Resource Management Based on Resource Parameters in Computing Networks

In computing networks, the management center quickly schedules storage and computing resources of cloud-edge-device heterogeneous system. As the complexity of the network increases and resource nodes continue to be accessed, the burden on management center becomes heavier and heavier. We focus on the distributed autonomous management capabilities of resources in computing networks, and the correlation between resource parameters of a node with its network location. This paper proposes a computing resource management method in computing networks, which leverages parameter translation strategy for converting resource parameters into part of the IPv6 address of the resource node, SRv6 packets for network configuration. In the process of resource node search and resource node parameter update, part of the application layer’s services is settled on the network layer, which enhances performance and enables autonomous management of resources in computing networks.