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Applied Sciences
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Web Infrastructure Enhancement and Performance Evaluation
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Web Infrastructure Enhancement and Performance Evaluation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (10 March 2022) | Viewed by 7936

Special Issue Editors

Prof. Dr. Krzysztof Zatwarnicki

E-Mail Website
Guest Editor
Department of Computer Science, Opole University of Technology, 45-758 Opole, Poland
Interests: general collective intelligence; artificial general intelligence; load distribution in web systems; cloud computing systems
Special Issues, Collections and Topics in MDPI journals
Prof. Leszek Borzemski

E-Mail Website
Guest Editor
Faculty of Management and Computer Science, Wrocław University of Technology, 50-370 Wrocław, Poland
Interests: applied artificial Intelligence; computer engineering; telecommunications engineering; web services; intelligent systems

Special Issue Information

Dear Colleagues,

Over the last two decades, the Internet became an essential medium for entertainment, information, and business. It has evolved from a medium intended only for privileged users into a medium without which we cannot imagine our daily life. Web technologies’ significant development requires the application of increasingly complex systems, infrastructure enhancement, and algorithms for maintaining a high quality of Web services. The Web ecosystem is still far from being mature and requires constant improvements, novel technologies, architectures, and algorithms. The performance evaluation of new solutions allows the identification of the best technologies to be applied.

This Special Issue aims to consolidate the efforts of interdisciplinary research groups to develop and evaluate new standards, architectures, algorithms, and methods, as well as novel devices that can be used in the Web infrastructure. We welcome submissions that apply technology, load distribution, and load sharing problems, modeling the behavior of Web clients, applications of cloud and cluster Web-based systems, and other modern solutions in the range of the Web. The topics of interest are connected with Web infrastructure and include but are not limited to:

  • Literature reviews or surveys.
  • New technological developments.
  • Empirical research and case studies.
  • Critical views or visionary and forward-looking concepts and approaches.

Prof. Krzysztof Zatwarnicki
Prof. Leszek Borzemski

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • enhancement in Web infrastructure
  • deployment and testbed in Web infrastructure
  • management of cloud/cluster/green Web-based systems
  • load distribution in Web systems
  • load sharing in Web systems
  • modeling behavior of Web clients
  • fault tolerance, reliability, and survivability of Web systems
  • green Web systems

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Published Papers (3 papers)

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Research

18 pages, 504 KiB  
Article
Using Data Mining Techniques for Detecting Dependencies in the Outcoming Data of a Web-Based System
by Tomasz Rak and Rafał Żyła
Appl. Sci. 2022, 12(12), 6115; https://doi.org/10.3390/app12126115 - 16 Jun 2022
Cited by 9 | Viewed by 2974
Abstract
The increasing amount of data from web systems data is becoming one of the most valuable resources for information retrieval and knowledge discovery. The huge content of information makes it an important area for data mining research. To analyze the dependencies of the [...] Read more.
The increasing amount of data from web systems data is becoming one of the most valuable resources for information retrieval and knowledge discovery. The huge content of information makes it an important area for data mining research. To analyze the dependencies of the outcoming data, expressed as query scenarios, we present a new approach for evaluating the behavior of interactive web systems by applying different data mining techniques to solve the problem. We propose tools that take outcoming logs as input, analyze them, and provide information about web client actions. Qualitative and quantitative automatic evaluation of the data can explain the connections between the most significant parameters of the system in particular scenarios. In this paper, we propose a new method, which can be used to efficiently verify the type of client behavior of a web system or design of the system. The analysis of results demonstrates the possibility of efficient pattern search. Full article
(This article belongs to the Special Issue Web Infrastructure Enhancement and Performance Evaluation)
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18 pages, 4920 KiB  
Article
Application of Neural Networks in Distribution of the Load in Cluster-Based Web Systems
by Waldemar Pokuta and Krzysztof Zatwarnicki
Appl. Sci. 2022, 12(1), 79; https://doi.org/10.3390/app12010079 - 22 Dec 2021
Cited by 2 | Viewed by 2287
Abstract
Cloud computing systems revolutionized the Internet, and web systems in particular. Quality of service is the basis of resource configuration management in the cloud. Load balancing mechanisms are implemented in order to reduce costs and increase the quality of service. The usage of [...] Read more.
Cloud computing systems revolutionized the Internet, and web systems in particular. Quality of service is the basis of resource configuration management in the cloud. Load balancing mechanisms are implemented in order to reduce costs and increase the quality of service. The usage of those methods with adaptive intelligent algorithms can deliver the highest quality of service. In this article, the method of load distribution using neural networks to estimate service times is presented. The discussed and conducted research and experiments include many approaches, among others, application of a single artificial neuron, different structures of the neural networks, and different inputs for the networks. The results of the experiments let us choose a solution that enables effective load distribution in the cloud. The best solution is also compared with other intelligent approaches and distribution methods often used in production systems. Full article
(This article belongs to the Special Issue Web Infrastructure Enhancement and Performance Evaluation)
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9 pages, 634 KiB  
Article
Recommendations for Using QPN Formalism for Preparation of Incoming Request Stream Generator in Modeled System
by Tomasz Rak and Dariusz Rzonca
Appl. Sci. 2021, 11(23), 11532; https://doi.org/10.3390/app112311532 - 5 Dec 2021
Cited by 1 | Viewed by 1563
Abstract
Simulation models are elements of science that use software tools to solve complex mathematical problems. They are beneficial in areas such as performance engineering and communications systems. Nevertheless, to achieve more accurate results, researchers should use more detailed models. Having an analysis of [...] Read more.
Simulation models are elements of science that use software tools to solve complex mathematical problems. They are beneficial in areas such as performance engineering and communications systems. Nevertheless, to achieve more accurate results, researchers should use more detailed models. Having an analysis of the system operations in the early modeling phases could help one make better decisions relating to the solution. In this paper, we introduce the use of the QPME tool, based on queueing Petri nets, to model the system stream generator. This formalism was not considered during the first tool development. As a result of the analysis, an alternative design model is proposed. By comparing the behavior of the proposed generator against the one already developed, a better adjustment of the stream to the customer’s needs was obtained. The study results show that appropriately adjusting queueing Petri net models can help produce better streams of data (tokens). Full article
(This article belongs to the Special Issue Web Infrastructure Enhancement and Performance Evaluation)
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