A horizontally-scalable multiprocessing platform based on Node.js

TL;DR

This paper introduces Node Scala, a scalable, web-based multiprocessing platform built on Node.js that efficiently handles distributed requests and improves performance for data visualization applications.

Contribution

The paper presents a novel scalable platform, Node Scala, which enhances resource utilization and simplifies scaling in distributed request handling systems.

Findings

Achieved up to 74% performance improvement over existing methods

Demonstrated effective handling of climate data visualization tasks

Showed scalable architecture with easy addition of workers

Abstract

This paper presents a scalable web-based platform called Node Scala which allows to split and handle requests on a parallel distributed system according to pre-defined use cases. We applied this platform to a client application that visualizes climate data stored in a NoSQL database MongoDB. The design of Node Scala leads to efficient usage of available computing resources in addition to allowing the system to scale simply by adding new workers. Performance evaluation of Node Scala demonstrated a gain of up to 74 % compared to the state-of-the-art techniques.