An Energy Consumption Model for an Embedded Java Virtual Machine

  • Sébastien Lafond
  • Johan Lilius
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3894)


In this paper we establish a general framework for estimating the energy consumption of an embedded Java virtual machine (JVM). We have designed a number of experiments to find the constant overhead of the Virtual Machine and establish an energy consumption cost for individual Java Opcodes. The results show that there is a basic constant overhead for every Java program, and that a subset of Java opcodes have an almost constant energy cost. We also show that memory access is a crucial energy consumption component.


Energy Consumption Memory Access Garbage Collection Loop Length Java Virtual Machine 
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  1. 1.
    Parain, F., Banatre, M., Cabillic, G., Higuera, T., Issarny, V., Lesot, J.P.: Techniques de reduction de la consommation dans les systemes embarques temps-reel. Technical report, INRIA Rennes (2000)Google Scholar
  2. 2.
    Tiwari, V., Malik, S., Wolfe, A.: Power Analysis of Embedded Software. In: International Conference on Computer-Aided Design, San Jose, CA (1994)Google Scholar
  3. 3.
    Seth, A., Ravindra, B., Keskar, R.: Algorithms for energy optimization using processor instructions. In: International conference on Compilers, architecture, and synthesis for embedded systems, Atlanta, Georgia, USA (2001)Google Scholar
  4. 4.
    Shiue, W.-T.: Retargetable Compilation for Low Power. Technical report (Silicon Metrics Corporation)Google Scholar
  5. 5.
    Lee, M.T.-C., Vivek Tiwari, S.: Power analysis and low-power scheduling. In: International Symposium on System Synthesis (1995)Google Scholar
  6. 6.
    Gebotys, C.H.: Low Energy Memory and Register Allocation Using Network Flow. In: Design Automation Conference, pp. 435–440 (1997)Google Scholar
  7. 7.
    Fan, X., Ellis, C., Lebeck, A.: Memory controller policies for DRAM power management. In: International Symposium on Low Power Electronics and Design (ISLPED) (2001)Google Scholar
  8. 8.
    Lafond, S., Lilius, J.: An energy consumption model for java vitual machine. Technical Report 597, Turku Centre for Computer Science (2004)Google Scholar
  9. 9.
    Kaushik Roy, M.C.J.: Software design for low power. In: Low Power Design in Deep Submicron Electronics, pp. 433–460 (1997)Google Scholar
  10. 10.
  11. 11.
    An introduction to thumb. Technical report, Advenced RISC Machines Ltd. (1995)Google Scholar
  12. 12.
    Steinke, S., Knauer, M., Wehmeyer, L., Marwedel, P.: An accurate fine grain instruction-level energy model supporting software optimization. In: PATMOS 2001 (2001)Google Scholar
  13. 13.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sébastien Lafond
    • 1
  • Johan Lilius
    • 2
  1. 1.Embedded Systems LaboratoryTurku Centre for Computer ScienceTurkuFinland
  2. 2.Department of Computer ScienceÅbo Akademi UniversityÅboFinland

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