Cloud workflow management system supporting large-scale living example intensive applications

Abstract

The invention discloses a cloud workflow management system (hereinafter referred to as a cloud workflow) supporting large-scale living example intensive applications, and belongs to the technical sub-field of workflow management and the technical field of cloud computation in the field of computer software engineering. The system mainly comprises the technical sub-fields of workflow process management, execution service, monitoring, load balance, early warning, automatic telescoping, execution service cloning, charging and the like under cloud computation environment; by utilizing cloud computation, the problem that the existing workflow management technology cannot elastically and economically support large-scale living example intensive workflow applications is solved; and the system is developed by using computer software technologies such as Java, HTML, CSS, Javascript and the like, integrates technologies such as Web services, an Eclipse Rich Client Platform plugin and the like, and is mainly used for business process management, business system integration and the like of government and enterprise units.

Description

[0001] Technical field [0002] The invention relates to the technical field of workflow management and cloud computing, and is characterized in workflow process management, execution service, monitoring, load balancing, early warning, automatic scaling, execution service cloning and billing under the cloud computing environment. The present invention is mainly applied to the management of business with process characteristics (referred to as business process) of governments, enterprises and public institutions. Background technique [0003] Workflow is a business process automation concept proposed by the Workflow Management Alliance in 1995 based on the development of office automation technology. Workflow technology aims to use information technology to analyze the business processes of governments, enterprises, and institutions (such as office processes, expense reimbursement processes, administrative approval processes, insurance business approval processes, credit approv...

AI Technical Summary

Problems solved by technology

In the face of these large-scale applications, the existing workflow management technology has been unable to effectively support such applications, and the main problems are as follows:

However, the expansion of the server cluster requires complex configuration. Once the configuration is completed, when the number of workflow instances decreases, the reduced number of clusters needs to be reconfigured, otherwise resources will be wasted.

For applications where the number of workflow instances is constantly changing, the server cluster can only maintain the maximum number of servers to prevent the system from being unable to meet the demand when the number of workflow instances is the largest

[0006] 2. The cost of system software and hardware is high

The existing workflow management system increases the investment cost of hardware and software due to the expansion of high-performance server clusters to improve the ability to execute workflow instances concurrently.

[0007] 3. Unable to perceive the system status in real time

In the current workflow management system, each server in the server cluster independently executes the workflow to execute the service processing request, and the system cannot perceive its load status. If any server is overloaded, there is a risk of server crash, which will cause business data lost

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