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Storage for cluster applications is typically provisioned based on rough, qualitative characterizations of applications. Moreover, configurations are often selected based on rules of thumb and are usually homogeneous across a deployment; to handle increased load, the application is simply scaled out across additional machines and storage of the same type. As deployments grow larger and storage options (e.g., disks, SSDs, DRAM) diversify, however, current practices are becoming increasingly inefficient in trading off cost versus performance. To enable more cost-effective deployment of cluster applications, the authors develop scc - a storage configuration compiler for cluster applications.
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