238 research outputs found
Towards the optimization of a parallel streaming engine for telco applications
Parallel and distributed computing is becoming essential to process in real time the increasingly massive volume of data collected by telecommunications companies. Existing computational paradigms such as MapReduce (and its popular open-source implementation Hadoop) provide a scalable, fault tolerant mechanism for large scale batch computations. However, many applications in the telco ecosystem require a real time, incremental streaming approach to process data in real time and enable proactive care. Storm is a scalable, fault tolerant framework for the analysis of real time streaming data. In this paper we provide a motivation for the use of real time streaming analytics in the telco ecosystem. We perform an experimental investigation into the performance of Storm, focusing in particular on the impact of parameter configuration. This investigation reveals that optimal parameter choice is highly non-trivial and we use this as motivation to create a parameter configuration engine. As first steps towards the creation of this engine we provide a deep analysis of the inner workings of Storm and provide a set of models describing data flow cost, central processing unit (CPU) cost, and system management cost. ©2014 Alcatel-Lucent
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Multimedia delivery in the future internet
The term âNetworked Mediaâ implies that all kinds of media including text, image, 3D graphics, audio
and video are produced, distributed, shared, managed and consumed on-line through various networks,
like the Internet, Fiber, WiFi, WiMAX, GPRS, 3G and so on, in a convergent manner [1]. This white
paper is the contribution of the Media Delivery Platform (MDP) cluster and aims to cover the Networked
challenges of the Networked Media in the transition to the Future of the Internet.
Internet has evolved and changed the way we work and live. End users of the Internet have been confronted
with a bewildering range of media, services and applications and of technological innovations concerning
media formats, wireless networks, terminal types and capabilities. And there is little evidence that the pace
of this innovation is slowing. Today, over one billion of users access the Internet on regular basis, more
than 100 million users have downloaded at least one (multi)media file and over 47 millions of them do so
regularly, searching in more than 160 Exabytes1 of content. In the near future these numbers are expected
to exponentially rise. It is expected that the Internet content will be increased by at least a factor of 6, rising
to more than 990 Exabytes before 2012, fuelled mainly by the users themselves. Moreover, it is envisaged
that in a near- to mid-term future, the Internet will provide the means to share and distribute (new)
multimedia content and services with superior quality and striking flexibility, in a trusted and personalized
way, improving citizensâ quality of life, working conditions, edutainment and safety.
In this evolving environment, new transport protocols, new multimedia encoding schemes, cross-layer inthe
network adaptation, machine-to-machine communication (including RFIDs), rich 3D content as well as
community networks and the use of peer-to-peer (P2P) overlays are expected to generate new models of
interaction and cooperation, and be able to support enhanced perceived quality-of-experience (PQoE) and
innovative applications âon the moveâ, like virtual collaboration environments, personalised services/
media, virtual sport groups, on-line gaming, edutainment. In this context, the interaction with content
combined with interactive/multimedia search capabilities across distributed repositories, opportunistic P2P
networks and the dynamic adaptation to the characteristics of diverse mobile terminals are expected to
contribute towards such a vision.
Based on work that has taken place in a number of EC co-funded projects, in Framework Program 6 (FP6)
and Framework Program 7 (FP7), a group of experts and technology visionaries have voluntarily
contributed in this white paper aiming to describe the status, the state-of-the art, the challenges and the way
ahead in the area of Content Aware media delivery platforms
Efficiency gains due to network function sharing in CDN-as-a-Service slicing scenarios
Proceedings of: IEEE 7th International Conference on Network Softwarization (NetSoft), 28 June-2 July 2021, Tokyo, Japan.The consumption of video contents is currently dominating the traffic observed in ISP networks. The distribution of that content is usually performed leveraging on CDN caches storing and delivering multimedia. The advent of virtualization is bringing attention to the CDN as use case for virtualizing the cache function. In parallel, there is a trend on sharing network infrastructures as a way of reducing deployment costs by ISPs. Then, an interesting scenario emerges when considering the possibility of sharing virtualized cache functions among ISPs sharing a common physical infrastructure, mostly considering that usually those ISPs offer similar content catalogues to final end users. This paper investigates through simulations the potential efficiencies that can be achieved when sharing a virtual cache function if compared to the classical approach of independent virtual caches operated per ISP.This work has been partly funded by the project 5GROWTH (Grant Agreement no. 856709)
Toward a new Telco role in future content distribution services
International audienceas Content Distribution Services become at the center of network use, OTTs strengthen their dominance over the internet. On the other hand, operators like Telcos see their role shrinking to "dumb pipes" providers. This paper introduces a new Telco role in future content distribution services. In particular, it focuses on the "value" that Telco, as a network operator, can bring to CDN providers and Content providers. Value is assessed with respect to both users' trends and content ecosystem evolution. After our review, we reached two conclusions. Many of Telco assets are likely to be of interest for other content players. An open and efficient control infrastructure is the key for reaching an enhanced business position of the Telco
Edge Computing for Extreme Reliability and Scalability
The massive number of Internet of Things (IoT) devices and their continuous data collection will lead to a rapid increase in the scale of collected data. Processing all these collected data at the central cloud server is inefficient, and even is unfeasible or unnecessary. Hence, the task of processing the data is pushed to the network edges introducing the concept of Edge Computing. Processing the information closer to the source of data (e.g., on gateways and on edge micro-servers) not only reduces the huge workload of central cloud, also decreases the latency for real-time applications by avoiding the unreliable and unpredictable network latency to communicate with the central cloud
Flexible cross layer optimization for fixed and mobile broadband telecommunication networks and beyond
In der heutigen Zeit, in der das Internet im Allgemeinen und Telekommunikationsnetze im Speziellen kritische Infrastrukturen erreicht haben, entstehen hohe Anforderungen und neue Herausforderungen an den Datentransport in Hinsicht auf Effizienz und FlexibilitĂ€t. Heutige Telekommunikationsnetze sind jedoch rigide und statisch konzipiert, was nur ein geringes MaĂ an FlexibilitĂ€t und AnpassungsfĂ€higkeit der Netze ermöglicht und darĂŒber hinaus nur im begrenzten MaĂe die Wichtigkeit von DatenflĂŒssen im wiederspiegelt. Diverse LösungsansĂ€tze zum kompletten Neuentwurf als auch zum evolutionĂ€ren Konzept des Internet wurden ausgearbeitet und spezifiziert, um diese neuartigen Anforderungen und Herausforderungen adĂ€quat zu adressieren. Einer dieser AnsĂ€tze ist das Cross Layer Optimierungs-Paradigma, welches eine bisher nicht mögliche direkte Kommunikation zwischen verteilten FunktionalitĂ€ten unterschiedlichen Typs ermöglicht, um ein höheres MaĂ an DienstgĂŒte zu erlangen. Ein wesentlicher Indikator, welcher die Relevanz dieses Ansatzes unterstreicht, zeichnet sich durch die Programmierbarkeit von NetzwerkfunktionalitĂ€ten aus, welche sich aus der Evolution von heutigen hin zu zukĂŒnftigen Netzen erkennen lĂ€sst. Dieses Konzept wird als ein vielversprechender Lösungsansatz fĂŒr Kontrollmechanismen von Diensten in zukĂŒnftigen Kernnetzwerken erachtet. Dennoch existiert zur Zeit der Entstehung dieser Doktorarbeit kein Ansatz zur Cross Layer Optimierung in Festnetz-und Mobilfunknetze, welcher der geforderten Effizienz und FlexibilitĂ€t gerecht wird. Die ĂŒbergeordnete Zielsetzung dieser Arbeit adressiert die Konzeptionierung, Entwicklung und Evaluierung eines Cross Layer Optimierungsansatzes fĂŒr Telekommunikationsnetze. Einen wesentlichen Schwerpunkt dieser Arbeit stellt die Definition einer theoretischen Konzeptionierung und deren praktischer Realisierung eines Systems zur Cross Layer Optimierung fĂŒr Telekommunikationsnetze dar. Die durch diese Doktorarbeit analysierten wissenschaftlichen Fragestellungen betreffen u.a. die Anwendbarkeit von Cross Layer OptimierungsansĂ€tzen auf Telekommunikationsnetzwerke; die Betrachtung neuartiger Anforderungen; existierende Konzepte, AnsĂ€tze und Lösungen; die Abdeckung neuer FunktionalitĂ€ten durch bereits existierende Lösungen; und letztendlich den erkennbaren Mehrwert des neu vorgeschlagenen Konzepts gegenĂŒber den bestehenden Lösungen. Die wissenschaftlichen BeitrĂ€ge dieser Doktorarbeit lassen sich grob durch vier SĂ€ulen skizzieren: Erstens werden der Stand der Wissenschaft und Technik analysiert und bewertet, Anforderungen erhoben und eine LĂŒckenanalyse vorgenommen. Zweitens werden Herausforderungen, Möglichkeiten, Limitierungen und Konzeptionierungsaspekte eines Modells zur Cross Layer Optimierung analysiert und evaluiert. Drittens wird ein konzeptionelles Modell - Generic Adaptive Resource Control (GARC) - spezifiziert, als Prototyp realisiert und ausgiebig validiert. Viertens werden theoretische und praktische BeitrĂ€ge dieser Doktorarbeit vertiefend analysiert und bewertet.As the telecommunication world moves towards a data-only network environment, signaling, voice and other data are similarly transported as Internet Protocol packets. New requirements, challenges and opportunities are bound to this transition and influence telecommunication architectures accordingly. In this time in which the Internet in general, and telecommunication networks in particular, have entered critical infrastructures and systems, it is of high importance to guarantee efficient and flexible data transport. A certain level of Quality-of-Service (QoS) for critical services is crucial even during overload situations in the access and core network, as these two are the bottlenecks in the network. However, the current telecommunication architecture is rigid and static, which offers very limited flexibility and adaptability. Several concepts on clean slate as well as evolutionary approaches have been proposed and defined in order to cope with these new challenges and requirements. One of these approaches is the Cross Layer Optimization paradigm. This concept omits the strict separation and isolation of the Application-, Control- and Network-Layers as it enables interaction and fosters Cross Layer Optimization among them. One indicator underlying this trend is the programmability of network functions, which emerges clearly during the telecommunication network evolution towards the Future Internet. The concept is regarded as one solution for service control in future mobile core networks. However, no standardized approach for Cross Layer signaling nor optimizations in between the individual layers have been standardized at the time this thesis was written. The main objective of this thesis is the design, implementation and evaluation of a Cross Layer Optimization concept on telecommunication networks. A major emphasis is given to the definition of a theoretical model and its practical realization through the implementation of a Cross Layer network resource optimization system for telecommunication systems. The key questions answered through this thesis are: in which way can the Cross Layer Optimization paradigm be applied on telecommunication networks; which new requirements arise; which of the required functionalities cannot be covered through existing solutions, what other conceptual approaches already exist and finally whether such a new concept is viable. The work presented in this thesis and its contributions can be summarized in four parts: First, a review of related work, a requirement analysis and a gap analysis were performed. Second, challenges, limitations, opportunities and design aspects for specifying an optimization model between application and network layer were formulated. Third, a conceptual model - Generic Adaptive Resource Control (GARC) - was specified and its prototypical implementation was realized. Fourth, the theoretical and practical thesis contributions was validated and evaluated
On the Rollout of Network Slicing in Carrier Networks: A Technology Radar
Network slicing is a powerful paradigm for network operators to support use cases with
widely diverse requirements atop a common infrastructure. As 5G standards are completed, and
commercial solutions mature, operators need to start thinking about how to integrate network slicing
capabilities in their assets, so that customer-facing solutions can be made available in their portfolio.
This integration is, however, not an easy task, due to the heterogeneity of assets that typically exist
in carrier networks. In this regard, 5G commercial networks may consist of a number of domains,
each with a different technological pace, and built out of products from multiple vendors, including
legacy network devices and functions. These multi-technology, multi-vendor and brownfield features
constitute a challenge for the operator, which is required to deploy and operate slices across all these
domains in order to satisfy the end-to-end nature of the services hosted by these slices. In this context,
the only realistic option for operators is to introduce slicing capabilities progressively, following a
phased approach in their roll-out. The purpose of this paper is to precisely help designing this kind
of plan, by means of a technology radar. The radar identifies a set of solutions enabling network
slicing on the individual domains, and classifies these solutions into four rings, each corresponding
to a different timeline: (i) as-is ring, covering todayâs slicing solutions; (ii) deploy ring, corresponding
to solutions available in the short term; (iii) test ring, considering medium-term solutions; and
(iv) explore ring, with solutions expected in the long run. This classification is done based on the
technical availability of the solutions, together with the foreseen market demands. The value of this
radar lies in its ability to provide a complete view of the slicing landscape with one single snapshot,
by linking solutions to information that operators may use for decision making in their individual
go-to-market strategies.H2020 European Projects 5G-VINNI (grant agreement No. 815279) and 5G-CLARITY (grant agreement No. 871428)Spanish national project TRUE-5G (PID2019-108713RB-C53
QoE on media deliveriy in 5G environments
231 p.5G expandirĂĄ las redes mĂłviles con un mayor ancho de banda, menor latencia y la capacidad de proveer conectividad de forma masiva y sin fallos. Los usuarios de servicios multimedia esperan una experiencia de reproducciĂłn multimedia fluida que se adapte de forma dinĂĄmica a los intereses del usuario y a su contexto de movilidad. Sin embargo, la red, adoptando una posiciĂłn neutral, no ayuda a fortalecer los parĂĄmetros que inciden en la calidad de experiencia. En consecuencia, las soluciones diseñadas para realizar un envĂo de trĂĄfico multimedia de forma dinĂĄmica y eficiente cobran un especial interĂ©s. Para mejorar la calidad de la experiencia de servicios multimedia en entornos 5G la investigaciĂłn llevada a cabo en esta tesis ha diseñado un sistema mĂșltiple, basado en cuatro contribuciones.El primer mecanismo, SaW, crea una granja elĂĄstica de recursos de computaciĂłn que ejecutan tareas de anĂĄlisis multimedia. Los resultados confirman la competitividad de este enfoque respecto a granjas de servidores. El segundo mecanismo, LAMB-DASH, elige la calidad en el reproductor multimedia con un diseño que requiere una baja complejidad de procesamiento. Las pruebas concluyen su habilidad para mejorar la estabilidad, consistencia y uniformidad de la calidad de experiencia entre los clientes que comparten una celda de red. El tercer mecanismo, MEC4FAIR, explota las capacidades 5G de analizar mĂ©tricas del envĂo de los diferentes flujos. Los resultados muestran cĂłmo habilita al servicio a coordinar a los diferentes clientes en la celda para mejorar la calidad del servicio. El cuarto mecanismo, CogNet, sirve para provisionar recursos de red y configurar una topologĂa capaz de conmutar una demanda estimada y garantizar unas cotas de calidad del servicio. En este caso, los resultados arrojan una mayor precisiĂłn cuando la demanda de un servicio es mayor
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