Fuzzy logic based adaptive hierarchical scheduling for periodic real-time tasks

Abstract

In this paper, we present a new scheduling approach for real-time tasks in an embedded system. Our method utilizes hierarchical scheduling to provide a resource based allocation scheme while using a fuzzy logic based feedback scheduler to react to environmental changes within the application. The primary goal is to provide a scheduling mechanism that can adapt to overload conditions but still present a level of service while enforcing the temporal isolation between independent applications. The scheduler then considers this level of service to make scheduling decisions based upon a task's service requirements, such as criticality or timeliness. Implemented in VxWorks on a uniprocessor-based platform results show that our adaptive approach provides significant advantages, during overload conditions, over traditional fixed-priority scheduling schemes.