CN104102541B - Sign-off dynamic adjusting method and system - Google Patents

Abstract

A method for dynamically adjusting sign-off, the method comprising the steps of: obtaining in real time specified parameters of each server currently used to process sign-off tasks; comparing the obtained specified parameters with the first preset value and the size of the second preset value; Judging the status of each server currently used to process the sign-off task; adjusting the number of servers used to process the sign-off task according to the status of each server; reallocating the remaining sign-off tasks to the adjusted servers . The invention also provides a sign-off dynamic adjustment system. The present invention can dynamically adjust the hardware resource used when processing the sign-off task.

Description

Approval dynamic adjustment method and system

technical field

The present invention relates to a method and system for resource management, in particular to a method and system for dynamic adjustment of sign-off.

Background technique

Distributed applications have greatly improved the processing capabilities of the sign-off system. However, not all time periods for processing sign-off tasks require the same hardware resource support. If the hardware resources can be dynamically adjusted reasonably and the existing hardware resources can be fully utilized, the overall cost of the sign-off system can be effectively reduced.

Contents of the invention

In view of the above, it is necessary to provide a method for dynamically adjusting the signoff, which can dynamically adjust the hardware resources used in processing the signoff tasks.

In view of the above, it is also necessary to provide a dynamic adjustment system for sign-off, which can dynamically adjust the hardware resources used in processing sign-off tasks.

The dynamic adjustment method for sign-off includes: obtaining step: obtaining in real time the designated parameters of each server currently used to process the sign-off task; comparing step: comparing the obtained designated parameters with the first preset value and the second preset value Size; judging step: according to the comparison result, judging the state of each server currently used to process the sign-off task; adjusting step: adjusting the number of servers used to process the sign-off task according to the state of each server; And distribution step: redistribute the remaining sign-off tasks to the adjusted servers.

The sign-off dynamic adjustment system includes: an acquisition module, used to acquire in real time the specified parameters of each server currently used to process the sign-off task; a comparison module, used to compare the acquired specified parameters with the first preset value, the second The size of the preset value; the judgment module is used to judge the status of each server currently used to process the sign-off task according to the comparison result; the adjustment module is used to adjust the status of each server according to the status of each server. The number of servers for signing off tasks; and an allocation module, configured to reallocate the remaining signing tasks to the adjusted servers.

Compared with the prior art, the dynamic adjustment method and system for sign-off can dynamically adjust the hardware resources used according to the resource requirements of each time period when processing sign-off tasks, so as to achieve the purpose of energy saving and cost reduction.

Description of drawings

Fig. 1 is an operating environment diagram of a preferred embodiment of the signoff dynamic adjustment system of the present invention.

Fig. 2 is a functional block diagram of a preferred embodiment of the signoff dynamic adjustment system of the present invention.

Fig. 3 is a flow chart of a preferred embodiment of the method for dynamically adjusting the signature of the present invention.

Description of main component symbols

server 1 Sign-off dynamic adjustment system 10 memory 20 CPU 30 get module 100 compare module 200 judgment module 300 adjustment module 400 distribution module 500 execution module 600

The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings.

detailed description

Referring to FIG. 1 , it is an operating environment diagram of a preferred embodiment of the signoff dynamic adjustment system of the present invention. When performing distributed sign-off, usually multiple servers 1 (three are shown in FIG. 1 as a representative) are required to complete each sign-off task, and the sign-off dynamic adjustment system 10 runs on one or more of the servers 1 middle. The server 1 also includes a memory 20 and a CPU 30 connected through data lines or signal lines.

Referring to FIG. 2 , it is a functional block diagram of a preferred embodiment of the signoff dynamic adjustment system of the present invention.

The sign-off dynamic adjustment system 10 includes an acquisition module 100 , a comparison module 200 , a judgment module 300 , an adjustment module 400 , an allocation module 500 and an execution module 600 .

The obtaining module 100 is used to obtain the specified parameters of each server 1 currently used to process the sign-off task in real time. The specified parameters are mainly state parameters of the CPU 30 , such as the CPU 30 occupancy. In this embodiment, the usage of the CPU 30 is taken as an example for description. The task of signing off includes signing off by an agent, signing off by a supervisor, and the like.

The comparison module 200 is used for comparing the acquired CPU 30 usage with the first preset value and the second preset value. In this embodiment, the first preset value is 80%, and the second preset value is 20%.

The judging module 300 is configured to judge the status of each server 1 currently used to process the sign-off task according to the comparison result. In this embodiment, the status of the server 1 includes overload, idle and normal status. When the usage of the CPU 30 is greater than the first preset value, the server 1 is in an overloaded state. When the usage of the CPU 30 is less than the second preset value, the server 1 is in an idle state. When the usage of the CPU 30 is between the first preset value and the second preset value (less than or equal to the first preset value and greater than or equal to the second preset value), the server 1 is in a normal state.

The adjustment module 400 is configured to adjust the number of servers 1 used to process the sign-off task according to the status of each server 1 . In this embodiment, when the server 1 is in an overloaded state, the adjustment module 400 adds a server 1 for processing the sign-off task. When the server 1 is in an idle state, the adjustment module 400 reduces one server 1 for processing the sign-off task. When the server 1 is in a normal state, the adjustment module 400 keeps the number of servers 1 used to process the sign-off task unchanged.

The allocation module 500 is used to reallocate the remaining sign-off tasks to the adjusted servers 1 . For example, assuming that there were two servers 1 used to process sign-off tasks before, and the two servers 1 were in an overloaded state, then the adjustment module 400 added a server 1 to process sign-off tasks, and the allocation module 500 allocated The remaining sign-off tasks for the two servers 1 are redistributed to the three servers 1 . The remaining sign-off tasks are sign-off tasks that have not been completed before reallocation.

The executing module 600 is used to control each adjusted server 1 to start executing the remaining sign-off tasks.

Referring to FIG. 3 , it is a flow chart of a preferred embodiment of the signature dynamic adjustment method of the present invention.

Step S10, the obtaining module 100 obtains in real time the specified parameters of each server 1 currently used to process the sign-off task. The specified parameters are mainly state parameters of the CPU 30 , such as the CPU 30 occupancy. In this embodiment, the usage of the CPU 30 is taken as an example for description.

Step S12 , the comparison module 200 compares the acquired CPU 30 usage with the first preset value and the second preset value. In this embodiment, the first preset value is 80%, and the second preset value is 20%.

Step S14, the judging module 300 judges the status of each server 1 currently used to process the sign-off task according to the comparison result. In this embodiment, the status of the server 1 includes overload, idle and normal status.

Step S16, the adjustment module 400 adjusts the number of servers 1 used to process the sign-off task according to the status of each server 1 . In this embodiment, when the server 1 is in an overloaded state, the adjustment module 400 adds a server 1 for processing the sign-off task. When the server 1 is in an idle state, the adjustment module 400 reduces one server 1 for processing the sign-off task. When the server 1 is in a normal state, the adjustment module 400 keeps the number of servers 1 used to process the sign-off task unchanged.

In step S18, the allocation module 500 reallocates the remaining sign-off tasks to the adjusted servers 1 .

Step S20, the execution module 600 controls each server 1 after adjustment to start executing the remaining sign-off tasks.

In the dynamic adjustment method for sign-off, the above-mentioned process is carried out cyclically, and the relevant parameters of each server 1 are obtained in real time, thereby dynamically adjusting the number of servers 1 used to process the sign-off task in real time, increasing the number when the server 1 is overloaded, Reduce the pressure on the current server 1, reduce the number of servers 1 when they are idle, and release resources until the last server 1 is left to process the sign-off task.

The above embodiments are only used to illustrate the technical solutions of the present invention without limitation. Although the present invention has been described in detail with reference to preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced. Without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. A dynamic adjustment method for sign-off, characterized in that the method comprises: Acquisition step: obtain the specified parameters of each server currently used to process the sign-off task in real time; Comparing step: comparing the obtained specified parameter with the first preset value and the second preset value; Judging step: according to the comparison result, judge the state of each server currently used to process the sign-off task, wherein the state of the server includes overload and idle state, when the specified parameter is greater than the first preset value, the server In an overload state, when the specified parameter is less than a second preset value, the server is in an idle state; Adjustment step: adjust the number of servers used to process the sign-off task according to the status of each server; and Assignment step: reassign the remaining sign-off tasks to the adjusted servers. 2 . The method for dynamically adjusting signoff according to claim 1 , wherein the specified parameters include CPU usage of each server. 3 . 3. The dynamic adjustment method for signing off as claimed in claim 1, characterized in that the method further comprises the steps of: Each server after the control adjustment starts to execute the remaining sign-off tasks. 4. The dynamic adjustment method for sign-off according to claim 1, wherein the state of the server further includes a normal state, when the specified parameter is less than or equal to the first preset value and greater than or equal to the second preset value , the server is in a normal state. 5. The dynamic adjustment method for signing off as claimed in claim 4, characterized in that, in the adjustment step: When the server is overloaded, add a server to handle the sign-off task; When the server is idle, one less server is used to process the sign-off task; and When the server is in a normal state, the number of servers used to process the sign-off task remains unchanged. 6. A sign-off dynamic adjustment system, characterized in that the system includes: An acquisition module, configured to acquire in real time the specified parameters of each server currently used to process the sign-off task; A comparison module, configured to compare the obtained specified parameters with the first preset value and the second preset value; The judging module is used to judge the state of each server currently used to process the sign-off task according to the comparison result, wherein the state of the server includes overload and idle state, and when the specified parameter is greater than the first preset value, the The server is in an overload state, and when the specified parameter is less than a second preset value, the server is in an idle state; An adjustment module, configured to adjust the number of servers used to process the sign-off task according to the status of each server; and The distribution module is used to redistribute the remaining sign-off tasks to the adjusted servers. 7. The sign-off dynamic adjustment system according to claim 6, wherein the specified parameters include CPU usage of each server. 8. The sign-off dynamic adjustment system according to claim 6, characterized in that the system further comprises: The control module is used to control each adjusted server to start to execute the remaining sign-off tasks. 9. The sign-off dynamic adjustment system according to claim 6, wherein the state of the server further includes a normal state, when the specified parameter is less than or equal to the first preset value and greater than or equal to the second preset value , the server is in a normal state. 10. The sign-off dynamic adjustment system according to claim 9, characterized in that: When the server is in an overload state, the adjustment module adds a server for processing the sign-off task; When the server is in an idle state, the adjustment module reduces one server for processing the sign-off task; and When the server is in a normal state, the adjustment module keeps the number of servers used to process the sign-off task unchanged.