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BIRTHDAY
2004
Springer
13 years 10 months ago
Models for Data-Flow Sequential Processes
A family of mathematical models of nondeterministic data flow is introduced. These models are constructed out of sets of traces, successes, failures and divergences, cf. Hoare’s...
Mark B. Josephs
DATE
2010
IEEE
182views Hardware» more  DATE 2010»
13 years 10 months ago
DAGS: Distribution agnostic sequential Monte Carlo scheme for task execution time estimation
This paper addresses the problem of stochastic task execution time estimation agnostic to the process distributions. The proposed method is orthogonal to the application structure ...
Nabeel Iqbal, M. A. Siddique, Jörg Henkel
ADC
2004
Springer
109views Database» more  ADC 2004»
13 years 10 months ago
Data Flow and Validation in Workflow Modelling
A complete workflow specification requires careful integration of many different process characteristics. Decisions must be made as to the definitions of individual activities, th...
Shazia W. Sadiq, Maria E. Orlowska, Wasim Sadiq, C...
SRDS
1996
IEEE
13 years 9 months ago
Exploiting Data-Flow for Fault-Tolerance in a Wide-Area Parallel System
Wide-area parallel processing systems will soon be available to researchers to solve a range of problems. In these systems, it is certain that host failures and other faults will ...
Anh Nguyen-Tuong, Andrew S. Grimshaw, Mark Hyett
MEMOCODE
2006
IEEE
13 years 11 months ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...