Getting Started with Web Performance Optimization

2020 ◽  
pp. 3-25
Author(s):  
Shailesh Kumar Shivakumar
Keyword(s):  
Performance Optimization ◽  
Web Performance

Performance Driven Development Framework for Web Applications

2017 ◽  
Vol 9 (1) ◽  
pp. 75
Author(s):  
K. S. Shailesh ◽  
P. V. Suresh
Keyword(s):  
Customer Loyalty ◽  
Performance Optimization ◽  
Web Search ◽  
Web Applications ◽  
State Of The Art ◽  
End User ◽  
Web Performance ◽  
Performance Engineering ◽  
Development Framework ◽  
Performance Patterns

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 framework. We have elaborated on various techniques related to different phases of web performance driven development framework.

scholarly journals Web Performance Optimization Techniques for Biodiversity Resource Portal

2019 ◽  
Vol 1230 ◽  
pp. 012011
Author(s):  
Edy Budiman ◽  
Novianti Puspitasari ◽  
Masna Wati ◽  
Joan Angelina Widians ◽  
Haviluddin
Keyword(s):  
Performance Optimization ◽  
Optimization Techniques ◽  
Web Performance ◽  
Biodiversity Resource

Modern Web Performance Optimization

2020 ◽  
Author(s):  
Shailesh Kumar Shivakumar
Keyword(s):  
Performance Optimization ◽  
Web Performance

scholarly journals Bioinformatics Database Query Performance and Optimization

2020 ◽  
Vol 9 (3) ◽  
pp. 581-588
Keyword(s):  
Performance Optimization ◽  
Performance Test ◽  
Critical Element ◽  
Test Scenario ◽  
Web Performance ◽  
Query Performance ◽  
Post Test ◽  
Efficiency Performance ◽  
Relation Model ◽  
Optimization Methodology

Borneo bioinformatics portal test is a critical element of SQA and represents a comprehensive review of specifications, design and coding. The test represents an abnormality in the development of the portal. A series of tests systematically reveals several different types of errors. This study aims to evaluate the performance and optimization of Borneo's Bioinformatics portal with a series test activities using the Web Performance Optimization methodology. Testing query performance with measuring the response time and page loading timings from the object relationship mapping (ORM) model Laravel PHP framework in offline and online. For optimization, we set a pre-test and post-test scenario to evaluate the efficiency performance test results. The results study found that the query relation model, parsing script (javaScript and CSS), service scale and dimension images in the interaction process to the database are the dominant resources affecting the performance of the Bioinformatics portal. Performance optimization through determining the appropriate query relation model, minify and defer parsing script or combine images using CSS sprites to reduce scala image.

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