2results about How to "Reduce development and maintenance costs" patented technology

The application provides a data index monitoring method and a monitoring system. The monitoring system provides a graphical user interface through a terminal device, and a data index configuration interface is displayed in the graphical user interface. The monitoring method comprises the following steps: in response to an index selection operation on the data index configuration interface, selecting a target monitoring index from a pre-constructed monitoring index library; each monitoring index included in the monitoring index library is encapsulated in the monitoring system in the form of an API interface; in response to a rule parameter configuration operation on the data index configuration interface, generating a target monitoring rule corresponding to the target monitoring index; in response to a task parameter configuration operation on the data index configuration interface, generating a target monitoring task corresponding to the target monitoring rule; and executing the target monitoring task, generating a monitoring result according to the target monitoring rule and the target monitoring index. In this way, the data index can be flexibly and efficiently monitored, the development and operation cost is reduced, and various business requirements for data index monitoring are met.

This invention relates to the field of computer technology, specifically to an instruction control method, apparatus, device, and medium based on write-response words. Firstly, this application breaks away from the traditional reliance on hardware primitives by using a mechanism where asynchronous functional components write a write-response word to the corresponding register address area after completing a task. Traditional solutions suffer from limited hardware primitive adaptability, making it difficult to efficiently utilize resources across different cores. This solution, however, uses a unified write-response word to feedback completion status, enabling flexible resource allocation on demand and significantly improving resource utilization. Secondly, this solution does not involve complex API calls. The write-response word mechanism is simple and direct, easily adapting to changes in the number of processor cores, enhancing system scalability. Thirdly, traditional solutions struggle with complex dynamic cross-core task dependencies, while this solution can accurately grasp task completion status through write-response words, flexibly scheduling tasks and effectively adapting to complex dynamic scenarios.