Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads
Source: Stanford University
Large-scale TPC workloads are critical for the evaluation of datacenter-scale storage systems. However, these workloads have not been previously characterized, in-depth, and modeled in a DC environment. In this paper, the authors categorize the TPC workloads into storage threads that have unique features and characterize the storage activity of TPCC, TPCE and TPCH based on I/O traces from real server installations. They also propose a framework for modeling and generation of large-scale TPC workloads, which allows them to conduct a wide spectrum of storage experiments without requiring knowledge on the structure of the application or the overhead of fully deploying it in different storage configurations.