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...
—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...
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...
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...
Embedded cryptosystems show increased vulnerabilities to implementation attacks such as power analysis. CMOS technology trends are causing increased process variations which impac...