This course is about "DISTRIBUTED algorithms".DISTRIBUTED algorithms include a wide range of parallel algorithms,which can be classified by a variety of attributes.
dysii is a C++ library for DISTRIBUTED probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
This is brief doccumentation done on the clock syncronasation in DISTRIBUTED systems.ths includes algorithem for physical and logical clocks and mutual exclusion.
.NET Remoting is very important in DISTRIBUTED environments. This book essentially deals with the core concepts of .NET remoting along with some working examples. A must read.
