Journal of Information Technology & Software Engineering
Open Access

Abstract

Brooks-Iyengars Real-Time Sensing Algorithm for Future

Latesh Kumar KJ

The article primarily benevolences a two-decade longstanding and most influential Brooks Iyengar’s Hybrid algorithm known as Robust Distributed Computing and Sensing Algorithm. The algorithm has established a foundation mark across various real time operating systems, application areas and fault tolerant schemes. The crucial contribution of the algorithm is majorly found in enhancing the features of MINIX real-time operating system, the hybrid architecture and scalability of the algorithm is proficient enough to encounter the unreliable and distributed sensors data using the Byzantine agreement and distributed decision-making process methods. This article emphasises on inclusion and adoption of most persuasive long running Brooks Iyengar’s algorithm in MINIX real-time operating system and their recent enhancement of incorporating the fault tolerant schemes. Further, the richness of algorithm has acclaimed by millions of vivid category of users around the globe in their research and tasks. Most significantly the algorithm is beneficial to DARPA, Open Source - Linux, IT Industry - Bae Systems and BBN technologies, Academics – Universities of Maryland, Georgia Tech, Purdue, Clemson and Wisconsin etc., and Research Labs like Penn State Applied Research Lab (ARL), USC/ISI. Additionally, the scalability of algorithm proved to be beneficial to other domains like cyber physical systems, robot merging, high-performance computing, reliability of software and hardware appliance and artificial intelligence systems. In this paper, we attempt to showcase the use cases and real-time deployments of Brooks-Iyengar algorithm in various aspects of physical world. Finally, the influence of algorithm across real-time MINIX operating systems.

Published Date: 2021-01-28; Received Date: 2019-06-13