Abstract
Video on Demand (VoD) services allow users to select and locally consume remotely stored content. We investigate the use of caching to solve the scalability issues of several existing VoD providers. We propose metrics and goals that define the requirements of a caching framework for CDNs of VoD systems. Using data logs collected from Motorola equipment from Comcast VoD deployments we show that several classic caching solutions do not satisfy the proposed goals. We address this issue by developing a novel technique for predicting future values of several metrics of interest. We use these predictions to evaluate the penalty imposed on the system (network and caches) when not caching individual items. We use item penalties to propose novel caching and static placement strategies. We use the mentioned data logs to validate our solutions and show that they satisfy all the defined goals.