Optimizing Event Management in Home Security Cameras: A Micro-Batching Approach for burst of Event Streams
Author(s): Sibin Thomas
Publication #: 2411069
Date of Publication: 07.08.2019
Country: USA
Pages: 1-5
Published In: Volume 5 Issue 4 August-2019
DOI: https://doi.org/10.5281/zenodo.14203616
Abstract
For strong event detection and analysis, modern smart home security cameras combine on-device and cloud computing. This usually entails sending to the cloud bursts of sub-events, sometimes called as "event tracks," connected to a single observable occurrence, or "event session." Although this method is good for precise event detection, it can cause inefficiencies, more delay, and more running expenses. This work investigates these difficulties and suggests a micro-batching event data based approach to maximize cloud processing and enhance general system performance and user experience. We introduce the concept and execution of this micro-batching technique together with possible advantages.
Keywords: Smart home security, event detection, cloud processing, micro-batching, latency optimization, event session, event track, optimistic lock failure, resource contention.
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