Experimental Evaluation of the Virtual Environment Efficiency for Distributed Software Development

Kolyasnikov, Pavel; Nikulchev, Evgeny; Silakov, Iliy; Ilin, Dmitry; Gusev, Alexander

doi:10.14569/ijacsa.2019.0100539

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…VR technology design disciplines are very extensive, including computers, artificial intelligence, and sensor technology. It only needs computer technology to realize the realistic environmental world and make people feel brand-new experience and interaction [7,8]. e virtual reality system emphasizes realism, vision, interaction, personal perspective, and rapid response.…”

Section: Basketball Equipmentmentioning

confidence: 99%

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Zhou

2021

Mathematical Problems in Engineering

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With the development of social economy and the improvement of material level, people are paying more and more attention to their own health, and they are also constantly improving their fitness awareness. As far as the current sports equipment is concerned, the boring exercise methods can no longer satisfy people’s pursuit of higher quality fitness exercises. The embedding of the distributed virtual environment can incorporate its perceptual, immersive, and interactive characteristics, which increases the realization of multiuser interactive behavior in the field of sports equipment in the virtual scene. Therefore, this paper proposes the research and development of basketball sports equipment embedded system based on distributed virtual environment. First of all, this article adopts the literature method to learn the application of distributed virtual environment and embedded system in depth and, secondly, designs the embedded system architecture of basketball sports equipment suitable for distributed virtual environment and the software and hardware framework of the embedded system. Finally, the performance, delay comparison, system optimization test, and other aspects of the embedded system are analyzed. The average delay of interactive functions of embedded systems based on distributed virtual environment is 1.4 min, which saves 4 min compared with traditional interactive methods. And, the throughput rate of the system has also been greatly improved. The research on the embedded system of sports equipment based on the distributed virtual environment proposed in this paper will be beneficial to the development of society and economy, and it can also help more people to enrich the way of sports and enhance the fun of sports.

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Section: Basketball Equipmentmentioning

confidence: 99%

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Zhou

2021

Mathematical Problems in Engineering

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“…Those techniques allowed the developers to assess the compliance of the framework with the general needs of the developer for a given set of components using the performance benchmark results [3] or expert evaluations [4]. However, an urgent task is creation of a methodology for selecting the efficient set of software components for the specified framework to provide the guaranteed quality of service [5] (QoS) and the efficiency of operation under given conditions. Those conditions include the specific development environment, computing infrastructure, computational loads during normal and peak operation, etc.…”

Section: Related Workmentioning

confidence: 99%

Software Design using Genetic Quality Components Search

Nikulchev¹,

Ilin²,

Gusev³

2019

IJACSA

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The paper presents a software design methodology based on computational experiments for effective selection of software component set. The selection of components is performed with respect to the numerical quality criteria evaluated in the reproducible experiments with various sets of components in the virtual infrastructure simulating the operating conditions of a software system being developed. To reduce the number of experiments with unpromising sets of components the genetic algorithm is applied. For representing the sets of components in the form of natural genotypes, the encoding mapping is introduced, reverse mapping is used to decipher the genotype. In the first step of the technique, the genetic algorithm creates an initial population of random genotypes that are converted into the assessed sets of software components. The paper shows the application of the proposed methodology to find the effective choice of Node.js components. For this purpose, a MATLAB program of genetic search and experimental scenario for a virtual machine running Ubuntu 16.04 LTS operating system were developed. To guarantee the proper reproduction of the experimental conditions, the Vagrant and Ansible configuration tools were used to create the virtual environment of the experiment.

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“…Thus, the preference for a component should be based on an experimental study of the quality of its operation in a stack together with the components implementing the rest of the functionality of the software system. It is also necessary to guarantee the reproducibility of the experiments and the conformity of the experimental environment to the real operating conditions of the software system, which can be done through using the preconfigured virtual infrastructure, simulating the desired operating conditions [8].…”

Section: Introductionmentioning

confidence: 99%

The Dataset of the Experimental Evaluation of Software Components for Application Design Selection Directed by the Artificial Bee Colony Algorithm

Gusev

Ilin

Nikulchev

2020

Data

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The paper presents the swarm intelligence approach to the selection of a set of software components based on computational experiments simulating the desired operating conditions of the software system being developed. A mathematical model is constructed, aimed at the effective selection of components from the available alternative options using the artificial bee colony algorithm. The model and process of component selection are introduced and applied to the case of selecting Node.js components for the development of a digital platform. The aim of the development of the platform is to facilitate countrywide simultaneous online psychological surveys in schools in the conditions of unstable internet connection and the large variety of desktop and mobile client devices, running different operating systems and browsers. The module whose development is considered in the paper should provide functionality for the archiving and checksum verification of the survey forms and graphical data. With the swarm intelligence approach proposed in the paper, the effective set of components was identified through a directional search based on fuzzy assessment of the three experimental quality indicators. To simulate the desired operating conditions and to guarantee the reproducibility of the experiments, the virtual infrastructure was configured. The application of swarm intelligence led to reproducible results for component selection after 312 experiments instead of the 1080 experiments needed by the exhaustive search algorithm. The suggested approach can be widely used for the effective selection of software components for distributed systems operating in the given conditions at this stage of their development.

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Experimental Evaluation of the Virtual Environment Efficiency for Distributed Software Development

Cited by 6 publications

References 12 publications

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Distributed Virtual Environment Basketball Equipment Embedded Systems’ Research and Development

Software Design using Genetic Quality Components Search

The Dataset of the Experimental Evaluation of Software Components for Application Design Selection Directed by the Artificial Bee Colony Algorithm

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