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» Architectural modelling to understand system evolution
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86
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PADS
2006
ACM
15 years 3 months ago
Intelligent Management of Data Driven Simulations to Support Model Building
Artificial intelligence (AI) can contribute to the management of a data driven simulation system, in particular with regard to adaptive selection of data and refinement of the mo...
Catriona Kennedy, Georgios K. Theodoropoulos
84
Voted
FOCI
2007
IEEE
15 years 3 months ago
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
Byoung-Tak Zhang
DAC
2007
ACM
15 years 10 months ago
Global Critical Path: A Tool for System-Level Timing Analysis
An effective method for focusing optimization effort on the most important parts of a design is to examine those elements on the critical path. Traditionally, the critical path is...
Girish Venkataramani, Mihai Budiu, Tiberiu Chelcea...
IWSSD
1993
IEEE
15 years 1 months ago
Fine-Grain Process Modelling
In this paper, we propose the use of fine-grain process modelling as an aid to software development. We suggest the use of two levels of granularity, one at the level of the indiv...
Bashar Nuseibeh, Anthony Finkelstein, Jeff Kramer
REPLICATION
2010
14 years 8 months ago
A History of the Virtual Synchrony Replication Model
In this chapter, we discuss a widely used fault-tolerant data replication model called virtual synchrony. The model responds to two kinds of needs. First, there is the practical qu...
Ken Birman