cniCloud: Querying the Cellular Network Information at Scale
Wenguang Huang, Chang Zhou, Yuanjie Li

TL;DR
cniCloud is a scalable cloud platform that collects, stores, and enables querying of detailed cellular network data from numerous mobile devices, facilitating large-scale cellular analytics.
Contribution
It introduces a cloud-based system that crowdsources cellular data from mobile devices and provides efficient SQL-like querying capabilities for large-scale cellular network analysis.
Findings
Feasibility demonstrated through preliminary deployments.
Optimized database storage for responsive queries.
Supports large-scale crowdsourced cellular data analytics.
Abstract
This paper presents cniCloud, a cloud-based platform for mobile devices to share and query the fine-grained cellular information at scale. cniCloud extends the single-device cellular analytics via crowdsourcing: It collects the fine-grained cellular network data from massive mobile devices, aggregates them in a cloud-based database, and provides interfaces for end users to run an SQL-like query over the cellular data. It offers efficient and responsive processing by optimizing the database storage and adopting the domain-specific optimizations. Our preliminary deployments and experiments validate its feasibility in performing crowdsourced analytics.
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Caching and Content Delivery · Mobile Crowdsensing and Crowdsourcing
