2014 | OriginalPaper | Chapter
Event Processing over a Distributed JSON Store: Design and Performance
Authors : Miki Enoki, Jérôme Siméon, Hiroshi Horii, Martin Hirzel
Published in: Web Information Systems Engineering – WISE 2014
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Web applications are increasingly built to target both desktop and mobile users. As a result, modern Web development infrastructure must be able to process large numbers of events (e.g., for location-based features) and support analytics over those events, with applications ranging from banking (e.g., fraud detection) to retail (e.g., just-in-time personalized promotions). We describe a system specifically designed for those applications, allowing high-throughput event processing along with analytics. Our main contribution is the design and implementation of an in-memory JSON store that can handle both events and analytics workloads. The store relies on the JSON model in order to serve data through a common Web API. Thanks to the flexibility of the JSON model, the store can integrate data from systems of record (e.g., customer profiles) with data transmitted between the server and a large number of clients (e.g., location-based events or transactions). The proposed store is built over a distributed, transactional, in-memory object cache for performance. Our experiments show that our implementation handles high throughput and low latency without sacrificing scalability.