Cloud Computing Trace Characterization and Synthetic Workload Generation

Abstract

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2013
Accession Number
ADA582340

Entities

People

  • Salvatore Capra

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Cloud Computing
  • Computer Programming
  • Computers
  • Data Centers
  • Data Science
  • Information Science
  • Literature Surveys
  • Load Monitoring
  • Operating Systems
  • Pattern Recognition
  • Spiral Development
  • Statistical Analysis
  • Statistics
  • United States
  • Virtual Machines
  • Workload

Fields of Study

  • Computer science

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Database Systems and Applications