Server process scheduling method, system and device based on node.js

Abstract

The invention discloses a server process scheduling method based on node.js. The method comprises the steps that a scheduling process obtains a front-end service request and selectively allocates theservice request to a mounted first logic process according to a preset allocation strategy for a plurality of mounted logic processes, and the scheduling process is a Node.js process; the first logicprocess creates a service instance according to the received service request, and inputs the service instance into a plurality of threads created for the service instance for execution; and when the scheduling process monitors that abnormal offline occurs in execution of the first logic process, the second logic process is restarted to load unfinished information of the first logic process. Each service is reasonably distributed to a plurality of mounted logic processes, so that the load balance of the logic processes for processing the services is achieved, the network data processing capability is effectively enhanced, and the flexibility and the availability of the network are improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a node.js-based server process scheduling method and system. Background technique [0002] Node.js is a JavaScript operating environment based on the Chrome V8 engine. It does not support multi-threading itself, but in order to make full use of the Multi-core of the server, it must use multi-processes. Then how to balance the load between processes will be A key point. For example, the current electronic batch recording software has a background processing module to process each workflow instance generated in the software business. The background module needs to accept business instructions from the front desk, and generate, manage, operate, or close a process according to business requirements. However, when the demand for front-end business is large, the computing performance of the single-instance back-end module will not meet the requirements, resulting in software...

AI Technical Summary

Problems solved by technology

For example, the current electronic batch recording software has a background processing module to process each workflow instance generated in the software business. The background module needs to accept business instructions from the front desk, and generate, manage, operate, or close a process according to business requirements. However, when the demand for front-end business is large, the computing performance of the single-instance back-end module will not meet the requirements, resulting in software instability and insufficient performance.

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