A user-significance based caching strategy for edge streaming media servers

To effectively utilize storage space of edge streaming media servers, cache policies are being studied. Unlike traditional work that focused on hit ratio and overall system bandwidth cost, this paper recognize different significance of users and propose the concept of caching utility as a new metric to evaluate caching strategies. A user based caching algorithm, USCS, involving differentiated service is designed is put forward oriented to this metric. Simulation results show that this strategy can effectively improve caching utility while still keeping hit ratio in a high level.