An Analysis of Impact of Metadata Image, Video and PDF in Web Applications Using Performance Testing

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Anil Sharma, Vijay Gupta

Abstract


Search engine optimization (SEO), social media integration, and content organization by web applications need the right metadata. Use of excessive metadata (especially for images, videos and PDF files) mean bad performance for a website. This paper uses Apache JMeter performance testing tools to look at the impact of different levels of metadata on web application performance. Three scenarios: minimal, moderate and heavy metadata are tested. The metadata includes standard HTML tags for text content as well as additional metadata for images (<meta property="og:image">), videos (<meta property="og:video">), and PDF files (<link rel="pdf" href="file.pdf">). Performance metrics such as page load time, response time, and throughput are measured. Heavy use of metadata especially for media, the load times are longer and server throughput decreases strikingly. Applications are trying to balance the needs of SEO with better performance so this study provides a framework by which software developers can evaluate and enhance their efforts.

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