The Role of Parallel Computing Towards Implementation of Enhanced and Effective Industrial Internet of Things (IOT) Through Manova Approach

Parallel computing is considered one of the major computing models that have the potential of performing multiple tasks within a single device. Incorporation of parallel computing in implementing IoT in industrial operations, the accuracy of data extraction and data analysis is ensured that makes the decision-making process more effective. Relying largely on technological innovations, IIoT has aimed at incorporating various computing models into its operations to enhance its efficiencies in industrial operations and data accumulation. Considering this scenario, a survey to understand the role of PC in IIoT implementation has been executed here concerning 51 participants from various industries. Results drawn from this survey responses has assisted in identifying the effectiveness of parallel computing in implementing enhanced and effective IIoT. Here it has been discussed about the SPSS, in SPSS total 4 variables are used one independent variable and the 3 dependent variable has been used. The independent variable which has been used is named as Parallel Computing IIOT, the 3 dependent variable used is the Accuracy of Parallel computing, Effectiveness of parallel computing, role of parallel computing in processing data. On the other hand, ANOVA, reliability test have been performed in SPSS as per MANOVA approaches for evaluating the parallel computing on IIOT.