面向算力网络的云边端协同调度技术

摘要：针对网络规模庞大、资源分散和异构性等挑战，面向算力网络的云边端协同调度技术通过算力网络将云边端多级泛在算网资源整合在一起，从而形成一个庞大的、跨越多个地域的资源池。综合考虑网络实时状态、用户需求等要素，该技术能够实现对算网资源的统一管理和动态调整，提升用户体验的同时降低企业运营成本和运维复杂度。

关键词：算力网络；云边端协同；协同调度技术

Abstract: Faced with challenges such as a large network scale, dispersed and heterogeneous resources, the cloud-edge-end collaborative scheduling technology for computing power networks integrates multi-level ubiquitous computing network resources from the cloud, edge, and end into a large, cross-regional resource pool through the computing power network. By considering factors such as real-time network status and user demands, it achieves unified management and dynamic adjustment of computing network resources, improving user experience while reducing enterprise operation costs and maintenance complexity.

Keywords: computing power network; cloud-edge-end collaborative; collaborative scheduling technology