Stochastic Optimization seeks the best decision in a scenario involving random events, those that depend on chance, whether those events are product prices, task durations, the number of people queueing at an ATM, the number of breakdowns in a fleet of trucks, or even the adoption of regulations.
So, what are the important concepts here? We will finish this introduction to CEP with a summary of the most important ideas with which complex event processing deals. Immutability of events. In CEP all the events that are used as a starting point are immutable.
In the first part of this article “Introduction to Complex Event Processing I” we saw some of the most important principles of CEP. This section will provide a detailed analysis of the core concepts upon which complex event processing is based.
When it comes to trying to apply an agile methodology to our projects, we usually ask ourselves whether it is the right decision, whether it is the right project to use this method. In this article, we shall try to offer some keys to identify whether a project is capable of taking advantage of everything this type of methodology has to offer.
This blog entry belongs to a series of articles on the Introduction to Complex Event Processing that will be posted shortly. Many computer systems are built on an order-control-reply pattern: a method calls another method and gives it an order to carry out an action or recover some type of information.