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the-akamai-network-a-platform-for-high-performance-internet-applications-technical-publication

Map to cluster. First, a top-level map selects a preferred edge server cluster for each equivalence class of end users—
assigning each small fragment of the Internet to one of the thousands of Akamai edge server locations. This mapping typically is based on a number of factors, including information from the scoring system (including topological information such as geographic and network/AS proximity between clusters and end users, real-time loss and latency, real-time capacity and demand information, class of traffic for example, to ensure that disparate needs of latency- sensitive and large-footprint traffic are met, and real-time information about cluster health. These maps are updated roughly every minute to capture current conditions. If a connectivity problem between a cluster and a set of end users

is observed, for example, those end users will be directed to clusters that will provide them better performance. A feedback control system tracks load, capacity, and demand along multiple dimensions and ensures that the demand sent to any given cluster will not cause the load in that cluster to exceed any of its capacity targets.

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