CN114237914A - Management scheduling system based on hybrid cloud - Google Patents
Management scheduling system based on hybrid cloud Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/54—Interprogram communication
- G06F9/546—Message passing systems or structures, e.g. queues
Abstract
The invention relates to the technical field of cloud computing, in particular to a hybrid cloud management-based scheduling system. The system comprises a hybrid cloud control unit, a private cloud connected with the hybrid cloud control unit, and at least one or more public clouds, a task management unit, a data management unit, a communication service module and a standard interface management module; the hybrid cloud control unit is used for mapping resources of the public cloud and the private cloud; the task management unit is used for sending the task instruction to a service cloud for executing the task; the data management unit is used for storing data and realizing data exchange; the communication service module is used for decoupling module communication; the standard interface management module is used for providing a standard external interface. The design of the invention can improve the scheduling management efficiency of tasks and resources, is suitable for different application systems, and is convenient for users to manage and control scheduling work; the communication efficiency in the task management process can be improved, and the application cost is reduced; the data confusion can be avoided, and the management level of the system is improved.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a hybrid cloud management-based scheduling system. .
Background
The cloud service mainly comprises a private cloud and a public cloud. Due to safety considerations, enterprises prefer to store data in private clouds, and with rapid development of computers and network technologies, explosive growth of information data makes demands for computing resources of people increasingly huge, so that enterprises want to obtain computing resources of public clouds while applying the private clouds, and under the circumstance, hybrid clouds come into play. The hybrid cloud mixes and matches the public cloud and the private cloud, provides a multi-type computing resource sharing pool in an available, convenient and on-demand mode, can obtain the best effect, can achieve the purposes of saving money and being safe, and is the main mode and development direction of cloud computing in recent years.
However, in the application process of the hybrid cloud in the prior art, there are problems of low adaptive capacity and scheduling efficiency, and especially in task collaboration and data sharing management operations between a private cloud and a public cloud in the system, the task management is disordered and communication messages are delayed, so that the hybrid cloud-based management scheduling system has a poor working effect. Meanwhile, the interface form of the existing management scheduling system based on the hybrid cloud is single, so that many other application systems are difficult to call or even cannot be called. In order to solve the communication limitation of the task scheduling management process, a communication scheme is often required to be additionally built, so that the application cost is increased. In view of this, we propose a hybrid cloud-based management scheduling system.
Disclosure of Invention
The invention aims to provide a hybrid cloud management-based scheduling system to solve the problems in the background art.
In order to solve the technical problems, one of the objectives of the present invention is to provide a hybrid cloud management-based scheduling system, which includes a hybrid cloud control unit, a private cloud connected to the hybrid cloud control unit, and at least one or more public clouds, a task management unit, a data management unit, a communication service module, and a standard interface management module; the hybrid cloud control unit, the task management unit, the data management unit and the communication service module are sequentially connected through network communication, and the hybrid cloud control unit is connected with the standard interface management module in a communication mode; wherein:
the hybrid cloud control unit is used for carrying out standardized mapping on all resources of the public cloud environment and the private cloud environment through an abstract cloud model so as to support smooth operation of the system;
the task management unit is used for acquiring original task information, determining a service cloud for executing the task in the system according to the keyword analysis of the operation instruction in the original task information, and sending the operation instruction of the task to the service cloud;
the data management unit is used for storing and managing the data processed by the hybrid cloud control unit, identifying the target cloud coming and going in the data exchange and realizing the data exchange;
the communication service module is used for decoupling communication among all units/modules in the system and managing messages in the communication process;
the standard interface management module is used for providing and managing a standardized external interface so as to support the connection and calling of other systems and the management scheduling system.
As a further improvement of the technical solution, the hybrid cloud control unit includes a cloud discovery module, an inspection and correction module, and a standard mapping module; the signal output end of the cloud discovery module is connected with the signal input end of the checking and correcting module, and the signal output end of the checking and correcting module is connected with the signal input end of the standard mapping module; wherein:
the cloud discovery module is used for discovering all clouds in the system in the instant communication process and establishing cloud connection according to the discovery;
the checking and checking module is used for checking and checking data and system interfaces in the public cloud environment and the private cloud environment;
and the standard mapping module is used for carrying out unified standardized conversion processing on data or system interfaces with inconsistency in the public cloud environment and the private cloud environment according to a preset standard rule.
As a further improvement of the technical scheme, the private cloud is used for deploying important data and tasks in system application management, and the public cloud is used for deploying non-important data and tasks in system application management; data and tasks between the private cloud and the public cloud can be shared and exchanged within application permission; and the private cloud and the public cloud are in communication connection in the same virtual network environment in the operation process of the management scheduling system.
As a further improvement of the technical solution, the task management unit includes a workflow module, a task management node, a task execution node, and a process management module; the workflow module, the task management node, the task execution node and the process management module are sequentially connected through network communication; wherein:
the workflow module is used for managing the service flows of all original tasks and distributing the scheduling of each workflow task to a target private cloud/public cloud for executing the task to execute;
the task management node is used for acquiring original task information to be executed and issuing the task to a message queue;
the task execution node is used for acquiring a dynamic key of the cloud service platform to establish information connection, and acquiring and executing task information from a corresponding message queue;
the process management module is used for monitoring and processing task scheduling and executing processes of each module in the task management unit; the monitoring and processing mode of the process management includes but is not limited to: one or more of compliance detection, monitoring data collection analysis, alarm data record notification, log data record statistics, and the like.
As a further improvement of the technical solution, the workflow module includes task allocation and resource allocation; the task allocation and the resource allocation run in parallel; wherein: the task allocation is used for allocating and scheduling all original tasks to be executed and safely identifying data in the task allocation process; and the resource allocation is used for carding and clearing system resources capable of executing the task instructions and allocating the system resources to each task to be executed according to a preset rule.
As a further improvement of the technical solution, the data management unit includes a data storage module, a target cloud module and a data exchange module; the data storage module operates independently, and the signal output end of the target cloud module is connected with the signal input end of the data exchange module; wherein:
the data storage module is used for carrying out classified storage management on all data processed by the hybrid cloud control unit;
the target cloud module is used for determining a target cloud service for performing joint execution tasks or data sharing in a task scheduling process, and the target cloud can be a private cloud and/or a public cloud;
the data exchange module is used for realizing data sharing and exchange processing between two or more cloud services.
As a further improvement of the technical solution, the target cloud module includes a sending cloud and a receiving cloud; the sending cloud and the receiving cloud exist oppositely, the sending cloud and the receiving cloud cannot serve the same cloud, and the number of the sending cloud and the number of the receiving cloud can be one or more; wherein: the sending cloud is used for sending out the specified tasks or data in the application permission; and the receiving cloud is used for receiving the designated tasks or data shared by the sending cloud.
As a further improvement of the technical solution, the data exchange module includes a to-be-sent data pool and a to-be-received data pool; the data pool to be sent and the data pool to be received coexist in parallel, the signal input end of the data pool to be sent is connected with the signal output end of the sending cloud, the signal output end of the data pool to be sent is connected with the signal input end of the data pool to be received, and the signal output end of the data pool to be received is connected with the signal input end of the receiving cloud; wherein: the data pool to be sent is used for receiving and temporarily storing data from the sending cloud according to the operation instruction, extracting target data and forwarding the target data to the data pool to be received according to a preset transmission mode; and the to-be-received data pool is used for receiving and temporarily storing the target data from the to-be-sent data pool and forwarding the target data to the receiving cloud.
As a further improvement of the present technical solution, the communication service module includes a message queue module; the message queue module is used for filtering all communication messages and routing the filtered messages to ensure the transmission of the messages;
the message queue module comprises a task message queue and a feedback message queue; the task message queue and the feedback message queue are in parallel coexistence and are in one-to-one correspondence; wherein: the task message queue corresponds to the task management node and is used for sending task messages to the corresponding task execution node; the feedback message queue is connected with the task management node and the task execution node, and the task execution node verifies the information executed by the task and feeds back the execution result to the task management node.
As a further improvement of the technical scheme, the system is externally connected with an application system through the standard interface management module, and the standard interface management module is used for providing support of application service for one or more other application systems to call the management scheduling system, so that the problem that other systems cannot be called or are difficult to call is avoided.
Another object of the present invention is to provide an operating apparatus based on a hybrid cloud management scheduling system, which includes a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the processor is configured to implement any one of the hybrid cloud management scheduling systems when executing the computer program.
It is a further object of the present invention to provide a computer-readable storage medium, which stores a computer program, which when executed by a processor implements any of the hybrid cloud management-based scheduling systems described above.
Compared with the prior art, the invention has the beneficial effects that:
1. the hybrid cloud management-based scheduling system carries out standard conversion and mapping on the environment resources of the private cloud and the public cloud through the hybrid cloud control unit, can ensure that the standards of the hybrid cloud environment are unified, is convenient for the execution of tasks in different cloud services, improves the scheduling management efficiency of the tasks and the resources, is managed through a standard interface, is suitable for different application systems, is simpler and easier to use, and is convenient for a user to manage and control scheduling work;
2. the hybrid cloud management-based scheduling system distributes tasks and resources through the workflow, and sets the task message queue and the feedback message queue between task management and task execution, so that the communication efficiency in the task management process can be improved, the messages are ensured to be timely and accurate, a communication scheme is not required to be additionally established, and the application cost is reduced;
3. according to the hybrid cloud-based management scheduling system, data are subjected to classified management, so that rapid and clear-organized data exchange among different cloud services is realized, data chaos can be avoided, and the management level of the system is improved.
Drawings
FIG. 1 is a block diagram of the overall system architecture of the present invention;
FIG. 2 is a block diagram of a local system architecture according to the present invention;
FIG. 3 is a second block diagram of the local system architecture of the present invention;
FIG. 4 is a third block diagram of a local system architecture according to the present invention;
FIG. 5 is a block diagram of a local system architecture of the present invention;
FIG. 6 is a schematic block diagram illustrating the application of a message queue in a task management unit according to the present invention;
FIG. 7 is a block diagram of an exemplary electronic computer product device according to the present invention.
The various reference numbers in the figures mean:
1. a hybrid cloud control unit; 11. a cloud discovery module; 12. checking and correcting the module; 13. a standard mapping module;
2. a private cloud;
3. a public cloud;
4. a task management unit; 41. a workflow module; 411. distributing tasks; 412. resource allocation; 42. a task management node; 43. a task execution node; 44. a process management module;
5. a data management unit; 51. a data storage module; 52. a target cloud module; 521. sending a cloud; 522. receiving a cloud; 53. a data exchange module; 531. a pending data pool; 532. a data pool to be received;
6. a communication service module; 61. a message queue module; 611. a task message queue; 612. a feedback message queue;
7. a standard interface management module;
8. and (4) applying the system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1 to 7, the present embodiment provides a hybrid cloud management-based scheduling system, which includes a hybrid cloud control unit 1, a private cloud 2 connected to the hybrid cloud control unit 1, at least one or more public clouds 3, a task management unit 4, a data management unit 5, a communication service module 6, and a standard interface management module 7; the hybrid cloud control unit 1, the task management unit 4, the data management unit 5 and the communication service module 6 are sequentially connected through network communication, and the hybrid cloud control unit 1 is connected with the standard interface management module 7 in a communication mode; wherein:
the hybrid cloud control unit 1 is used for performing standardized mapping on all resources of a public cloud environment and a private cloud environment through an abstract cloud model so as to support smooth operation of a system;
the task management unit 4 is configured to acquire original task information, determine a service cloud for executing a task in the system according to keyword analysis of an operation instruction in the original task information, and send the operation instruction of the task to the service cloud;
the data management unit 5 is used for performing storage management on the data processed by the hybrid cloud control unit 1, identifying a target cloud coming and going in data exchange, and realizing data exchange;
the communication service module 6 is used for decoupling communication among each unit/module in the system and managing messages in the communication process;
the standard interface management module 7 is used for providing and managing a standardized external interface to support connection calling of other systems and the management scheduling system.
In this embodiment, the hybrid cloud control unit 1 includes a cloud discovery module 11, an inspection and correction module 12, and a standard mapping module 13; the signal output end of the cloud discovery module 11 is connected with the signal input end of the checking and proofreading module 12, and the signal output end of the checking and proofreading module 12 is connected with the signal input end of the standard mapping module 13; wherein:
the cloud discovery module 11 is used for discovering all clouds in the system in the instant communication process and establishing cloud connection accordingly;
the checking and checking module 12 is used for checking and checking data and system interfaces in the public cloud environment and the private cloud environment;
the standard mapping module 13 is configured to perform unified standardized conversion processing on data or system interfaces in the public cloud environment and the private cloud environment, which are inconsistent, according to a preset standard rule.
In this embodiment, the private cloud 2 is used for deploying important data and tasks in the system application management, and the public cloud 3 is used for deploying non-important data and tasks in the system application management; data and tasks between the private cloud 2 and the public cloud 3 can be shared and exchanged within application permission; the private cloud 2 and the public cloud 3 are in communication connection in the same virtual network environment in the operation process of the management scheduling system.
In this embodiment, the task management unit 4 includes a workflow module 41, a task management node 42, a task execution node 43, and a process management module 44; the workflow module 41, the task management node 42, the task execution node 43 and the process management module 44 are connected in sequence through network communication; wherein:
the workflow module 41 is configured to manage the service flows of all the original tasks, and allocate each workflow task to a target private cloud 2/public cloud 3 for executing the task to be executed;
the task management node 42 is configured to obtain original task information to be executed, and issue the task to the message queue;
the task execution node 43 is configured to acquire a dynamic key of the cloud service platform to establish information connection, and acquire and execute task information from a corresponding message queue;
the process management module 44 is used for monitoring and processing task scheduling and executing processes of each module in the task management unit 4; the monitoring and processing mode of the process management includes but is not limited to: one or more of compliance detection, monitoring data collection analysis, alarm data record notification, log data record statistics, and the like.
Further, the workflow module 41 includes task allocation 411 and resource allocation 412; task allocation 411 runs in parallel with resource allocation 412; wherein: the task allocation 411 is used for allocating and scheduling all original tasks to be executed and safely identifying data in the task allocation process; the resource allocation 412 is used for carding and clearing system resources of the executable task instructions and allocating the system resources to each task to be executed according to preset rules.
In this embodiment, the data management unit 5 includes a data storage module 51, a target cloud module 52, and a data exchange module 53; the data storage module 51 operates independently, and the signal output end of the target cloud module 52 is connected with the signal input end of the data exchange module 53; wherein:
the data storage module 51 is used for performing classified storage management on all data processed by the hybrid cloud control unit 1;
the target cloud module 52 is configured to determine a target cloud service for performing a joint execution task or data sharing in a task scheduling process, where the target cloud may be a private cloud 2 and/or a public cloud 3;
the data exchange module 53 is used for implementing data sharing and exchange processing between two or more cloud services.
Further, target cloud module 52 includes a sending cloud 521 and a receiving cloud 522; the sending cloud 521 and the receiving cloud 522 exist oppositely, the sending cloud 521 and the receiving cloud 522 cannot serve the same cloud, and the number of the sending cloud 521 and the number of the receiving cloud 522 can be one or more; wherein: the sending cloud 521 is used for sending out a specified task or data in the application permission; the receiving cloud 522 is used for receiving the specified tasks or data shared by the sending cloud 521.
Further, the data exchange module 53 includes a to-be-sent data pool 531 and a to-be-received data pool 532; the data pool to be transmitted 531 and the data pool to be received 532 coexist in parallel, a signal input end of the data pool to be transmitted 531 is connected with a signal output end of the transmitting cloud 521, a signal output end of the data pool to be transmitted 531 is connected with a signal input end of the data pool to be received 532, and a signal output end of the data pool to be received 532 is connected with a signal input end of the receiving cloud 522; wherein: the to-be-transmitted data pool 531 is used for receiving and temporarily storing data from the transmitting cloud 521 according to the operation instruction, extracting target data and forwarding the target data to the to-be-received data pool 532 according to a preset transmission mode; the to-be-received data pool 532 is used for receiving, temporarily storing the target data from the to-be-sent data pool 531, and forwarding the target data to the receiving cloud 522.
In this embodiment, the communication service module 6 includes a message queue module 61; the message queue module 61 is configured to filter all communication messages, and perform routing processing on the filtered messages to ensure message transmission;
as shown in fig. 6, wherein: the task message queue 611 corresponds to the task management node 42, and is used for sending task messages to the corresponding task execution node 43; the feedback message queue 612 connects the task management node 42 and the task execution node 43, and the task execution node 43 checks information of task execution and feeds back an execution result to the task management node 42.
In this embodiment, the system is externally connected with an application system 8 through a standard interface management module 7, and the standard interface management module 7 is used for providing support of application services for one or more other application systems 8 to call the management scheduling system, so as to avoid the problem that other systems cannot be called or are difficult to call.
As shown in fig. 7, the present embodiment also provides an operating apparatus based on a hybrid cloud management scheduling system, where the apparatus includes a processor, a memory, and a computer program stored in the memory and running on the processor.
The processor comprises one or more processing cores, the processor is connected with the memory through the bus, the memory is used for storing program instructions, and the hybrid cloud management scheduling system is realized when the processor executes the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the hybrid cloud management-based scheduling system.
Optionally, the present invention also provides a computer program product containing instructions that, when run on a computer, cause the computer to perform the above aspects of the hybrid cloud-based management scheduling system.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, where the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A management scheduling system based on hybrid cloud is characterized in that: the system comprises a hybrid cloud control unit (1), a private cloud (2) connected with the hybrid cloud control unit (1), at least one or more public clouds (3), a task management unit (4), a data management unit (5), a communication service module (6) and a standard interface management module (7); the hybrid cloud control unit (1), the task management unit (4), the data management unit (5) and the communication service module (6) are sequentially in network communication connection, and the hybrid cloud control unit (1) is in communication connection with the standard interface management module (7); wherein:
the hybrid cloud control unit (1) is used for carrying out standardized mapping on all resources of a public cloud environment and a private cloud environment through an abstract cloud model so as to support smooth operation of a system;
the task management unit (4) is used for acquiring original task information, determining a service cloud for executing the task in the system according to the keyword analysis of the operation instruction in the original task information, and sending the operation instruction of the task to the service cloud;
the data management unit (5) is used for storing and managing the data processed by the hybrid cloud control unit (1), identifying the target cloud coming and going in the data exchange and realizing the data exchange;
the communication service module (6) is used for decoupling communication among all units/modules in the system and managing messages coming and going in the communication process;
the standard interface management module (7) is used for providing and managing a standardized external interface to support connection calling of other systems and the management scheduling system.
2. The hybrid cloud management-based scheduling system of claim 1, wherein: the hybrid cloud control unit (1) comprises a cloud discovery module (11), an inspection and proofreading module (12) and a standard mapping module (13); the signal output end of the cloud discovery module (11) is connected with the signal input end of the verification and correction module (12), and the signal output end of the verification and correction module (12) is connected with the signal input end of the standard mapping module (13); wherein:
the cloud discovery module (11) is used for discovering all clouds in the system in the instant communication process and establishing cloud connection accordingly;
the checking and checking module (12) is used for checking and checking data and system interfaces in a public cloud environment and a private cloud environment;
the standard mapping module (13) is used for carrying out unified standardized conversion processing on data or system interfaces with inconsistency in the public cloud environment and the private cloud environment according to a preset standard rule.
3. The hybrid cloud management-based scheduling system of claim 1, wherein: the private cloud (2) is used for deploying important data and tasks in system application management, and the public cloud (3) is used for deploying non-important data and tasks in system application management; data and tasks between the private cloud (2) and the public cloud (3) can be shared and exchanged within application permissions; the private cloud (2) and the public cloud (3) are in communication connection in the same virtual network environment in the operation process of the management scheduling system.
4. The hybrid cloud management-based scheduling system of claim 1, wherein: the task management unit (4) comprises a workflow module (41), a task management node (42), a task execution node (43) and a process management module (44); the workflow module (41), the task management node (42), the task execution node (43) and the process management module (44) are sequentially connected in a network communication manner; wherein:
the workflow module (41) is used for managing the business processes of all original tasks and dispatching and distributing each workflow task to a target private cloud (2)/public cloud (3) for executing the task to execute;
the task management node (42) is used for acquiring original task information to be executed and issuing the task to a message queue;
the task execution node (43) is used for acquiring a dynamic key of the cloud service platform to establish information connection, and acquiring and executing task information from a corresponding message queue;
the process management module (44) is used for monitoring and processing the task scheduling and executing process of each module in the task management unit (4); the monitoring and processing mode of the process management includes but is not limited to: one or more of compliance detection, monitoring data collection analysis, alarm data record notification, log data record statistics, and the like.
5. The hybrid cloud management-based scheduling system of claim 4, wherein: the workflow module (41) comprises a task allocation (411) and a resource allocation (412); the task allocation (411) runs in parallel with the resource allocation (412); wherein: the task allocation (411) is used for allocating and scheduling all original tasks to be executed and safely identifying data in the task allocation process; and the resource allocation (412) is used for carding and clearing the system resources capable of executing the task instructions and allocating the system resources to each task to be executed according to a preset rule.
6. The hybrid cloud management-based scheduling system of claim 4, wherein: the data management unit (5) comprises a data storage module (51), a target cloud module (52) and a data exchange module (53); the data storage module (51) operates independently, and the signal output end of the target cloud module (52) is connected with the signal input end of the data exchange module (53); wherein:
the data storage module (51) is used for carrying out classified storage management on all data processed by the hybrid cloud control unit (1);
the target cloud module (52) is used for determining a target cloud service for performing joint execution tasks or data sharing in a task scheduling process, and the target cloud can be a private cloud (2) and/or a public cloud (3);
the data exchange module (53) is used for realizing data sharing and exchange processing between two or more cloud services.
7. The hybrid cloud management-based scheduling system of claim 6, wherein: the target cloud module (52) comprises a sending cloud (521) and a receiving cloud (522); the sending cloud (521) and the receiving cloud (522) exist oppositely, the sending cloud (521) and the receiving cloud (522) cannot serve the same cloud, and the number of the sending cloud (521) and the number of the receiving clouds (522) can be one or more; wherein: the sending cloud (521) is used for sending out specified tasks or data in the application permission; the receiving cloud (522) is used for receiving the specified tasks or data shared by the sending cloud (521).
8. The hybrid cloud management-based scheduling system of claim 7, wherein: the data exchange module (53) comprises a data pool (531) to be sent and a data pool (532) to be received; the data pool (531) to be sent and the data pool (532) to be received coexist in parallel, a signal input end of the data pool (531) to be sent is connected with a signal output end of a sending cloud (521), a signal output end of the data pool (531) to be sent is connected with a signal input end of the data pool (532) to be received, and a signal output end of the data pool (532) to be received is connected with a signal input end of a receiving cloud (522); wherein: the to-be-sent data pool (531) is used for receiving and temporarily storing data from the sending cloud (521) according to the operation instruction, extracting target data and forwarding the target data to the to-be-received data pool (532) according to a preset transmission mode; the data pool (532) to be received is used for receiving, temporarily storing the target data from the data pool (531) to be sent, and forwarding the target data to the receiving cloud (522).
9. The hybrid cloud management-based scheduling system of claim 4, wherein: the communication service module (6) comprises a message queue module (61); the message queue module (61) is used for filtering all communication messages and routing the filtered messages to ensure the transmission of the messages;
the message queue module (61) comprises a task message queue (611) and a feedback message queue (612); the task message queue (611) and the feedback message queue (612) are in parallel coexistence and are in one-to-one correspondence; wherein: the task message queue (611) corresponds to a task management node (42) and is used for sending task messages to a corresponding task execution node (43); the feedback message queue (612) is connected with the task management node (42) and the task execution node (43), and the task execution node (43) checks the information of task execution and feeds back the execution result to the task management node (42).
10. The hybrid cloud management-based scheduling system of claim 1, wherein: the system is externally connected with an application system (8) through the standard interface management module (7), and the standard interface management module (7) is used for providing support of application service for one or more other application systems (8) to call the management scheduling system, so that the problem that other systems cannot be called or are difficult to call is avoided.
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