The goal of the DEBS Grand Challenge series is to contribute to the Event Processing Grand Challenge, that serves as a common goal and mechanism for coordinating research focusing on event processing. DEBS Grand Challenge series provides a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The goal of the DEBS Grand Challenge participants is to implement a solution to a specific problem provided by the DEBS Grand Challenge organizers. In this paper we present a description of the DEBS 2012 Grand Challenge problem focusing on the high-tech manufacturing domain. Moreover we provide a set of both: (1) real-life data and (2) queries which can be used by the DEBS 2012 Grand Challenge participants as well as research community at large.
Abstract. Expensive production equipment requires continuous monitoring to gather data in real-time, e.g., to detect problems, to assess the quality of produced parts, to collect information about the machine states, and consequently to optimize production processes. However, the increasing amount of data -from sensors or systems -and its continuous processing are a big challenge for an IT infrastructure. This paper presents a hybrid system, consisting of a distributed CEP (complex event processing) system to process data in real-time augmented with an in-memory database to extend the available memory as well as the processing capabilities of the overall system. Besides the description of the system architecture, details about the implementation of the concepts in a real production environment are given.
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