Abstract
Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number of services have been attached to cloud platforms and widely utilized during a very short period of time. This is due to the COVID-19 lockdowns, which forced several businesses to switch to online services instantly. Several cloud platforms have failed to support adequate services, especially for extended and real-time-based applications. Early testing of the available platforms guarantees a level of suitability and reliability for the uploaded services. In this work, we first selected two different API-based applications from education and professional taxonomies, the two most recently used applications that have switched to the cloud environment. Then, we aimed to evaluate the performance of different API-based applications under different cloud platforms, in order to measure and validate the ability of these platforms to support these services. The advantages and drawbacks of each platform were experimentally investigated for each application.
Highlights
The experimental analysis of the results considered four sets of comparisons, in order to provide a platform to construct a methodology to effectively compare the performance of cloud-Application Programming Interfaces (APIs)-based applications and support deployment decisions with technical arguments
We introduce a performance evaluation study that aims to assess different cloud computing platforms for different API-based application categories
The four performance metrics were measured for both applications on the two different investigated cloud platforms
Summary
The performance evaluation of different API-based applications uploaded to cloud platforms is an important issue It assists in selecting the right and suitable platform to run newly developed services and applications. An experimental comparison of the performance of the API-based applications under the Amazon AWS EC2 and Microsoft Azure platforms in terms of response time, latency, processing time, and throughput is presented in this work. These experiments were performed with several users. The experimental analysis of the results considered four sets of comparisons, in order to provide a platform to construct a methodology to effectively compare the performance of cloud-API-based applications and support deployment decisions with technical arguments.
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