Connected Big Data Measurement
Rossi Kamal, Choong Seon Hong
TL;DR
This paper discusses a resilient Big Data monetization scheme that outperforms existing methods by balancing CDS size and routing efficiency, enhancing data measurement and management.
Contribution
It introduces a novel Big Data measurement approach that improves resilience and efficiency over current schemes.
Findings
Outperforms state-of-the-art schemes in resilience and efficiency
Balances CDS size and routing for optimal performance
Enhances Big Data measurement capabilities
Abstract
In this paper, we have summarized how resilient Big Data monetization scheme outperforms state-of-the art schemes by maintaining a balance between CDS size and routing.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · IoT and Edge/Fog Computing · Mobile Crowdsensing and Crowdsourcing