Centralink intelligent management system of data center infrastructure is a top-designed management system that integrates advanced technology applications such as IoT perception, autonomous regulation, artificial intelligence, and digital twin, etc. As certified by mature national and international management system specifications such as ITIL, ISO 20000, M&O, etc. and based on the principles of "integrated monitoring core, intelligent management means, standardized operation criterion and maintenance and green operation", it continuously optimizes the business services for customers and improves the data center management quality and efficiency.
Core Value
Integrated:
• The IoT-aware technology is applied to aggregate the full amount of operational information from the data center, build an integrated digital base and provide data support for intelligent management
Refined:
• Digital technologies are adopted to effectively identify infrastructure resources (such as assets, capacity, energy efficiency, network connection, etc.), and provide refined scheduling and management capabilities for improving the operation efficiency of data center
Intelligent:
• Innovative technology applications are integrated to enable the O & M management, such as intelligent O & M robot, and AI-based energy-saving optimization, etc., and to create an intelligent management model
Standardized:
• Based on best national and international O & M practices and standard specifications, the O & M management business system is established to facilitate the continuous optimization of business services
Visualized:
• The digital twin technology is used to realize the digital presentation of the real world and create intuitive visual management experience for the data center
Elastic:
• Horizontal expansion of platform performance and smooth upgrade of business services are provided to meet management requirements at different stages as needed
Application Scenarios
Monitoring management of medium, large and super large data centers, as well as centralized monitoring management of large edge nodes
