Statistics based energy efficient caching decisions for IPTV services

Rapid growth of video traffic and the consequent rise in the Internet infrastructure has had an impact on the global energy consumption. When a user request for a video, the total power consumed includes reading and transporting data from the data center to the end user. Video caching provides an effective solution to the problem of an increased power consumption. While video caching reduces the transportation power it increases storage power. This paper analyzes video caching mechanism using principles of stochastic process and an attempt has been made to find appropriate caching time and the effective caching size that will reduce the power consumption. Further, power consumption at different caching sizes is analyzed and compared with best possible caching size which consumes minimum power.