Networking impact of a local-aware content-based delivery for twitter-like applications

Online Social Networks (OSN) have attracted a lot of end-users in the last few years. The success of Facebook, Twitter, Snapchat leads to a huge increase of data transiting in the network of telecom operators. To face to this increase, network operators have to find solutions. The Named Data Networking (NDN) paradigm, focusing on interest-based requests for content, is a good possible networking solution, having native caching features. Furthermore, it has been detected that a large number of people follow people who are in a close vicinity to them, except for very popular people. However, the current networking behaviour of the OSN applications do not take this into consideration. In this paper, we propose a locality-aware NDN-based delivery for OSNs in order to improve the quality for endusers (reduced delivery time) as well as to reduce the network load (and peering traffic) for network operators and the server load for the application provider. We modelled our solution for evaluating the networking impact and the tests we have performed proved the efficiency of our proposed solution, enabling to largely reduce the data delivery path as well as the peering traffic.