The Self-Aware Information Processing Factory Paradigm for Mixed-Critical Multiprocessing

Eberle A. Rambo, Bryan Donyanavard, Minjun Seo, Florian Maurer, Thawra Kadeed, Caio B. De Melo, Biswadip Maity, Anmol Surhonne, Andreas Herkersdorf, Fadi Kurdahi, Nikil Dutt, Rolf Ernst

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In order to provide performance increases despite the end of Moore's law and Dennard scaling, architectures aggressively exploit data- and thread-level parallelism using billions of transistors on a single chip, enabled by extreme geometry miniaturization. A resulting challenge is the control, optimization, and reliable operation of such complex multiprocessing architectures. Modern and future systems will be required to operate under multi-dimensional variability: from varying workload, quality-of-service (QoS) goals, and non-functional requirements to varying environmental and operating conditions. A trend has recently emerged to abstract such complex multiprocessing architectures as self-aware factories whose resources are monitored, configured and their use is planned during runtime. In this article, we present the Information Processing Factory (IPF) paradigm for mixed-criticality. We introduce its 5-layer hierarchical organization and a system configuration framework that ensures that the strict requirements of the safety-critical functions are always met while dynamically managing and optimizing the mixed-critical system at runtime. We illustrate the application of IPF in heterogeneous domains with two representative use-cases (healthcare and automotive), investigate the use of IPF to achieve long-term dependability, and highlight the open challenges. Experimental results report the reliability levels achievable with the proposed paradigm.

Original languageEnglish
Pages (from-to)250-266
Number of pages17
JournalIEEE Transactions on Emerging Topics in Computing
Issue number1
StatePublished - 2022


  • Self awareness
  • high-dependability
  • mixed criticality
  • real-time systems
  • reliability


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