Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios

ABSTRACT

The Internet of Things (IoT) has caused an exponential increase in the number of connected devices. This brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services. However, more powerful storage and processing capabilities are required to service all these devices. Modelling and Simulation (M&S) can help to deploy IoT infrastructure, providing flexible and powerful mechanisms to study and compare different strategies. In this scenario, Micro Data Centers (MDCs) are an effective solution to reduce overwhelmed Cloud Data Center infrastructures. This paper explores an M&S methodology to study the overall power consumption of a healthcare IoT scenario, where patients wear non-intrusive monitoring devices that periodically generate computing tasks. We extract the layout of existing urban infrastructures, simulate the monitored population’s behaviour, and compare the power consumption of several data centre configurations.

KEYWORDS:

• Internet of things
• model-based systems engineering
• edge and fog computing
• discrete-event system specification
• clustering

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was partially supported by the Spanish Ministry of Science and Innovation under 2PIC4BioMed (PID2019-110866RB-I00) project grant, by the the Madrid Regional Government under CABAHLA-CM (S2018/TCS-4423) project grant, and by the Google Cloud Research Credits program with the award GCP19980904.