Chaotic marine predators optimization based task scheduling scheme for resource limited cyber-physical systems

Cyber-Physical System (CPS) is the most advanced technological advancement that is set to become the future trend in the domain of Information Technology. In CPS, Task Scheduling (TS) plays a crucial role in terms of increasing the resource consumption and enhancing the perfor-mance of the system. In this aspect, the current study develops a novel Chaotic Marine Predators Optimization-based Task Scheduling Scheme for Resource Limited CPS environment, abbreviated as CMPO-TSSCPS technique. The primary aim of the presented CMPO-TSSCPS technique is to allocate nindependent tasks, under resource-limited CPS environment, in such a way that the time taken to complete the whole set of tasks gets reduced, while the maximum utilization of the resources is achieved. The presented CMPO-TSSCPS technique is developed by integrating the chaotic concepts and MPO algorithm. This algorithm is inspired by the foraging mechanism of ocean predators such as Le ' vy and Brownian movements with optimum encounter rate policy. The experimental results establish the superior performance of the proposed CMPO-TSSCPS technique over existing task schedulers.