The research and development (R&D) and the standardization of the 5th Generation (5G) mobile networking technologies are proceeding at a rapid pace all around the world. In this paper, we introduce the emerging concept of network slicing that is considered one of the most significant technology challenges for 5G mobile networking infrastructure, summarize our preliminary research efforts to enable end-to-end network slicing for 5G mobile networking, and finally discuss application use cases that should drive the designs of the infrastructure of network slicing.

This paper describes our effort to build an extensible router in support of active networks. Our work is driven by two goals: (1) supporting the injection of new functionality into a router, and (2) exploiting commercially available hardware. Our approach is a hierarchical architecture, in which packet flows traverse a range of processing/forwarding paths. This paper both presents the architecture, and describes our experiences implementing the architecture across a combination of general-purpose and network processors.

Peer-to-Peer (P2P) file sharing applications have dramatically increased in popularity for the past few years. Although a P2P file sharing network shares many files, it does not usually have a management and control mechanism for the files exchanged. Consequently, copyright infringement and malware propagation in P2P file sharing networks have become prevalent. In order to prevent these file distribution, content poisoning has attracted much attention recently. Although content poisoning aims to obfuscate users by diffusing a lot of poisoned chunks in P2P networks, its effect to the networks have not been well studied yet. In this paper, we apply content poisoning to “Share”, one of the most popular P2P file sharing applications in Japan, to control its file distribution. Our evaluation includes how effective our proposed content poisoning method to a live Share network composed of over 100,000 active peers. The evaluation result shows that our content poisoning method decreases the number of peers that complete file download to less than 5% compared to the case without our control. Our content poisoning method also reduces additional traffic required for poisoning to 4%.