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Virtual network function chaining placement based on dynamic multi-objective optimization and multi-criteria decision making
Network Function Visualization (NFV) is a technology that promises to provide greater flexibility and dynamism than the traditional, conventional networks with middlebox hardware. These benefits bring with them the challenge of calculating routes and ...
Multicast routing and virtual network function placement in NFV-SDN networks: a genetic algorithms approach
Communication trends demand services that require flexible multicast transmission with requirements for data processing functions at the network nodes. This challenge is achieved with software-defined networking (SDN) and network functions ...
Routing, baud rate, code, modulation level, and spectrum assignment in elastic optical networks: a genetic algorithms approach
The Routing, Code, Baud rate, Modulation Level, and Spectrum Assignment (RBCMLSA) problem is critical in Elastic Optical Networks (EON). Literature reports solutions based on Integer Linear Programming (ILP) and heuristic techniques. However, when the ...
Optimal planning of a quantum key distribution system
This work presents a novel formulation for the optimal planning of a quantum key distribution system in a multi-objective optimization context. Furthermore, a mathematical formulation of the problem is proposed followed by simulations with 5, 12, and 14 ...
FANS: flying ad-hoc network simulator
Advancement in the Embedded and Microelectromechanical systems have led to the development of small, low cost and light weight Unmanned Aerial Vehicles (UAVs). Multiple such UAVs can be used to form a Flying Ad-hoc Network (FANET) to assist in various ...
SIFRAN: evaluating IoT networks with a no-code framework based on ns-3
With the tremendous ascension of the Internet of Things over the recent years, ns-3 has consolidated its position in terms of popularity among the research community. Indeed, it has become one of the most used open-source network simulators, with an ...
Machine learning algorithms applied to telemetry data of SCD-2 brazilian satellite
- Isabela Tavares,
- Júnia Maísa Oliveira,
- André Ferreira Teixeira,
- Marconi de Arruda Pereira,
- Marcos Tomio Kakitani,
- José Marcos Nogueira
With the advancement of information technologies, big data and data storage and processing capacity, there is an increase in studies on machine learning in different contexts, especially in the spatial context. Specifically talking about artificial ...
Prefixes equivalence classes: a compact and comprehensive way to grasp the complexity of external BGP updates
This article introduces the main ideas behind prefixes equivalence classes, a process that allows essential information distributed through millions of Internet BGP updates to be captured in a few dozen data records. The technique was successfully used ...
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- Proceedings of the 2022 Latin America Networking Conference