HEAL DSpace

A study for the parameters of a distributed framework that handles spatial areas

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dc.contributor.author Kantere, V en
dc.contributor.author Sellis, T en
dc.date.accessioned 2014-03-01T02:44:24Z
dc.date.available 2014-03-01T02:44:24Z
dc.date.issued 2007 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31807
dc.subject Distance Metric en
dc.subject Distributed System en
dc.subject Experimental Study en
dc.subject Overlay Network en
dc.subject Spatial Information en
dc.subject.other Distributed frameworks en
dc.subject.other Search efficiency en
dc.subject.other Autonomous agents en
dc.subject.other Parameter extraction en
dc.subject.other Search engines en
dc.subject.other Distributed database systems en
dc.title A study for the parameters of a distributed framework that handles spatial areas en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-73540-3_22 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-73540-3_22 en
heal.publicationDate 2007 en
heal.abstract In this work we study the construction of a framework for autonomous sites that are bound to spatial information and that form an overlay network; we investigate the parameters of such a distributed system in order to perform search guided by locality and directionality in space. We present the main parameters of the framework and propose appropriate values for them. A theoretical study discusses the overall search efficiency limits for two approaches concerning the main framework parameter, i.e. the distance metric. Furthermore, the behavior of the rest of the framework parameters is examined based on an experimental study. © Springer-Verlag Berlin Heidelberg 2007. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-73540-3_22 en
dc.identifier.volume 4605 LNCS en
dc.identifier.spage 385 en
dc.identifier.epage 402 en


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