Rain : A Workload Generation Toolkit for Cloud Computing Applications

@inproceedings{Beitch2010RainA,
  title={Rain : A Workload Generation Toolkit for Cloud Computing Applications},
  author={Aaron Beitch and Brandon Liu and T C Yung and Rean Griffith and Armando Fox and David A. Patterson},
  year={2010}
}
Existing workload generation tools are not flexible enough to generate workloads that vary in three key dimensions relevant for making resource allocation decisions for Cloud Computing applications – variations in the amount of load, variations in the mix of operations performed by clients (e.g. changes in reads vs. writes or customer usage-patterns) and variations in the popularity of the data accessed, i.e., data hotspots. In this paper we present Rain, a workload generation toolkit designed… CONTINUE READING
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