Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios
Kevin Henares, Jos\'e L. Risco-Mart\'in, Jos\'e L Ayala, Rom\'an, Hermida

TL;DR
This paper presents a modeling and simulation approach to optimize micro data center deployment for mobile healthcare IoT systems in urban environments, aiming to reduce power consumption and improve infrastructure efficiency.
Contribution
It introduces a novel simulation methodology to analyze power consumption of MDCs in healthcare IoT scenarios within urban settings.
Findings
Different MDC configurations impact power consumption significantly
Urban infrastructure layout influences data center efficiency
Simulation results guide optimal deployment strategies
Abstract
In the last decade, the Internet of Things paradigm has caused an exponential increase in the number of connected devices. This trend brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services and applications. Despite its great benefits, this paradigm also comes with several challenges. More powerful storage and processing capabilities are required to service all these devices. Additionally, the need to deploy and manage the infrastructure to efficiently support these resources continues to pose a challenge. Modeling and simulation can help to design and analyze these scenarios, providing flexible and powerful mechanisms to study and compare different strategies and infrastructures. In this scenario, Micro Data Centers (MDCs) can be used as an effective way of reducing overwhelmed Cloud Data Center…
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Taxonomy
Methodstravel james
