitous measurement mechanisms that can be equally applicable to different applications and transports. This thesis introduces a new measurement technique that exploits native features of IPv6 to become an integral part of the Internet's operation, and to provide intrinsic support for performance measurements at the universally-present network layer. IPv6 Extension Headers have been used to carry both the triggers that invoke the measurement activity and the instantaneous measurement indicators in-line with the payload data itself, providing a high level of confidence that the behaviour of the real user traffic flows is observed. The in-line measurements mechanism has been critically compared and contrasted to existing measurement techniques, and its design and a software-based prototype implementation have been documented. The developed system has been used to provisionally evaluate numerous performance properties of a diverse set of application flows, over different-capacity IPv6 experimental configurations. Through experimentation and theoretical argumentation, it has been shown that IPv6-based, in-line measurements can form the basis for accurate and low-overhead performance assessment of network traffic flows in short time-scales, by being dynamically deployed where and when required in a multi-service Internet environment.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Sixth Goddard Conference on Mass Storage Systems and Technologies Held in Cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems

This document contains copies of those technical papers received in time for publication prior to the Sixth Goddard Conference on Mass Storage Systems and Technologies which is being held in cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems at the University of Maryland-University College Inn and Conference Center March 23-26, 1998. As one of an ongoing series, this Conference continues to provide a forum for discussion of issues relevant to the management of large volumes of data. The Conference encourages all interested organizations to discuss long term mass storage requirements and experiences in fielding solutions. Emphasis is on current and future practical solutions addressing issues in data management, storage systems and media, data acquisition, long term retention of data, and data distribution. This year's discussion topics include architecture, tape optimization, new technology, performance, standards, site reports, vendor solutions. Tutorials will be available on shared file systems, file system backups, data mining, and the dynamics of obsolescence

A Survey on Mobile Edge Computing for Video Streaming : Opportunities and Challenges

5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high definition video conferencing, 3D and multiview video streaming, crowd-sourced video streaming, cloud gaming, virtual and augmented reality) are becoming more ambitious with high volume and low latency video streams putting strict demands on the already congested networks. Mobile Edge Computing (MEC) is an emerging paradigm that extends cloud computing capabilities to the edge of the network i.e., at the base station level. To meet the latency requirements and avoid the end-to-end communication with remote cloud data centers, MEC allows to store and process video content (e.g., caching, transcoding, pre-processing) at the base stations. Both video on demand and live video streaming can utilize MEC to improve existing services and develop novel use cases, such as video analytics, and targeted advertisements. MEC is expected to reshape the future of video streaming by providing ultra-reliable and low latency streaming (e.g., in augmented reality, virtual reality, and autonomous vehicles), pervasive computing (e.g., in real-time video analytics), and blockchain-enabled architecture for secure live streaming. This paper presents a comprehensive survey of recent developments in MEC-enabled video streaming bringing unprecedented improvement to enable novel use cases. A detailed review of the state-of-the-art is presented covering novel caching schemes, optimal computation offloading, cooperative caching and offloading and the use of artificial intelligence (i.e., machine learning, deep learning, and reinforcement learning) in MEC-assisted video streaming services.publishedVersionPeer reviewe