The Design and Implementation of MINA-Based Smart Home Data Synchronization System

Liu, Fagui; Guo, Wei

doi:10.1109/imccc.2015.342

Cited by 2 publications

(1 citation statement)

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“…2) Data capture synchrony: Data synchronization [14] is an important problem in IoT data acquisition. Using synchronous tasks for capturing data allows us to precisely control the relative timing relations among the data points.…”

Section: B Synchronization Use Casesmentioning

confidence: 99%

Multipoint Synchronization for Fog-Controlled Internet of Things

Olaniyan

Maheswaran

2019

IEEE Internet Things J.

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This paper presents a fog-resident controller architecture for synchronizing the operations of large collections of Internet of Things (IoT) such as drones, Internet of Vehicles, etc. Synchronization in IoT is grouped into different classes, use cases identified and multi-point synchronous scheduling algorithms are developed to schedule tasks with varying timing requirements; strict (synchronous) and relaxed (asynchronous and local) onto a bunch of worker nodes that are coordinated by a fog resident controller in the presence of disconnections and worker failures. The algorithms use time-based or component-based redundancy to cope with failures and embed a publish-subscribe message update scheme to reduce the message overhead at the controller as the number of workers increase. The performance of the algorithms are evaluated using tracedriven experiments and practicability is shown by implementing the time-based redundancy synchronous scheduling algorithm in JAMScript -a polyglot programming platform for Cloud of Things and report initial findings.

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Section: B Synchronization Use Casesmentioning

confidence: 99%