Evaluation of android dalvik virtual machine

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 115-124

  Oh, Hyeong Seok ^a   Kim, Beom Jun ^a   Choi, Hyung Kyu ^a   Moon, Soo Mook ^a  

^a Seoul National University   (South Korea)

Author keywords

Android platform; Dalvik; Interpreter; Java; Just in time compilation; Virtual machine

Indexed keywords

ANDROID PLATFORM; DALVIK; INTERPRETER; JAVA; JUST-IN-TIME COMPILATION; VIRTUAL MACHINES;

BENCHMARKING; COMPUTER SIMULATION; EMBEDDED SYSTEMS; ROBOTS;

JAVA PROGRAMMING LANGUAGE;

EID: 84870265722     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2388936.2388956     Document Type: Conference Paper

References (23)

1. D. Bornstein. Dalvik VM internals, http://sites.google.com/site/io/ dalvik-vm-internals.
2. J. Gosling, B. Joy, and G. Steele, The Java Language Specification Reading, Addison-Wesley, 1996.
3. B. Cheng, B. Buzbee. A JIT Compiler for Android's Dalvik VM. http://www.gooiile.com/events/io/201O/sessions/jit-compiler-androids-dalvik-vm. html.
4. T. Kotzmann et al., Design of the Java IlotSpot™ client compiler for Java 6. ACM Transactions on Architecture and Code Optimization (TACO), v.5 n.1, pp. 1-32, May 2008.
5. Android Open Source Project, .dex - Dalvik executable format. httn://source.android.com./tech/dalvik/dex-fomiat.html.
6. Y. Shi, K. Casey, M. A. Ertl, D. Gregg. Virtual machine showdown: Stack versus registers. ACM Transactions on Architecture and Code Optimization (TACO), v.4 n.4, pp. 1- 36, January 2008.
7. J. Aycock. A Brief History of Just-in-Time. ACM Computing Surveys, 35(2), Jun 2003.
8. M. Arnold, S.J. Fink, D. Grove, M. Hind and P.F. Sweeney. A Survey of Adaptive Optimization in Virtual Machine. IBM Research Report RC23143, May 2004.
9. Sun Microsystems. CDC Runtime Guide for the Sun Java Connected Device Configuration Application Management System version 1.0. (Page 58), .
10. A. Gal, C. W. Probst, M. Franz. HotpathVM: an effective JIT compiler for resource-constrained devices. International conference on Virtual execution environments, June 2006.
11. R. Phelan, Improving ARM code Density and performance: New Thumb extension to the ARM architecture (Thumb-2 white paper), June 2003.
12. T. R. Halfhill. ARM strengthens Java compilers: New 16-Bit Thumb-2EE Instructions Conserve System Memory. Microprocessor Report, July 2005.
13. Cortex-A8 Technical Reference Manual, revision: r3pl.
14. phoneme Advanced, http://wiki.java.net/bin/view/Mobileandembedded/ PhoneMEAdvanced.
15. Oracle, Java ME Technology - CDC, http://www.oracle.comus/technologeies/ java/cdc-137762.html.
16. Google, What is Android? http//:developer.android.com/guide/basics/what- is-android.html.
17. EEMBC GrinderBench Benchmarks. http://www.grinderbench.Com.
18. Java SE Embedded Performance Versus Android 2.2, http://blogs.oracle.com/ javaseembedd/entry/how-dose-android22sperformance-stack-up-against-Java-se- embedded.
19. V. Bala et. al, Dynamo: a transparent dynamic optimization system. ACM conference on Programming language design and implementation (PLDI), pp. 1-12, June 2000.
20. P. Wu et al, Reducing trace selection footprint for large- scale Java applications without performance loss. ACM international conference on object oriented programming systems languages and applications (OOPSLA), Oct. 2011.
21. A. Gal et al, Trace-based just-in-time type specialization for dynamic languages. ACM conference on Programming language design and implementation (PLDI), June 2009.
22. JagerMonkey project, https://wiki.moyjHa.ora/JaegerMonkev.
23. CaffineMark 3.0, http://www.benchmarkhu.ru.cm30/.