Abstract
In Content-centric Networking (CCN), data names are carried in packets without specifying IP addresses. This change leads to a new network forwarding model: CCN routers forward Interest (request) and Data packets using only their names. One major challenge is realizing intelligent forwarding of Interest packets over multiple available paths according to a Forwarding Information Base (FIB), which is currently configured manually with static routes. To address this issue, we propose a new FIB learning method by extending the current CCN prototype. With this new method, FIB entries can be automatically generated based on earlier successful data retrievals. We demonstrate that the proposed FIB learning forwarding mechanism is efficient and self-adaptive in adverse conditions such as link failure. This paper also illustrates an application example to demonstrate resilience when handling mobile nodes and effectiveness in changing network configurations.
Highlights
According to a recent prediction [1], global IP traffic will reach 966 exabytes per year by 2015
We demonstrate that the proposed Forwarding Information Base (FIB) learning forwarding mechanism is efficient and self-adaptive in adverse conditions such as link failure
Most of this traffic increase will come from peer-to-peer (P2P) communications and various forms of video traffic, such as TV and video on demand (VoD), which will account for approximately 90% of global consumer IP traffic
Summary
According to a recent prediction [1], global IP traffic will reach 966 exabytes per year by 2015. Global mobile data traffic is expected to enormously increase in the same time frame To deal with this growth in terms of data volume and devices, one solution is to deploy application layer overlays such as Content Delivery Networks (CDNs) [2] and P2P applications that cache content, provide location independent access to data, and optimize the delivery of data. This solution should provide access to named data or objects, including replicated web resources, rather than the traditional host-to-host packet delivery model. These techniques would reside in overlay networks and it is difficult to realize the full potential of content-based distribution in today’s IP-based platform
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