Logo des Repositoriums

Auflistung nach Autor:in "Hutter, Eric"

1 - 2 von 2
  • Textdokument
    Complexity Analysis of Task Dependencies in an Artificial Hormone System
    (INFORMATIK 2020, 2021) Hutter, Eric; Pacher, Mathias; Brinkschulte, Uwe
    The Artificial Hormone System (AHS) is a self-organizing tool able to allocate tasks in a distributed system. We extend the AHS in this paper by negator hormones to enable conditional task structures and provide a thorough complexity analysis of the resulting system. The analysis shows that the problem to decide if a given task A is instantiated at all respecting the negators is NP-complete.
  • Konferenzbeitrag
    Enhancing Automotive AUTOSAR Environments with Artificial DNA
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Hutter, Eric
    In order to cope with the ever-increasing complexity of automotive embededded systems, bio-inspired techniques can be employed. We propose an organic concept based on artificial DNA (ADNA) and an artificial hormone system (AHS) that can be used to realize highly reliable, robust and flexible automotive systems. However, computational resources and communication bandwidth are often limited in automotive environments. Additionally, the AUTOSAR Classic Platform as the de facto standard for automotive Electronic Control Units (ECUs) does not support dynamic system behavior. Nevertheless, in this paper we show that the dynamic concept of ADNA and AHS can be successfully applied to a statically configured Classic AUTOSAR environment with moderate computational resource usage. While the communication via CAN bus (Controller Area Network) imposes some limitations, we propose ways of resolving them.