CN112839109B - Cloud resource arranging method based on cloud function and BPMN (Business Process management) specification - Google Patents
Cloud resource arranging method based on cloud function and BPMN (Business Process management) specification Download PDFInfo
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Abstract
The invention discloses a cloud resource arranging method based on cloud functions and BPMN specifications, which comprises the following steps: the BPMN process engine analyzes the task information and issues the task information to a cloud message service; triggering and starting the Lambda cloud function service by the cloud message service according to the task information, and selecting a corresponding Lambda function set; the Lambda cloud function service scheduling the set of Lambda functions to a cloud function engine that executes a cloud function to cause the Lambda cloud function service to complete a task event; the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service; the BPMN flow engine parses the next task information. The execution logic and the scheduling logic are separated, so that a process engine server is concentrated on the scheduling logic of the process, the light weight is kept, and the cloud function-based execution unit has the good architectural characteristics of cross-language, high expansion, distribution and heterogeneous deployment; function set-oriented research and development mode enables research and development to be concentrated on codes, the problems of code operation architecture, operation and maintenance implementation and the like are not needed to be concerned, research and development efficiency is improved, and maintenance cost is reduced.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a cloud resource arranging method based on cloud functions and BPMN specifications.
Background
The types of the cloud resources comprise IAAS, PAAS, SAAS and application layers, the scheduling modes of the cloud resources of different CPU architectures and different virtualization architectures are different, the scheduling control on the cloud resource delivery has the characteristics of high diversity of scheduling objects, strong expansibility and strong complexity of the scheduling process. BPMN (Business Process Model and Notation) is a set of visual graph description method for defining business Process Model. Since the BPMN is a very mature business process control specification in the industry, the problem of complexity of the cloud resource arrangement process can be solved by using the BPMN specification.
The process control problem of the deployment process is solved by arranging the sequence of cloud resource deployment, various concurrency, waiting, serialization, convergence and the like through the process. The general scheme in the industry is to implement logic implementation through various tasks defined in the BPMN specification, such as Java service tasks and script tasks, or implement creating a service Task class of a virtual machine and creating a service Task class of a storage volume. However, as the cloud resources are continuously increased, more implementation classes need to be added, and the demand response cost for the newly-added cloud resource arrangement object is high and the speed is low; the scheme of implementing the execution logic through the service class concentrates a large amount of service logic on the engine service end, so that the engine service end is more and more bulkier, research, development, management and operation and maintenance support are seriously influenced, the whole program architecture is a centralized architecture and cannot be deployed in a distributed manner, the response capability of a large amount of deployment requests cannot be expanded, the centralized execution logic limits the simplification of the deployment architecture during program operation, and the requirement of heterogeneous deployment cannot be responded in a specific scene, such as a cross-arm and x86 scene; the selected framework of the process engine may define the programming language selection for the service class.
Patent document with application number 201710067985.3 discloses a method and system for mining parallelism of BPMN compilation process, which extracts basic relations among tasks from the compilation process according to structural characteristics and constructs a basic relation matrix; analyzing the dependency relationship among tasks and constructing a dependency relationship matrix; constructing a dependency graph according to the dependency relationship matrix; and converting the dependency graph according to a conversion rule to obtain a compilation process.
Disclosure of Invention
Aiming at the problems, the cloud resource arranging method based on the cloud function and the BPMN specification separates the execution logic and the scheduling logic, so that the execution logic and the scheduling logic can be respectively concentrated on the logic operation, the integral lightweight is kept, the execution unit has a good framework, the cross-language, high-expansion, distributed and heterogeneous deployment can be realized, and the research and development efficiency is improved.
In order to solve the technical problem, the cloud resource arranging method based on the cloud function and the BPMN specification comprises the following steps of:
s1: the BPMN process engine analyzes the task information and issues the task information to a cloud message service;
s2: triggering and starting the Lambda cloud function service by the cloud message service according to the task information, and selecting a corresponding Lambda function set;
s3: the Lambda cloud function service scheduling the set of Lambda functions to a cloud function engine that executes a cloud function to cause the Lambda cloud function service to complete a task event;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: the BPMN flow engine parses the next task information.
Further, the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method.
Further, S2 further includes: and selecting a corresponding Lambda function set according to the method for triggering the cloud function by the queue number and the method.
Compared with the prior art, the beneficial effect of this scheme does:
the scheme provides a cloud resource arranging method based on cloud functions and BPMN specifications, and the method is a flow architecture design method, wherein execution logic and scheduling logic are separated, so that a flow engine server is concentrated on the scheduling logic of a flow, and light weight is kept; function set-oriented research and development mode enables research and development to be concentrated on codes, the problems of code operation architecture, operation and maintenance implementation and the like are not needed to be concerned, research and development efficiency is improved, and maintenance cost is reduced.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of the communication flow of the method of the present invention;
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
The technical solution of the present invention will be clearly and completely described below with reference to the specific embodiments and the accompanying drawings.
As shown in fig. 1-2, the present invention discloses a cloud resource arrangement method based on cloud functions and BPMN specifications, comprising: the BPMN process engine analyzes the task information and issues the task information to a cloud message service;
triggering and starting the Lambda cloud function service by the cloud message service according to the task information, and selecting a corresponding Lambda function set; the Lambda cloud function service scheduling the set of Lambda functions to a cloud function engine that executes a cloud function to cause the Lambda cloud function service to complete a task event;
the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
the BPMN flow engine parses the next task information. The execution logic and the scheduling logic are separated, so that a process engine server is concentrated on the scheduling logic of the process, the light weight is kept, and the cloud function-based execution unit has the good architectural characteristics of cross-language, high expansion, distribution and heterogeneous deployment;
function set-oriented research and development mode enables research and development to be concentrated on codes, the problems of code operation architecture, operation and maintenance implementation and the like are not needed to be concerned, research and development efficiency is improved, and maintenance cost is reduced.
In the invention, from the dependency (dependency) angle, task pairs with sequence relation but no data dependency in the BPMN compiling flow are changed from serial execution to parallel execution, so as to achieve the purpose of improving the compiling efficiency; but it does not address how to solve the above problems, and therefore, there is a particular need for a related art solution.
Example 1
As shown in fig. 1, a cloud resource orchestration method based on cloud functions and BPMN specifications includes the following steps:
s1: the BPMN process engine analyzes the task information and issues the task information to a cloud message service; the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method.
S2: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding Lambda function set according to the method for triggering the cloud function by the queue number and the method;
s3: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: and the BPMN process engine drives the process to analyze the next task information.
The communication format of the release task information is detailed as shown in the following table 1:
TABLE 1 communication Format parameters for publishing task information
The BPMN flow engine drives a communication process of the Lambda cloud function service, as shown in fig. 2, the BPMN flow engine issues a task to the cloud message service, the cloud message service triggers and starts the Lambda cloud function service, executes a Lambda function set, can schedule cloud resources including ARM, X86, and other architectures to create a virtual machine, balance loads, and the like, and after an event is completed, issues completion event information to the cloud message service, and after the engine receives the completion event information, the engine continues to drive the flow to execute; the service expandability is enhanced, and better resource flexibility is achieved; the service logic pressure of the engine server is dispersed, the execution logic and the scheduling logic are separated, so that the operation of the logic of the engine server can be concentrated, the integral light weight is kept, the quick response capability is better, and the efficient research, development, management and operation and maintenance are facilitated.
Example 2
The arrangement method of the invention defines the process of triggering arrangement rollback when the arrangement fails, and comprises the following steps:
s1: and the cloud function service fails to execute the task, and issues an event of a failure state to the BPMN process engine through the cloud message service.
S2: and after receiving the failure event, the BPMN process engine reversely selects the previous task event according to the process scheduling sequence and issues the selected task event to the cloud message service. The communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method. method is designated as rollback.
Triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding rollback Lambda function set according to the queue number and the method for triggering rollback method of the cloud function;
s3: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: and the BPMN process engine driving process reversely analyzes the last task event until the rollback driving of all task events is completed.
Example 3
The editing method of the invention defines the process of deleting editing resources by taking editing as a unit, and comprises the following steps:
s1: and the BPMN scheduling engine receives the deletion event, selects a target flow, reversely analyzes the task event of the flow and issues the selected task event to the cloud message service. The communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method. method is designated delete.
S2: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding Lambda function deleting set according to the queue number and the delete method of the method triggering cloud functions;
s3: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: and the BPMN process engine driving process reversely analyzes the last task event until the deletion driving of all task events is completed.
Example 4
The editing method of the invention defines the flow process of canceling the running process, and comprises the following steps:
s1: the BPMN layout engine receives the cancel event, selects a target flow, reversely analyzes the task event of the flow and issues the selected task event to the cloud message service. The communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method. method is designated as cancel.
S2: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding Lambda function canceling set according to the queue number and the cancel method for triggering the cloud function by the method;
s3: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: and the BPMN process engine driving process reversely analyzes the previous task event until the cancellation driving of all task events is completed.
Example 5
The arrangement of the invention defines the process of entering a debugging mode when the process fails to run and then initiating retry, and comprises the following steps:
s1: and the cloud function service fails to execute the task, and issues an event of a failure state to the BPMN process engine through the cloud message service.
S2: after receiving the failure event, the BPMN flow engine judges that if the system allows debugging, the scheduling of the flow is suspended, and the current flow state is in debugging and the current task is failure.
S3: and the user temporarily modifies the operation parameters of the task event, initiates a retry operation, and the BPMN process engine issues the task event to the cloud message service.
S4: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding Lambda function set according to the method for triggering the cloud function by the queue number and the method;
s5: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s6: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s7: the BPMN process engine driving process analyzes the next task information, the process resumes normal operation, and the subsequent process is the same as in embodiment 1.
Example 6
The arrangement of the invention defines the process of entering a debugging mode when the process fails to run, and then finishing the debugging, and the invention comprises the following steps:
s1: and the cloud function service fails to execute the task, and issues an event of a failure state to the BPMN process engine through the cloud message service.
S2: after receiving the failure event, the BPMN flow engine judges that if the system allows debugging, the scheduling of the flow is suspended, and the current flow state is in debugging and the current task is failure.
S3: the user abandons the current flow process and selects to end the current flow
S4: and after receiving the end event, the BPMN process engine reversely selects the previous task event according to the process scheduling sequence and issues the selected task event to the cloud message service. The communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method. method is designated as rollback.
S5: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding rollback Lambda function set according to the queue number and the method for triggering rollback method of the cloud function;
s6: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s7: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s8: and the BPMN process engine driving process reversely analyzes the last task event until the rollback driving of all task events is completed.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, so that any simple modification, equivalent change and modification made to the above embodiment according to the technical spirit of the present invention will still fall within the scope of the technical solution of the present invention without departing from the content of the technical solution of the present invention.
Claims (8)
1. A cloud resource arranging method based on cloud functions and BPMN specifications is characterized by comprising the following steps:
s1: the BPMN process engine analyzes the task information and issues the task information to a cloud message service;
s2: triggering and starting the Lambda cloud function service by the cloud message service according to the task information, and selecting a corresponding Lambda function set;
s3: the Lambda cloud function service scheduling the set of Lambda functions to a cloud function engine that executes a cloud function to cause the Lambda cloud function service to complete a task event;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: the BPMN flow engine parses the next task information.
2. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 1, wherein: the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method.
3. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 2, wherein step S2 further comprises:
and selecting a corresponding Lambda function set according to the method for triggering the cloud function by the queue number and the method.
4. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 1, wherein: the arrangement method defines a process for triggering arrangement rollback when arrangement fails, and comprises the following steps:
1) the cloud function service fails to execute the task, and issues an event of a failure state to the BPMN process engine through the cloud message service;
2) after receiving the failure event, the BPMN process engine reversely selects the previous task event according to the process scheduling sequence and issues the selected task event to the cloud message service;
the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method; method is designated rollback;
triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding rollback Lambda function set according to the queue number and the method for triggering rollback method of the cloud function;
3) the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
4) and the BPMN process engine driving process reversely analyzes the last task event until the rollback driving of all task events is completed.
5. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 1, wherein: the editing method defines the process of deleting editing resources by taking editing as a unit, and comprises the following steps:
s1: the BPMN layout engine receives the deletion event, selects a target flow, reversely analyzes the task event of the flow and issues the selected task event to a cloud message service; the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method; method is designated as delete;
s2: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding Lambda function deleting set according to the queue number and the delete method of the method triggering cloud functions;
s3: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: and the BPMN process engine driving process reversely analyzes the last task event until the deletion driving of all task events is completed.
6. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 1, wherein: the editing method defines a flow process in operation of canceling, and comprises the following steps:
s1: the BPMN layout engine receives a cancel event, selects a target flow, reversely analyzes the task event of the flow and issues the selected task event to a cloud message service;
the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method; method is designated cancel;
s2: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding Lambda function canceling set according to the queue number and the cancel method for triggering the cloud function by the method;
s3: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s4: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s5: and the BPMN process engine driving process reversely analyzes the previous task event until the cancellation driving of all task events is completed.
7. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 1, wherein: the arrangement defines the process of entering a debugging mode when the flow fails to run and then initiating retry, and comprises the following steps:
s1: the cloud function service fails to execute the task, and issues an event of a failure state to the BPMN process engine through the cloud message service;
s2: after receiving the failure event, the BPMN process engine judges that if the system allows debugging, the scheduling of the process is suspended, and the current process state is in debugging and the current task is failure;
s3: the user temporarily modifies the operation parameters of the task event, initiates a retry operation, and the BPMN process engine issues the task event to a cloud message service;
s4: triggering and starting a Lambda cloud function service by the cloud message service according to the task information, and selecting a corresponding Lambda function set according to the method for triggering the cloud function by the queue number and the method;
s5: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s6: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s7: and the BPMN process engine drives the process to analyze the next task information, and the process is recovered to normally run.
8. The cloud resource orchestration method based on cloud functions and BPMN specifications according to claim 1, wherein: the process of entering a debugging mode and then finishing debugging when the process fails to run is defined by the arrangement, and the process comprises the following steps:
s1: the cloud function service fails to execute the task, and issues an event of a failure state to the BPMN process engine through the cloud message service;
s2: after receiving the failure event, the BPMN process engine judges that if the system allows debugging, the scheduling of the process is suspended, and the current process state is in debugging and the current task is failure;
s3: the user gives up the current flow process and selects to end the current flow;
s4: after receiving the end event, the BPMN process engine reversely selects the previous task event according to the process scheduling sequence and issues the selected task event to the cloud message service; the communication format for releasing the task information comprises a queue number and a method for triggering a cloud function by a method; method is designated rollback;
s5: triggering and starting Lambda cloud function service by the cloud message service according to task information, and selecting a corresponding rollback Lambda function set according to the queue number and the method for triggering rollback method of the cloud function;
s6: the Lambda cloud function service dispatches the set of Lambda functions to a cloud function engine, the cloud function engine executes a cloud function to cause the Lambda cloud function service to complete a task event, and a cloud platform releases computing resources of Lambda instances; different CPU architectures, and cloud resource scheduling of different virtualization architectures are performed by corresponding cloud function engines;
s7: the Lambda cloud function service issues the task completion event to the BPMN process engine through the cloud message service;
s8: and the BPMN process engine driving process reversely analyzes the last task event until the rollback driving of all task events is completed.
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| CN105007323A (en) * | 2015-07-22 | 2015-10-28 | 上海斐讯数据通信技术有限公司 | System and method for arranging cloud resources |
| CN106920034A (en) * | 2017-02-07 | 2017-07-04 | 云南大学 | A kind of method and system of excavation BPMN Planning procedure concurrencys |
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| CN102546735A (en) * | 2011-01-04 | 2012-07-04 | 中兴通讯股份有限公司 | Cloud computing system, cloud computing method and cloud |
| CN105007323A (en) * | 2015-07-22 | 2015-10-28 | 上海斐讯数据通信技术有限公司 | System and method for arranging cloud resources |
| CN106920034A (en) * | 2017-02-07 | 2017-07-04 | 云南大学 | A kind of method and system of excavation BPMN Planning procedure concurrencys |
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