Performance Monitoring and Dynamic Scaling Algorithm for Queue Based Internet of Things

Abstract

It has developed over the last four decades, becoming an essential component of distributed systems. At its inception, it was designed to simplify application development by running on top of the operating system. It evolved into a tool for integrating data and applications across old and new systems, such as the usual object request broker architecture. The next step was to remove the application’s knowledge of a resource’s position on the network. As time went on, it became an important part of every distributed system and application out there. Service-oriented architectures (SOA), grid computing and utility computing are examples of SOAs that have been implemented in a wide range of applications. The performance and scalability of the IoT system are the focus of this article. We begin by providing a short history of queueing theory topics that are pertinent to our study. An evaluation of the scalability function suggested for IoT middleware is carried out via simulations of major performance and scalability characteristics.