Socially-Aware Traffic Management

Abstract

Socially-aware traffic management exploits social signals to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end-user satisfaction. Several use cases can benefit from socially-aware traffic management and the performance of overlay applications can be enhanced. In the talk we show interdisciplinary efforts between communication networks and social network analysis. Specifically, we give an overview on existing use cases and solutions, but also raise discussions at the workshop on additional benefits from the integration of social information into traffic management.

Quality of experience and access network traffic management of HTTP adaptive video streaming

“…Similar to QoE-aware tra c management, SATM not only considers tra c management decisions and actions but also the monitoring of social information. The basic concept of SATM is introduced based on [1]. Afterwards, the focus is on Wi-Fi o oading as a SATM mechanism, which is not only widely considered by ISPs to reduce the load on stressed mobile access networks, but is also well suited in the home environment due to the prevalence of residential Wi-Fi networks.…”

“…Although TCP ensures the transmission of undisturbed video data, network issues (e.g., insu cient bandwidth, packet loss, delay, and jitter) can decrease the throughput of the TCP transmission. If the throughput is lower than the bit rate of the video, the application bu er 1 http://www.theguardian.com/media-network/media-network-blog/ 2013/mar/01/history-streaming-future-connected-tv decreases. When the bu er is depleted, the video playback stalls and can only be resumed after su cient data have been received.…”

“…xij = 1 to xi+1,j = 0, and another layer from 0 to 1. The factor 1 2 accounts for this double counting of each switch, and is only added here for the sake of completeness. Constraints (2.5) and (2.6) in problem 2 resemble constraints (2.2) and (2.3) in problem 1, and again ensure that one representation of each segment is downloaded and that it is downloaded before its playback deadline, respectively.…”

“…A literature review found several di erent temporal pooling methods, which are investigated in this study. The most intuitive approaches described in [244] are mean pooling (Mean, 1 T • T t=1 OM (t)) and last frames mean pooling (Mean-LastFrames, 1 F • T t=T −F OM (t)). These methods simply average the objective metrics over all frames, or the F most recent frames, respectively.…”

More than topology: Joint topology and attribute sampling and generation of social network graphs

“…Additionally, OSNs have a high impact on today's users' choice and consumption of online media. Coupled with widespread availability of mobile Internet, these phenomena give rise to the scientific field of socially aware traffic management [29]. The main idea in this discipline is to utilize social information about Internet users in order to enhance existing traffic management strategies.…”