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Server technology provides a means to support a wide range of online services and applications. However, their ad-hoc configuration poses significant challenges to the performance, availability and economical costs of applications. In this paper, the authors examine the impact of server configuration on the central tradeoff between service performance and availability. First, they present a server model as a nonlinear continuous-time model using fluid approximations. Second, they develop concurrency control on server systems for an optimal configuration.
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