Performance Evaluation of Fuzzy-Neural HTTP Request Distribution for Web Clusters

2006 ◽  
pp. 192-201 ◽  
Author(s):  
Leszek Borzemski ◽  
Krzysztof Zatwarnicki
Keyword(s):  
Performance Evaluation ◽  
Request Distribution ◽  
Fuzzy Neural ◽  
Web Clusters

Research on Performance Evaluation of Finance Transportation Projects Based on Fuzzy Neural Network

2014 ◽  
Vol 667 ◽  
pp. 60-63
Author(s):  
Wei Guo ◽  
Zhen Ji Zhang
Keyword(s):  
Neural Network ◽  
Performance Evaluation ◽  
Set Theory ◽  
Evaluation System ◽  
Fuzzy Neural Network ◽  
Expert Knowledge ◽  
Highway Projects ◽  
Performance Evaluation System ◽  
Transportation Projects ◽  
Fuzzy Neural

A performance evaluation system of finance transportation projects is mainly researched, in which the sub-module of the highway projects evaluation, waterway projects evaluation, Passenger stations projects evaluation, Energy saving projects evaluation are incorporated. In addition, the expert knowledge are inserted in the system, the multi-layer neural network and fuzzy-set theory are used to implement Performance Evaluation system of Finance invest Transportation Projects, and the feasibility and effectiveness of the evaluation system are finally verified by practice.

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

2020 ◽  
Vol 07 (03) ◽  
pp. 251-262
Author(s):  
Krzysztof Zatwarnicki ◽  
Anna Zatwarnicka
Keyword(s):  
Information Systems ◽  
Double Layer ◽  
Human Activity ◽  
Cloud Systems ◽  
Distribution Strategy ◽  
Request Distribution ◽  
Fuzzy Neural ◽  
The Web ◽  
Layer Cloud ◽  
Web Systems

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.

Efficient support for content-aware request distribution and persistent connection in Web clusters

2007 ◽  
Vol 37 (11) ◽  
pp. 1215-1241 ◽  
Author(s):  
Ho-Han Liu ◽  
Mei-Ling Chiang ◽  
Men-Chao Wu
Keyword(s):  
Request Distribution ◽  
Web Clusters ◽  
Content Aware

An Evaluation Method of Combat Service Operation Performance for Surface-to-Air Missile Based on FNN

2013 ◽  
Vol 756-759 ◽  
pp. 3640-3646
Author(s):  
Gang Li ◽  
Da Peng Li ◽  
Yan Yan Zhou ◽  
Lin Wei Xu ◽  
Ji Feng He
Keyword(s):  
Performance Evaluation ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Service Performance ◽  
Evaluation Index System ◽  
Operation Performance ◽  
Air Defense ◽  
Service Operation ◽  
Fuzzy Neural ◽  
Evaluating Method

Firstly, the implication and purpose of the Combat Service Performance Evaluation for Air Defense Missile was elaborated in this paper. Then the Fuzzy Neural Network (FNN) Evaluating Method was put forward to apply to the combat service performance evaluation. Secondly, an evaluation index system was built on the basis of the characteristics of the combat service operator and the combat service process. At last, the correctness and validity were approved though the simulation results.

scholarly journals Research on performance Evaluation method to promote sustainable development of opening government affairs

2021 ◽  
Vol 251 ◽  
pp. 02097
Author(s):  
Mingle Zhou ◽  
Shengli Cao ◽  
Ran Wang ◽  
Yu Wang
Keyword(s):  
Neural Network ◽  
Sustainable Development ◽  
Performance Evaluation ◽  
Performance Management ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Governance System ◽  
The Sustainable Development ◽  
Fuzzy Neural ◽  
Performance Evaluation Method

Open government affairs (OGA) play an important role in promoting national governance system and capacity. In order to realize an open and efficient government, it is necessary to scientifically evaluate the performance of government. The effect of OGA can be improved continuously through the feedback from evaluation, which is beneficial for the sustainable development of OGA. However, with the continuous development of OGA, the existing methods of evaluation are faced with such problems as poor-timeliness, high-cost and subjective uncertainty, which are difficult to satisfy the demands of performance evaluation of OGA. Therefore, this paper puts forward a performance evaluation method based on T-S fuzzy neural network. Our method has a strong ability of data processing, which can simplify the work flow. The T-S fuzzy neural network was trained and tested through using the performance evaluation data of all districts and counties in Shandong Province, China. Finally, the evaluation results offered by our method are highly accurate. Hence, our method is suitable for the performance evaluation of OGA, it can continuously enhance the improvement of government’s performance management and capacity building so as to promote the sustainable development of OGA.

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