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Phased learning approach to determining closest content serving sites

  • US 6,920,498 B1
  • Filed: 08/31/2000
  • Issued: 07/19/2005
  • Est. Priority Date: 08/31/2000
  • Status: Active Grant
First Claim
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1. A method for using a phased learning approach for determining closest of s multiple content serving sites to a client Domain Name System (DNS) server in a computer network in including:

  • in a setup phase;

    storing data as to the transit times of each of the content serving sites in a table;

    in an execution phase;

    determining a response time each of n fastest content serving sites and m other content serving sites, said n fastest content serving sites chosen by using said data and choosing the n content serving sites with the lowest transit times, said m other content serving sites chosen by selecting new content serving sites as well as randomly selecting old content serving sites, wherein n is less than s and greater than zero;

    sending transit time requests to each of the n fastest content serving sites and m other content serving sites, timing said transit times requests so that they arrive at each of the n fastest content serving sites and m other content serving sites at the same time by using said response time for each of the n fastest content serving sites and m other content serving sites;

    receiving data from said client DNS server as to the transit times of each of the n fastest content serving sites and m other content serving sites; and

    storing said data in said table.

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