- Same authors
-
Related articles
- Recommend this article
- Download citation
- Alert me when this article is cited
- Alert me when this article is corrected
|
Theoret. Informatics Appl. 39, 587-618 (2005)
DOI: 10.1051/ita:2005030
Bisimulation on speed: Lower time bounds
Gerald Lüttgen1 and Walter Vogler21 Department of Computer Science, The University of York, York YO10 5DD, UK; gerald.luettgen@cs.york.ac.uk
2 Institut für Informatik, Universität Augsburg, 86135 Augsburg, Germany; walter.vogler@informatik.uni-augsburg.de
Abstract
More than a decade ago, Moller and Tofts published their seminal
work on relating processes, which are annotated with lower time
bounds, with respect to speed. Their paper has left open many
questions regarding the semantic theory for the suggested
bisimulation-based faster-than preorder, the MT-preorder, which
have not been addressed since. The encountered difficulties concern
a general compositionality result, a complete axiom system for
finite processes, a convincing intuitive justification of the
MT-preorder, and the abstraction from internal computation.
This article solves these difficulties by developing and employing a
novel commutation lemma relating the sequencing of action and clock
transitions in discrete-time process algebra. Most importantly, it
is proved that the MT-preorder is fully-abstract with respect to a
natural amortized preorder that uses a simple bookkeeping mechanism
for deciding whether one process is faster than another. Together
these results reveal the intuitive roots of the MT-preorder as a
faster-than relation, while testifying to its semantic elegance.
This lifts some of the barriers that have so far hampered progress
in semantic theories for comparing the speed of processes.
Mathematics Subject Classification. 68Q85
Key words: Asynchronous systems -- timed process algebra -- lower time bounds -- faster-than relation -- Moller-Tofts preorder -- bisimulation.
© EDP Sciences 2005
| What is OpenURL? |



Document
BibSonomy
CiteUlike
Connotea
Del.icio.us
Digg
Facebook