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dc.contributor.authorRay, M.
dc.contributor.authorLui, M.
dc.contributor.authorRundensteiner, E.
dc.contributor.authorDougherty, D. J.
dc.contributor.authorGupta, C.
dc.contributor.authorWang, S.
dc.contributor.authorMehta, A.
dc.contributor.authorArı, İsmail
dc.date.accessioned2016-02-11T06:46:14Z
dc.date.available2016-02-11T06:46:14Z
dc.date.issued2011
dc.identifier.isbn978-1-4244-9195-7
dc.identifier.urihttp://hdl.handle.net/10679/1963
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5767641
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractComplex Event Processing (CEP) has become increasingly important for tracking and monitoring complex event anomalies and trends in event streams emitted from business processes such as supply chain management to online stores in e-commerce. These monitoring applications submit complex event queries to track sequences of events that match a given pattern. The state-of-the-art CEP systems mostly focus on the execution of flat sequence queries, we instead support the execution of nested CEP queries specified by our NEsted Event Language NEEL. However, the iterative execution of nested CEP expressions often results in the repeated recomputation of the same or similar results for nested subexpressions as the window slides over the event stream. In this work we thus propose to optimize NEEL execution performance by caching intermediate results. In particular we design two methods of applying selective caching of intermediate results namely Object Caching and the Interval-Driven Semantic Caching. Techniques for incrementally loading, purging and exploiting the cache content are described. Our experimental study using real-world stock trades evaluates the performance of our proposed caching strategies for different query types.
dc.description.sponsorshipHP Labs Innovation Research Program ; NSF ; TÜBİTAK
dc.language.isoengen_US
dc.publisherIEEE
dc.relationinfo:turkey/grantAgreement/TUBITAK/109E194
dc.relation.ispartofData Engineering Workshops (ICDEW), 2011 IEEE 27th International Conference on
dc.rightsrestrictedAccess
dc.titleOptimizing complex sequence pattern extraction using cachingen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID43541
dc.contributor.ozuauthorArı, İsmail
dc.identifier.startpage243
dc.identifier.endpage248
dc.identifier.doi10.1109/ICDEW.2011.5767641
dc.subject.keywordsCache storage
dc.subject.keywordsElectronic commerce
dc.subject.keywordsQuery processing
dc.subject.keywordsSupply chain management
dc.identifier.scopusSCOPUS:2-s2.0-79958041310


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