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Journal articles on the topic 'Performance web'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

Latif, Hanif Abdul, Dwiwiyati Astogini, and Sumarsono Sumarsono. "VARIABEL ANTESEDEN KEPUASAN DAN PENGARUHNYA TERHADAP LOYALITAS KONSUMEN." Performance 23, no. 2 (2017): 28. http://dx.doi.org/10.20884/1.performance.2016.23.2.276.

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The purpose this study to identify and analyze the effect antecedent variable of satisfaction that is web design, web navigation, costumized preview, website quality, service quality, and perceived value to consumer loyalty of Lazada.co.id. The sample in this study there were 155 respondents who are consumers of Lazada.co.id in Jakarta region. Convenience sampling method used in the determination of the sample. Data was analyzed using Equational Structural Modeling (SEM). These results indicate web design has no effect on web quality, web navigation has positive effect on web quality, customiz

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2

Huang, Ming-Hui. "Web performance scale." Information & Management 42, no. 6 (2005): 841–52. http://dx.doi.org/10.1016/j.im.2004.06.003.

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3

Souders, Steve. "High-performance web sites." Communications of the ACM 51, no. 12 (2008): 36–41. http://dx.doi.org/10.1145/1409360.1409374.

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4

Menascé, Daniel A. "Web Performance Modeling Issues." International Journal of High Performance Computing Applications 14, no. 4 (2000): 292–303. http://dx.doi.org/10.1177/109434200001400402.

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5

Souders, Steve. "High Performance Web Sites." Queue 6, no. 6 (2008): 30–37. http://dx.doi.org/10.1145/1466443.1466450.

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6

Squillante, Mark S., David D. Yao, and Li Zhang. "Web traffic modeling and Web server performance analysis." ACM SIGMETRICS Performance Evaluation Review 27, no. 3 (1999): 24–27. http://dx.doi.org/10.1145/340242.340323.

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7

Kothari, Bhupesh, and Mark Claypool. "Dynamic Web pages: performance impact on Web servers." Internet Research 11, no. 1 (2001): 18–25. http://dx.doi.org/10.1108/10662240110365670.

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8

Saeed, Mozamel M. "The Impact of WAF on Web Application Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (2020): 620–24. http://dx.doi.org/10.5373/jardcs/v12sp8/20202563.

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9

Saraswati, I., S. Praptodiyono, A. S. Pramudyo, and Kurniawan. "Increasing web server performance using the web balancing method." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012065. http://dx.doi.org/10.1088/1757-899x/673/1/012065.

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10

Eyzenakh, Denis, Anton Rameykov, and Igor Nikiforov. "High Performance Distributed Web-Scraper." Proceedings of the Institute for System Programming of the RAS 33, no. 3 (2021): 87–100. http://dx.doi.org/10.15514/ispras-2021-33(3)-7.

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Over the past decade, the Internet has become the gigantic and richest source of data. The data is used for the extraction of knowledge by performing machine leaning analysis. In order to perform data mining of the web-information, the data should be extracted from the source and placed on analytical storage. This is the ETL-process. Different web-sources have different ways to access their data: either API over HTTP protocol or HTML source code parsing. The article is devoted to the approach of high-performance data extraction from sources that do not provide an API to access the data. Distin

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Bititci, U. S., S. S. Nudurupati, T. J. Turner, and S. Creighton. "Web enabled performance measurement systems." International Journal of Operations & Production Management 22, no. 11 (2002): 1273–87. http://dx.doi.org/10.1108/01443570210450310.

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12

Whitworth, Brian, Jerry Fjermestad, and Edward Mahinda. "The web of system performance." Communications of the ACM 49, no. 5 (2006): 92–99. http://dx.doi.org/10.1145/1125944.1125947.

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13

Alnatheer, Mohammed A. "Secure Socket Layer (SSL) Impact on Web Server Performance." Journal of Advances in Computer Networks 2, no. 3 (2014): 211–17. http://dx.doi.org/10.7763/jacn.2014.v2.114.

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14

Manishkumar Dave Amit, Deep. "Performance Testing: Methodology for Determining Scalability of Web Systems." International Journal of Science and Research (IJSR) 13, no. 1 (2024): 1254–61. http://dx.doi.org/10.21275/sr24121010827.

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15

Liu, Chen-Chung, Gwo-Dong Chen, Chin-Yeh Wang, and Ching-Fang Lu. "Student Performance Assessment Using Bayesian Network and Web Portfolios." Journal of Educational Computing Research 27, no. 4 (2002): 437–69. http://dx.doi.org/10.2190/el2a-tqf1-pyvm-n51v.

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Web-based curriculum development allows students to develop their learning portfolio and interact with peers on a Web learning system. This system contains Web portfolios that record in detail students' learning activities, peer interaction, and knowledge progress. However, teachers cannot easily diagnose students' learning processes and regulate effective strategies according to student activity performance without the model of activity performance on Web learning systems. This study proposes a novel methodology that employs Bayesian network software to assist teachers in efficiently deriving

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16

Kim, Chul-Ho, Kyeong-Won Park, and Yong-Lak Choi. "Web Service Performance Improvement with the Redis." Journal of the Korea Institute of Information and Communication Engineering 19, no. 9 (2015): 2064–72. http://dx.doi.org/10.6109/jkiice.2015.19.9.2064.

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17

Zhou, Junzan, Yun Zhang, Bo Zhou, and Shanping Li. "Predicting web page performance level based on web page characteristics." International Journal of Web Engineering and Technology 10, no. 2 (2015): 152. http://dx.doi.org/10.1504/ijwet.2015.072338.

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18

Guerrero, Carlos, Carlos Juiz, and Ramon Puigjaner. "Web performance engineering based on ontological languages and semantic web." International Journal of Computer Applications in Technology 33, no. 4 (2008): 300. http://dx.doi.org/10.1504/ijcat.2008.022426.

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19

Mission, Roger. "Web Service Performance Analysis using the GTMetrix Web Monitoring Tool." Journal of Innovative Technology Convergence 3, no. 1 (2021): 1–8. http://dx.doi.org/10.69478/jitc2021v3n1a01.

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In this paper, delivering a high-level Quality of Service (QoS) has emerged as one of the top priorities for any web service provider as a result of the increasing use of the Internet. With the support of a performance monitoring tool, many factors affecting the performance of web services are examined. Different web services are routinely monitored to determine the different factors that affect their ability to provide services to an enormous number of users. The performance evaluation parameter used is the web service's load time. When the same web service is monitored at various times, the

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20

Shihab, Luay Abdulwahid. "Study and Evaluation of Wireless Sensor Networks Performance." Webology 19, no. 1 (2022): 2587–604. http://dx.doi.org/10.14704/web/v19i1/web19172.

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This project analyses vehicle behavior from measurements of air pollutants (CO2) sound pollution levels, measured in ppm and decibels respectively. Such measurements are taken by a wireless sensor network mounted in the Baghdad Dora Express way, Iraq. Four sensor nodes and a coordinator form the wireless network based on the Zig bee norm. The sensor nodes wirelessly send the data to the coordinator, who displays the actions defined by the measurement curves through a graphic interface built in JAVA and store the data on a MySQL web server. The analysis of vehicle behavior considers noise level

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21

Sundram, Suja, Dr Ramesh Kumar V., Dr Binith Muthukrishnan K., Dr Mohd Naved, Dr Rakesh Dani, and Dr Eti Khatri. "The Impact of Entertainment Amenities Availability on Hotel's Performance." Webology 19, no. 1 (2022): 3989–4005. http://dx.doi.org/10.14704/web/v19i1/web19263.

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Hospitality should recognize various practices to enable itself, some of which may be the entertainment and installations that run a magical atmosphere to inspire individuals internally and externally by giving a successful service and joyous experience to increasing and improving this sector in resorts. These companies are vulnerable since they purchase commodities, rely on more than tangibles intangible goods and influence may be literally by some dispute or problem such as workers, clients, inventions, or culture, which interconnects these components. The hospitality field includes restaura

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22

G., Garima, Kavita D., and Aarti Shahapurkar. "Performance Evaluation of Composed Web Services." International Journal of Computer Applications 171, no. 4 (2017): 23–26. http://dx.doi.org/10.5120/ijca2017915019.

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23

Mokdad, Lynda, Jalel Ben Othman, and Abdelkrim Abdelli. "Performance evaluation of composite Web services." EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 2, no. 4 (2015): e4. http://dx.doi.org/10.4108/inis.2.4.e4.

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24

Mohan Reddy, Ch Ram, Evangelin Geetha, Srinivasa, Suresh Kumar, and Rajani Kanth. "Early performance prediction of web services." International Journal on Web Service Computing 2, no. 3 (2011): 31–41. http://dx.doi.org/10.5121/ijwsc.2011.2303.

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25

Sobh, Tarek S., and Medhat Fakhry. "Evaluating Web Services Functionality and Performance." International Journal of Information Technology and Computer Science 6, no. 5 (2014): 18–27. http://dx.doi.org/10.5815/ijitcs.2014.05.03.

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26

Lu, Jijun, and Swapna S. Gokhale. "Performance Analysis of a Web Server." International Journal of Information Technology and Web Engineering 3, no. 3 (2008): 50–65. http://dx.doi.org/10.4018/jitwe.2008070104.

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27

Calegari, Patrice, Marc Levrier, and Paweł Balczyński. "Web Portals for High-performance Computing." ACM Transactions on the Web 13, no. 1 (2019): 1–36. http://dx.doi.org/10.1145/3197385.

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28

Bello Bada, Abubakar. "PERFORMANCE OPTIMIZATION OF WEB-BASED APPLICATION." International Journal of Computer Science Engineering 10, no. 2 (2021): 39–45. http://dx.doi.org/10.21817/ijcsenet/2021/v10i2/211002005.

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Web-based applications have become the new way for people to interact, be it work or business. Users always expect a fast response from the applications. The performance of web-based applications has always been a critical non-functional requirement. A better performing web-based system leads to better user experience which leads to repeated visits and in turn more revenues. Performance problems can bring all kinds of undesired consequences like bad reputation, loss of revenue and low productivity especially in an e-commerce system. Recent advancement leads to mobile device proliferation, incr

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29

Iyengar, Arun, and Daniela Rosu. "Architecting Web Sites for High Performance." Scientific Programming 10, no. 1 (2002): 75–89. http://dx.doi.org/10.1155/2002/854369.

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Web site applications are some of the most challenging high-performance applications currently being developed and deployed. The challenges emerge from the specific combination of high variability in workload characteristics and of high performance demands regarding the service level, scalability, availability, and costs. In recent years, a large body of research has addressed the Web site application domain, and a host of innovative software and hardware solutions have been proposed and deployed. This paper is an overview of recent solutions concerning the architectures and the software infra

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30

Iyengar, A., J. Challenger, D. Dias, and P. Dantzig. "High performance Web site design techniques." IEEE Internet Computing 4, no. 2 (2000): 17–26. http://dx.doi.org/10.1109/4236.832942.

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31

Domènech, Josep, José A. Gil, Julio Sahuquillo, and Ana Pont. "Web prefetching performance metrics: A survey." Performance Evaluation 63, no. 9-10 (2006): 988–1004. http://dx.doi.org/10.1016/j.peva.2005.11.001.

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32

Coarfa, Cristian, Peter Druschel, and Dan S. Wallach. "Performance analysis of TLS Web servers." ACM Transactions on Computer Systems 24, no. 1 (2006): 39–69. http://dx.doi.org/10.1145/1124153.1124155.

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33

Apte, Varsha, Tony Hansen, and Paul Reeser. "Performance comparison of dynamic web platforms." Computer Communications 26, no. 8 (2003): 888–98. http://dx.doi.org/10.1016/s0140-3664(02)00221-9.

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34

Hölttä, Vesa, and Heikki Koivo. "Performance metrics for web-forming processes." Journal of Process Control 21, no. 6 (2011): 885–92. http://dx.doi.org/10.1016/j.jprocont.2011.03.008.

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35

Bai, Guangwei, Kehinde Oladosu, and Carey Williamson. "Performance benchmarking of wireless Web servers." Ad Hoc Networks 5, no. 3 (2007): 392–412. http://dx.doi.org/10.1016/j.adhoc.2006.01.001.

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36

Tian, M., T. Voigt, T. Naumowicz, H. Ritter, and J. Schiller. "Performance considerations for mobile web services." Computer Communications 27, no. 11 (2004): 1097–105. http://dx.doi.org/10.1016/j.comcom.2004.01.015.

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37

Mustafa, A. Syed. "Performance Evaluation of Web-Services Classification." Indian Journal of Science and Technology 7, no. 10 (2014): 1674–81. http://dx.doi.org/10.17485/ijst/2014/v7i10.24.

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38

Vilas, Julio Fernández, Jose J. Pazos Arias, and Ana Fernández Vilas. "Optimizing Web Services Performance Using Cache." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 5 (2006): 713–20. http://dx.doi.org/10.20965/jaciii.2006.p0713.

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Due to the complex infrastructure of web applications (using application servers, web servers, database servers, etc.) response times perceived by clients can be significantly larger than they would like. The same can be applied to web services that have been implemented using the same web technology. On the other side, repeated invocations to the same “read-only” web service with the same request data may often produce the same response from the provider, what can be considered a useless work. In the search for a performance improvement, we propose a cache-based extension to the architecture

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39

Huizingh, Eelko K. R. E. "The antecedents of Web site performance." European Journal of Marketing 36, no. 11/12 (2002): 1225–47. http://dx.doi.org/10.1108/03090560210445155.

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40

Rousskov, Alex, and Duane Wessels. "High-performance benchmarking with Web Polygraph." Software: Practice and Experience 34, no. 2 (2004): 187–211. http://dx.doi.org/10.1002/spe.576.

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41

Aula, Anne, and Klaus Nordhausen. "Modeling successful performance in Web searching." Journal of the American Society for Information Science and Technology 57, no. 12 (2006): 1678–93. http://dx.doi.org/10.1002/asi.20340.

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42

Hasebrook, Joachim. "Web-based training, performance and controlling." Journal of Network and Computer Applications 22, no. 1 (1999): 51–64. http://dx.doi.org/10.1006/jnca.1999.0081.

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43

ILEANA, Marian. "Optimizing Performance of Distributed Web Systems." Informatica Economica 27, no. 4/2023 (2023): 78–87. http://dx.doi.org/10.24818/issn14531305/27.4.2023.06.

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44

AbdulNabi, Sk. "Effective Performance of Information Retrieval on Web by Using Web Crawling." International journal of Web & Semantic Technology 3, no. 2 (2012): 63–72. http://dx.doi.org/10.5121/ijwest.2012.3205.

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45

Kim, Yong-Tae, Gil-Cheol Park, Seok-Soo Kim, and Sang-Ho Lee. "Performance Enhancing of Web service by Simplifying Architecture in Web 2.0." KIPS Transactions:PartD 14D, no. 4 (2007): 421–26. http://dx.doi.org/10.3745/kipstd.2007.14-d.3.421.

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46

Rathod, Digvijaysinh. "PERFORMANCE EVALUATION OF RESTFUL WEB SERVICES AND SOAP / WSDL WEB SERVICES." International Journal of Advanced Research in Computer Science 8, no. 7 (2017): 415–20. http://dx.doi.org/10.26483/ijarcs.v8i7.4349.

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47

Guerrero, Carlos, Isaac Lera, and Carlos Juiz. "Performance improvement of web caching in Web 2.0 via knowledge discovery." Journal of Systems and Software 86, no. 12 (2013): 2970–80. http://dx.doi.org/10.1016/j.jss.2013.04.060.

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48

Ningrum, Endah Prawesti, and Regina Jansen Arsyah. "Effect of Intellectual Capital on Organizational Performance Moderated by Cultural." Webology 19, no. 1 (2022): 1815–23. http://dx.doi.org/10.14704/web/v19i1/web19121.

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This study analyzes Organizational Performance which is the influenced by intellectual Capital moderated by culture. The method used in this research is by surveying and distributing questionnaires based on the time horizon using a cross section study. The population manufacturing companies in MM2100 area using convenience sampling. Regression analysis and inferential statistics, descriptive statistics is used by data analysis technique. The intellectual shows positive and significant impact on organizational performance and cultural as a moderating effect in this results. This research imply

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49

Mahadipta, Ngurah Gede Dwi, Made Suyana Utama, I. Gusti Wayan Murjana Yasa, and Ni Putu Wiwin Setyari. "The Analysis of Craft SMEs Performance and Prosperity in Denpasar." Webology 19, no. 1 (2022): 3586–600. http://dx.doi.org/10.14704/web/v19i1/web19237.

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The purpose of economic development is to improve people's prosperity. National economic growth is largely determined by the dynamics of regional economy, while regional economy is generally supported by MSME-scale of economic activities, one of them is the sector of handicraft. The empowerment of MSMEs is aimed at making prosperous lives of MSME subject. To obtain a prosperous life, small and medium enterprises in Denpasar have many limitations, therefore this business has not been able to be optimally developed, especially during COVID-19 pandemic. The purpose of this research is to analyze

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50

Shailesh, K. S., and P. V. Suresh. "Performance Driven Development Framework for Web Applications." Global Journal of Enterprise Information System 9, no. 1 (2017): 75. http://dx.doi.org/10.18311/gjeis/2017/15870.

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The performance of web applications is of paramount importance as it can impact end-user experience and the business revenue. Web Performance Optimization (WPO) deals with front-end performance engineering. Web performance would impact customer loyalty, SEO, web search ranking, SEO, site traffic, repeat visitors and overall online revenue. In this paper we have conducted the survey of state of the art tools, techniques, methodologies of various aspects of web performance optimization. We have identified key web performance patterns and proposed novel web performance driven development framewor

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