NDLI: Towards hybrid online on-demand querying of realtime data with stateful complex event processing

Content Provider	IEEE Xplore Digital Library
Author	Qunzhi Zhou Simmhan, Y. Prasanna, V.
Copyright Year	2013
Description	Author affiliation: Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA (Simmhan, Y.; Prasanna, V.) \|\| Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA (Qunzhi Zhou)
Abstract	Emerging Big Data applications in areas like ecommerce and energy industry require both online and on-demand queries to be performed over vast and fast data arriving as streams. These present novel challenges to Big Data management systems. Complex Event Processing (CEP) is recognized as a high performance online query scheme which in particular deals with the velocity aspect of the 3-V's of Big Data. However, traditional CEP systems do not consider data variety and lack the capability to embed ad hoc queries over the volume of data streams. In this paper, we propose H2O, a stateful complex event processing framework, to support hybrid online and on-demand queries over realtime data. We propose a semantically enriched event and query model to address data variety. A formal query algebra is developed to precisely capture the stateful and containment semantics of online and on-demand queries. We describe techniques to achieve the interactive query processing over realtime data featured by efficient online querying, dynamic stream data persistence and on-demand access. The system architecture is presented and the current implementation status reported.
Sponsorship	IEEE Comput. Soc.
Starting Page	199
Ending Page	205
File Size	1229282
Page Count	7
File Format	PDF
ISBN	9781479912933
DOI	10.1109/BigData.2013.6691575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic web Algebra Data handling Query processing Semantics Complex event processing Stream processing Data models Inmemory database Big data Information management Data storage systems
Content Type	Text
Resource Type	Article

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