This paper introduces a Cellular Automata (CA) approach to spatiotemporal data mining (STDM). The recently increasing interest in using Genetic Algorithms and other evolutionary te...
Cache prediction for preemptive scheduling is an open issue despite its practical importance. First analysis approaches use simplified models for cache behavior or they assume si...
Abstract. The proliferation of sensor networks in various areas of technology has enabled real-time behavioral monitoring of various physical systems in various length and time sca...
John Michopoulos, Charbel Farhat, Elias N. Houstis
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
We introduce a computationally efficient method to estimate the validity of the BP method as a function of graph topology, the connectivity strength, frustration and network size....