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Estatística
Título: OPTIMIZATION OF COMPUTATIONAL RESOURCE ALLOCATION FOR CORE NETWORK APPLICATIONS IN MOBILE TELECOMMUNICATIONS SCENARIOS
Autor(es): GUSTAVO DE FARIAS PADILLA
Colaborador(es): MARCO ANTONIO GRIVET MATTOSO MAIA - Orientador
Catalogação: 14/DEZ/2023 Língua(s): ENGLISH - UNITED STATES
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=65433@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=65433@2
DOI: https://doi.org/10.17771/PUCRio.acad.65433
Resumo:
The use of mobile phone networks has been increasing at a very fast pace, where users seek a better experience in the use of video streaming applications, Internet of Things (IoT) networks, and real-time demands, requiring high transmission rates, low latency, and connectivity to a large number of users. To meet such requirements, the use of an increasing amount of computational resources in CORE servers is necessary. A significant challenge in this environment is the allocation of resources for activities related to providing services to end-users of a converged 5G CORE network. When resources are allocated with greater efficiency and utilization, it is possible for operators to have more resources that can be invested in more remote locations, improving the user experience in all the most remote corners of the country.
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