Contrace: a tool for measuring and tracing content-centric networks


Content-Centric Networks (CCNs) are fundamental evolutionary technologies that promise to form the cornerstone of the long run.Net. The information flow in these networks relies on named data requesting, in-network caching, and forwarding, that are unique and will be freelance of IP routing. Hence, common IPbased network tools such as ping and traceroute can neither trace a forwarding path in CCNs nor feasibly evaluate CCN performance. We have a tendency to propose ???contrace,??? a network tool for CCNs (particularly, CCNx implementation running on prime of IP) which will be used to research the spherical-trip time (RTT) between content forwarder and client, the states of in-network cache per name prefix, and also the forwarding path info per name prefix. We report a series of experiments conducted using contrace on a CCN topology created on a local testbed and the GEANT network topology emulated by the Mini-CCNx emulator. The results ensure that contrace isn't only a useful tool for monitoring and operating a network, however also a useful analysis tool for enhancing the look of CCNs. Additional, contrace will report the number of received interests per cache or per chunk on the forwarding routers. This enables us to estimate the content popularity and design more effective cache control mechanisms in experimental networks.

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