A Comparison of Request Distribution Strategies Used in One and Two Layer Architectures of Web Cloud Systems

Zatwarnicki, Krzysztof; Zatwarnicka, Anna

doi:10.1007/978-3-030-21952-9_14

Cited by 7 publications

(8 citation statements)

References 10 publications

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“…This con¯rms the results presented in Ref. 22 and clearly indicates that two cooperating fuzzy-neural brokers are much more e®ective in request distribution than one.…”

Section: Testbed and Results Of Experimentssupporting

confidence: 80%

An Architecture of a Two-Layer Cloud-Based Web System Using a Fuzzy-Neural Request Distribution

Zatwarnicki

Zatwarnicka

2020

Vietnam J. Comp. Sci.

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Nowadays, a significant part of human activity is supported by information systems, especially Web systems, hosted in the Web clouds. The architectures of Web cloud systems are in most cases complex. In this paper, we try to determine which cloud configuration in double-layer architecture is the best when using the fuzzy-neural intelligent method of request distribution. We present the distribution strategy, a testbed and the results of the conducted experiments. At the end of this paper, we discuss results and present final conclusions.

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“…This con¯rms the results presented in Ref. 22 and clearly indicates that two cooperating fuzzy-neural brokers are much more e®ective in request distribution than one.…”

Section: Testbed and Results Of Experimentssupporting

confidence: 80%

An Architecture of a Two-Layer Cloud-Based Web System Using a Fuzzy-Neural Request Distribution

Zatwarnicki

Zatwarnicka

2020

Vietnam J. Comp. Sci.

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“…Moreover, it greatly influences the validity of the systems' development. In the article [17] they examined request distribution strategies used in one-layer and two-layer architectures of Web systems. In paper [18] they discuss current software architectural styles, patterns, and development platforms based on client-side and server-side technologies.…”

Section: Work Based On Various Formalismsmentioning

confidence: 99%

Modeling Web Client and System Behavior

Rak

2020

Information

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Web systems are becoming more and more popular. An efficiently working network system is the basis for the functioning of every enterprise. Performance models are powerful tools for performance prediction. The creation of performance models requires significant effort. In the article, we want to present various performance models of customer and Web systems. In particular, we want to examine a system behaviour related to different flow routes of clients in the system. Therefore we propose Queueing Petri Nets, the new modeling methodology for dealing with performance issues of production systems. We follow the simulation-based approach. We consider 25 different models to check performance. Then we evaluate them based on the proposed metrics. The validation results show that the model is able to predict the performance with a relative error lower than 20%. Our evaluation shows that prepared models can reduce the effort of production system preparation. The resulting performance model can predict the system behaviour in a particular layer at the indicated load.

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“…All the systems work in this way to minimize the response time for each HTTP request separately. In the latest work [9,10], a proposal of a two-layer architecture of the Web cloud was made. In such a solution, the devices called Web switches are making independent decisions on two layers.…”

Section: Related Workmentioning

confidence: 99%

“…The main difference between methods and algorithms presented in the works [5][6][7][8][9][10] and the TLFNRD strategy is that the previously proposed Web switches and brokers make the distribution decision only on one level ( Fig. 2a).…”

Section: Related Workmentioning

confidence: 99%

“…In the previous work [5][6][7][8] a research on intelligent fuzzy-neural distribution methods minimizing service time in cluster-based and cloud-based Web systems has been presented. In the field of cloud systems, an effective HTTP request distribution system using two-layer architecture, in which decisions were made on two independent levels by web switches learning mutual behavior has been proposed [9,10]. In this article, a novel HTTP request distribution method using one-layer architecture is presented.…”

Section: Introductionmentioning

confidence: 99%

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Two-level fuzzy-neural load distribution strategy in cloud-based web system

Zatwarnicki

2020

J Cloud Comp

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Cloud computing Web systems are today the most important part of the Web. Many companies transfer their services to the cloud in order to avoid infrastructure aging and thus preventing less efficient computing. Distribution of the load is a crucial problem in cloud computing systems. Due to the specifics of network traffic, providing an acceptable time of access to the Web content is not trivial. The utilization of the load distribution with adaptive intelligent distribution strategies can deliver the highest quality of service, short service time and reduce the costs. In the article, a new, two-level, intelligent HTTP request distribution strategy is presented. In the process of designing the architecture of the proposed solution, the results of earlier studies and experiments were taken into account. The proposed decision system contains fuzzy-neural models yielding minimal service times in the Web cloud. The article contains a description of the new solution and the test-bed. In the end, the results of the experiments are discussed and conclusions and presented.

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A Comparison of Request Distribution Strategies Used in One and Two Layer Architectures of Web Cloud Systems

Cited by 7 publications

References 10 publications

An Architecture of a Two-Layer Cloud-Based Web System Using a Fuzzy-Neural Request Distribution

An Architecture of a Two-Layer Cloud-Based Web System Using a Fuzzy-Neural Request Distribution

Modeling Web Client and System Behavior

Two-level fuzzy-neural load distribution strategy in cloud-based web system

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