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https://ruomo.lib.uom.gr/handle/7000/1393
Πλήρης εγγραφή μεταδεδομένων
Πεδίο DC | Τιμή | Γλώσσα |
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dc.contributor.author | Fonseca, Felipe F. | - |
dc.contributor.author | Mamatas, Lefteris | - |
dc.contributor.author | Viana, Aline C. | - |
dc.contributor.author | Correa, Sand L. | - |
dc.contributor.author | Cardoso, Kleber V. | - |
dc.date.accessioned | 2022-09-26T07:59:09Z | - |
dc.date.available | 2022-09-26T07:59:09Z | - |
dc.date.issued | 2019 | - |
dc.identifier | 10.1109/GLOBECOM38437.2019.9013548 | en_US |
dc.identifier.isbn | 978-1-7281-0962-6 | en_US |
dc.identifier.uri | https://doi.org/10.1109/GLOBECOM38437.2019.9013548 | en_US |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/1393 | - |
dc.description.abstract | The 5G networks enable new touristic services with challenging communication requirements, such as augmented reality (AR) applications, and allow the visitors to enjoy a touristic experience that involves both the physical and virtual space. Here, we propose a novel multi- user travel itinerary planning framework based on an optimal problem formulation that considers both individual trip itinerary (e.g., tourist's preferences, time or cost) and touristic service constraints (e.g., nearby edge cloud resources and application requirements). The main idea is to maximize the itinerary score of individual visitors, while also optimizing the resource allocation at the edge. We consider two services, video streaming and AR, and evaluate our framework using data from Flickr. Results demonstrate gains up to 100% in the resource allocation and user experience in comparison with a state-of-the-art solution adapted to this scenario. | en_US |
dc.language.iso | en | en_US |
dc.subject | FRASCATI::Engineering and technology | en_US |
dc.subject | FRASCATI::Natural sciences::Computer and information sciences | en_US |
dc.subject.other | 5G mobile communication | en_US |
dc.subject.other | augmented reality | en_US |
dc.subject.other | cloud computing | en_US |
dc.subject.other | multimedia Web sites | en_US |
dc.subject.other | resource allocation | en_US |
dc.subject.other | travel industry | en_US |
dc.subject.other | user experience | en_US |
dc.subject.other | video streaming | en_US |
dc.subject.other | Personalized Travel Itineraries | en_US |
dc.subject.other | ESPPRC | en_US |
dc.subject.other | Multi-access Edge Computing | en_US |
dc.subject.other | Network Slicing | en_US |
dc.title | Personalized Travel Itineraries with Multi-Access Edge Computing Touristic Services | en_US |
dc.type | Conference Paper | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.firstpage | 1 | en_US |
local.identifier.lastpage | 6 | en_US |
local.identifier.volumetitle | 2019 IEEE Global Communications Conference (GLOBECOM) | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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Σ37.pdf | 371,14 kB | Adobe PDF | Προβολή/Ανοιγμα |
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