Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2013
Tezin Dili: İngilizce
Öğrenci: Yiğit Özcan
Danışman: ŞENAN ECE SCHMİDT
Özet:HTTP Adaptive Streaming (HAS) has become a popular video streaming solution since it both benefits from the ubiquitous HTTP protocol and firewall and NAT traversal capabilities of TCP. HAS aims to provide high Quality of Experience (QoE) to the clients under limited and varying bandwidth by rate adaptation algorithms which allow the clients to choose the most appropriate video quality. A rate adaptation algorithm should utilize the available bandwidth. Furthermore, the received video bitrates should not deviate from each other leading to an unfair bandwidth use among the clients. It is also desired to minimize the rate switches as they degrade QoE of the clients. In this thesis, we propose two architectures that operate on HAS. The first architecture is FEedback based Adaptive STreaming over HTTP (FEAST). FEAST enables the clients to adapt their rates according to the total number of clients, average video rate and the average bandwidth information provided by the server. These values are computed as moving averages by the server with a small amount of information sent from the clients. The server side computation is simple and not client specific which makes FEAST a scalable solution. The second architecture is Adaptive LIVE Streaming over HTTP (ALIVE) which enables a high number of clients to watch live TV channels over HTTP. ALIVE is based on enabling the clients to download the contents from nearby clients instead of the server whenever it is possible. ALIVE employs SVC which makes it possible to adapt the video bitrates of the clients even when they download from other clients. ALIVE decreases the load of the server and accommodates more clients as we demonstrate with simulations.