BufferAware Dynamic Adaptive Streaming over Content Centric Networks Recent developments in video streaming applications have contributed to the increase of traffic over already highly loaded networks. These advancements have brought to public attention the need to develop new methods which can help control the network traffic. As the increase in network traffic is expected to continue, it becomes obvious that the existent IPbased network infrastructure struggles to meet the traffic demand. To address this issue a novel internet architecture, Content Centric Network (CCN), has gained attention in the recent years. CCN aims to replace the hosttohost communication structure with a named based content delivery approach. In this context, there is a need to perform video delivery over CCN such as to satisfy usersxe2x80x99 expectations and a good solution includes adaptive video streaming in CCN. This paper proposes an innovative BufferAware Dynamic Adaptive Streaming solution over CCN (BADASC). The solution leverages the playbackbuffer capacity to determine the rate at which the video is delivered to ensure high user satisfaction.

A Congestion Avoidance for Adaptive Streaming over ICN Using Bitrate Feedback from InNetwork Nodes Adaptive streaming over information centric networking (ICN) has attracted attention as a solution to further improve quality of experience (QoE) of a viewer. In adaptive streaming over ICN, the throughput estimation in bitrate adaptation is often inaccurate. As a result, congestion occurs due to overestimate bitrate of streaming for the available bandwidth. The congestion causes a QoE degradation problem due to stall time for the vieweru0027s rebuffering. In this paper, we propose a congestion avoidance method for adaptive streaming over ICN using a feedback control of an upper limit of playing bitrate from the innetwork nodes. The proposed approach encourages early feedback to congestion by informing the upper limit of the playing bitrate to viewers from innetwork nodes detect congestion. The simulation experiment shows that the proposed method significantly improves QoE by preventing stall time due to congestion.