By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Current study results on Database Systems have been published. According to news originating from Philadelphia, Pennsylvania, by VerticalNews correspondents, research stated, "While Complex Event Processing (CEP) constitutes a considerable portion of the so-called Big Data analytics, current CEP systems can only process data having a simple structure, and are otherwise limited in their ability to efficiently support complex continuous queries on structured or semistructured information. However, XML-like streams represent a very popular form of data exchange, comprising large portions of social network and RSS feeds, financial feeds, configuration files, and similar applications requiring advanced CEP queries."
Our news journalists obtained a quote from the research from the University of Pennsylvania, "In this article, we present the XSeq language and system that support CEP on XML streams, via an extension of XPath that is both powerful and amenable to an efficient implementation. Specifically, the XSeq language extends XPath with natural operators to express sequential and Kleene-* patterns over XML streams, while remaining highly amenable to efficient execution. In fact, XSeq is designed to take full advantage of the recently proposed Visibly Pushdown Automata (VPA), where higher expressive power can be achieved without compromising the computationally attractive properties of finite state automata. Besides the efficiency and expressivity benefits, the choice of VPA as the underlying model also enables XSeq to go beyond XML streams and be easily applicable to any data with both sequential and hierarchical structures, including JSON messages, RNA sequences, and software traces. Therefore, we illustrate the XSeq's power for CEP applications through examples from different domains and provide formal results on its expressiveness and complexity. Finally, we present several optimization techniques for XSeq queries."
According to the news editors, the research concluded: "Our extensive experiments indicate that XSeq brings outstanding performance to CEP applications: two orders of magnitude improvement is obtained over the same queries executed in general-purpose XML engines."
For more information on this research see: High-Performance Complex Event Processing over Hierarchical Data. ACM Transactions on Database Systems, 2013;38(4):7-45. ACM Transactions on Database Systems can be contacted at: Assoc Computing Machinery, 2 Penn Plaza, Ste 701, New York, NY 10121-0701, USA.
The news correspondents report that additional information may be obtained from B. Mozafari, University of Pennsylvania, Dept. of Comp & Informat Sci, Philadelphia, PA 19104, United States. Additional authors for this research include K. Zeng, L. D'Antoni and C. Zaniolo.
Keywords for this news article include: Philadelphia, Pennsylvania, United States, Database Systems, North and Central America
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