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» The Complexity of Quantitative Information Flow Problems
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ESCIENCE
2007
IEEE
13 years 10 months ago
Formal Modeling and Analysis of Scientific Workflows Using Hierarchical State Machines
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
Ping Yang, Zijiang Yang, Shiyong Lu
ASPLOS
2008
ACM
13 years 8 months ago
Understanding and visualizing full systems with data flow tomography
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
Shashidhar Mysore, Bita Mazloom, Banit Agrawal, Ti...
RV
2010
Springer
177views Hardware» more  RV 2010»
13 years 5 months ago
Runtime Instrumentation for Precise Flow-Sensitive Type Analysis
We describe a combination of runtime information and static analysis for checking properties of complex and configurable systems. The basic idea of our approach is to 1) let the p...
Etienne Kneuss, Philippe Suter, Viktor Kuncak
ICIP
2010
IEEE
13 years 4 months ago
Randomized motion estimation
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast mo...
Sylvain Boltz, Frank Nielsen
BMCBI
2006
205views more  BMCBI 2006»
13 years 6 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch