Abstract

As the number of users increased over the years, pioneering technologies and solutions in given areas ceased to be sufficient even in terms of performance. Therefore, there was a need for their development or even redesign and redefinition. One of the issues that undoubtedly has a huge impact on the current shape of the global network and the way information is processed in it is the issue of traffic balancing, especially the one in the server infrastructure related to the WWW service, providing users with the possibility of efficient and reliable web browsing. The paper presents a comparative analysis of selected open-source solutions used for traffic balancing in server infrastructures providing WWW service based on selected criteria. The designed architecture of the test environment and the test results of selected tools implementing the traffic-balancing functionality are presented. Methodologies, test plans, and comparison criteria are proposed. A comparative analysis of results based on specific criteria was performed. The balance between network traffic optimization and load balancing distribution among servers is crucial for the development of energy-efficient data processing centers.

Highlights

  • Changing user requirements over the years have consistently changed the paradigm for data transmission over the network

  • The purpose of the simulations and analysis presented here is an analysis of selected open-source solutions for traffic balancing in server infrastructures providing World Wide Web (WWW) service, which has a direct impact on the energy consumption of the data centers

  • By examining the change in residual sum of squares (RSS) in multivariate adaptive regression splines (MARS), we find that the local optima from previous iterations can be very close to those of the current iteration

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Summary

Introduction

Changing user requirements over the years have consistently changed the paradigm for data transmission over the network. Networks using packet switching became widespread for good, which was one of the foundations of ARPANET In this technique, groups of hosts are connected to each other using network nodes—the role of nodes today is usually played by routers and switches. Groups of hosts are connected to each other using network nodes—the role of nodes today is usually played by routers and switches It is these devices that, based on the source and destination addresses, are able to deliver the packet from the source to the destination. An important feature of horizontal scaling is the fact that the added machines can be radically different from each other because their hardware configuration only affects the performance of requests received from the network

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