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We derive scaling relations for the asymptotic average size distribution, S, for a model of distributed growth. S is determined by the cumulative distribution of growth times, G(t), which is calculated by introducing a dynamic picture of the growth process. By using the behavior of the cumulative distribution of G(t), we find that S should scale as t(-d), with d=gamma/eta, where gamma is the mean time a cellular division takes and eta is the variance of G(t). The analytical derivation of S is supported by numerical simulations that show the scaling behavior for different values of gamma and eta.Unless otherwise indicated herein, the materials described in this section are not prior art to the claims in this application and are not admitted to be prior art by inclusion in this section.
As the world becomes more reliant on computer technology, including the ability to provide efficient and reliable access to information, the ability to support computer systems is an ongoing challenge. For example, a computer server generally includes a number of different devices, such as a central processing unit (CPU) for executing program instructions, memory, such as random access memory (RAM) or read-only memory (ROM), a storage device, such as hard disk drives, optical drives, or solid state drives, a power supply, and one or more other devices. As the number of components in the computer server increase and data storage has become an increasingly important component of the server, an increasing number
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