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CLOUD
2010
ACM
15 years 4 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ISPASS
2008
IEEE
15 years 6 months ago
Pinpointing and Exploiting Opportunities for Enhancing Data Reuse
—The potential for improving the performance of data-intensive scientific programs by enhancing data reuse in cache is substantial because CPUs are significantly faster than me...
Gabriel Marin, John M. Mellor-Crummey
BPM
2009
Springer
143views Business» more  BPM 2009»
15 years 28 days ago
MDPE Workbench - A Solution for Performance Related Decision Support
Abstract. Continuous optimization of business process execution including its adaptation to changes within the market environment or the company itself becomes increasingly importa...
Mathias Fritzsche, Jendrik Johannes, Sebastian Cec...
TSMC
2010
14 years 6 months ago
Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications
The cellular learning automaton (CLA), which is a4 combination of cellular automaton (CA) and learning automaton5 (LA), is introduced recently. This model is superior to CA because...
Hamid Beigy, Mohammad Reza Meybodi
DAC
2009
ACM
16 years 24 days ago
Analysis and mitigation of process variation impacts on Power-Attack Tolerance
Embedded cryptosystems show increased vulnerabilities to implementation attacks such as power analysis. CMOS technology trends are causing increased process variations which impac...
Lang Lin, Wayne P. Burleson