Semantic-enhanced distribution & adaptation networks

Recent years have witnessed significant efforts in deriving and embedding semantic information in content for improved content retrieval, adaptation, and distribution. Relatively little work considers leveraging this semantic information in the infrastructure to better serve the needs of clients and achieve better cost-effectiveness of infrastructure resources. In this paper, we identify semantics that can be derived and extracted from the various components in a content distribution infrastructure, namely content semantics (from content source), infrastructure semantics and client semantics (from content consumer). We develop a semantic-enhanced distribution and adaptation framework (SEDAN) that achieves superior efficiency and provides content access and adaptation features that were not previously possible