Download View publication Copy reference Copy caption Embed figure Comparison of Apache JMeter, Locust and HULK Analyzer in testing on parameter of execution time in seconds Source publication A Pragmatic Evaluation of Stress and Performance Testing Technologies for Web Based Applications Conference Paper Full-text available Feb 2019 S Pradeep Dr.

Yogesh Kumar Sharma Cite Download full-text Similar publications Formation of out-of-plane film micro arch by methods of technological control of internal stress Article Full-text available Dec 2019 Y.

Enns R. Kleimanov View Citations.

Some bug tracking systems lack the ability to preserve the previous bugs 4..

BUGVILLA: Calibrating Bug Reports with Correlated Developers, Tracking Bug Reports, and Performance Analysis Chapter Full-text available Jan 2021 Gudapati Syam Prasad D.

Kiran G. Sreeram View.

Siege is an open source regression test and benchmark utility 3233 34.

Siege is configured to read many URLs into memory and simultaneously stress the system..

Internet-offline solution: detail description and benchmarking Article Full-text available Aug 2020 Onno W.

Purbo View. There are various aspects or tools used to do load and stress testing such as Apache, Jmeter, Selenium, Cucumber, Appium, TestNG and many more.

LOAD TESTING ANALYZER FOR WEB APPLICATION Article May 2020 Shivangi Kaushal View.

The tool used in the experiments was Apache JMeter, which is an Open-Source Tool used by testing engineers for the load testing, performance testing, and functional behavior of the web applications (Pradeep and Sharma 2019).

In this context, the Brazilian Ministry of Health pointed out the need for interoperability solutions of health information systems, noting the importance of integration with national databases and alignment with Brazilian data protection laws.

Therefore, this paper presents Sabi, a platform for authentication, authorization, and data delivery based on user consent for health information systems in Brazil.Methods.

Sabis architecture is designed to achieve the following requirements: (R1) Provide a Federated Identity; (R2) Be a Federated Resource Manager; (R3) Collect user data from different information systems; and (R4) Deliver user data to systems based on user consent.

Sabi consists of three main components: (1) Sabi Authorization Server, responsible for implementing Open Authentication; (2) Sabi Collector, responsible for collecting data from different information systems; and (3) Sabi Resource Server, responsible for delivering data previously authorized by the user to the systems.ResultsAfter analyzing historical data, R4 functionality was selected to be submitted to performance testing because it is the process that most affects overall system performance.

The tests aimed at analyzing Sabis behavior in the heaviest scenario based on historical data.Conclusion.

The results showed no flaws and indicated system stability and consistency, in which the user perceives a system reaction instantaneous, whose response time averages remained below 100 ms.

View Performance comparison of programming languages for Internet of Things middleware Article Feb 2020 Lucas R.

Abbade Mauro A. A.

Cruz Joel J. P. C.

Rodrigues Pascal Lorenz Jalal Al-Muhtadi The rapid spread of Internet of Things (IoT) devices in recent years has driven the creation of a number of IoT middleware for enabling communication between devices using different standards and technologies.

Such middleware facilitates the development of IoT solutions, allowing the developer to handle data and devices through middleware without the need to understand and communicate with each device individually.

Although some studies present the performance of middleware solutions, they do not consider the effect of the underlying programming language in the overall performance of the solution.

This paper replicates a common middleware use case in three different programming languages, evaluates their comparative performance, and discusses the results found.

In the studied use case, Javascript presents better performance for small to medium applications, while, globally, Java demonstrates to be the most robust choice for IoT middleware.

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