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CloudEVBench – Virtualization Technology Efficiency Testing Tool for the Distributed Infrastructures

초록

영어

The virtualized systems are today a very popular topic and their using plays the great role in current datacenters. The virtualization efficiency is a very important aspect in the real system deployment. Some studies have been published about this topic [1], mainly are based on various benchmarking techniques and are integrated into the specialized testing tools. Such a benchmark tool, which is able to simulate the behavior of a real computing system under the stress of different virtualization configurations, can e.g. well answer the question how many virtual machines could be simultaneously executed on it and how big the virtualization overhead is [2]. We developed and applied a new benchmark tool, which is able to measure the virtualization efficiency and overhead in the virtualization environment.

목차

Abstract
 1. Virtual Technology Efficiency Testing
  1.1. Distributed System for Virtualization
 2. Related Work Overview
  2.1. New ideas in Proposed Solution
 3. Virtualization Efficiency Modeling
  3.1. Efficiency of the Virtualization Technology (EVT)
  3.2. Overhead of the Virtualization Technology (OVT)
  3.3. Performance of the Distributed Virtualization System
  3.4. Accurate Virtualization Measurement Aspects
  3.5. System Utilization Modeling
  3.6. CloudEVBench System
 4. Measurements and Results
  4.1. CPU Virtualization Efficiency and Overhead Measurement
  4.2. Operating Memory Virtualization Efficiency Measurement
  4.3. I/O virtualization Efficiency and Overhead Measurement
  4.5. Network Virtualization Efficiency and Overhead Measurement
 5. Conclusions
 Acknowledgement
 References

저자정보

  • Jan Fesl University of South Bohemia, Faculty of Science, Institute of Applied Informatics, Branišovská 31, České Budějovice, 370 01, Czech Republic, Czech Technical University in Prague, Faculty of Electrical Engeneering, Department of Computer Science, Karlovo Náměstí 13, Prague, 121 35, Czech Republic
  • Jiří Cehák University of South Bohemia, Faculty of Science, Institute of Applied Informatics, Branišovská 31, České Budějovice, 370 01, Czech Republic
  • Marie Doležalová University of South Bohemia, Faculty of Science, Institute of Applied Informatics, Branišovská 31, České Budějovice, 370 01, Czech Republic
  • Jan Janeček Czech Technical University in Prague, Faculty of Electrical Engeneering, Department of Computer Science, Karlovo Náměstí 13, Prague, 121 35, Czech Republic

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