SLA-based cloud workflow engine resource scheduling and controlling method

Abstract

The invention relates to a service level agreement SLA-based cloud workflow engine resource scheduling and controlling method. The method comprises the following steps of: dividing a resource distribution process into two flows of carrying out regular check and requesting to carry out scheduling; in the flow of carrying out regular check, loading all the lessees in a system and SLAs of the lessees by the system, obtaining a real-time speed of each engine, combining the real-time speeds into real-time speeds of the lessees, calculating the differences between SLA speeds of the lessees and the real-time speeds of the lessees, for the lessees, the differences of which exceed the upper and lower limits of a threshold value, executing a double-threshold value-based engine controlling method to increase and decrease engines in a cluster, executing a genetic algorithm-based scheduling method according to the distribution of a physical machine and a virtual machine of the current engine so as to calculate a new distribution, and completing engine migration; and in the flow of requesting to carry out scheduling, loading a mutual exclusion rule set and the current user table after a case request is received, traversing the mutual exclusion rule set and the current user table, selecting the engine which does not trigger mutual exclusion rules or has minimum performance influence, recording performance snapshots of a user and the engine, updating a mutual exclusion rule list, and processing the request and responding the user.

Description

technical field [0001] The present invention relates to a cloud workflow engine in the workflow field, and more specifically, to a resource scheduling and control method for a cloud workflow engine based on a Service Level Agreement (hereinafter referred to as SLA). Background technique [0002] With the cloudification of process services, more and more companies try to use cloud workflow engines to drive business processes in projects. Although the single-machine single-user mode of traditional workflow engines can meet the needs of a single enterprise, small and medium-sized companies inevitably use highly reliable process services due to high hardware costs or high operation and maintenance costs. [0003] At present, in the field of workflow, the system architecture and management structure of existing workflow cluster systems usually serve the same user, resources are used intensively and human intervention is reduced as much as possible. In the cloud service business ...

AI Technical Summary

Problems solved by technology

Although the stand-alone single-user mode of traditional workflow engines can meet the needs of a single enterprise, small and medium-sized companies inevitably use highly reliable process services due to high hardware costs or high operation and maintenance costs.

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