Information-centric networking (ICN) and software defined networking (SDN) are two novel network paradigms that the networking community is actively investigating. Because of their salient features, there are increasing attempts to integrate ICN and SDN. In this paper, we show how a recently proposed future Internet architecture (called CoLoR) makes it efficient to integrate SDN and ICN. In particular, we show how CoLoR reduces the flow setup delay, the number of flow setup requests, and the number of flow entries.
In this paper, we analyze the security threats of a newly proposed future Internet architecture called CoLoR. In particular, we describe how CoLoR defends against the most prevalent attacks existing in both the current Internet and some recently proposed information-centric networks such as named data networking (NDN). We also present attacks that are specific to CoLoR and discuss how to deal with them. Through our analysis, we find that CoLoR is more secure than both the current Internet and NDN.
Telco content delivery networks (CDNs) have envisioned building highly distributed and cloudified sites to provide a high-quality CDN service in the 5G era. However, there are still two open problems to be addressed. First, telco CDNs are operated upon the underlay network evolving towards information-centric networking (ICN). Different from CDNs that perform on the application layer, ICN enables information-centric forwarding to the network layer. Thus, it is challenging to take advantage of the benefits of both ICN and CDN to provide a high-quality content delivery service in the context of ICN-based telco CDNs. Second, bandwidth pricing and request mapping issues in ICN-based telco CDNs have not been thoroughly studied. In this paper, we first propose an ICN-based telco CDN framework that integrates the information-centric forwarding enabled by ICN and the powerful edge caching enabled by telco CDNs. Then, we propose a location-dependent pricing (LDP) strategy, taking into consideration the congestion level of different sites. Furthermore, on the basis of LDP, we formulate a price-aware request mapping (PARM) problem, which can be solved by existing linear programming solvers. Finally, we conduct extensive simulations to evaluate the effectiveness of our design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.