Why This Matters

City-scale smart systems span multiple resource domains and administrative boundaries requiring hierarchical resilience approaches. This work innovates by introducing resilience zones with local recovery capability, enabling smart city systems to maintain functionality despite failures while managing resources across different availability levels.

What We Did

This brief presents a distributed and resilient platform for city-scale smart systems. The work extends CHARIOT with resilience zone mechanisms enabling hierarchical recovery from failures. The platform supports component-based application deployment with goal-based system descriptions for adaptive reconfiguration in response to failures.

Key Results

The system demonstrates CHARIOT's capability to model city-scale smart systems with resilience zone architecture. Goal-based descriptions enable automatic reconfiguration when failures occur. The approach validates feasibility of maintaining system resilience across distributed infrastructure without centralized control.

Full Abstract

Cite This Paper

@inproceedings{Pradhan2016a,
  author = {Pradhan, Subhav and Dubey, Abhishek and Khare, Shweta and Sun, Fangzhou and Sallai, J{\'{a}}nos and Gokhale, Aniruddha S. and Schmidt, Douglas C. and Lehofer, Martin and Sturm, Monika},
  booktitle = {IEEE/ACM} Symposium on Edge Computing, {SEC} 2016, Washington, DC, USA, October 27-28, 2016},
  title = {Poster Abstract: {A} Distributed and Resilient Platform for City-Scale Smart Systems},
  year = {2016},
  pages = {99--100},
  abstract = {The advent of the Internet of Things (IoT) is driving several technological trends. The first trend is an increased level of integration between edge devices and commodity computers. This trend, in conjunction with low power-devices, energy harvesting, and improved battery technology, is enabling the next generation of information technology (IT) innovation: city-scale smart systems. These types of IoT systems can operate at multiple time-scales, ranging from closed-loop control requiring strict real-time decision and actuation to near real-time operation with humans-in-the-loop, as well as to long-term analysis, planning, and decision-making.},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://dblp.org/rec/bib/conf/edge/PradhanDKSSGSLS16},
  category = {poster},
  contribution = {lead},
  doi = {10.1109/SEC.2016.28},
  file = {:Pradhan2016a-Poster_Abstract_A_Distributed_and_Resilient_Platform_for_City-Scale_Smart_Systems.pdf:PDF},
  keywords = {smart cities, resilience, distributed systems, goal-based models, hierarchical architecture, self-reconfiguration},
  project = {cps-middleware,smart-cities},
  tag = {platform},
  timestamp = {Wed, 16 Oct 2019 14:14:56 +0200},
  url = {https://doi.org/10.1109/SEC.2016.28}
}
Quick Info
Year 2016
Keywords
smart cities resilience distributed systems goal-based models hierarchical architecture self-reconfiguration
Research Areas
CPS middleware scalable AI
Search Tags

Poster, Abstract, Distributed, Resilient, Platform, City, Scale, Smart, Systems, smart cities, resilience, distributed systems, goal-based models, hierarchical architecture, self-reconfiguration, CPS, middleware, scalable AI, 2016, Pradhan, Dubey, Khare, Sun, Sallai, Gokhale, Schmidt, Lehofer, Sturm