Single-Board-Computer Clusters for Cloudlet Computing in Internet of Things

Abstract

The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised cloud-computing data centres present various challenges to meet the requirements inherent to Internet of Things (IoT) workloads, such as low latency, high throughput and bandwidth constraints. Edge computing is becoming the standard computing paradigm for latency-sensitive real-time IoT workloads, since it addresses the aforementioned limitations related to centralised cloud-computing models. Such a paradigm relies on bringing computation close to the source of data, which presents serious operational challenges for large-scale cloud-computing providers. In this work, we present an architecture composed of low-cost Single-Board-Computer clusters near to data sources, and centralised cloud-computing data centres. The proposed cost-efficient model may be employed as an alternative to fog computing to meet real-time IoT workload requirements while keeping scalability. We include an extensive empirical analysis to assess the suitability of single-board-computer clusters as cost-effective edge-computing micro data centres. Additionally, we compare the proposed architecture with traditional cloudlet and cloud architectures, and evaluate them through extensive simulation. We finally show that acquisition costs can be drastically reduced while keeping performance levels in data-intensive IoT use cases.

Artificial Intelligence in Biology

“…Fog computing is an infrastructure interposed between edge and cloud computing to enable more efficient data processing, analysis, and storage. Cloudlets are small-scale data centers designed to quickly deliver cloud computing services to mobile and wearable devices, increasing response time of applications [80].…”

Research on the Construction of Intelligent Sports Health Management System Based on Internet of Things and Cloud Computing Technology

“…Literature [23] points out that intelligent sports health management has such a secret for any enterprise and individual, that is, and specifically, after the individuals and enterprises passed the health management, the medical expenses decreased to the original level, the individuals and enterprises did not carry out health management, and the medical expenses increased by 90%. According to [24], the incidence rate of hyperglycemia in civil servants is 23.70%, and it has the characteristics of aging. Incidence rate incidence rate of hyperlipidemia in Xi'an civil servants was 41.32%, Xiao Ying, 2010, fatty liver incidence was 20.15%, and high uric acid incidence rate was 4.03%.…”

Cluster of Single-Board Computers at the Edge for Smart Grids Applications

“…Edge computing on SBCs was tackled in [11]. Since IoT devices are expanding, centralized cloud computing data centers are no longer suitable for IoT applications as they now present many challenges.…”