Information Centric Networking for Delivering Big Data with Persistent Identifiers

Information Centric Networking (ICN) is a new and promising network concept which is founded upon the idea that most users in the internet are interested in accessing digital objects, irrespectively of their locations. Digital objects in ICN have unique names that are used in order to route data content from the source node to the destination node. During the content delivery from sources to destinations, the data contents are cached to intermediate nodes in order to achieve efficient and reliable distribution of the data content among the network infrastructure (in-network caching). In this research project we focus on the efficiency of ICN for delivering Big Data with Persistent Identifiers. We proposed a Mapping Architecture for resolving PIDs to ICN names and we evaluate the efficiency of in-network caching when delivering Big Data objects. Our results showed that in-network caching can offer significant performance benefits when the cache size of the network elements that perform in-network caching is bigger than the Big Data object size.