Abstract
Data management policies for a distributed system that handles "big data" usually require a core feature set provided by a rule framework. In this paper, we describe a viable core feature set, partially extending the event-condition-action framework, based on our experience in developing and applying the integrated Rule-Oriented Data-management System [1,2,3]. We attempt to formalize some aspects of this feature set, focusing on location-aware and asynchronous execution of rules, based on the Calculus of Concurrent Systems [4]. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Xu, H., Rajasekar, A., Moore, R. W., & Wan, M. (2013). Distributed ECA rules for data management policies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8035, pp. 203–217). Springer Verlag. https://doi.org/10.1007/978-3-642-39617-5_19
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