Scalable data replication in content-centric networking based on alias names

Content-Centric Networking (CCN) is a clean-slate proposal to redesign the current Internet by focusing on the content itself, instead of the classical computer-to-computer communication. In this paper we address scalability issues of the Forwarding Information Base (FIB) in CCN. Our solution proposes both the use of hierarchical names assigned by access providers and a novel alias name architecture. With the former, we allow the aggregation of entries at the routing tables of CCN content routers, while the latter reduces the processing load at those routers when replicas exist in different parts of the network. With some minor changes to the original proposal, we provide a scalable solution for data replication in CCN, which inherently supports content mobility at the same time. We validate our scheme by (1) comparing the scalability of CCN against our proposal and by (2) implementing and testing a proof-of-concept software based on CCNx, to prove the viability of this approach.This article has been partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO) by means of the project MASSES (TEC2012-35443) and by the Comunidad de Madrid E-Madrid (S2009/TIC-1650) project

Ztreamy: a middleware for publishing semantic streams on the web

In order to make the semantic sensor Web a reality, middleware for efficiently publishing semantically-annotated data streams on the Web is needed. Such middleware should be designed to allow third parties to reuse and mash-up data coming from streams. These third parties should even be able to publish their own value-added streams derived from other streams and static data. In this work we present Ztreamy, a scalable middleware platform for the distribution of semantic data streams through HTTP. The platform provides an API for both publishing and consuming streams, as well as built-in filtering services based on data semantics. A key contribution of our proposal with respect to other related systems in the state of the art is its scalability. Our experiments with Ztreamy show that a single server is able, in some configurations, to publish a real-time stream to up to 40.000 simultaneous clients with delivery delays of just a few seconds, largely outperforming other systems in the state of the art.Publicad