Les opérateurs sauront-ils survivre dans un monde en constante évolution? Considérations techniques conduisant à des scénarios de rupture

Le secteur des télécommunications passe par une phase délicate en raison de profondes mutations technologiques, principalement motivées par le développement de l'Internet. Elles ont un impact majeur sur l'industrie des télécommunications dans son ensemble et, par conséquent, sur les futurs déploiements des nouveaux réseaux, plateformes et services. L'évolution de l'Internet a un impact particulièrement fort sur les opérateurs des télécommunications (Telcos). En fait, l'industrie des télécommunications est à la veille de changements majeurs en raison de nombreux facteurs, comme par exemple la banalisation progressive de la connectivité, la domination dans le domaine des services de sociétés du web (Webcos), l'importance croissante de solutions à base de logiciels et la flexibilité qu'elles introduisent (par rapport au système statique des opérateurs télécoms). Cette thèse élabore, propose et compare les scénarios possibles basés sur des solutions et des approches qui sont technologiquement viables. Les scénarios identifiés couvrent un large éventail de possibilités: 1) Telco traditionnel; 2) Telco transporteur de Bits; 3) Telco facilitateur de Plateforme; 4) Telco fournisseur de services; 5) Disparition des Telco. Pour chaque scénario, une plateforme viable (selon le point de vue des opérateurs télécoms) est décrite avec ses avantages potentiels et le portefeuille de services qui pourraient être fournisThe telecommunications industry is going through a difficult phase because of profound technological changes, mainly originated by the development of the Internet. They have a major impact on the telecommunications industry as a whole and, consequently, the future deployment of new networks, platforms and services. The evolution of the Internet has a particularly strong impact on telecommunications operators (Telcos). In fact, the telecommunications industry is on the verge of major changes due to many factors, such as the gradual commoditization of connectivity, the dominance of web services companies (Webcos), the growing importance of software based solutions that introduce flexibility (compared to static system of telecom operators). This thesis develops, proposes and compares plausible future scenarios based on future solutions and approaches that will be technologically feasible and viable. Identified scenarios cover a wide range of possibilities: 1) Traditional Telco; 2) Telco as Bit Carrier; 3) Telco as Platform Provider; 4) Telco as Service Provider; 5) Telco Disappearance. For each scenario, a viable platform (from the point of view of telecom operators) is described highlighting the enabled service portfolio and its potential benefitsEVRY-INT (912282302) / SudocSudocFranceF

Machine Learning Techniques Applied to Telecommunication Data

In attesa di ABSTRACT- Tecniche di Machine Learning Applicate a Dati di Telecomunicazion

Real-time data analytic platform

Atualmente, o mundo dos dados está a crescer, sobretudo nas áreas de Data Science e Data Engineering. A análise de dados, tem-se tornado cada vez mais relevante para obter um conhecimento mais profundo sobre uma determinada empresa e representa uma oportunidade de negócio, precisamente devido à emergente presença de dados derivados da Inteligência Artificial, Internet of Things (IoT), social media e componentes de software/hardware. De modo a processar, analisar e distribuir estes dados num curto espaço de tempo, o tem ganho popularidade e as plataformas de análise de dados em tempo real começaram a surgir, colocando de lado os tradicionais processamentos de dados por lotes. De facto, para desenvolver uma plataforma de análise de dados, em tempo real ou não, as arquiteturas de Big Data e os seus componentes tornaram-se essenciais. As arquiteturas de Big Data existentes, Lambda e Kappa, são suportadas por vários componentes, oferecendo a oportunidade de explorar as suas funcionalidades para desenvolver plataformas de análise de dados em tempo real. Ao implementar este tipo de soluções, surge, por vezes, a questão sob qual das arquiteturas será a mais adequada a um determinado tipo de negócio. Neste relatório de estágio, é demonstrada a análise e conclusões sobre uma possível correlação entre os tipos de negócio e quais as soluções de análise de dados mais adequadas para os suportar. Ao longo deste documento, é ainda ponderada a possibilidade de desenvolver uma plataforma de análise de dados em tempo real, genérica o suficiente, para ser aplicável em qualquer tipo de negócio, reduzindo significativamente os custos de desenvolvimento e implementação. Neste contexto, são examinadas as arquiteturas Lambda e Kappa, por forma a entender se são suficientemente universais para essa possibilidade ou se é viável uma personalização baseada nos seus componentes. De modo a comprovar se qualquer uma destas arquiteturas de é implementável numa plataforma genérica de análise de dados em tempo real, o relatório também descreve o desenvolvimento de um caso de uso específico baseado na arquitetura Kappa

Modernin Datakeskuksen Energiatehokkuus

Digitalization is here and everyday more and more data are being stored or transferred over the internet. That means that more datacenters are needed and with their growing number the question is if this development is sustainable for energy efficiency. That is why this thesis studies what are the essential factors contributing to the energy efficiency, so the datacenter owners can maximize their energy efficiency and keep the outlook for future sustainable. Through studying 3 datacenters here in Finland and holding interviews this thesis has gathered the following essential factors that contribute to the energy efficiency: business model, datacenter size, reuse of waste heat energy, location, renewability, transparency and open innovation. Concentrating on these factors and making sure that they align with their own business case, datacenter owners can make sure that they can also retain sustainability with their datacenters in future.Digitalisaatio on täällä ja joka päivä yhä enemmän dataa tallennetaan tai siirretään internetin yli. Tämä tarkoittaa, että tarvitaan yhä enemmän datakeskuksia ja niiden kasvavan lukumäärän vuoksi voi kysyäkin, että onko tämä kehitys kestävää energia tehokkuuden kannalta. Tämän takia tämä diplomityö tutkii mitkä ovat olennaisia tekijöitä energiatehokkuuden kannalta, jotta datakeskusten omistajat voisivat maksimoida heidän energiatehokkuutensa ja pitää tulevaisuuden näkymät kestävinä. Tutkimalla 3 datakeskusta täällä Suomessa sekä pitämällä haastatteluita tämä diplomityö on kerännyt seuraavat olennaiset tekijät, jotka edistävät energia tehokkuutta: liiketoimintamalli, datakeskuksen koko, hukkalämmön hyötykäyttö, sijainti, uusiutuvuus, läpinäkyvyys ja avoin innovointi. Keskittymällä näihin tekijöihin ja varmistamalla että ne sopivat yhteen oman liiketoiminnan kanssa, datakeskus omistajat voivat varmistaa, että he säilyttävät kestävyyden myös tulevaisuudessa datakeskustensa kanssa

A data-driven framework for investigating customer retention

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University London.This study presents a data-driven simulation framework in order to understand customer behaviour and therefore improve customer retention. The overarching system design methodology used for this study is aligned with the design science paradigm. The Social Media Domain Analysis (SoMeDoA) approach is adopted and evaluated to build a model on the determinants of customer satisfaction in the mobile services industry. Furthermore, the most popular machine learning algorithms for analysing customer churn are applied to analyse customer retention based on the derived determinants. Finally, a data-driven approach for agent-based modelling is proposed to investigate the social effect of customer retention. The key contribution of this study is the customer agent decision trees (CADET) approach and a data-driven approach for Agent-Based Modelling (ABM). The CADET approach is applied to a dataset provided by a UK mobile services company. One of the major findings of using the CADET approach to investigate customer retention is that social influence, specifically word of mouth has an impact on customer retention. The second contribution of this study is the method used to uncover customer satisfaction determinants. The SoMeDoA framework was applied to uncover determinants of customer satisfaction in the mobile services industry. Customer service, coverage quality and price are found to be key determinants of customer satisfaction in the mobile services industry. The third contribution of this study is the approach used to build customer churn prediction models. The most popular machine learning techniques are used to build customer churn prediction models based on identified customer satisfaction determinants. Overall, for the identified determinants, decision trees have the highest accuracy scores for building customer churn prediction models

Live, Personal Data Integration Through UI-Oriented Computing

This paper proposes a new perspective on the problem of data integration on the Web: the one of the Surface Web. It introduces the concept of UI-oriented computing as a computing paradigm whose core ingredient are the user interfaces that build up the SurfaceWeb, and shows how a sensible mapping of data integration tasks to user interface elements and user interactions is able to cope with data integration scenarios that so far have only be conceived for the Deep Web with its APIs and Web services. The described approach provides a novel conceptual and technological framework for practices, such as the integration of data APIs/services and the extraction of content from Web pages, that are common practice but still not adequately supported. The approach targets both programmers and users alike and comes as an extensible, open-source browser extension

Social Capital and Knowledge Sharing in Global Virtual Teams

Virtual collaborations gradually emerged with the development of information and communication technologies coupled with the invention of the internet. It became easier and more cost effective to bring the best talents together to work on common tasks and combine their expertise and knowledge regardless of their physical locations. The utilization of broader, richer and more diverse knowledge bases is the underlying argument for using global virtual teams as a new work arrangement. However, virtual settings present challenges for building social capital among team members which can consequently undermine interpersonal knowledge sharing. This study addresses these interrelationships through two main research questions. The first question looks at the characteristics of global virtual teams that affect the development of social capital among virtual team members. The second research question aims to investigate the main factors of social capital that influence interpersonal knowledge sharing in global virtual teams. The empirical study was conducted through qualitative research methods in the form of an in-depth case study of semi-structured personal and phone interviews. Ten interviews with representatives from five different countries were carried out to collect data for the research. The role of geographical dispersions of team members, high reliance on information and communication technology, and cultural and language diversities in the development of social capital and knowledge sharing within global virtual teams was observed. Based on the collected data, the factors influencing the development of three dimensions of social capital and their impact on knowledge sharing in global virtual teams were identified. The results of the research show that technology alone does not ensure knowledge sharing. Building social capital helps mediate the communication challenges and breakdowns within global virtual teams and reduce associated losses. Teams that develop social capital are more responsive and attentive to other members’ communication, information, and knowledge needs.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

How organisational transformation factors influence on market orientation and the effect of organisation culture? A study on Sri Lankan telecommunication sector

The telecommunication industry has become a key driving force of the Sri Lankan economy. The telecommunication as a service sector is highly competitive in the Sri Lankan market, which plays a vital role in the new digital era. The study has focused on Sri Lankan telecommunication industry by considering its frequently changing business environment. The concept of organisational transformation has been a major initiative for many organisations to survive in rapidly changing and competitive business environment. Telecom operators in Sri Lanka have taken many transformational initiatives within last ten to fifteen years based on different factors to face the competitive business environment. During transformational initiatives, telco operators have followed the success stories of international telecom operators or few transformational factors to achieve success. It is questionable whether they achieve expected targets. Tremendous efforts taken through various studies to identify the success factors of organisation transformation, but the failure factors were not highlighted to a considerable level. Most of the studies have considered few transformational factors at a time while analysing the market orientation components and this study address the research gap. The study has chosen positivism as the research philosophy and followed the deductive approach in justifying variables towards building the conceptual framework. The study measure the relationship between different variables and factors i.e. organisation leadership, resources, tructure, systems and innovation as independent variables, organisational culture as the mediating variable and market orientation as the dependent variable. The internal consistency and reliability of variables have been verified over a pilot study. The study has used a sample of 330,which represents different levels of executives in three major telecom operators in Sri Lanka. The different executive grade members were selected using stratified cluster sampling to receive responses using quantitative technique. The hypotheses were tested using Smart–PLS software and Bootstrapping option was used to examine the mediating effect. Results verified that organisational transformation significantly influence market orientation whilst the impact of transformation on organizational culture was also proven. The relationship between organizational culture and market orientation also proved and found a significant mediation effect of organizational culture on the relationship between organisational transformation and market orientation. The final chapter presents the overall summery with the recommendations for managerial implications

Journal of Telecommunications in Higher Education

In This Issue 6 Meeting Bandwidth Challenges on Campus 12 Voice-over-LAN: A Solution for Convergence in the Enterprise 20 Going Beyond Best Effort IP Networking 25 The Politics of Convergence 32 Pursuing the Promise of the Paperless Office 38 New Visions for University Cellular Service 44 Maintaining Excellence at UM