Rain: A Workload Generation Toolkit for Cloud Computing Applications
Source: University of California
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. This paper presents Rain, a workload generation toolkit designed to address this lack of flexibility.