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Optimizing resource reuse in the web of things

dc.contributor.authorGomes, Ruben
dc.contributor.authorCorreia, Noélia
dc.date.accessioned2025-09-30T12:30:27Z
dc.date.available2025-09-30T12:30:27Z
dc.date.issued2024-11-18
dc.description.abstractThe Web of Things enables collecting vast amounts of data about the environment and sharing them over the Internet. Its popularity, however, has brought challenges under constrained environments, such as an increase in the number of connected devices, and a consequent additional consumption of resources, leading to the deterioration of communications and application response times. By discovering and reusing semantically equivalent Things among applications, resources may be spared and responsiveness improved. In this article, an optimization model is developed to address this issue, and both fair and unfair goals are used for performance comparison over multiple scenarios, with different levels of network connectivity, Thing equivalence and placement. Results show that the interplay between network connectivity and equivalence ratio is determinant for responsiveness improvement, and both parameters can be used for an adequate planning of which Thing hosts to reuse. Also, ensuring a fair responsiveness among applications imposes fewer reuses, particularly in low connectivity and equivalence conditions, than using unfair criteria, where some applications can benefit from high responsiveness while others don't. When a high equivalence ratio is coupled with a low connectivity degree, reuses tend to compound into fewer hosts, independently of fairness.eng
dc.identifier.doi10.1109/urucon63440.2024.10850112
dc.identifier.isbn979-8-3503-5538-3
dc.identifier.urihttp://hdl.handle.net/10400.1/27765
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.ispartof2024 IEEE URUCON
dc.rights.uriN/A
dc.subjectInternet of Things
dc.subjectWeb of Things
dc.subjectReusability
dc.titleOptimizing resource reuse in the web of thingseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferenceDate2024
oaire.citation.conferencePlaceUruguay
oaire.citation.title2024 IEEE URUCO
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGomes
person.familyNameCorreia
person.givenNameRuben
person.givenNameNoélia
person.identifierR-000-DJV
person.identifier.ciencia-idDD19-1F35-B804
person.identifier.orcid0000-0002-0562-2955
person.identifier.orcid0000-0001-7051-7193
person.identifier.ridM-3554-2013
person.identifier.scopus-author-id8411596100
relation.isAuthorOfPublication32214c78-dc9e-4610-8887-2d84b587f537
relation.isAuthorOfPublicationfdbe5057-0478-46cd-9506-caa73ea79d9f
relation.isAuthorOfPublication.latestForDiscoveryfdbe5057-0478-46cd-9506-caa73ea79d9f

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