Why This Matters

Extensible CPS must maintain resilience despite changing resources, applications, and failure modes. This work innovates by providing a unified platform approach supporting both design-time analysis of system resilience and runtime reconfiguration mechanisms enabling autonomous adaptation to failures without external intervention.

What We Did

This work addresses platform design for resilient and extensible cyber-physical systems through design-time and runtime mechanisms. It presents CHARIOT, a platform with goal-based system descriptions supporting extensible CPS with autonomous resilience capabilities. The work emphasizes resilience as a key requirement for systems handling multiple failure modes.

Key Results

The CHARIOT platform demonstrates successful modeling and management of resilient CPS applications through goal-based descriptions and self-reconfiguration. Experimental validation shows runtime configuration point computation enabling system adaptation to failures. The approach validates autonomous resilience capability for distributed CPS applications.

Full Abstract

Cite This Paper

@inproceedings{Pradhan2016b,
  author = {Pradhan, Subhav and Dubey, Abhishek and Gokhale, Aniruddha S.},
  booktitle = {7th {ACM/IEEE} International Conference on Cyber-Physical Systems, {ICCPS} 2016, Vienna, Austria, April 11-14, 2016},
  title = {WiP Abstract: Platform for Designing and Managing Resilient and Extensible {CPS},
  year = {2016},
  pages = {39:1},
  abstract = {Extensible Cyber-Physical Systems (CPS) are loosely connected, multi-domain platforms that "virtualize" their resources to provide an open platform capable of hosting different cyber-physical applications. These cyber- physical platforms are extensible since resources and applications can be added or removed at any time. However, realizing such platform requires resolving challenges emanating from different properties; for this paper, we focus on resilience. Resilience is important for extensible CPS to make sure that extensibility of a system doesn't result in failures and anomalies.},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/bib/conf/iccps/PradhanDG16},
  category = {poster},
  contribution = {lead},
  doi = {10.1109/ICCPS.2016.7479128},
  file = {:Pradhan2016b-WiP_Abstract_Platform_for_Designing_and_Managing_Resilient_and_Extensible_CPS.pdf:PDF},
  keywords = {cyber-physical systems, resilience, extensibility, self-reconfiguration, design-time analysis, goal-based models},
  project = {cps-reliability,cps-middleware},
  tag = {platform},
  timestamp = {Wed, 16 Oct 2019 14:14:57 +0200},
  url = {https://doi.org/10.1109/ICCPS.2016.7479128}
}
Quick Info
Year 2016
Keywords
cyber-physical systems resilience extensibility self-reconfiguration design-time analysis goal-based models
Research Areas
CPS middleware
Search Tags

Abstract, Platform, Designing, Managing, Resilient, Extensible, cyber-physical systems, resilience, extensibility, self-reconfiguration, design-time analysis, goal-based models, CPS, middleware, 2016, Pradhan, Dubey, Gokhale