Distributed processes

Studying Dynamic behavior of Distributed Parameter Processes Behavior Based on Dominant Gain Concept and it’s Use in Controlling these Processes

In this paper, distributed parameter process systems behavior is studied in frequency domain. Based on the dominant gain concept that is developed for such studies, a method is presented to control distributed parameter process systems. By using dominant gain concept, the location of open loop zeros, resulted from the time delay parameter in the process model, were changed from the right half p...

Deriving distributed processes from concurrent processes

In this paper we present a notion of reenement for process algebras motivated by converting an abstract speciication into a concrete implementation. We start with CCS speciications and convert them to speciications with asynchronous message passing. A derived speciication describes an implementation on distributed memory systems. That is individual actions in a CCS process are transformed into ...

Distributed Gaussian Processes

To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression. Unlike state-of-theart sparse GP approximations, the rBCM is conceptually simple and does not rely on inducing or variational parameters. The key idea is to recursively distribute computations...

Processes + Transactions = Distributed Applications

studying dynamic behavior of distributed parameter processes behavior based on dominant gain concept and it’s use in controlling these processes

in this paper, distributed parameter process systems behavior is studied in frequency domain. based on the dominant gain concept that is developed for such studies, a method is presented to control distributed parameter process systems. by using dominant gain concept, the location of open loop zeros, resulted from the time delay parameter in the process model, were changed from the right half p...