16 resultados para pyramidal patterned substrate
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (11)
- Aston University Research Archive (13)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (16)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (167)
- 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 (78)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (4)
- CentAUR: Central Archive University of Reading - UK (34)
- Cochin University of Science & Technology (CUSAT), India (11)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (24)
- CORA - Cork Open Research Archive - University College Cork - Ireland (7)
- Dalarna University College Electronic Archive (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons - Montana Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (3)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (6)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (2)
- Düsseldorfer Dokumenten- und Publikationsservice (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (3)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (93)
- Nottingham eTheses (7)
- Publishing Network for Geoscientific & Environmental Data (56)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (2)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório da Produção Científica e Intelectual da Unicamp (24)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (95)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (29)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (23)
- Universidade do Minho (7)
- Universidade dos Açores - Portugal (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (39)
- Université de Montréal, Canada (2)
- University of Connecticut - USA (1)
- University of Michigan (3)
- University of Queensland eSpace - Australia (115)
- University of Washington (1)
- WestminsterResearch - UK (2)
Resumo:
Network virtualization is a promising technique for building the Internet of the future since it enables the low cost introduction of new features into network elements. An open issue in such virtualization is how to effect an efficient mapping of virtual network elements onto those of the existing physical network, also called the substrate network. Mapping is an NP-hard problem and existing solutions ignore various real network characteristics in order to solve the problem in a reasonable time frame. This paper introduces new algorithms to solve this problem based on 0–1 integer linear programming, algorithms based on a whole new set of network parameters not taken into account by previous proposals. Approximative algorithms proposed here allow the mapping of virtual networks on large network substrates. Simulation experiments give evidence of the efficiency of the proposed algorithms.