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Algorithms for Assigning Substrate Network Resources to Virtual Network Components
Abstract
Recent proposals for network virtualization provide a promising way to overcome the Internet ossification. The key idea of network virtualization is to build a diversified Internet to support a variety of network services and architectures through a shared substrate. A major challenge in network virtualization is the assigning of substrate resources to virtual networks (VN) efficiently and on-demand. This paper focuses on two versions of the VN assignment problem: VN assignment without reconfiguration (VNA-I) and VN assignment with reconfiguration (VNAII). For the VNA-I problem, we develop a basic scheme as a building block for all other advanced algorithms. Subdividing heuristics and adaptive optimization strategies are then presented to further improve the performance. For the VNA-II problem, we develop a selective VN reconfiguration scheme that prioritizes the reconfiguration of the most critical VNs. Extensive simulation experiments demonstrate that the proposed algorithms can achieve good performance under a wide range of network conditions.
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On the Carbon Footprint Optimization in an InterCloud Environment
Justafort, V. D., Beaubrun, R., & Pierre, S. (2018) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2015.2511768 · Cited by 10
Metadata
- Authors
- Zhu, Y., & Ammar, M.
- Venue
- Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications
- Publisher
- IEEE
- Published
- 2006
- Pages
- 1-12
- OpenAlex
- W2142547489
- Cited by
- 779
- References
- 0
- FWCI
- 9.09
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Algorithms for Assigning Substrate Network Resources to Virtual Network Components. https://app.cochat.ai/papers/10.1109/infocom.2006.322
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- Zhu, Y., & Ammar, M. (2006). Algorithms for Assigning Substrate Network Resources to Virtual Network Components. Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. https://doi.org/10.1109/infocom.2006.322
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.