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For a provider of a Content Delivery Network (CDN), the location selection ofmirror servers is a complex optimization problem. Generally, the objective isto place the nodes centralized such that all customers have convenient accessto the service according to their demands. It is an instance of the k-centerproblem, which is proven to be NP-hard. Determining reasonable server locationsdirectly influences run time effects and future service costs. We model,simulate, and optimize the properties of a content delivery network.Specifically, considering the server locations in a network infrastructure withprioritized customers and weighted connections. A simulation model for theservers is necessary to analyze the caching behavior in accordance to thetargeted customer requests. We analyze the problem and compare differentoptimization strategies. For our simulation, we employ various realisticscenarios and evaluate several performance indicators. Our new optimizationapproach shows a significant improvement. The presented results are generallyapplicable to other domains with k-center problems, e.g., the placement ofmilitary bases, the planning and placement of facility locations, or datamining.

Modeling the Location Selection of Mirror Servers in Content Delivery Networks