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dc.contributor.authorRay, M.
dc.contributor.authorRundensteiner, E. A.
dc.contributor.authorLiu, M.
dc.contributor.authorGupta, C.
dc.contributor.authorWang, S.
dc.contributor.authorArı, İsmail
dc.date.accessioned2016-06-30T12:33:35Z
dc.date.available2016-06-30T12:33:35Z
dc.date.issued2013
dc.identifier.isbn978-1-4503-1597-5
dc.identifier.urihttp://hdl.handle.net/10679/4236
dc.identifier.urihttp://dl.acm.org/citation.cfm?id=2452437
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 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. While 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 the (NEsted Event Language) NEEL. However the iterative execution often results in the repeated recomputation of similar or even identical 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. The first is the Continuous Sliding Caching technique. The second is a further optimization of the previous technique which we call 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.language.isoengen_US
dc.publisherACM
dc.relation.ispartofACM International Conference Proceeding Series
dc.rightsrestrictedAccess
dc.titleHigh-performance complex event processing using continuous sliding viewsen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-6159-0484 & YÖK ID 43541) Arı, İsmail
dc.contributor.ozuauthorArı, İsmail
dc.identifier.startpage525
dc.identifier.endpage536
dc.identifier.doi10.1145/2452376.2452437
dc.identifier.scopusSCOPUS:2-s2.0-84876807890
dc.contributor.authorMale1


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