1 resultado para Solving Problems for Evidence
em Scielo Uruguai
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (3)
- Academic Research Repository at Institute of Developing Economies (5)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Aston University Research Archive (17)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (123)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (32)
- Brock University, Canada (7)
- Bulgarian Digital Mathematics Library at IMI-BAS (19)
- CentAUR: Central Archive University of Reading - UK (29)
- Central European University - Research Support Scheme (1)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (7)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (23)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Dalarna University College Electronic Archive (3)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (5)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (5)
- DigitalCommons@University of Nebraska - Lincoln (12)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (17)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Institute of Public Health in Ireland, Ireland (3)
- Instituto Politécnico de Castelo Branco - Portugal (1)
- Instituto Politécnico de Leiria (1)
- Instituto Politécnico de Santarém (1)
- Instituto Politécnico de Viseu (2)
- Instituto Politécnico do Porto, Portugal (6)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (10)
- Open Access Repository of Association for Learning Technology (ALT) (1)
- Open University Netherlands (2)
- QSpace: Queen's University - Canada (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (6)
- Repositório da Produção Científica e Intelectual da Unicamp (14)
- Repositorio de la Universidad de Cuenca (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (11)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (2)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (2)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (58)
- Repositorio Institucional Universidad de Medellín (3)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (8)
- Scielo Saúde Pública - SP (2)
- Scielo Uruguai (1)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (2)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (19)
- Universidade de Madeira (1)
- Universidade do Minho (12)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universidade Metodista de São Paulo (3)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (15)
- Université de Montréal (2)
- Université de Montréal, Canada (8)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (1)
- University of Michigan (14)
- University of Queensland eSpace - Australia (294)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
Resumo:
Network Virtualization is a key technology for the Future Internet, allowing the deployment of multiple independent virtual networks that use resources of the same basic infrastructure. An important challenge in the dynamic provision of virtual networks resides in the optimal allocation of physical resources (nodes and links) to requirements of virtual networks. This problem is known as Virtual Network Embedding (VNE). For the resolution of this problem, previous research has focused on designing algorithms based on the optimization of a single objective. On the contrary, in this work we present a multi-objective algorithm, called VNE-MO-ILP, for solving dynamic VNE problem, which calculates an approximation of the Pareto Front considering simultaneously resource utilization and load balancing. Experimental results show evidences that the proposed algorithm is better or at least comparable to a state-of-the-art algorithm. Two performance metrics were simultaneously evaluated: (i) Virtual Network Request Acceptance Ratio and (ii) Revenue/Cost Relation. The size of test networks used in the experiments shows that the proposed algorithm scales well in execution times, for networks of 84 nodes