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Discovering the Network Topology: An Efficient Approach for SDN [PDF]
Advances in Distributed Computing and Artificial Intelligence Journal, 2016 Network topology is a physical description of the overall resources in the network. Collecting this information using efficient mechanisms becomes a critical task for important network functions such as routing, network management, quality of service ...
Leonardo OCHOA-ADAY +2 more
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Determination of the Topology of a Directed Network [PDF]
Proceedings 16th International Parallel and Distributed Processing Symposium, 2002 We consider strongly-connected directed networks of identical synchronous, finite-state processors with in- and out-degree uniformly bounded by a network constant.
Goldstein, Darin
core +6 more sources
The topology of the kinetoplast DNA network
Cell, 1995 Kinetoplast DNA (kDNA) of trypanosomatid parasites is a network of approximately 5000 catenated DNA minicircles and approximately 25 maxicircles. We developed the following strategy to deduce the topological linkage of the minicircles of the Crithidia fasciculata network.
Junghuei Chen +4 more
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DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Recently, neural architecture search (NAS) has been applied to automatically search high-performance networks for medical image segmentation. The NAS search space usually contains a network topology level (controlling connections among cells with ...
Yufan He +4 more
semanticscholar +1 more source
Efficient and safe software defined network topology discovery protocol
网络与信息安全学报, 2023 The network topology discovery in OpenFlow-based software-defined networks is mainly achieved by utilizing the OpenFlow discovery protocol (OFDP).However, it has been observed in existing research that OFDP exhibits low updating efficiency and is ...
Dong LI, Junqing YU, Yongpu GU, Pengcheng ZHAO
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Study on Topology Reconfiguration of Optical Interconnection Network in Data Center
Guangtongxin yanjiu, 2022 Aiming at preventing the network performance deterioration caused by fixed link topology connections in optically switched networks, this paper proposes and validates an interconnection and control mechanism that can automatically optimize and ...
Wen YANG +6 more
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Topology of fracture networks [PDF]
Frontiers in Physics, 2013 We propose a mapping from fracture systems consisting of intersecting fracture sheets in three dimensions to an abstract network consisting of nodes and links. This makes it possible to analyze fracture systems with the methods developed within modern network theory. We test the mapping for two-dimensional geological fracture outcrops and find that the
Christian Andre Andresen +5 more
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A graph model of the topology of physical, link and network layers of an enterprise network [PDF]
Proceedings of the XXth Conference of Open Innovations Association FRUCT, 2016 Many network management tasks require a network topology graph as its input. However, the lack of standard methods of network elements detection, coupled with the incompleteness and heterogeneity of the available topology data, complicate the network ...
Anton Andreev +3 more
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Topological learning for brain networks [PDF]
The Annals of Applied Statistics, 2020 AbstractThis paper proposes a novel topological learning framework that can integrate networks of different sizes and topology through persistent homology. This is possible through the introduction of a new topological loss function that enables such challenging task. The use of the proposed loss function bypasses the intrinsic computational bottleneck
Moo K. Chung, Tananun Songdechakraiwut
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An algorithm for building an enterprise network topology using widespread data sources [PDF]
Proceedings of the XXth Conference of Open Innovations Association FRUCT, 2017 A lot of network management tasks depend on the description of the network topology. However, the lack of standard methods of the network elements detection, coupled with the incompleteness and heterogeneity of the available topology data, complicate the
Anton Andreev, Iurii Bogoiavlenskii
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