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mathematics of graph theory and chaotic behavior. Deciding how to reroute a media stream in response to sudden network congestion is not a trivial task and a sound and rigorous theoretical mathematical basis is required if those algorithms are going to be provably optimal. Suboptimal algorithms merely move the congestion around, choose routes that are not the least congested or shortest, or else cause congestion of their own. Content delivery networks that adopt this approach are useful for live streaming, on-demand streaming, or static Web content. The second approach to content delivery, avoiding the public Internet entirely, is to build a dedicated network, either by laying it in the ground, using satellite links, or buying dedicated capacity from existing bandwidth suppliers. This allows a content delivery company to keep all traffic other than paying customers traffic off their network. A closed, private highway is built from origin servers to edge servers. When the end-user requests content, whether live or on demand, the content delivery network can guarantee fairly good quality of service, simply because there is little else on the network to get in the way. This only works while there is sufficient bandwidth the cover the peaks in demand. If such a private network were to experience sudden extreme demand, because it was the only network carrying a particular breaking news item, for instance, the network would saturate and quality of service would be comparable to that of the public Internet. The more popular and successful this style of network, the more traffic it will have to deal with and the less likely it will be to maintain quality of service for all users. Providers like Digital Island have adopted this approach. The third variety of content delivery network can be used with enterprise WANs, dedicated content delivery networks, or the public Internet. It comprises software to detect when network activity is low or bandwidth is cheaper, and then replicates content from origin servers to edge servers. This works well for content that is updated infrequently, but is no use at all for live streaming during peak demand periods, except as a simple way to load balance, through replication to the edge. Cisco provides a software suite that can perform this kind of content delivery. For content delivery networks to deliver content to end-users, the CDN company s edge servers must be colocated with Internet access points (called POPs or Points Of Presence) provided by Internet Service Providers (ISPs). Typically, a CDN company enters into an agreement with an ISP to install an edge server into the ISP s equipment racks, to provide short and direct connection between dial-up or always-on subscribers and the CDN. The quality of the CDN is highly dependent on the number of such colocation agreements that the CDN can negotiate.
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For enterprise applications, the CDN s edge server is colocated behind the enterprise firewall, in the data center or an enterprise proxy server.
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As has already been suggested, networks with edge servers/caches/proxies bring quality of service and playback advantages for consumers of streaming media, as well as bandwidth savings for the content delivery networks (who bill the content owner, ordinarily). There are other advantages of edge caching. Round trip delay is one of the key factors which determine the crispness of the response to interactivity that requires server-side code. The fastest that a signal can make its way around the world on any network, limited by the speed of light, is about 130 milliseconds. Routing and switching delays extend this, of course. What this means is that if a consumer were trying to stream a clip from a server on the other side of the planet (antipodal to the user), it would take a minimum of a fraction of a second or so just to provide the consumer with a noticeable response at all (in fact, it would take considerably longer, since this is the minimum time it would take just to negotiate protocols before buffering could start). This might not be significant for start-up delay, when playing a stream, but it would be a noticeable lag when trying to fast forward or rewind to a specific place in the stream. In contrast, if the stream is served from an edge cache located 40 km from the user, and is already resident in that cache, it takes one thousandth of the time to respond. The other significant advantage of replicating content to a network of edge servers is that each individual edge server can accommodate about as many simultaneous users as the origin server. So edge networks allow for greater stream-serving capacity, as well as providing the ability to load balance, serving an end-user from the next closest edge server when the closest edge server saturates. Edge cache devices can be either regular servers (Dells or Compaqs or Suns, for example), with software running on them to offer the caching functionality, or else they can be dedicated, purpose-built, hardwarebased Internet appliances. CacheFlow, InfoLibria, and NetworkAppliance are among the companies that build dedicated edge devices. The tendency for CDNs to concentrate their investments at the edge of the network mirrors what the telecommunications companies (i.e., the phone companies) are doing with their networks. In order to deliver the elusive quality-of-service improvements that data customers require, they
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