An Improved Heuristic Schedule Approach of Task Scheduling for Big Data processing System

The fact that various jobs have different quality standards is a major problem with scheduling algorithms. Only a small number of algorithms are created to satisfy these various demands. For multivariate situations, none of the scheduling algorithms in use have been able to discover the best solution. Algorithms that take into account the trade-off between various quality standards for job scheduling are scarce. As a result, we suggest a new hybrid work scheduling algorithm in our research study that satisfies several quality standards for big data processing systems. Additionally, we put the suggested algorithms into practise by utilising MATLAB to generate and validate the findings.