Speaker
Description
The efficient and stable operation of the data processing pipeline is fundamental to the success of primordial gravitational wave telescopes like the Ali CMB Polarization Telescope (AliCPT). However, the management of its heterogeneous computing and hardware ecosystem—servers, virtual machines, storage systems, and the remote observatory environment at the high-altitude site in Tibet—poses a significant challenge. Traditional approaches lack a unified platform for integrated resource provisioning, real-time status visualization, coordinated environmental monitoring, and remote control, leading to operational inefficiencies and potential risks to data integrity. To address this, we have designed and implemented an integrated management system specifically for AliCPT. The system is built upon a Proxmox-based virtualization layer that abstracts physical resources. Its core comprises three management modules: (1) a self-service portal with approval workflows for user resource application and administrative governance; (2) an integrated data panel that visualizes performance indicators of virtual machines, physical machines, and environmental sensor data, and implements outlier grading alarms based on intelligent rules to achieve centralized monitoring and management of multi-source heterogeneous state data; and (3) a unified control interface that integrates a precise commanding interface for issuing control signals to physical facilities, and a interface for the full lifecycle management of virtualized resources. Currently under active deployment and testing on the AliCPT platform, this system is poised to become a central tool for enhancing the operational coherence, reliability, and management efficiency of the entire data processing infrastructure.