The information processing factory

Abstract

The number and complexity of embedded system platforms used in mixed-criticality applications are rapidly growing. They run large and evolving applications on heterogeneous multi-or manycore processing platforms requiring dependable operation and long lifetime. Examples include automated and autonomous driving, smart buildings, industry 4.0, and personal medical devices. The Information Processing Factory (IPF) applies principles inspired by factory management to master the complexity of future, highlyintegrated embedded systems and to provide continuous operation and optimization at runtime. A general objective is to identify a sweet spot between a maximum of autonomy among IPF constituent components and a minimum of centralized control in order to ensure guaranteed service even under strict safety and availability requirements. This paper addresses the challenges of IPF and how to tackle them with a set of techniques: self-diagnosis for early detection of degradation and imminent failures combined with unsupervised platform self-adaptation to meet performance and safety targets.• Computer systems organization → Embedded and cyberphysical systems; Dependable and fault-tolerant systems and networks; Real-time systems.

Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper

“…Therefore, run-time system monitoring and optimization are essential to control and have a reliable operation of applications, especially mixed-criticality applications, and efficient resource management of multi/many-core platforms [122]. IPF paradigm is recently used to manage the system dynamically, according to the changes in system and workload [98,123]. This self-aware paradigm improves the reliability and resource utilization by combining different techniques in different hierarchical layers.…”