Project background
National Key Research and Development Program "Key Scientific Issues of Transformative Technology" - Intelligent evolution mechanism and design topic of distributed information energy system.
Focusing on the phenomenon of thermoelectric coupling and high density heat source inside data center, this paper studies the intelligent planning and control strategy of information energy system, distributed data center load scheduling, cloud platform simulation, energy information coupling and so on to reduce the power consumption of data center cooling.
To achieve the overall goal of reducing the power consumption of the information energy system with dense dynamic heat source by more than 60% compared with the traditional constant temperature electric refrigeration.
Demand challenge
The hardware and software procurement cost of traditional scheme is high.
The management of various technologies is scattered and complicated.
The traditional localization scheme is difficult to meet the demand of scientific research.
Scheme characteristics
Based on the mature UCloudStack private cloud products, the secondary development of energy-saving modules was carried out, and more than ten high-performance servers and other data center infrastructure were purchased to build a private cloud data center room in the Key Laboratory of Smart Grid of the Ministry of Education of Tianjin University.
"One cloud multi-core", based on the domestic Feiteng + Haiguang hybrid computing platform, from the chip to the application for a comprehensive domestic adaptation, to ensure complete autonomy and control.
UCloudStack uses three separate architectures of computing, storage and management.
Scheme value
UCloudStack cloud capability, greatly reduce the server hardware procurement investment, to achieve cost reduction and efficiency.
A set of private cloud platform, unified infrastructure layer, unified operation and maintenance management of each module resource.
To meet customers' multi-service deployment, provide a flexible, scalable, autonomous, controllable, and fast delivery cloud infrastructure environment.
