Web Application Performance Analysis Assignment Answer

Abstract

 The results of the JMeter investigation of the Blazedemo web app under load reveal a variety of performance issues. Launch of Application and Finding flight reaction times were unacceptably slow as load increased. A rise in error rates suggests that the web server is struggling to keep up with demand.

Blazedemo's web application performance may be optimized in several ways, including via the use of caching, compression, and load balancing. It is possible to improve the application's code to reduce the number of server requests and so increase processing performance.

These findings highlight the need of doing extensive performance testing and optimization on web applications to ensure their robustness under high loads and the quality of service provided to end users. The Blazedemo web app may be optimized by its developers to provide a better user experience and reduce user abandonment with the implementation of the recommended changes.

Introduction

Web apps have become more important to our everyday lives in the modern digital era. Web apps are essential for many aspects of modern life, including online commerce, social networking, and information retrieval. But web application speed is a major issue since it affects customer happiness and retention.

Complex elements such as web server performance, proxy location, and cluster load balancing all contribute to overall website speed. The user experience of a web application might be negatively affected by these aspects due to its slowness and unresponsiveness.

In this research, we examine the functionality of the widely-used flight-reservation online application Blazedemo. We ran load tests on the Blazedemo app using JMeter to see where it was slowing down. Web server performance, web proxy placement, and web cluster load balancing were the primary topics of investigation (Abbas et al, 2017). We looked at reaction time, throughput, and error rate among other performance indicators to pinpoint problem spots.

The findings of our research revealed that the Blazedemo application suffered from several performance difficulties that should be fixed. We were able to dramatically boost the application's performance by optimizing web server performance, analyzing web proxy placement, and fixing load balancing problems in the web cluster.

In conclusion, our research emphasizes the significance of web performance while creating online applications. Developers may boost satisfaction levels and commercial success by making their products run as smoothly and interestingly as possible.

Literature Review

Web application development is a vital factor that has a direct influence on user experience and engagement, and its importance cannot be overstated. In this paper, we will evaluate the existing literature on the topics of measuring and analyzing web server performance, deciding where to put a web proxy, and balancing the load on a web cluster.

In order to pinpoint performance bottlenecks and enhance web application performance, it is essential to monitor and analyze web server performance. Response time, throughput, and error rate are just some of the web server performance metrics that have been simulated and measured with the help of tools like JMeter, Apache Bench, and Siege. Researchers have made use of these instruments to assess the efficiency of websites and pinpoint slow spots. The effects of proxy server placement in a distributed setting on web application speed (Jha  & Popli 2017). The study looked at the impact of proxy server placement on distributed web application performance.

The researchers ran their tests in a web server-client network configuration. The performance of the web app was evaluated by simulating user actions using Apache JMeter(Abbas et al, 2017). The research examined the web application's performance with and without proxy servers located near the customers.

The research shows that the performance of online applications was much enhanced by locating proxy servers in close proximity to the end users. Both the response time and throughput of the web application were shown to increase when proxy servers were located closer to the customers, according to the study. Researchers found that quicker data transfer was possible due to a decrease in network latency between clients and proxy servers. The research also suggested utilizing a load-balancing method to share the workload amongst many proxies (Wang & Wu, 2019). Distributing requests equally among the proxy servers were found to be helpful by the researchers, who discovered that doing so reduced the stress on individual servers and enhanced the performance of the web application as a whole.

Useful information on where to put web proxy servers in a decentralized network. According to the results of the research, minimizing network latency in web applications may be accomplished by strategically positioning proxy servers in close proximity to end users (Hendayun et al, 2023). To further enhance web application performance by lowering strain on individual servers, the research suggests utilizing load-balancing techniques to disperse requests throughout proxy servers.

Developers may boost user happiness and commercial success by optimizing the location of proxy servers and employing load-balancing algorithms to provide a seamless and interesting experience for users.    Distributing the load equally among servers in a web cluster is impossible without load balancing. Prior research has looked deeply into load-balancing topics such as server health monitoring, session persistence, and load-balancing algorithms.

The performance of a web cluster was shown to be highly dependent on the load-balancing technique used. The study authors suggested adopting an algorithm for dynamic load balancing that would modify the load distribution depending on the amount of available server resources.

In conclusion, web application performance is critical and is affected by several things. Prior studies examined topics including measuring and analyzing web server performance, where to put a web proxy, and how to balance the demand on a web cluster. Scientists have measured web server performance indicators and identified bottlenecks with the use of technologies like JMeter, Apache Bench, and Siege. Researchers have examined where web proxy servers should be located and advocated for the use of load-balancing techniques to disperse requests over many proxy servers (Shrivastava & Prapulla, 2020). Dynamic load-balancing techniques that modify load distribution depending on server utilization have also been advocated by researchers after significant studies of load-balancing concerns such as monitoring server health, session persistence, and load-balancing algorithms.

Metholdology

In this research, we use JMeter for load testing and analyze the results to get insight into the performance of a web application named Blazedemo. To enhance the functionality of the Blazedemo application, we examine web server performance, web proxy placement, and web cluster load balancing concerns. We utilized JMeter to mimic user actions and collect data on performance indicators including response time, throughput, and error rate in order to evaluate Blazedemo. Slow requests and other speed problems were discovered by inspecting web server records. We looked at how different locations and network topologies affected the optimal placement of web proxy servers. We also fixed the web cluster's load balancing by keeping an eye on the servers, making sure the sessions stick around, and picking the optimal load-balancing method.

We conducted three tests—"Launch of Application," "Choosing flights," and "Find a flight"—to evaluate Blazedemo's functionality. Simulated user behavior

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