A Hybrid Task Schedule Algorithm for Real-time System employing Trusted Computing Technology

Security has been a serious concern in more and more embedded systems. But restricted by the constrained resources in embedded system, security may damage the system real-time performance, we refer to this challenge as the "security real-time gap". To bridge this gap, trusted computing technology can be a good candidate, however, researches focusing on real-time performance in embedded systems employing trusted computing is still blank. In this paper, we investigate the dynamic scheduling of hybrid tasks with trusted computing constraint, and present a hybrid tasks model to describe the tasks which need trusted computing resources and a strategy to manage the trusted requests. Furthermore, an advanced dynamic hybrid task schedule algorithm based on total bandwidth server (TBS) algorithm is presented in this paper, used for enhancing responsiveness performance of aperiodic tasks. In the evaluation by simulation, the proposed method reduced average response times of the aperiodic task by up to 30.4%.