Abstract: The resource allocation method and apparatus are based on edge computing. The method includes: decomposing all application systems in a server into a plurality of meta-service units according to the coupling degree between different service modules in the application systems, and obtaining the quality of experience (QoE) index parameter value of each meta-service unit; clustering the plurality of meta-service units by using a clustering algorithm based on the QoE index parameter value of each meta-service unit; and allocating resources to each cluster according to the QoE index parameter values of all meta-service units in each cluster, so that all meta-service units in each cluster share the allocated resources. According to the invention, the resource allocation is more reasonable, the QoE value of a user is increased, and the resource use is more effective.

Abstract: The present disclosure provides compounds that are cGAS antagonists, methods of preparation of the compounds, pharmaceutical compositions comprising the compounds, and their use in medical therapy.

Abstract: A multi-path routing method oriented to supercomputing user experience quality includes: decoupling, according to a preset rule, a service with a path to be planned into at least one service block; acquiring, according to a network requirement feature of each service block, all paths between network nodes of the path to be planned, and a network feature of each of all the paths, a multi-path set between the network nodes for the service; and inputting the network feature of each path in the multi-path set and the network requirement features of all the service blocks into a preset matching degree evaluation function to acquire a network path between the network nodes for the service. According to the multi-path routing method, the overall service of the network is described in blocks, so that a strong dependency relationship between supercomputing service task scheduling and data exchange is decoupled.

Abstract: The resource allocation method and apparatus are based on edge computing. The method includes: decomposing all application systems in a server into a plurality of meta-service units according to the coupling degree between different service modules in the application systems, and obtaining the quality of experience (QoE) index parameter value of each meta-service unit; clustering the plurality of meta-service units by using a clustering algorithm based on the QoE index parameter value of each meta-service unit; and allocating resources to each cluster according to the QoE index parameter values of all meta-service units in each cluster, so that all meta-service units in each cluster share the allocated resources. According to the invention, the resource allocation is more reasonable, the QoE value of a user is increased, and the resource use is more effective.

Abstract: The data caching method and a storage medium includes acquiring, by receiving the request of caching service data sent by the UE, the network status data between an SBS corresponding to UE and the UE, the network status data between an MBS corresponding to the SBS and the UE, and the network status data between the UE and a data source of the service data. According to the types of the three pieces of network status data and the service data, three corresponding QoE values are acquired, and whether the cache is configured for the UE is determined according to the three QoE values. The quantification of the three QoE values is realized, and whether the cache is configured for the UE is determined according to the quantized QoE values, thereby achieving the effect of improving the quality of user experience.

Abstract: The data caching method and a storage medium includes acquiring, by receiving the request of caching service data sent by the UE, the network status data between an SBS corresponding to UE and the UE, the network status data between an MBS corresponding to the SBS and the UE, and the network status data between the UE and a data source of the service data. According to the types of the three pieces of network status data and the service data, three corresponding QoE values are acquired, and whether the cache is configured for the UE is determined according to the three QoE values. The quantification of the three QoE values is realized, and whether the cache is configured for the UE is determined according to the quantized QoE values, thereby achieving the effect of improving the quality of user experience.