DCAICELGSESep 15, 2025

An End to End Edge to Cloud Data and Analytics Strategy

arXiv:2509.12296v12 citationsh-index: 3ICCCNT
Originality Synthesis-oriented
AI Analysis

This addresses the need for efficient data handling in enterprises adopting IoT and cloud, but it appears incremental as it builds on existing concepts without introducing new methods.

The paper tackles the challenge of managing data from IoT devices by proposing a secure edge-to-cloud strategy and reference architectures for device, edge, and cloud layers to enable real-life implementation.

There is an exponential growth of connected Internet of Things (IoT) devices. These have given rise to applications that rely on real time data to make critical decisions quickly. Enterprises today are adopting cloud at a rapid pace. There is a critical need to develop secure and efficient strategy and architectures to best leverage capabilities of cloud and edge assets. This paper provides an end to end secure edge to cloud data and analytics strategy. To enable real life implementation, the paper provides reference architectures for device layer, edge layer and cloud layer.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes