Abstract
•Develop a task scheduling scheme for resource limited cyber-physical system.•Propose a new Chaotic Marine Predators Optimization technique.•Allocate n independent tasks with the goal of maximum resource utilization.•Validate the simulation results under varying number of execution rounds and tasks.
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 performance 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 n independent 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 Lévy 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.
[Display omitted]