ACM Home Page
Please provide us with feedback. Feedback
An experimental analysis environment for logical process simulation algorithms
Full text PdfPdf (136 KB)
Source International Conference On Simulation Tools And Techniques For Communications, Networks And Systems & Workshops archive
Proceedings of the 2nd International Conference on Simulation Tools and Techniques table of contents
Rome, Italy
POSTER SESSION: Posters table of contents
Article No. 40  
Year of Publication: 2009
ISBN:978-963-9799-45-5
Authors
Bing Wang  National University of Defense Technology, Changsha, P.R. China
Jan Himmelspach  Institute of Computer Science, Rostock, Germany
Roland Ewald  Institute of Computer Science, Rostock, Germany
Yiping Yao  National University of Defense Technology, Changsha, P.R. China
Adelinde M. Uhrmacher  Institute of Computer Science, Rostock, Germany
Sponsors
: Create-Net
: ICST
Publisher
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 19,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: 10.4108/ICST.SIMUTOOLS2009.5678

ABSTRACT

The notion of logical processes (LPs) is a widely used modeling paradigm in parallel and distributed discrete-event simulation (PDES). Nevertheless the comparison among different simulation algorithms for LP models still remains difficult: there are too many combinations of algorithms to be explored, often simulation systems only provide a small subset of available algorithms, and many m&s frameworks blur the boundary between model logic and simulation algorithm, which hampers extensibility and comparability. We present an environment for the experimental analysis of simulation algorithms for logical processes. It separates between model and simulator, is extensible, and facilitates a fair comparison of algorithms. We illustrate the functioning of the environment by presenting experimental results for well-known simulation algorithms and a benchmark model.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Java scimark: http://math.nist.gov/scimark2/.
 
2
 
3
R. M. Fujimoto. Performance of Time Warp under synthetic workloads. In Proc. of the SCS Multiconf. on Distributed Simulation, pages 23--28, 1990.
 
4
I. P. Gent, S. A. Grant, E. MacIntyre, P. Prosser, P. Shaw, B. M. Smith, and T. Walsh. How not to do it. Technical report, University of Leeds, May 1997.
 
5
 
6
D. Johnson. A theoretician's guide to the experimental analysis of algorithms. In Fifth and Sixth DIMACS Implentation Challenges, 2002.
7
 
8

Collaborative Colleagues:
Bing Wang: colleagues
Jan Himmelspach: colleagues
Roland Ewald: colleagues
Yiping Yao: colleagues
Adelinde M. Uhrmacher: colleagues