Research of traffic balancing algorithms and their implementation into RSocket

Bilusyak, Dmytro

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Students Research & Project Works | Роботи студентів
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Факультет прикладних наук
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Бакалаврська програма "Комп'ютерні науки"
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2023
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dc.contributor.author	Bilusyak, Dmytro
dc.date.accessioned	2024-02-14T08:58:39Z
dc.date.available	2024-02-14T08:58:39Z
dc.date.issued	2023
dc.identifier.citation	Bilusyak, Dmytro. Research of traffic balancing algorithms and their implementation into RSocket / Dmytro Bilusyak; Supervisor: Oleh Dokuka; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2023. – 51 p.: ill.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/4401
dc.language.iso	en	uk
dc.title	Research of traffic balancing algorithms and their implementation into RSocket	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	Load balancing algorithms play a crucial role in enhancing system scalability, op- timizing resource utilization, and improving overall performance. However, the effectiveness of load balancing depends on selecting the appropriate strategy that aligns with the specific requirements of the system. With a wide range of avail- able options, it is essential to consider various parameters and system needs when making the choice. By carefully evaluating these factors, an optimal load balancing strategy can be selected to achieve the desired outcomes.The goal of this research is to compare the performance of various load balancing algorithms in different met- rics. The test results are able to highlight specific performance metrics in which each algorithm outperformed others, as well as identify the traffic parameters that affect these metrics. The test environment was carefully designed to ensure consistent and reliable performance data in each test case. The test system consisted of one load balancing node and three servers responsible for handling requests, along with a traffic loader(also a performance testing node). The majority of the data was gener- ated by a traffic loader implemented using the Locust load testing framework. The testing environment was developed using the Python programming language and employed the RSocket transport protocol.GitHub Repository.	uk