Dr Frank Appiah

Streameps Dr Frank Appiah

This book is about an open source event stream processing system or platform that provides an engine for processing segment-oriented, temporal-oriented, state-oriented and spatial-oriented event stream. It provides support to other processing systems via processing element adapter, PE. It supports distributed, scalable, partially fault-tolerant properties and allow developers to easily develop applications for processing continuous unbounded streams of data. This event processing project is modeled on an eventprocessing model, which has a core base supporting some common features in event processing engines. The platform currently supports the following processing pipelines that is provided by the engine. These processing include the evaluation of event assertion functions; the basic operators, logic operators, modal operators and trend assertions: - increasing, decreasing, non-increasing, non- decreasing and mixed trends; pattern match detects; event filtering: - comparison filter, range filter and in-not value set filter. Every basic event atom show minimally implement or extend the EventObject.