With the rapid development of social structure, such as the poplarity of Internet of Things(Iot) and the adopting of IT
in social infrastructure, data centers are required to manage vast amounts of data, like information of sensors and devices.
On the other hand, besides reducing the emissions of greenhouse gas & power consumption, within the mega trend of dealing with the global warming problems,to reduce the power consumption is also a big challenge for data center.
In our laboratory, we implementing AI and virtualization technology to make the data center meet the strict requirements by constructing an optimal air conditioning system & task assignment system.
Discussion with enterprises on the meeting
Using the data of real data center
Experiment using various sensors
Provision of PCs, laptops and other necessary equipment
Support for travel expenses, etc.
Regular research progress meetings
English paper session every week
study sessions, presentation exercises, etc., if necessary
‘A Novel Automated Tiered Storage Architecture for Achieving both Cost Saving and QoE‘ in Proceedings of IEEE SC2 2018, November 2018.
‘High-Performance Sequence Analysis Engine for Shotgun Metagenomics Sequence comparison through GPU Acceleration’ in Proceedings of IEEE International Conference on Bioinformatics and Bioengineering (BIBE) 2018, October 2018.
‘Consensus Building for users with various preference’ in Proceedings of ICT Convergence 2018, October 2018.
‘Dynamic power consumption prediction and optimization of data center by using deep learning and computational ﬂuid dynamics’ in Proceedings of IEEE CloudNet 2018, October 2018.
‘A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification’ in Proceedings of IEEE Cloud 2018, July 2018.
‘Self-Aware Workload Forecasting in Data Center Power Prediction’ in Proceedings of IEEE CCGRID 2018, May 2018.
‘Proposal of Cooling Method for HPC by Drip Feeding Cooling’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.
‘Effective Cooling of Server Boards in Data Centers by Liquid Immersion Based on Natural Convection Demonstrating PUE below 1.04’ in Proceedings of ASHRAE 2018 Winter Conference, January 2018.
‘Liquid immersion cooling technology with natural convection in data center’ in Proceedings of IEEE CloudNet 2017, September 2017.