Online Adaptive Fault Tolerant based Feedback Control Scheduling Algorithm for Multiprocessor Embedded Systems

TL;DR

This paper introduces an online adaptive fault-tolerant feedback control scheduling algorithm for multiprocessor embedded systems, enhancing QoS and fault resilience amid dynamic load fluctuations.

Contribution

It proposes a novel methodology for designing an adaptive fault-tolerant feedback control algorithm tailored for multiprocessor embedded systems.

Findings

Improved fault tolerance in dynamic environments

Enhanced system performance and resource management

Guarantees deadline adherence for safety-critical tasks

Abstract

Since some years ago, use of Feedback Control Scheduling Algorithm (FCSA) in the control scheduling co-design of multiprocessor embedded system has increased. FCSA provides Quality of Service (QoS) in terms of overall system performance and resource allocation in open and unpredictable environment. FCSA uses quality control feedback loop to keep CPU utilization under desired unitization bound by avoiding overloading and deadline miss ratio. Integrated Fault tolerance (FT) based FCSA design methodology guarantees that the Safety Critical (SC) tasks will meet their deadlines in the presence of faults. However, current FCSA design model does not provide the optimal solution with dynamic load fluctuation. This paper presented a novel methodology of designing an online adaptive fault tolerant based feedback control algorithm for multiprocessor embedded systems. This procedure is important for control scheduling co-design for multiprocessor embedded systems.