|According to the latest reports of the US Environmental Protection Agency (EPA), 70 billion kWh equals 1.8% of the whole electricity power of the U.S.was consumed in DCs by 2014. Up to 50% of this power is consumed for cooling of IT and communication equipment in a wasteful way. Inefficient regions in a DC are detectable based on high temporal and spatial fidelity maps of temperature, relative humidity, airflow, and other environmental parameters. These maps can also be used in predictive maintenance, floor planning, and smart ventilation of cooling units. The objective of this project was to facilitate environmental monitoring and predictive maintenance in data centers by studying the feasibility and performance of three different approaches or a combination of them:
- Sahar Asgari (PhD)
- Mehdi Jafarizadeh (PhD)
- Chenhe Li (MSc)
- Jun (Tyler) Li (MSc)
- Xingzhi Liu (MSc)
- Ghada Badawy
Research Thrusts #
1- Data Center Wireless Sensor Networks
The main outcome of this research is a reliable, low-power, adaptable, and easy-to-commission Bluetooth Low Energy (BLE) based network architecture for Data Center Wireless Sensor Networks (DCWSNs). Toward this goal:
|2- Hybrid Modeling for DCs
In this research, a fast, adaptive, and accurate hybrid surrogate model is developed by combining a DDM and physics-based relations to predict real-time temperatures in a DC. Toward this goal:
|3- Fault Diagnosis in DCs
In this research, fault detection and diagnosis (FDD) algorithms and associated control strategies are applied to detect, diagnose, and isolate faults to ensure that the cooling system runs appropriately. Toward this goal:
Hybrid Surrogate Model for Online Temperature and Pressure Predictions in Data Centers Journal Article
In: Future Generation Computer Systems, 114 , pp. 531–547, 2021.
A Gray-box Model for Real-time Transient Temperature Predictions in Data Centers Journal Article
In: Applied Thermal Engineering, pp. 116319, 2020.
An Analytical Study of Low Energy Monitoring Networks for Large-Scale Data Centers Inproceedings
In: GLOBECOM 2020-2020 IEEE Global Communications Conference, pp. 1–6, IEEE 2020.
LEMoNet: Low Energy Wireless Sensor Network Design for Data Center Monitoring Inproceedings
In: IFIP Networking, 2019.
On the Effect of Multi-Packet Reception on Redundant Gateways in LoRAWANs Inproceedings
In: IEEE International Conference on Communications (ICC), 2019.
Thermal Piloting: A Novel Approach for Sensor Localization in Data Center Monitoring Inproceedings
In: International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019.
To Monitor or Not: Lessons from Deploying Wireless Sensor Networks in Data Centers Inproceedings
In: Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks (RealWSN'18), 2018.
This research was in part supported by the collaborative research and development grant NSERC CRDPJ 500720 and NSERC Discovery grant.