These Event processing systems are much used in wide variety of applications in the processing of large stream of events. The most distinguished of applications is the time-series data management system with timely processing to identify trends, pattern matches and forecast future values.The complexity of event information, coupled with the fact that historical event data is being kept in the database, requires the use of an event processing model that provides the user with high-level abstractions. In this paper, I survey the StreamEPS to help developers and researchers alike to understand the conceptual view and processing of the event processing software system. StreamEPS forms part of Complex EventProcessing (CEP), Data Stream Management System (DSMS) and Information Flow Processing (IFP) domain.