Functional Augmented State Transfer (FAST) Architecture for Computationally Intensive Network Applications

TL;DR

The paper introduces FAST, a new architecture that enhances RESTful web services with functional programming to better support scalable, data-intensive network applications like analytics and financial calculations.

Contribution

It presents a novel architecture combining REST and functional programming to efficiently handle computationally intensive network applications.

Findings

Supports scalable data analysis and financial calculations

Improves REST architecture for data management applications

Suitable for computationally demanding web services

Abstract

We describe a novel architecture that combines the simplicity of RESTful architecture with the power of functional programming for delivering web-services. Although, RESTful architecture has been quite useful in simplifying the development of scalable systems, it is not suited for all types of network applications. Our architecture improves upon the RESTful architecture to provide scalable framework for computationally intensive network applications. The proposed architecture is ideal for applications that involve data management and data analysis/calculations on data. Data analytics and financial calculations are two areas where the architecture can be applied efficiently.