Scalable Peer-to-Peer Streaming for Live Entertainment Content

We present a system for streaming live entertainment content over the Internet originating from a single source to a scalable number of consumers without resorting to centralized or provider-provisioned resources. The system creates a peer-to-peer overlay network, which attempts to optimize use of existing capacity to ensure quality of service, delivering low startup delay and lag in playout of the live content. There are three main aspects of our solution: first, a swarming mechanism that constructs an overlay topology for minimizing propagation delays from the source to end consumers; second, a distributed overlay anycast system that uses a location-based search algorithm for peers to quickly find the closest peers in a given stream; and finally, a novel incentive mechanism that encourages peers to donate capacity even when the user is not actively consuming content

Robustness of BitTorrent-like VoD protocols

Besides server supported solutions for Video-on-demand, approaches based on distributed systems such as BitTorrent are being used due to their efficiency and high scalability. There are several protocol variants proposed in the literature, which are mainly concerned with providing mechanisms for piece selection and peer selection. In this paper, using the concept of Design Space Analysis, we give comparisons of the performances of several BitTorrent-like Video-on-demand protocols under the assumption that other protocol variants may also enter the system

Video-on-Demand over Internet: a survey of existing systems and solutions

Video-on-Demand is a service where movies are delivered to distributed users with low delay and free interactivity. The traditional client/server architecture experiences scalability issues to provide video streaming services, so there have been many proposals of systems, mostly based on a peer-to-peer or on a hybrid server/peer-to-peer solution, to solve this issue. This work presents a survey of the currently existing or proposed systems and solutions, based upon a subset of representative systems, and defines selection criteria allowing to classify these systems. These criteria are based on common questions such as, for example, is it video-on-demand or live streaming, is the architecture based on content delivery network, peer-to-peer or both, is the delivery overlay tree-based or mesh-based, is the system push-based or pull-based, single-stream or multi-streams, does it use data coding, and how do the clients choose their peers. Representative systems are briefly described to give a summarized overview of the proposed solutions, and four ones are analyzed in details. Finally, it is attempted to evaluate the most promising solutions for future experiments. Résumé La vidéo à la demande est un service où des films sont fournis à distance aux utilisateurs avec u

Content distribution in vanets using network coding: The effect of disk i/o and processing o/h

Abstract—Besides safe navigation (e.g., warning of approaching vehicles), car to car communications will enable a host of new applications, ranging from office-on-the-wheel support to entertainment. One of the most promising applications is content distribution among drivers such as multi-media files and software updates. Content distribution in vehicular networks is a challenge due to network dynamics and high mobility, yet network coding was shown to efficiently handle such dynamics and to considerably enhance performance. This paper provides an in-depth analysis of implementation issues of network coding in vehicular networks. To this end, we consider general resource constraints (e.g., CPU, disk, memory) besides bandwidth, that are likely to impact the encoding and storage management operations required by network coding. We develop an abstract model of the network coding procedures and implement it in the wireless network simulator to evaluate the impact of limited resources. We then propose schemes that considerably improve the use of such resources. Our model and extensive simulation results show that network coding parameters must be carefully configured by taking resource constraints into account. I

Sarp Net: A Secure, Anonymous, Reputation-Based, Peer-To-Peer Network

Since the advent of Napster, the idea of peer-to-peer (P2P) architectures being applied to file-sharing applications has become popular, spawning other P2P networks like Gnutella, Morpheus, Kazaa, and BitTorrent. This growth in P2P development has nearly eradicated the idea of the traditional client-server structure in the file-sharing model, now placing emphasizes on faster query processing, deeper levels of decentralism, and methods to protect against copyright law violation. SARP Net is a secure, anonymous, decentralized, P2P overlay network that is designed to protect the activity of its users in its own file-sharing community. It is secure in the fact that public-key encryption is used to guard eavesdroppers during messages. The protocol guarantees user anonymity by incorporating message hopping from node to node to prevent any network observer from pinpointing the origin of any file query or shared-file source. To further enhance the system\u27s security, a reputation scheme is incorporated to police nodes from malicious activity, maintain the overlay\u27s topology, and enforce rules to protect node identity

A Framework For Efficient Data Distribution In Peer-to-peer Networks.

Peer to Peer (P2P) models are based on user altruism, wherein a user shares its content with other users in the pool and it also has an interest in the content of the other nodes. Most P2P systems in their current form are not fair in terms of the content served by a peer and the service obtained from swarm. Most systems suffer from free rider\u27s problem where many high uplink capacity peers contribute much more than they should while many others get a free ride for downloading the content. This leaves high capacity nodes with very little or no motivation to contribute. Many times such resourceful nodes exit the swarm or don\u27t even participate. The whole scenario is unfavorable and disappointing for P2P networks in general, where participation is a must and a very important feature. As the number of users increases in the swarm, the swarm becomes robust and scalable. Other important issues in the present day P2P system are below optimal Quality of Service (QoS) in terms of download time, end-to-end latency and jitter rate, uplink utilization, excessive cross ISP traffic, security and cheating threats etc. These current day problems in P2P networks serve as a motivation for present work. To this end, we present an efficient data distribution framework in Peer-to-Peer (P2P) networks for media streaming and file sharing domain. The experiments with our model, an alliance based peering scheme for media streaming, show that such a scheme distributes data to the swarm members in a near-optimal way. Alliances are small groups of nodes that share data and other vital information for symbiotic association. We show that alliance formation is a loosely coupled and an effective way to organize the peers and our model maps to a small world network, which form efficient overlay structures and are robust to network perturbations such as churn. We present a comparative simulation based study of our model with CoolStreaming/DONet (a popular model) and present a quantitative performance evaluation. Simulation results show that our model scales well under varying workloads and conditions, delivers near optimal levels of QoS, reduces cross ISP traffic considerably and for most cases, performs at par or even better than Cool-Streaming/DONet. In the next phase of our work, we focussed on BitTorrent P2P model as it the most widely used file sharing protocol. Many studies in academia and industry have shown that though BitTorrent scales very well but is far from optimal in terms of fairness to end users, download time and uplink utilization. Furthermore, random peering and data distribution in such model lead to suboptimal performance. Lately, new breed of BitTorrent clients like BitTyrant have shown successful strategic attacks against BitTorrent. Strategic peers configure the BitTorrent client software such that for very less or no contribution, they can obtain good download speeds. Such strategic nodes exploit the altruism in the swarm and consume resources at the expense of other honest nodes and create an unfair swarm. More unfairness is generated in the swarm with the presence of heterogeneous bandwidth nodes. We investigate and propose a new token-based anti-strategic policy that could be used in BitTorrent to minimize the free-riding by strategic clients. We also proposed other policies against strategic attacks that include using a smart tracker that denies the request of strategic clients for peer listmultiple times, and black listing the non-behaving nodes that do not follow the protocol policies. These policies help to stop the strategic behavior of peers to a large extent and improve overall system performance. We also quantify and validate the benefits of using bandwidth peer matching policy. Our simulations results show that with the above proposed changes, uplink utilization and mean download time in BitTorrent network improves considerably. It leaves strategic clients with little or no incentive to behave greedily. This reduces free riding and creates fairer swarm with very little computational overhead. Finally, we show that our model is self healing model where user behavior changes from selfish to altruistic in the presence of the aforementioned policies

Experimental analysis of the socio-economic phenomena in the BitTorrent ecosystem

BitTorrent is the most successful Peer-to-Peer (P2P) application and is responsible for a major portion of Internet traffic. It has been largely studied using simulations, models and real measurements. Although simulations and modelling are easier to perform, they typically simplify analysed problems and in case of BitTorrent they are likely to miss some of the effects which occur in real swarms. Thus, in this thesis we rely on real measurements. In the first part of the thesis we present the summary of measurement techniques used so far and we use it as a base to design our tools that allow us to perform different types of analysis at different resolution level. Using these tools we collect several large-scale datasets to study different aspects of BitTorrent with a special focus on socio-economic aspects. Using our datasets, we first investigate the topology of real BitTorrent swarms and how the traffic is actually exchanged among peers. Our analysis shows that the resilience of BitTorrent swarms is lower than corresponding random graphs. We also observe that ISP policies, locality-aware clients and network events (e.g., network congestion) lead to locality-biased composition of neighbourhood in the swarms. This means that the peer contains more neighbours from local provider than expected from purely random neighbours selection process. Those results are of interest to the companies which use BitTorrent for daily operations as well as for ISPs which carry BitTorrent traffic. In the next part of the thesis we look at the BitTorrent from the perspective of the content and content publishers in a major BitTorrent portals. We focus on the factors that seem to drive the popularity of the BitTorrent and, as a result, could affect its associated traffic in the Internet. We show that a small fraction of publishers (around 100 users) is responsible for more than two-thirds of the published content. Those publishers can be divided into two groups: (i) profit driven and (ii)fake publishers. The former group leverages the published copyrighted content (typically very popular) on BitTorrent portals to attract content consumers to their web sites for financial gain. Removing this group may have a significant impact on the popularity of BitTorrent portals and, as a result, may affect a big portion of the Internet traffic associated to BitTorrent. The latter group is responsible for fake content, which is mostly linked to malicious activity and creates a serious threat for the Bit- Torrent ecosystem and for the Internet in general. To mitigate this threat, in the last part of the thesis we present a new tool named TorrentGuard for the early detection of fake content that could help to significantly reduce the number of computer infections and scams suffered by BitTorrent users. This tool is available through web portal and as a plugin to Vuze, a popular BitTorrent client. Finally, we present MYPROBE, the web portal that allows to query our database and to gather different pieces of information regarding BitTorrent content publishers. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------BitTorrent es la aplicación peer-to-peer para compartición de ficheros de mayor éxito y responsable de una fracción importante del tráfico de Internet. Trabajos previos han estudiado BitTorrent usando técnicas de simulación, modelos analíticos y medidas reales. Aunque las técnicas analíticas y de simulación son más sencillas de aplicar, típicamente presentan versiones simplificadas de los problemas analizados y en el caso concreto de BitTorrent pueden obviar aspectos o interacciones fundamentales que ocurren en los enjambres de BitTorrent. Por lo tanto, en esta tesis utilizaremos como pilar de nuestra investigación técnicas de medidas reales. En primer lugar presentaremos un resumen de las técnicas de medidas usadas hasta el momento en el ámbito de BitTorrent que suponen la base teórica para el diseño de nuestras propias herramientas de medida que nos permitirán analizar enjambres reales de BitTorrent. Usando los datos obtenidos con estas herramientas estudiaremos aspectos diferentes de BitTorrent con un enfoque especial de los aspectos socioeconómicos. En la primera parte de la tesis, realizaremos un estudio detallado de la topología de los enjambres reales de BitTorrent así como de detalles acerca de las interacciones entre peers. Nuestro análisis demuestra que la resistencia de la topología de los enjambres reales de BitTorrent es menor que la ofrecida por grafos aleatorios equivalentes. Además, los resultados revelan que las políticas de los Provedores de Internet junto con la incipiente utilización de clientes de BitTorrent modificados y otros efectos en la red (p.ej. congestión) hacen que los enjambres reales de BitTorrent presentan una composicin de localidad. Es decir, un nodo tiene un número de vecinos dentro de su mismo Proveedor de Internet mayor del que obtendría en una topología puramente aleatoria. Estos resultados son de interés para las empresas que utilizan BitTorrent en sus operaciones, así como para los Provedores de Internet responsables de transportar el tráfico de BitTorrent. En la segunda parte de la tesis, analizamos los aspectos de publicación de contenido en los mayores portales de BitTorrent. En concreto, los resultados presentados muestran que sólo un pequeño grupo de publicadores (alrededor de 100) es responsable de hacer disponible más de dos tercios del contenido publicado. Además estos publicadores se pueden dividir en dos grupos: (i) aquellos con incentivos económicos y (ii) publicadores de contenido falso. El primer grupo hace disponible contenido protegido por derechos de autor (que es típicamente muy popular) en los principales portales de BitTorrent con el objetivo de atraer a los consumidores de dicho contenido a sus propios sitios web y obtener un beneficio económico. La eliminación de este grupo puede tener un impacto importante en la popularidad de los principales portales de BitTorrent así como en el tráfico generado por BitTorrent en Internet. El segundo grupo es responsable de la publicación de contenidos falsos. La mayor parte de dichos contenidos están asociados a una actividad maliciosa (p.ej. la distribución de software malicioso) y por tanto suponen una seria amenaza para el ecosistema de BitTorrent, en particular, y para Internet en general. Para minimizar los efectos de la amenaza que presentan estos publicadores, en la última parte de la tesis presentaremos una nueva herramienta denominada TorrentGuard para la pronta detección de contenidos falsos. Esta herramienta puede accederse a través de un portal web y a través de un plugin del cliente de BitTorrent Vuze. Finalmente, presentamos MYPROBE, un portal web que permite consultar una base de datos con información actualizada sobre los publicadores de contenidos en BitTorrent