Identifying the linkability between Web servers for enhanced Internet computing

There are some methods to track general users' behavior on the Internet, however they are private to companies and are not meant for identifying referral flows through public Web servers, especially when these flows span multiple hops. We present a public method for such tracking, with the end goal of studying the interactions among Web servers. The outcome of this study could lead to building partnerships among Web servers, and used for deciding on the particular services to be offered by cloud servers. For proof of concept, we implemented a prototype in Java, and used a message broker to provide interserver communication. Experimental results were used to build graphs that illustrated the referrals among the servers.