Adequate Models for Multiprocessor Stochastic Systems

A Comparison of Memory Models for Multiprocessor Systems

Multiprocessor systems have become common in recent years, due to the increasing computing demand of applications, and the decrease of processor prices. By combining the power of several processors, execution time is decreased but problems that were not an issue in uniprocessor systems, such as mutual exclusion, data and cache consistency and program ordering are introduced. These problems make...

Models of Stochastic Systems

Fuzzy Reliability Optimization Models for Redundant Systems

In this paper, a special class of redundancy optimization problem with fuzzy random variables is presented. In this model, fuzzy random lifetimes are considered as basic parameters and the Er-expected of system lifetime is used as a major type of system performance. Then a redundancy optimization problem is formulated as a binary integer programming model. Furthermore, illustrative numerical ex...

For Multiprocessor Systems

Title of Dissertation: COMMUNICATION-DRIVEN CODESIGN FOR MULTIPROCESSOR SYSTEMS Neal Kumar Bambha, Doctor of Philosophy, 2004 Dissertation directed by: Professor Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering Several trends in technology have important implications for embedded systems of the future. One trend is the increasing density and number of transistors that c...

Stochastic Models for Pricing Weather Derivatives using Constant Risk Premium

‎Pricing weather derivatives is becoming increasingly useful‎, ‎especially in developing economies‎. ‎We describe a statistical model based approach for pricing  weather derivatives by modeling and forecasting daily average temperatures data which exhibits long-range dependence‎. ‎We pre-process the temperature data by filtering for seasonality and volatility an...