Abstract:
A policy processing method and network device. The method includes: performing a mixed orchestration on all service rules corresponding to multiple services, so as to construct multiple condition sets; performing, according to the constructed multiple condition sets, unified condition matching on packet feature information of a received network packet, and outputting a condition matching result set; and calling, a service application to execute a policy action corresponding to each condition identifier in the condition matching result set. In solutions of the embodiments of the present invention, by performing a mixed orchestration on multiple service rules, all service rules are organized in a unified manner, information required by all services is extracted in one packet scanning process, and only one matching and rule verification process is required. Thereby, redundant operations between multiple services are reduced, and device integration and performance are improved.
Abstract:
A policy processing method and network device. The method includes: performing a mixed orchestration on all service rules corresponding to multiple services, so as to construct multiple condition sets; performing, according to the constructed multiple condition sets, unified condition matching on packet feature information of a received network packet, and outputting a condition matching result set; and calling, a service application to execute a policy action corresponding to each condition identifier in the condition matching result set. In solutions of the embodiments of the present invention, by performing a mixed orchestration on multiple service rules, all service rules are organized in a unified manner, information required by all services is extracted in one packet scanning process, and only one matching and rule verification process is required. Thereby, redundant operations between multiple services are reduced, and device integration and performance are improved.
Abstract:
A stream computer system and a method for processing a data stream in a stream computing system are disclosed. The method includes a first working node invokes at least one execution unit to process a data stream according to an initial parallelism degree, a control node collects information reflecting data traffic between the first working node and a second working node, and information reflecting data processing speed of the first working node, determines an optimized parallelism degree for the first working node according to the collected information, and adjusts the parallelism degree of the first working node to be consistent with the optimized parallelism degree.
Abstract:
A stream computer system and a method for processing a data stream in a stream computing system are disclosed. In an embodiment, the method includes collecting data traffic information between each working node and other working nodes and processing speed information for each working node, determining an optimized parallelism degree for each working node according to the collected data traffic information and processing speed information and adjusting a parallelism degree of the working node according to the optimized parallelism degree of the working node.
Abstract:
A stream computing method performed by a manager node includes obtaining input channel description information, a structured query language (SQL) statement, and output channel description information, dynamically generating a data flow diagram according to the input channel description information, the SQL statement, and the output channel description information, and controlling, according to the data flow diagram, a worker node to execute a stream computing task.
Abstract:
A stream computing method applicable to a system including a manager node and a worker node, where the manager node, obtains input channel description information, a structured query language (SQL) statement, and output channel description information, dynamically generates a data stream graph according to the input channel description information, the SQL statement, and the output channel description information, and controlling, according to the data stream graph, a worker node to execute a stream computing task.
Abstract:
A stream computing method applicable to a system including a manager node and a worker node, where the manager node, obtains input channel description information, a structured query language (SQL) statement, and output channel description information, dynamically generates a data stream graph according to the input channel description information, the SQL statement, and the output channel description information, and controlling, according to the data stream graph, a worker node to execute a stream computing task.
Abstract:
A stream computer system and a method for processing a data stream in a stream computing system are disclosed. In an embodiment, the method includes collecting data traffic information between each working node and other working nodes and processing speed information for each working node, determining an optimized parallelism degree for each working node according to the collected data traffic information and processing speed information and adjusting a parallelism degree of the working node according to the optimized parallelism degree of the working node.
Abstract:
A policy processing method and network device. The method includes: performing a mixed orchestration on all service rules corresponding to multiple services, so as to construct multiple condition sets; performing, according to the constructed multiple condition sets, unified condition matching on packet feature information of a received network packet, and outputting a condition matching result set; and calling, a service application to execute a policy action corresponding to each condition identifier in the condition matching result set. In solutions of the embodiments of the present invention, by performing a mixed orchestration on multiple service rules, all service rules are organized in a unified manner, information required by all services is extracted in one packet scanning process, and only one matching and rule verification process is required. Thereby, redundant operations between multiple services are reduced, and device integration and performance are improved.