Date of Award
Master of Science
Department of Electrical and Computer Engineering
Kenneth M. Hopkinson, PhD.
This thesis researches cloud computing workload characteristics and synthetic workload generation. A heuristic presented in the work guides the process of workload trace characterization and synthetic workload generation. Analysis of a cloud trace provides insight into client request behaviors and statistical parameters. A versatile workload generation tool creates client connections, controls request rates, defines number of jobs, produces tasks within each job, and manages task durations. The test system consists of multiple clients creating workloads and a server receiving request, all contained within a virtual machine environment. Statistical analysis verifies the synthetic workload experimental results are consistent with real workload behaviors and characteristics.
DTIC Accession Number
Capra, Salvatore, "Cloud Computing Trace Characterization and Synthetic Workload Generation" (2013). Theses and Dissertations. 858.