Title :
Fine-Grained Scalable Video Caching
Author :
Qiushi Gong;John W. Woods;Koushik Kar;Jacob Chakareski
Author_Institution :
Dept. of ECSE, Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Caching has been shown to enhance network performance. In this paper, we study fine-grain scalable video caching. We start from a single cache scenario by providing a solution to the caching allocation problem that optimizes the average expected video quality for the most popular video clips. Actual trace data is applied to verify the performance of our algorithm and compare its backhaul link bandwidth consumption relative to non-scalable video caching. In addition, we extend our analysis to collaborative caching and integrate network coding for further transmission efficiency. Our experimental results demonstrate considerable performance enhancement.
Keywords :
"Streaming media","Bandwidth","Servers","Network coding","Optimization","Resource management","Encoding"
Conference_Titel :
Multimedia (ISM), 2015 IEEE International Symposium on
DOI :
10.1109/ISM.2015.81