SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Object orientation & three phase simulation
WSC '92 Proceedings of the 24th conference on Winter simulation
Ubiquitous computing (abstract)
CSC '94 Proceedings of the 22nd annual ACM computer science conference on Scaling up : meeting the challenge of complexity in real-world computing applications: meeting the challenge of complexity in real-world computing applications
Load-balancing heuristics and process behavior
SIGMETRICS '86/PERFORMANCE '86 Proceedings of the 1986 ACM SIGMETRICS joint international conference on Computer performance modelling, measurement and evaluation
The implementation of four conceptual frameworks for simulation modeling in high-level languages
WSC '88 Proceedings of the 20th conference on Winter simulation
Hierarchical geometric models for visible surface algorithms
Communications of the ACM
A subdivision algorithm for computer display of curved surfaces.
A subdivision algorithm for computer display of curved surfaces.
A concise introduction to autonomic computing
Advanced Engineering Informatics
Topological computation of activity regions
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
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The common view on modeling and simulation of dynamic systems is to focus on the specification of the state of the system and its transition function. Although some interesting challenges remain to efficiently and elegantly support this view, we consider in this paper that this problem is solved. Instead, we propose here to focus on a new point of view on dynamic system specifications: the activity exhibited by their discrete event simulation. We believe that such a viewpoint introduces a new way for analyzing, modeling and simulating systems. We first start with the definition of the key notion of activity for the specification of a specific class of dynamic system, namely discrete event systems. Then, we refine this notion to characterize activity regions in time, in space, in states and in hierarchical component-based models. Examples are given to illustrate and stress the importance of this notion.