Self-Adaptation of Cyber Physical Systems: Flexible HW/SW computing

Torre Arnanz, Eduardo de la (2018). Self-Adaptation of Cyber Physical Systems: Flexible HW/SW computing. In: "CPS Summer School 2018 Designing Cyber-Physical Systems – From concepts to implementation", 17 - 21 September, 2018, Alghero (Italia). pp. 1-7.

Description

Title: Self-Adaptation of Cyber Physical Systems: Flexible HW/SW computing
Author/s:
  • Torre Arnanz, Eduardo de la
Item Type: Presentation at Congress or Conference (Other)
Event Title: CPS Summer School 2018 Designing Cyber-Physical Systems – From concepts to implementation
Event Dates: 17 - 21 September, 2018
Event Location: Alghero (Italia)
Title of Book: CPS Summer School 2018 Designing Cyber-Physical Systems – From concepts to implementation
Date: 2018
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Embedded systems with stringent computing and low power consumption needs within a restricted amount of computing resources may have, on top of this, the need of adapting to different conditions. Many systems may benefit from self-adaptation at run-time. This autonomous adaptation may be originated from different needs: changes in the mission of the embedded control system, changes in the environment, or changes in the control system itself (including faults and how to self-recover from them). In this talk, a review of different techniques for self-adaptation is one. Topics such as self-awareness, scalable performance, dynamic HW and SW adaptation for scalabaility, graceful degradation and fault mitigation techniques for self-healing, will be addressed. The aim is to offer different techniques that may be used in order to increase the autonomy and adaptation capabilities of embedded systems, in general, and of cyber-physical systems, in particular. HW and SW adaptation are a very interesting feature for the new reconfigurable MPSoCs solutions,like the Xilinx Zynq or Zynq UltraScale+ devices, which include a variety of computing resources such as FPGAs, multi-core systems or embedded GPUs.

More information

Item ID: 51128
DC Identifier: http://oa.upm.es/51128/
OAI Identifier: oai:oa.upm.es:51128
Official URL: http://www.cpsschool.eu/
Deposited by: Memoria Investigacion
Deposited on: 21 Nov 2018 15:49
Last Modified: 21 Nov 2018 15:49
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