Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Load Balancing System and Quality of Service Optimization

Load Balancing System and Quality of Service Optimization

Cueto, Juan Luis
Gómez, Jorge Gómez
Bayas, Byron Oviedo

Paperback

General Computers

ISBN10: 620923237X
ISBN13: 9786209232374
Publisher: Our Knowledge Publishing
Published: Oct 29 2025
Pages: 116
Weight: 0.36
Height: 0.28 Width: 6.00 Depth: 9.00
Language: English
Currently, the growing demand for connectivity, coupled with the exponential increase in data traffic, presents significant challenges for WiFi networks, including the management of quality of service and load balancing. These problems are aggravated by technological evolution and the integration of systems such as Artificial Intelligence and IoT, which generate volumes of data such that current infrastructures do not handle efficiently; this project proposed to design a system based on SDN environment that, using the Ryu controller, integrated QoS and load balancing algorithms in SDN switches, supported by machine learning techniques. The methodology applied included analysis, design, implementation, evaluation and optimization through simulations and tests in different controlled scenarios; among the expected results, the system improved aspects such as traffic distribution, latency reduction, packet loss, and other network resources, ensuring a better user experience and greater efficiency in the operation of networks in the face of growing demands.

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