On Maximizing the Value of Cache Contents in ICN

Information-Centric Networks (ICN) are aiming to shift the current host-oriented Internet model towards a content-centric one, by focusing on highly scalable and efficient content distribution and retrieval. Content caching is a fundamental building block in ICN, optimized to enable fast, reliable, and scalable content distribution and delivery. In this paper, we propose a novel utility value-based caching scheme, named Max- Utility for maximizing the aggregated utility- value of an ICN cache service provider. This novel approach considers attributes of both the content, and its producer, to determine the aggregated value, and builds on a dynamic caching algorithm that aims to maximize the aggregated utility value to guide cache placement and replacement decisions. Simulation results demonstrate that, Max-Utility outperforms current state-of-the art caching schemes by providing better caching utility while significantly eliminating caching redundancy and incurring less access delay to retrieve good quality contents across varying cache sizes and popularity skewness values.