Academic literature on the topic 'Software routers'

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Journal articles on the topic "Software routers"

1

Decasper, D., Z. Dittia, G. Parulkar, and B. Plattner. "Router plugins: a software architecture for next-generation routers." IEEE/ACM Transactions on Networking 8, no. 1 (2000): 2–15. http://dx.doi.org/10.1109/90.836474.

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2

Decasper, Dan, Zubin Dittia, Guru Parulkar, and Bernhard Plattner. "Router plugins: a software architecture for next generation routers." ACM SIGCOMM Computer Communication Review 28, no. 4 (1998): 229–40. http://dx.doi.org/10.1145/285243.285285.

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3

Collinson, Helen. "Routers get security auditing software." Computers & Security 14, no. 6 (1995): 521. http://dx.doi.org/10.1016/0167-4048(95)99322-g.

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4

Nasir, M. H. M., N. A. M. Radzi, W. S. H. M. W. Ahmad, F. Abdullah, and M. Z. Jamaludin. "Comparison of router testbeds: embedded system-based, software-based, and multiprotocol label switching (MPLS)." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 3 (2019): 1250. http://dx.doi.org/10.11591/ijeecs.v15.i3.pp1250-1256.

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<span>Multiprotocol Label Switching (MPLS) is a promising packet switching technology in the field of communication network, allowing router to forward the packets based on labels. However, off-the-shelves routers are made to be non-configurable, making it less suitable for academic research purposes. The aim of this paper is to explore the possibility of developing a configurable MPLS router by reviewing embedded system-based router, software-based router and commercial MPLS router itself. The architecture of the routers will be described in detail and their performances will be compared. From the analysis, we found that the development of reconfigurable MPLS router testbed is achievable by using embedded system-based hardware due to its freedom of reconfigurability.</span>
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5

Pakhomova, V. M., and A. O. Opriatnyi. "Software Model for Determining the Optimal Routes in a Computer Network Based on the Two-Colonial Ant Algorithm." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 3(93) (June 15, 2021): 38–49. http://dx.doi.org/10.15802/stp2021/242046.

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Purpose. At present, the computer networks of the information and telecommunication system (ITS) of railway transport use the OSPF protocol, which does not allow taking into account several metrics when determining the optimal route. Therefore, there is a need to study the possibility of organizing routing in computer networks of rail transport ITS using a two-colonial ant algorithm. Methodology. According to the Two-ACO software model, created in the Python language based on the two-colonial ant algorithm, the optimal route in a computer network was determined. Two-ACO model inputs: computer network parameters (network adjacency matrix, number of routers); parameters of the ant algorithm (number of iterations; number of ants in the colony; number of elite ants; initial pheromone level; evaporation rate; parameter for adjusting the amount of pheromone deposition). Findings. The results of the Two-ACO model are presented in the form of graphs depicting the optimal paths: the criterion of the total delay on the routers (for the first colony of ants) and the number of hops (for the second colony of ants). Originality. According to the created Two-ACO software model for a computer network of 7 routers and 17 channels, a study of the time for determining the optimal path in a computer network by the number of ordinary and elite ants, evaporation rate and deposited pheromone was conducted. It is determined that it is enough to use the number of ants equal to the number of routers and have 2 elite ants in the colony, with 1000 iterations, evaporation rate from 0.2 to 0.7, and pheromone deposition by ants close to one. Practical value. Created Two-ACO software model using two colonies of ants on the following criteria: the total delay on the routers (for the first colony of ants) and the number of hops that make up the route (for the second colony of ants) allows you to parallel determine the optimal routes in a computer network of railway transport. It is estimated that for a computer network of 15 routers and 17 channels, it is sufficient to have 30 agents (two ants on top), the value of the pheromone deposited by the agents is close to one, and the evaporation rate is 0.4.
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Bianco, Andrea, Jorge Finochietto, Marco Mellia, Fabio Neri, and Giulio Galante. "Multistage Switching Architectures for Software Routers." IEEE Network 21, no. 4 (2007): 15–21. http://dx.doi.org/10.1109/mnet.2007.386465.

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7

Lee, HyunYong, and Akihiro Nakao. "Improving Routing Table Lookup in Software Routers." IEEE Communications Letters 19, no. 6 (2015): 957–60. http://dx.doi.org/10.1109/lcomm.2015.2418759.

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8

Bolla, Raffaele, Roberto Bruschi, and Paolo Lago. "Energy adaptation in multi-core software routers." Computer Networks 65 (June 2014): 111–28. http://dx.doi.org/10.1016/j.comnet.2014.02.027.

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9

Suksomboon, Kalika, Nobutaka Matsumoto, Masaki Fukushima, Shuichi Okamoto, and Michiaki Hayashi. "Towards performance prediction of multicore software routers." International Journal of Network Management 27, no. 2 (2017): e1966. http://dx.doi.org/10.1002/nem.1966.

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10

Baumgartner, Florian, Torsten Braun, Eveline Kurt, and Attila Weyland. "Virtual routers." ACM SIGCOMM Computer Communication Review 33, no. 3 (2003): 127–35. http://dx.doi.org/10.1145/956993.957008.

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