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The ACM International Conference on Distributed Event-Based Systems (DEBS) aims to provide a forum dedicated to the dissemination of original research, discussion of practical insights, and reporting of experiences relevant to event-based computing. The conference also provides a forum for academia and industry to exchange ideas, for example, through industry papers and demo papers.

The ACM DEBS Grand Challenge 2017 focuses on anomaly detection of manufacturing equipment. The goal of the challenge is to detect abnormal behavior of a manufacturing machine based on the observations of the stream of measurements provided. In this paper we present how we used WSO2 Data Analytics Server (DAS) to solve the problem describing the solution we propose, the experiments’ results and how we optimized the performance of our solution.

Malith is a Director at WSO2. He focuses on scale and performance of the overall WSO2 platform. He also leads several research projects in the areas of performance analysis, modeling and prediction and analytics. Malith has over 10 years of industry experience in designing, developing and optimizing complex software systems and holds a Doctorate in Computer Science from RMIT University, Australia. He has published and presented papers in conferences such as IEEE Cluster, IEEE NCA and DEBS and published papers in reputed journals such as IEEE Transactions on Parallel and Distributed systems (TPDS) and Journal of Parallel and Distributed Computing (JPDC). Malith co-authored the book titled on the performance of web services