Abstract/Details

Decentralized Computing for Reliable Home Automation

Dor, Rahav.   Washington University in St. Louis ProQuest Dissertations & Theses,  2023. 30819897.

Abstract (summary)

Smart homes are distributed systems that should provide reliable home automation services. Distributed controllers have been used to improve the reliability of smart homes. However, despite the redundancy in controllers, the reliability of smart homes is hindered by the unreliable network infrastructure comprising home Wi-Fi and low-power wireless networks. As a result, smart homes cannot be trusted with much more than casual automation to date. This dissertation identifies the limitations of traditional fault-tolerant approaches that require inter-controller coordination over an unreliable network infrastructure. A new class of decentralized control paradigm named Banyan, with fully autonomous controllers, is introduced by this dissertation. The dissertation also presents a new coordination-less universal idempotent scheme that prevents duplicate actuation. Under a realistic system model for smart homes, it is proved that reliable, consistent, timely control decisions are made in a decentralized unison. This paradigm’s first test bed implementation is presented in the smart home context. Multiple controllers may contribute to running automation scripts at opportune points during their run and control flows among the controllers to enhance reliability and availability while maintaining consistency. This dissertation concludes with simulation and empirical results that demonstrate the capability of Banyan to support reliable automation in the presence of unreliable networks in the smart home.

Indexing (details)


Subject
Computer engineering;
Computer science;
Engineering
Classification
0464: Computer Engineering
0984: Computer science
0537: Engineering
Identifier / keyword
Control systems; Distributed computing; Fault tolerant; Reliability; Smart home
Title
Decentralized Computing for Reliable Home Automation
Author
Dor, Rahav
Number of pages
105
Publication year
2023
Degree date
2023
School code
0252
Source
DAI-B 85/6(E), Dissertation Abstracts International
ISBN
9798381185188
Advisor
Lu, Chenyang
Committee member
Gill, Christopher; Yeoh, William; Yin, Hongxi; Zhang, Ning
University/institution
Washington University in St. Louis
Department
Computer Science & Engineering
University location
United States -- Missouri
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
30819897
ProQuest document ID
2904547679
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/2904547679