Continuous Bytecode Instruction Counting for CPU Consumption Estimation

  • Authors:

  • Andrea Camesi;Jarle Hulaas;Walter Binder

  • Affiliations:

  • Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland;Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland;Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

  • Venue:
  • QEST '06 Proceedings of the 3rd international conference on the Quantitative Evaluation of Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

As an execution platform, the Java Virtual Machine (JVM) provides many benefits in terms of portability and security. However, this advantage turns into an obstacle when it comes to determining the computing resources (CPU, memory) a program will require to run properly in a given environment. In this paper, we build on the Java Resource Accounting Framework, Second Edition (J-RAF2), to investigate the use of bytecode instruction counting (BIC) as an estimation of real CPU consumption. We show that for all of the tested platforms there is a stable, application-specific ratio of bytecodes per unit of CPU time - the experimental bytecode rate (BRexp) - that can be used as a basis for translating a BIC value into the corresponding CPU consumption.