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LOAD BALANCING SYSTEM AND QUALITY OF SERVICE OPTIMIZATION

LOAD BALANCING SYSTEM AND QUALITY OF SERVICE OPTIMIZATION

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
116
Release Date:
2025-10-29
Publication Date:
2025-10-29
Publisher:
Our Knowledge Publishing
Languages:
Original: English
ISBN10:
620923237X
ISBN13:
9786209232374
GPSR Manufacturer Reference:
Weight:
191 g
Height:
150 cm
Width:
220 cm
Thickness:
7 cm
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