Supporting distributed event-condition-action rules in a multidatabase environment

Kantere, V; Kiringa, I; Mylopoulos, J

dc.contributor.author	Kantere, V	en
dc.contributor.author	Kiringa, I	en
dc.contributor.author	Mylopoulos, J	en
dc.date.accessioned	2014-03-01T01:27:21Z
dc.date.available	2014-03-01T01:27:21Z
dc.date.issued	2007	en
dc.identifier.issn	0218-8430	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18409
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-36749077096&partnerID=40&md5=2400238eeb5513c0a8429199cf5b384e	en
dc.subject	Data coordination	en
dc.subject	Distributed execution	en
dc.subject	ECA rules	en
dc.subject	Multidatabases	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.other	SYSTEMS	en
dc.title	Supporting distributed event-condition-action rules in a multidatabase environment	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	We describe a mechanism based on distributed Event-Condition-Action (ECA) rules that supports data coordination in a multidatabase setting. The proposed mechanism includes an ECA rule language and a rule execution engine that transforms rules when they are first posted, and then coordinates their execution. Like traditional ECA rules, our ECA rule language has three parts: an event language, a condition language, and an action language. The event language provides a set of operators with a formal semantics for a multidatabase environment, and which allows a wide variety of composite events. The condition language provides Boolean algebra operators that take as operands either composite or simple conditions. The action language provides a conjunction of simple or composite actions. The execution model partitions rules to more easily manageable forms, distributes them to relevant databases, monitors their execution and composes their evaluations. The mechanism has been designed in a manner that minimizes the number of messages that need to be exchanged over the network. We have also conducted an experimental evaluation to compare the implementation with a naïve centralized execution model. The paper also presents a prototype implementation as well as experimental results on its performance. This work is part of an on-going project intended to develop data coordination techniques for data sharing settings. © World Scientific Publishing Company.	en
heal.publisher	WORLD SCIENTIFIC PUBL CO PTE LTD	en
heal.journalName	International Journal of Cooperative Information Systems	en
dc.identifier.isi	ISI:000253392000007	en
dc.identifier.volume	16	en
dc.identifier.issue	3-4	en
dc.identifier.spage	467	en
dc.identifier.epage	506	en