Fault-Detection Tactics for Optimized Embedded Systems Efficiency

Abstract

Embedded systems operational environment poses tightened and usually conflicted design requirements. Software architects aim at introducing effective tradeoff methods to select the most appropriate design solutions to comply with the software specifications of an embedded system. When defining the software architecture for critical embedded systems it is mandatory to balance often conflicting goals to meet the different requirements in terms of resource consumption, schedulability, dependability, and security, among others. This is an engineering problem that can be addressed by employing Multiple-Criteria Decision-Making (MCDM) methods from the operational research domain. This paper combines two of these methods, Analytical Hierarchy Process (AHP) and Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS), to determine the most efficient fault detection design decisions according to relevant metrics. The paper employs two algorithm efficiency metrics: run-time complexity and memoryspace complexity. Furthermore, the fault-detection strategy design decisions, Ping/Echo and Heartbeat, were the subjects of this study.

Research on Remote Online Firmware Upgrade System for Embedded Devices

“…Fault tree analysis (FTA) is a top-down deductive failure analysis method, which uses Boolean logic to combine loworder events to analyze the unwanted states in the system. FTA is mainly used in the fields of safety engineering and reliability engineering to understand the causes of system failure [21][22]. A fault tree diagram often represents the FAT method to complete system fault analysis.…”