Simulation and data analysis of peer-to-peer traffic for live video streaming

Evaluating and testing changes or configurations to peer-to-peer systems or even understanding their behaviour can be complicated. One approach is to simulate a large peer-to-peer system and visualise the results. In this master's thesis a study is performed to understand how an actual implementation of a hybrid peer-to-peer live video streaming system behaves and performs under different scenarios. The behaviour and performance of a hybrid live video streaming system consisting of an unstructured mesh-pull-based P2P network and a classic content delivery network solution is studied by simulating the system with different scenarios such as flash crowds and flash disconnects. The simulation system includes a network model taking latency and bandwidth into consideration. As expected the mesh-based system performed well under user churn. Although the system consisted of approximately 80% free-riders the utilisation of the content distribution network was reduced by 95% on average. The data analysis was successful in improving the system's overall performance. Furthermore, the visualisations and data analysis were used to understand the system's behaviour

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

Network Architectures for Live Peer-to-Peer Media Streaming

Peer-to-Peer (P2P) media streaming networks, motivated by the huge success of P2P file downloading networks, have recently attracted a lot of research interest. However, it is challenging to design P2P media streaming networks because of the stringent time constraints on the delivered media streams, which require more efficient and resilient overlay architectures. In this paper, we focus on live P2P media streaming networks, a promising application flourishing in the Internet and which requires the distribution of live (not stored) multimedia content to subscribers. We review the architectures for live P2P media streaming networks, and consider both overlay topologies and their construction

Practical service placement approach for microservices architecture

Community networks (CNs) have gained momentum in the last few years with the increasing number of spontaneously deployed WiFi hotspots and home networks. These networks, owned and managed by volunteers, offer various services to their members and to the public. To reduce the complexity of service deployment, community micro-clouds have recently emerged as a promising enabler for the delivery of cloud services to community users. By putting services closer to consumers, micro-clouds pursue not only a better service performance, but also a low entry barrier for the deployment of mainstream Internet services within the CN. Unfortunately, the provisioning of the services is not so simple. Due to the large and irregular topology, high software and hardware diversity of CNs, it requires of aPeer ReviewedPostprint (author's final draft