Testing a Cloud Provider Network for Hybrid P2P and Cloud Streaming Architectures

The number of online real-time streaming services deployed over network topologies like P2P or centralized ones has remarkably increased in the recent years. This has revealed the lack of networks that are well prepared to respond to this kind of traffic. A hybrid distribution network can be an efficient solution for real-time streaming services. This paper contains the experimental results of streaming distribution in a hybrid architecture that consist of mixed connections among P2P and Cloud nodes that can interoperate together. We have chosen to represent the P2P nodes as Planet Lab machines over the world and the cloud nodes using a Cloud provider's network. First we present an experimental validation of the Cloud infrastructure's ability to distribute streaming sessions with respect to some key streaming QoS parameters: jitter, throughput and packet losses. Next we show the results obtained from different test scenarios, when a hybrid distribution network is used. The scenarios measure the improvement of the multimedia QoS parameters, when nodes in the streaming distribution network (located in different continents) are gradually moved into the Cloud provider infrastructure. The overall conclusion is that the QoS of a streaming service can be efficiently improved, unlike in traditional P2P systems and CDN, by deploying a hybrid streaming architecture. This enhancement can be obtained by strategic placing of certain distribution network nodes into the Cloud provider infrastructure, taking advantage of the reduced packet loss and low latency that exists among its datacenters.

Opportunities and Challenges of Implementing P2P Streaming Applications in the Web

P2P applications are increasingly present on the web. We have identified a gap in current proposals when it comes to the use of traditional P2P overlays for real-time multimedia streaming. We analyze the possibilities and challenges to extend WebRTC in order to implement JavaScript APIs for P2P streaming algorithms.

Popularity based distribution schemes for P2P assisted streaming of VoD contents

The Video on Demand (VoD) service is becoming a dominant service in the telecommunication market due to the great convenience regarding the choice of content items and their independent viewing time. However, it comes with the downsides of high server storage and capacity demands because of the large variety of content items and the high amount of traffic generated for serving all requests. Storing part of the popular contents on the peers brings certain advantages but, it still has issues regarding the overall traffic in the core of the network and the scalability. Therefore, we propose a P2P assisted model for streaming VoD contents that takes advantage of the clients unused uplink and storage capacity to serve requests of other clients and we present popularity based schemes for distribution of both the popular and unpopular contents on the peers. The proposed model and the schemes prove to reduce the streaming traffic in the core of the network, improve the responsiveness of the system and increase its scalability.

P2P assisted streaming for low popularity VoD contents

The Video on Demand (VoD) service is becoming a dominant service in the telecommunication market due to the great convenience regarding the choice of content items and their independent viewing time. However, due to its high traffic demand nature, the VoD streaming systems are faced with the problem of huge amounts of traffic generated in the core of the network, especially for serving the requests for content items that are not in the top popularity range. Therefore, we propose a peer assisted VoD model that takes advantage of the clients unused uplink and storage capacity to serve requests for less popular items with the objective to keep the traffic on the periphery of the network, reduce the transport cost in the core of the network and make the system more scalable.

Business model with discount incentive in a P2P-cloud multimedia streaming system

Today P2P faces two important challenges: design of mechanisms to encourage users' collaboration in multimedia live streaming services; design of reliable algorithms with QoS provision, to encourage the multimedia providers employ the P2P topology in commercial live streaming systems. We believe that these two challenges are tightly-related and there is much to be done with respect. This paper analyzes the effect of user behavior in a multi-tree P2P overlay and describes a business model based on monetary discount as incentive in a P2P-Cloud multimedia streaming system. We believe a discount model can boost up users' cooperation and loyalty and enhance the overall system integrity and performance. Moreover the model bounds the constraints for a provider's revenue and cost if the P2P system is leveraged on a cloud infrastructure. Our case study shows that a streaming system provider can establish or adapt his business model by applying the described bounds to achieve a good discount-revenue trade-off and promote the system to the users.

A novel monetary incentive for commercial P2P streaming

Today P2P faces two important challenges: design of mechanisms to encourage users’ collaboration in multimedia live streaming services; design of reliable algorithms with QoS provision, to encourage multimedia providers employ the P2P topology in commercial streaming services. We believe that these two challenges are tightly-related and there is much to be done with respect. This paper proposes a novel monetary incentive for P2P multimedia streaming. The incentive model classifies the users in groups according to the perceived video quality. We apply the model to a streaming system’s billing model in order to evaluate its feasibility and visualize its quantitative effect on the users’ motivation and the provider’s profit. We conclude that monetary incentive can boost up users’ cooperation, loyalty and enhance the overall system integrity and performance. Moreover the model defines the constraints for the provider’s cost and profit when the system is leveraged on the cloud. Considering those constraints, a multimedia content provider can adapt the billing model of his streaming service and achieve desirable discount-profit trade-off. This will moreover contribute to better promotion of the service, across the users on the Internet.

Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis

This article proposes a MAS architecture for network diagnosis under uncertainty. Network diagnosis is divided into two inference processes: hypothesis generation and hypothesis confirmation. The first process is distributed among several agents based on a MSBN, while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been defined in order to combine both inference processes. To drive the deliberation process, dynamic data about the influence of observations are taken during diagnosis process. In order to achieve quick and reliable diagnoses, this influence is used to choose the best action to perform. This approach has been evaluated in a P2P video streaming scenario. Computational and time improvements are highlight as conclusions.

A multi-agent system with distributed bayesian reasoning for network fault diagnosis

In this paper, an innovative approach to perform distributed Bayesian inference using a multi-agent architecture is presented. The final goal is dealing with uncertainty in network diagnosis, but the solution can be of applied in other fields. The validation testbed has been a P2P streaming video service. An assessment of the work is presented, in order to show its advantages when it is compared with traditional manual processes and other previous systems.

Diseño y aplicación de una metodología prospectiva para la determinación de los condicionantes futuros del crecimiento de los grandes buques portacontenedores

Durante las últimas décadas se observa una tendencia sostenida al crecimiento en las dimensiones de los grandes buques portacontenedores, que produce, que las infraestructuras portuarias y otras destinadas al tráfico de contenedores deban adaptarse para poder brindar los servicios correspondientes y mantenerse competitivas con otras para no perder el mercado. Esta situación implica importantes inversiones y modificaciones en los sistemas de transporte de contenedores por el gran volumen de carga que se debe mover en un corto periodo de tiempo, lo que genera la necesidad de tomar previsiones relacionadas con la probable evolución a futuro de las dimensiones que alcanzarán los grandes buques portacontenedores. En relación a los aspectos citados surge la inquietud de determinar los condicionantes futuros del crecimiento de los grandes buques portacontenedores, con una visión totalizadora de todos los factores que incidirán en los próximos años, ya sea como un freno o un impulso a la tendencia que se verifica en el pasado y en el presente. En consideración a que el tema a tratar y resolver se encuentra en el futuro, con un horizonte de predicción de veinte años, se diseña y se aplica una metodología prospectiva, que permite alcanzar conclusiones con mayor grado de objetividad sobre probables escenarios futuros. La metodología prospectiva diseñada, conjuga distintas herramientas metodológicas, cualitativas, semi-cuantitativas y cuantitativas que se validan entre sí. Sobre la base del pasado y el presente, las herramientas cuantitativas permiten encontrar relaciones entre variables y hacer proyecciones, sin embargo, estas metodologías pierden validez más allá de los tres a cuatro años, por los vertiginosos y dinámicos cambios que se producen actualmente, en las áreas política, social y económica. Las metodologías semi-cuantitativas y cualitativas, empleadas en forma conjunta e integradas, permiten el análisis de circunstancias del pasado y del presente, obteniendo resultados cuantitativos que se pueden proyectar hacia un futuro cercano, los que integrados en estudios cualitativos proporcionan resultados a largo plazo, facilitando considerar variables cualitativas como la creciente preocupación por la preservación del medio ambiente y la piratería. La presente tesis, tiene como objetivo principal “identificar los condicionantes futuros del crecimiento de los grandes buques portacontenedores y determinar sus escenarios”. Para lo cual, la misma se estructura en fases consecutivas y que se retroalimentan continuamente. Las tres primeras fases son un enfoque sobre el pasado y el presente, que establece el problema a resolver. Se estudian los antecedentes y el estado del conocimiento en relación a los factores y circunstancias que motivaron y facilitaron la tendencia al crecimiento de los grandes buques. También se estudia el estado del conocimiento de las metodologías para predecir el futuro y se diseña de una metodología prospectiva. La cuarta fase, denominada Resultados, se desarrolla en distintas etapas, fundamentadas en las fases anteriores, con el fin de resolver el problema dando respuestas a las preguntas que se formularon para alcanzar el objetivo fijado. En el proceso de esta fase, con el objeto de predecir probables futuros, se aplica la metodología prospectiva diseñada, que contempla el análisis del pasado y el presente, que determina los factores cuya influencia provocó el crecimiento en dimensiones de los grandes buques hasta la actualidad, y que constituye la base para emplear los métodos prospectivos que permiten determinar qué factores condicionarán en el futuro la evolución de los grandes buques. El probable escenario futuro formado por los factores determinados por el criterio experto, es validado mediante un modelo cuantitativo dinámico, que además de obtener el probable escenario futuro basado en las tendencias de comportamiento hasta el presente de los factores determinantes considerados, permite estudiar distintos probables escenarios futuros en función de considerar un cambio en la tendencia futura de los factores determinantes. El análisis del pasado indica que la tendencia al crecimiento de los grandes buques portacontenedores hasta el presente, se ha motivado por un crecimiento económico mundial que se tradujo en un aumento del comercio internacional, particularmente entre los países de Asia, con Europa y Estados Unidos. Esta tendencia se ha visto favorecida por el factor globalización y la acelerada evolución tecnológica que ha permitido superar los obstáculos que se presentaron. Es de destacar que aún en periodos de crisis económicas, con pronósticos de contracciones en el comercio, en los últimos años continuó la tendencia al crecimiento en dimensiones, en busca de una economía de escala para el transporte marítimo de contenedores, en las rutas transoceánicas. La investigación de la evolución de los grandes buques portacontenedores en el futuro, se efectúa mediante el empleo de una metodología prospectiva en la que el criterio experto se valida con un método cuantitativo dinámico, y además se fundamenta en una solida base pre-prospectiva. La metodología diseñada permite evaluar con un alto grado de objetividad cuales serán los condicionantes que incidirán en el crecimiento en tamaño de los grandes buques portacontenedores en el escenario con mayor probabilidad de acontecer en los próximos veinte años (2032), y también en otros escenarios que podrían presentarse en el caso de que los factores modifiquen su tendencia o bien se produzcan hechos aleatorios. El resultado se sintetiza en que la tendencia al crecimiento de los grandes buques portacontenedores en los próximos 20 años se verá condicionada por factores en relación a los conceptos de oferta (los que facilitan u obstaculizan la tendencia), demanda (los que motivan o impulsan la tendencia) y factores externos (los que desestabilizan el equilibrio entre oferta y demanda). La tendencia al crecimiento de los grandes buques portacontenedores se verá obstaculizada / limitada principalmente por factores relacionados a las infraestructuras, resultando los pasos y/o canales vinculados a las rutas marítimas, los limitantes futuros al crecimiento en dimensiones de los grandes buques portacontenedores; y la interacción buque / infraestructura (grúas) un factor que tenderá a obstaculizar esta tendencia de los grandes portacontenedores. El desarrollo económico mundial que estimula el comercio internacional y los factores precio del petróleo y condicionantes medioambientales impulsarán la tendencia al crecimiento de los grandes buques portacontenedores. Recent years have seen a sustained tendency towards the growth in the dimensions of large container ships. This has meant that port and other infrastructure used for container traffic has had to be adapted in order to provide the required services and to maintain a competitive position, so as not to lose market share. This situation implies the need for major investments in modifications to the container transport system, on account of the large volume of traffic to be handled in a short period of time. This in turn has generated a need to make provision for the probable future evolution of the ultimate dimensions that will be reached by large container ships. Such considerations give rise to the question of what are the future determinants for the growth of large container ships, requiring an overall vision of all the factors that will apply in future years, whether as a brake on or an incentive to the growth tendency which has been seen in the past and present In view of the fact that the theme to be dealt with and resolved relates to the future, with a forecasting horizon of some 20 years, a foresight methodology has been designed and applied so as to enable conclusions about probable future scenarios to be reached with a greater degree of objectivity. The designed methodology contains different methodological tools, both qualitative, semi-quantitative and quantitative, which are internally consistent. On the basis of past and present observations, the quantitative elements enable relationships to be established and forecasts to be made. Nevertheless such an approach loses validity more than three or four years into the future, on account of the very rapid and dynamic changes which may be seen at present in political, social and economic spheres. The semi-quantitative and qualitative methodologies are used coherently together and allow the analysis of past and present conditions, thus obtaining quantitative results which for short-term projections, which when integrated with the qualitative studies provide results for the long-term, facilitating the consideration of qualitative variables such as the increasing importance of environmental protection and the impact of piracy. The principal objective of the present thesis is "to identify the future conditions affecting the growth of large container ships and to determine possible scenarios". The thesis is structured in consecutive and related phases. The first three phases focus on the past and present in order to determine the problem to be resolved. The background is studied in order to establish the state of knowledge about the factors and circumstances which have motivated and facilitated the growth tendency for large container ships and the methodologies that have been used. In this way a specific foresight methodology is designed. The fourth phase, Results, is developed in distinct stages based on the previous phases, so as to resolve the problem posed and responding to the questions that arise. In this way the determined objective is reached. The fourth phase sees the application of the methodology that has been designed in order to predict posible futures. This includes analysis of the past and present factors which have caused the growth in the dimensions of large container ships up to the present. These provide the basis on which to apply the foresight methods which enable the future factors which will condition the development of such large container ships. The probable future scenarios are made up of the factors identified by expert judgement (using the Delphi technique) and validated by means of a dynamic quantitative model. This model both identifies the probable future scenarios based on past and present factors and enables the different future scenarios to be analysed as a function of future changes in the conditioning factors. Analysis of the past shows that the growth tendency up to the present for large container ships has been motivated by the growth of the world economy and the consequent increased international trade, especially between the countries of Asia with Europe and the United States. This tendency has been favoured by the trend towards globalization and by the rapid technical evolution in ship design, which has allowed the obstacles encountered to be overcome. It should be noted that even in periods of economic crisis, with an expectation for reduced trade, as experienced in recent years, the tendency towards increased ship dimensions has continued in search of economies of scale for the maritime transport of containers on transoceanic routes. The present investigation of the future evolution of large container ships has been done using a foresight methodology in which the expert judgement is validated by a dynamic quantitative methodology, founded on a firm pre-foresight analysis. The methodology that has been designed permits the evaluation, with a high degree of objectivity, of the future factors that will affect the growth of large container ships for the most probable scenario expected in the next 20 years (up to 2032). The evaluation applies also to other scenarios which may arise, in the event that their component factors are modified or indeed in the light of random events. In summary, the conclusión is that the tendency for growth in large container ships in the future 20 years will be determined by: factors related to supply, which slow or halt the tendency; factors related to demand, which encourage the tendency and finally, external factors which interrupt the equilibrium between supply and demand. The tendency for increasing growth in large container ships will be limited or even halted by factors related to infrastructure, including the natural and man-made straits and canals used by maritime transport. In addition the infrastructure required to serve such vessels both in port (including cranes and other equipment) and related transport, will tend to slow the growth tendency. The factors which will continue to encourage the tendency towards the growth of large container ships include world economic development, which stimulates international trade, and an increasing emphasis on environmental aspects.

Consumo colaborativo. Análisis, estudio de casos de éxito y buenas prácticas

Se pretende estudiar en este Trabajo Fin de Máster la influencia en la sociedad de un fenómeno de actualidad como es el consumo colaborativo. Para ello se han fijado dos objetivos relacionados entre sí. Por un lado profundizar en este nuevo movimiento desde todas sus aristas bajo un punto de vista teórico para conseguir una visión independiente de cada una de ellas así como una visión de conjunto que las relacione. De este modo, a nivel teórico, analizaremos conceptos tan importantes como son los factores claves para su aparición, la creación y modificación de nuevos mercados, sus modelos de negocio, los marketplaces P2P, los riesgos a los que se enfrenta y la financiación de estas iniciativas. Por otro lado, aplicaremos este conocimiento en una segunda parte práctica. Para ello, utilizando como metodología científica el estudio de casos, se analizan una serie de casos de éxito de los más significativos de este movimiento poniendo el foco en el panorama español. Por último extraeremos del análisis unas buenas prácticas que le puedan ser de utilidad a una ‘startup’ en sus primeros pasos. ABSTRACT I intend to study in this research the influence in the society of a new movement, the so called Collaborative Consumption – a form of consumption where people share goods and services. Two related objectives have been set in this context. On the one hand it will be necessary to deep into this new movement from different perspectives under a theoretical point of view to get an independent view of each one as well as an overview that relates all of them. To accomplish this, it will be necessary to discuss important concepts such as the key factors for its occurrence, the creation and modification of new markets, business models, the P2P marketplaces, the risks it faces and the funding part of these initiatives. On the other hand, we will apply this knowledge in a second practical part using the case study as scientific methodology. A series of case studies, the most significant of this movement, will be analyzed focusing on the Spanish landscape. Finally, we will derive from the analysis a set of best practices that could be helpful to a start-up in its first steps.

Automatic fault detection on BIPV systems without solar irradiation data

BIPV systems are small PV generation units spread out over the territory, and whose characteristics are very diverse. This makes difficult a cost-effective procedure for monitoring, fault detection, performance analyses, operation and maintenance. As a result, many problems affecting BIPV systems go undetected. In order to carry out effective automatic fault detection procedures, we need a performance indicator that is reliable and that can be applied on many PV systems at a very low cost. The existing approaches for analyzing the performance of PV systems are often based on the Performance Ratio (PR), whose accuracy depends on good solar irradiation data, which in turn can be very difficult to obtain or cost-prohibitive for the BIPV owner. We present an alternative fault detection procedure based on a performance indicator that can be constructed on the sole basis of the energy production data measured at the BIPV systems. This procedure does not require the input of operating conditions data, such as solar irradiation, air temperature, or wind speed. The performance indicator, called Performance to Peers (P2P), is constructed from spatial and temporal correlations between the energy output of neighboring and similar PV systems. This method was developed from the analysis of the energy production data of approximately 10,000 BIPV systems located in Europe. The results of our procedure are illustrated on the hourly, daily and monthly data monitored during one year at one BIPV system located in the South of Belgium. Our results confirm that it is possible to carry out automatic fault detection procedures without solar irradiation data. P2P proves to be more stable than PR most of the time, and thus constitutes a more reliable performance indicator for fault detection procedures. We also discuss the main limitations of this novel methodology, and we suggest several future lines of research that seem promising to improve on these procedures.

Desarrollo de aplicaciones android usando la tecnología wifi-direct

Este proyecto de fin de grado pretende demostrar la importancia y la utilidad de la creación de redes de dispositivos móviles conectados entre sí. Para ello se explicarán varios tipos de redes inalámbricas que permiten estas conexiones directas entre dispositivos sin la necesidad de un servidor. En estas redes inalámbricas se destacan las redes P2P y las redes Ad-hoc, las cuales se explicarán posteriormente. El despliegue de estas redes se puede encontrar en un amplio rango de campos como puede ser la agricultura, la medicina e incluso en el ámbito militar. Es objetivo de este proyecto, además, el estudio de la tecnología Wi-Fi Direct creada por la Wi-Fi Alliance. Como se explicará a lo largo del proyecto, Wi-Fi Direct está basado en las redes P2P. Esta tecnología permite a los dispositivos cercanos crear redes P2P a través de la red Wi-Fi sin la necesidad de un punto de acceso a Internet. Por otro lado, una gran cantidad de los dispositivos móviles que existen actualmente poseen el sistema operativo Android. Android ha incorporado en sus dispositivos más recientes la tecnología Wi-Fi Direct. Debido a ello han ido surgiendo aplicaciones que usando esta tecnología consiguen desde enviar ficheros hasta indicar la localización de un usuario. Esta tecnología combinada con este tipo de dispositivos puede ser muy útil para utilizar en casos de emergencia donde las infraestructuras de comunicaciones no estén disponibles ya que al no necesitar un punto de acceso a internet es posible la comunicación entre un usuario en peligro y otro que se encuentre dentro de un radio cercano. Por estos motivos otro de los principales objetivos de este proyecto es la implementación de una aplicación para dispositivos Android que use la tecnología Wi-Fi Direct para realizar varias funcionalidades diferentes, como es el intercambio de ficheros entre dispositivos y la creación de un chat para la comunicación simultanea entre dos dispositivos. Con esto se pretende conocer mejor el funcionamiento de la tecnología Wi-Fi Direct y demostrar su utilidad en los dispositivos móviles como son los dispositivos Android. ABSTRACT. This final degree Project tries to demonstrate the importance and utility of networking mobile devices. For this purpose several types of wireless networks will be explained. These networks allow direct connections between devices. The most prominent Wireless networks are P2P and Ad-hoc which will be explained later. The use of these networks can be found in a wide range of fields such as agriculture medicine, and even in the military sector. Besides, other aim of this project is the study of Wi-Fi Direct Technology which is created by Wi-Fi Alliance. As it explained along the project, Wi-Fi Direct is based on P2P networks. This technology lets nearby devices create P2P networks through Wi-Fi network without an Internet access point. On the other hand, a large number of mobile devices have the Android OS. Android has integrated Wi-Fi Direct technology in its latest devices. Because of this applications have emerged that using this technology they get from sending files to send the user’s location. This technology combined with these devices can be very useful to use in emergencies where communications infrastructures are not available. Since not need an Internet access point, communication between a user in danger and another within close radius is possible. For these reasons another of the main aims of this project is the implementation of an application for Android devices which use Wi-Fi Direct technology to perform several different functionalities, such as file exchange or chat for simultaneous communication between devices. This is intended to better understand the operation of Wi-Fi Direct technology and prove its utility on mobile devices such as Android devices.

Clasificación de tráfico de Internet mediante análisis de datos

Poder clasificar de manera precisa la aplicación o programa del que provienen los flujos que conforman el tráfico de uso de Internet dentro de una red permite tanto a empresas como a organismos una útil herramienta de gestión de los recursos de sus redes, así como la posibilidad de establecer políticas de prohibición o priorización de tráfico específico. La proliferación de nuevas aplicaciones y de nuevas técnicas han dificultado el uso de valores conocidos (well-known) en puertos de aplicaciones proporcionados por la IANA (Internet Assigned Numbers Authority) para la detección de dichas aplicaciones. Las redes P2P (Peer to Peer), el uso de puertos no conocidos o aleatorios, y el enmascaramiento de tráfico de muchas aplicaciones en tráfico HTTP y HTTPS con el fin de atravesar firewalls y NATs (Network Address Translation), entre otros, crea la necesidad de nuevos métodos de detección de tráfico. El objetivo de este estudio es desarrollar una serie de prácticas que permitan realizar dicha tarea a través de técnicas que están más allá de la observación de puertos y otros valores conocidos. Existen una serie de metodologías como Deep Packet Inspection (DPI) que se basa en la búsqueda de firmas, signatures, en base a patrones creados por el contenido de los paquetes, incluido el payload, que caracterizan cada aplicación. Otras basadas en el aprendizaje automático de parámetros de los flujos, Machine Learning, que permite determinar mediante análisis estadísticos a qué aplicación pueden pertenecer dichos flujos y, por último, técnicas de carácter más heurístico basadas en la intuición o el conocimiento propio sobre tráfico de red. En concreto, se propone el uso de alguna de las técnicas anteriormente comentadas en conjunto con técnicas de minería de datos como son el Análisis de Componentes Principales (PCA por sus siglas en inglés) y Clustering de estadísticos extraídos de los flujos procedentes de ficheros de tráfico de red. Esto implicará la configuración de diversos parámetros que precisarán de un proceso iterativo de prueba y error que permita dar con una clasificación del tráfico fiable. El resultado ideal sería aquel en el que se pudiera identificar cada aplicación presente en el tráfico en un clúster distinto, o en clusters que agrupen grupos de aplicaciones de similar naturaleza. Para ello, se crearán capturas de tráfico dentro de un entorno controlado e identificando cada tráfico con su aplicación correspondiente, a continuación se extraerán los flujos de dichas capturas. Tras esto, parámetros determinados de los paquetes pertenecientes a dichos flujos serán obtenidos, como por ejemplo la fecha y hora de llagada o la longitud en octetos del paquete IP. Estos parámetros serán cargados en una base de datos MySQL y serán usados para obtener estadísticos que ayuden, en un siguiente paso, a realizar una clasificación de los flujos mediante minería de datos. Concretamente, se usarán las técnicas de PCA y clustering haciendo uso del software RapidMiner. Por último, los resultados obtenidos serán plasmados en una matriz de confusión que nos permitirá que sean valorados correctamente. ABSTRACT. Being able to classify the applications that generate the traffic flows in an Internet network allows companies and organisms to implement efficient resource management policies such as prohibition of specific applications or prioritization of certain application traffic, looking for an optimization of the available bandwidth. The proliferation of new applications and new technics in the last years has made it more difficult to use well-known values assigned by the IANA (Internet Assigned Numbers Authority), like UDP and TCP ports, to identify the traffic. Also, P2P networks and data encapsulation over HTTP and HTTPS traffic has increased the necessity to improve these traffic analysis technics. The aim of this project is to develop a number of techniques that make us able to classify the traffic with more than the simple observation of the well-known ports. There are some proposals that have been created to cover this necessity; Deep Packet Inspection (DPI) tries to find signatures in the packets reading the information contained in them, the payload, looking for patterns that can be used to characterize the applications to which that traffic belongs; Machine Learning procedures work with statistical analysis of the flows, trying to generate an automatic process that learns from those statistical parameters and calculate the likelihood of a flow pertaining to a certain application; Heuristic Techniques, finally, are based in the intuition or the knowledge of the researcher himself about the traffic being analyzed that can help him to characterize the traffic. Specifically, the use of some of the techniques previously mentioned in combination with data mining technics such as Principal Component Analysis (PCA) and Clustering (grouping) of the flows extracted from network traffic captures are proposed. An iterative process based in success and failure will be needed to configure these data mining techniques looking for a reliable traffic classification. The perfect result would be the one in which the traffic flows of each application is grouped correctly in each cluster or in clusters that contain group of applications of similar nature. To do this, network traffic captures will be created in a controlled environment in which every capture is classified and known to pertain to a specific application. Then, for each capture, all the flows will be extracted. These flows will be used to extract from them information such as date and arrival time or the IP length of the packets inside them. This information will be then loaded to a MySQL database where all the packets defining a flow will be classified and also, each flow will be assigned to its specific application. All the information obtained from the packets will be used to generate statistical parameters in order to describe each flow in the best possible way. After that, data mining techniques previously mentioned (PCA and Clustering) will be used on these parameters making use of the software RapidMiner. Finally, the results obtained from the data mining will be compared with the real classification of the flows that can be obtained from the database. A Confusion Matrix will be used for the comparison, letting us measure the veracity of the developed classification process.