D 2017

Extended Dependency Graphs and Efficient Distributed Fixed-Point Computation

DALSGAARD, Andreas E., Søren ENEVOLDSEN, Peter FOGH, Lasse S. JENSEN, Tobias S. JEPSEN et. al.

Basic information

Original name

Extended Dependency Graphs and Efficient Distributed Fixed-Point Computation

Authors

DALSGAARD, Andreas E. (208 Denmark), Søren ENEVOLDSEN (208 Denmark), Peter FOGH (208 Denmark), Lasse S. JENSEN (208 Denmark), Tobias S. JEPSEN (208 Denmark), Isabella KAUFMANN (208 Denmark), Kim G. LARSEN (208 Denmark), Søren M. NIELSEN (208 Denmark), Mads Chr. OLESEN (208 Denmark), Samuel PASTVA (703 Slovakia, belonging to the institution) and Jiří SRBA (203 Czech Republic, guarantor, belonging to the institution)

Edition

Holandsko, Petri Nets 2017, p. 139-158, 20 pp. 2017

Publisher

Springer International Publishing

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/17:00094905

Organization unit

Faculty of Informatics

ISBN

978-3-319-57860-6

ISSN

UT WoS

000430740600010

Keywords in English

CTL model checking; Petri Nets; distributed algorithms; on-the-fly state-space search; parallelism

Tags

International impact, Reviewed
Změněno: 18/5/2018 12:14, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Equivalence and model checking problems can be encoded into computing fixed points on dependency graphs. Dependency graphs represent causal dependencies among the nodes of the graph by means of hyper-edges. We suggest to extend the model of dependency graphs with so-called negation edges in order to increase their applicability. The graphs (as well as the verification problems) suffer from the state space explosion problem. To combat this issue, we design an on-the-fly algorithm for efficiently computing fixed points on extended dependency graphs. Our algorithm supplements previous approaches with the possibility to back-propagate, in certain scenarios, the domain value 0, in addition to the standard back-propagation of the value 1. Finally, we design a distributed version of the algorithm, implement it in an open-source tool, and demonstrate the efficiency of our general approach on the benchmark of Petri net models and CTL queries from the Model Checking Contest 2016.

Links

GA15-11089S, research and development project
Name: Získávání parametrů biologických modelů pomocí techniky ověřování modelů
Investor: Czech Science Foundation