TASK SCHEDULING METHOD FOR PRIORITY-BASED REAL-TIME OPERATING SYSTEM IN MULTICORE ENVIRONMENT

Disclosed herein is a task scheduling method for a priority-based real-time operating system in a multicore environment, which solves problems occurring in real-time multicore task scheduling which employs a conventional decentralized scheme. In the task scheduling method, one or more scheduling algorithm candidates for sequential tasks are combined with one or more scheduling algorithm candidates for parallel tasks. Respective task scheduling algorithm candidates generated at combining, are simulated and performances of the candidates are evaluated based on performance evaluation criteria. A task scheduling algorithm exhibiting best performance is selected from among results obtained at evaluating the performances.