Serverless PWAs: Reducing Backend Load with Cloud Functions and Edge Computing
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V3I2P105Keywords:
Serverless computing, Edge computing, Progressive Web Applications, Backend load reduction, Cloud functions, OpenFaaS, AWS Lambda, Edge nodesAbstract
PWAs have been adopted widely due to their performance, the feel, and accessibility that come with web apps and the installation of web apps. However, their use expands; a backend sprawling appears insufficient to respond to consumer desire, productivity stutters, and the cost of operations rises. This paper focuses on incorporating serverless computation and edge computation to decrease the backend burden and improve the responsiveness of PWAs. Serverless computing in the form of Function as a Service is a system where developers can execute backend code without dealing with the concerns related to servers and infrastructures and additionally provides auto-scaling and cost-effectiveness through services such as AWS Lambda, Firebase Functions, and Azure Functions. When integrated with Edge Computing, according to which the computational process is also partial and exists as geographically dispersed nodes, the overall setup provides the necessary characteristics of low latency, high reliability, and scalability. This work identifies how cloud functions can carry the API logic and business rules and how the nodes control data caching, real-time analysis, and pre-processing. An implementation model is described on the Raspberry Pi edge cluster using OpenFaaS, AWS, and AZURE cloud services. The results of experiments with mixed workloads show lower response time, lower costs, and lower load on the origin server. Thus, the integration of serverless edges increases the scalability and performance of PWAs while solving the issues that can be met in traditional backend systems and architectures
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