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A geographical-aware state deployment service for fog computing

datacite.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopt_PT
dc.contributor.advisorMiranda, Hugo Alexandre Tavares
dc.contributor.authorLima, Diogo
dc.date.accessioned2025-02-10T11:42:05Z
dc.date.available2025-02-10T11:42:05Z
dc.date.issued2024-02-23
dc.date.submitted2023-09-18
dc.description.abstractToday’s distributed mobile applications assume a permanent network connectivity to mediate the interactions between a large number of users, coordinated by resourceful servers located in Cloud datacenters. This centralization simplifies application state management, but creates a non-negligible physical distance between the application state and the users. As this distance extend for possibly thousands of kilometers, users are exposed to high latency and uncertain response times (jitter), due to propagation time and the competition for the available bandwidth on backbone networks. Fog Computing proposes to overcome this problem by approximating the Cloud from the users with the deployment of surrogate servers, providing computing power and memory to manage application state, at the edge of the network. A judicious distribution of application state fragments by surrogates gives to Fog Computing the potential to mitigate latency and reduce load in the backbone networks. However, to achieve it, two problems that could not be found in the centralized cloud approach must be addressed. Firstly, the geo-aware state deployment (GeoSD) problem focuses on being able to deploy each of the application state fragmented components on the surrogate at the most favourable location. The deployment algorithm must consider that, even within a simple application, state components do not behave equally. Secondly, the distributed environment problem is concerned with providing state consistency, in particular when operations involve application state components stored on two or more surrogates. Maintaining consistency is crucial to guarantee global application logic. This problem is further aggravated by the fact that surrogates are also susceptible to crash or suffer network partitions. This thesis presents an adaptive geographical-aware state deployment middleware that aggregates a geo-aware state deployment algorithm with a scalable distributed environment framework that supports data consistency and replication.pt_PT
dc.identifier.tid101512147pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/98265
dc.language.isoengpt_PT
dc.relationState Sharing Model for Mobile Distributed Applications
dc.subjectDistributed mobile applicationspt_PT
dc.subjectFog computingpt_PT
dc.subjectGeographical state deploymentpt_PT
dc.subjectConsistencypt_PT
dc.subjectLightweight groupspt_PT
dc.subjectAplicações móveis distribuídaspt_PT
dc.subjectComputação na neblinapt_PT
dc.subjectDisposição geográfica de dadospt_PT
dc.subjectCoerênciapt_PT
dc.subjectGrupos levespt_PT
dc.titleA geographical-aware state deployment service for fog computingpt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/120631/2016
oaire.awardTitleState Sharing Model for Mobile Distributed Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F120631%2F2016/PT
oaire.fundingStreamOE
person.familyNameMoutinho Saraiva Lima
person.givenNameDiogo
person.identifier.ciencia-idFD1F-E5D3-B1A0
person.identifier.orcid0000-0001-9075-6044
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
relation.isAuthorOfPublication42254c41-9aee-4436-93a5-518e80debd57
relation.isAuthorOfPublication.latestForDiscovery42254c41-9aee-4436-93a5-518e80debd57
relation.isProjectOfPublicationfde24b96-220f-4440-bbcf-8b9ef2b5324d
relation.isProjectOfPublication.latestForDiscoveryfde24b96-220f-4440-bbcf-8b9ef2b5324d
thesis.degree.nameTese de doutoramento, Informática (Engenharia Informática), Universidade de Lisboa, Faculdade de Ciências, 2024pt_PT

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