Service adaptation recommender in the event marketplace: Conceptual view

Verginadis, Y; Patiniotakis, I; Papageorgiou, N; Stuehmer, R

dc.contributor.author	Verginadis, Y	en
dc.contributor.author	Patiniotakis, I	en
dc.contributor.author	Papageorgiou, N	en
dc.contributor.author	Stuehmer, R	en
dc.date.accessioned	2014-03-01T02:54:00Z
dc.date.available	2014-03-01T02:54:00Z
dc.date.issued	2012	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36535
dc.subject	Distributed Systems	en
dc.subject	Event Marketplace	en
dc.subject	Service Adaptation	en
dc.subject.other	Conceptual architecture	en
dc.subject.other	Conceptual views	en
dc.subject.other	Distributed sources	en
dc.subject.other	Distributed systems	en
dc.subject.other	Event Marketplace	en
dc.subject.other	Heterogeneous environments	en
dc.subject.other	Service adaptation	en
dc.subject.other	Artificial intelligence	en
dc.title	Service adaptation recommender in the event marketplace: Conceptual view	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-25953-1_16	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-25953-1_16	en
heal.publicationDate	2012	en
heal.abstract	In this paper, we present the conceptual architecture of a highly scalable federated platform for processing vast number of events coming from distributed sources, in order to detect interesting situations that lead to service adaptation recommendations. The approach presents an Event Marketplace, a platform for mediating between event providers and (complex) event consumers in very large and heterogeneous environments which is enriched with timely reaction capabilities, through situational-driven service adaptations. We focus on an approach for detecting real-time interesting situations that lead to service adaptations. © 2012 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-25953-1_16	en
dc.identifier.volume	7117 LNCS	en
dc.identifier.spage	194	en
dc.identifier.epage	201	en