CN114860391A - Network operation data scheduling method and system - Google Patents

Abstract

The embodiment of the invention provides a network operation data scheduling method and a system, when a network operation thread provided by a service on a network operation line needs to be scheduled, a network service object to be operated is obtained from a schedulable queue of a server; the schedulable queue is one or more distributed schedulable queues divided among the scheduling queues of the server. And then, generating an operation scheduling request according to the network service object to be operated, wherein the operation scheduling request carries the network service object to be operated, and sending the operation scheduling request to the service on the network operation line, so that the service on the network operation line carries out scheduling index according to the network service object to be operated carried in the operation scheduling request, after the scheduling index is successful, the network operation thread is scheduled to obtain a scheduling node corresponding to the network service object to be operated, and service distribution data corresponding to the network service object to be operated is scheduled and operated based on the scheduling node. Therefore, the scheduling operation of the service distribution data can be effectively carried out.

Description

Network operation data scheduling method and system

Technical Field

The invention relates to the technical field of computers, in particular to a network operation data scheduling method and system.

Background

How to effectively schedule service distribution data in the management process of network operation data is a technical problem to be solved urgently in the field.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method and a system for scheduling network operation data, which can effectively schedule service distribution data.

According to an aspect of an embodiment of the present invention, a method for obtaining network operation data scheduling is provided, which is applied to a server, and the method includes:

when a network operation thread provided by a service on a network operation line needs to be scheduled, acquiring a network service object to be operated from a schedulable queue of a server; the schedulable queue is one or more distributed schedulable queues divided from the scheduling queue of the server;

generating an operation scheduling request according to the network service object to be operated, wherein the operation scheduling request carries the network service object to be operated, and sending the operation scheduling request to the service on the network operation line, so that the service on the network operation line carries out scheduling index according to the network service object to be operated carried in the operation scheduling request;

after the scheduling index is successful, scheduling the network operation thread to obtain a scheduling node corresponding to the network service object to be operated, and performing scheduling operation on service distribution data corresponding to the network service object to be operated based on the scheduling node;

the schedulable queue is constructed in the scheduling queue of the server, and the construction mode of the schedulable queue comprises the following steps:

scheduling a scheduling script program provided by the operation channel dynamic link library file of the server to acquire a link coverage service of the operation channel dynamic link library file of the server;

creating a link coverage service node sequence adopting the link coverage service in a scheduling queue of the server, and generating an index scheduling extension element of the link coverage service node sequence, wherein the link coverage service node sequence divides the scheduling queue of the server into a schedulable queue and a non-schedulable queue, the schedulable queue refers to a scheduling queue area accommodated by the link coverage service node sequence, the non-schedulable queue refers to a scheduling queue area outside the link coverage service node sequence, and the index scheduling extension element is used for being associated with the schedulable queue and the non-schedulable queue;

the schedulable queue is used for storing specific service distribution data of the server;

the network service object to be operated is data which is generated in the schedulable queue and used for scheduling index; when the network operation thread provided by the service on the network operation line needs to be scheduled, performing frequent pattern mining in the schedulable queue to obtain the network service object to be operated;

the schedulable queue includes an index scheduling extension element;

operation allocation tasks of the server are stored in the schedulable queue, wherein the operation allocation tasks comprise allocation labels and allocation scheduling sequences obtained by registering the server in services on the network operation line; the schedulable queue also stores a frequent pattern mining strategy;

the mining of frequent patterns in the schedulable queue to obtain the network service object to be operated includes:

when the network operation thread provided by the service on the network operation line needs to be scheduled, acquiring the number of the current research and development information list of the server; scheduling the index scheduling expansion elements, and transmitting the number of the current research and development information lists into the schedulable queue;

adopting the frequent pattern mining strategy to carry out frequent pattern mining on the current research and development information list quantity and the operation distribution tasks to obtain the network service object to be operated;

the performing frequent pattern mining on the current research and development information list quantity and the operation allocation task by adopting the frequent pattern mining strategy to obtain the network service object to be operated comprises the following steps:

performing distribution node splicing processing on the distribution scheduling sequence;

taking the number of the current research and development information lists and the allocation scheduling sequences after connection processing as a first frequent pattern mining result, and performing frequent pattern mining on the first frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a first allocation scheduling node sequence; acquiring a service identifier of the network operation thread, taking the service identifier of the network operation thread and the first distribution scheduling node sequence as a second frequent pattern mining result, and performing frequent pattern mining on the second frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a second distribution scheduling node sequence;

and acquiring a strategy indication label of the frequent pattern mining strategy, taking the strategy indication label of the frequent pattern mining strategy and the second distribution scheduling node sequence as a third frequent pattern mining result, and performing frequent pattern mining on the third frequent pattern mining result by adopting the frequent pattern mining strategy to obtain the network service object to be operated.

According to another aspect of the present application, there is provided a network operation data scheduling system applied to a server, the system including:

the system comprises an acquisition module, a scheduling module and a scheduling module, wherein the acquisition module is used for acquiring a network service object to be operated from a schedulable queue of a server when a network operation thread provided by a service on a network operation line needs to be scheduled; the schedulable queue is one or more distributed schedulable queues divided from the scheduling queue of the server;

a generating module, configured to generate an operation scheduling request according to the network service object to be operated, where the operation scheduling request carries the network service object to be operated, and send the operation scheduling request to the network online service, so that the network online service performs scheduling indexing according to the network service object to be operated carried in the operation scheduling request;

the scheduling operation module is used for scheduling the network operation thread to obtain a scheduling node corresponding to the network service object to be operated after the scheduling index is successful, and performing scheduling operation on service distribution data corresponding to the network service object to be operated based on the scheduling node;

wherein, the schedulable queue is constructed in the scheduling queue of the server, and the construction mode of the schedulable queue includes:

scheduling a scheduling script program provided by the operation channel dynamic link library file of the server to acquire a link coverage service of the operation channel dynamic link library file of the server;

creating a link coverage service node sequence adopting the link coverage service in a scheduling queue of the server, and generating an index scheduling extension element of the link coverage service node sequence, wherein the link coverage service node sequence divides the scheduling queue of the server into a schedulable queue and a non-schedulable queue, the schedulable queue refers to a scheduling queue area accommodated by the link coverage service node sequence, the non-schedulable queue refers to a scheduling queue area outside the link coverage service node sequence, and the index scheduling extension element is used for being associated with the schedulable queue and the non-schedulable queue;

the schedulable queue is used for storing specific service distribution data of the server;

the network service object to be operated is data which is generated in the schedulable queue and used for scheduling index; when the network operation thread provided by the service on the network operation line needs to be scheduled, performing frequent pattern mining in the schedulable queue to obtain the network service object to be operated;

the schedulable queue includes an index scheduling extension element;

operation allocation tasks of the server are stored in the schedulable queue, wherein the operation allocation tasks comprise allocation labels and allocation scheduling sequences obtained by registering the server in services on the network operation line; the schedulable queue also stores a frequent pattern mining strategy;

the mining of frequent patterns in the schedulable queue to obtain the network service object to be operated includes:

when the network operation thread provided by the service on the network operation line needs to be scheduled, acquiring the number of the current research and development information list of the server; scheduling the index scheduling expansion elements, and transmitting the number of the current research and development information lists into the schedulable queue;

adopting the frequent pattern mining strategy to carry out frequent pattern mining on the current research and development information list quantity and the operation distribution tasks to obtain the network service object to be operated;

the performing frequent pattern mining on the current research and development information list quantity and the operation allocation task by adopting the frequent pattern mining strategy to obtain the network service object to be operated comprises the following steps:

performing distribution node splicing processing on the distribution scheduling sequence;

taking the number of the current research and development information lists and the allocation scheduling sequences after connection processing as a first frequent pattern mining result, and performing frequent pattern mining on the first frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a first allocation scheduling node sequence; acquiring a service identifier of the network operation thread, taking the service identifier of the network operation thread and the first distribution scheduling node sequence as a second frequent pattern mining result, and performing frequent pattern mining on the second frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a second distribution scheduling node sequence;

and acquiring a strategy indication label of the frequent pattern mining strategy, taking the strategy indication label of the frequent pattern mining strategy and the second distribution scheduling node sequence as a third frequent pattern mining result, and performing frequent pattern mining on the third frequent pattern mining result by adopting the frequent pattern mining strategy to obtain the network service object to be operated.

Compared with the prior art, the network operation data scheduling method and system provided by the embodiment of the invention have the advantages that when the network operation thread provided by the service on the network operation line needs to be scheduled, the network service object to be operated is obtained from the schedulable queue of the server; the schedulable queue is one or more distributed schedulable queues divided among the scheduling queues of the server. And then, generating an operation scheduling request according to the network service object to be operated, wherein the operation scheduling request carries the network service object to be operated, and sending the operation scheduling request to the service on the network operation line, so that the service on the network operation line carries out scheduling index according to the network service object to be operated carried in the operation scheduling request, after the scheduling index is successful, the network operation thread is scheduled to obtain a scheduling node corresponding to the network service object to be operated, and service distribution data corresponding to the network service object to be operated is scheduled and operated based on the scheduling node. Therefore, the scheduling operation of the service distribution data can be effectively carried out.

In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

Drawings

To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for scheduling in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;

fig. 2 is a flowchart illustrating a network operation data scheduling method according to an embodiment of the present invention;

fig. 3 shows a functional block diagram of a network operation data scheduling system according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood by the scholars in the technical field, 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, 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.

The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the technology project objects so used may be interchanged under appropriate circumstances such that embodiments of the invention described herein may, for example, be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Fig. 1 shows an exemplary component schematic of a server 100. The server 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of server 100. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.

The server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112) and for providing various outputs (via output unit 114)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the above-described components together.

The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.

Fig. 2 is a flowchart illustrating a network operation data scheduling method according to an embodiment of the present invention, which may be executed by the server 100 shown in fig. 1, and the detailed steps of the network operation data scheduling method are described as follows.

Step S110, when a network operation thread provided by a service on a network operation line needs to be scheduled, obtaining a network service object to be operated from a schedulable queue of a server. The schedulable queue is one or more distributed schedulable queues divided among the scheduling queues of the server.

Step S120, generating an operation scheduling request according to the network service object to be operated, wherein the operation scheduling request carries the network service object to be operated, and sending the operation scheduling request to the network operation on-line service, so that the network operation on-line service carries out scheduling index according to the network service object to be operated carried in the operation scheduling request.

Step S130, after the scheduling index is successful, the scheduling network operation thread obtains the scheduling node corresponding to the network service object to be operated, and performs scheduling operation on the service distribution data corresponding to the network service object to be operated based on the scheduling node.

The schedulable queue is constructed in the scheduling queue of the server, and the construction mode of the schedulable queue may include: the method comprises the steps of obtaining a link coverage service of an operation channel dynamic link library file of a scheduling server by a scheduling script program provided by the operation channel dynamic link library file of the scheduling server, creating a link coverage service node sequence adopting the link coverage service in a scheduling queue of the server, and generating an index scheduling extension element of the link coverage service node sequence, wherein the link coverage service node sequence divides the scheduling queue of the server into a schedulable queue and a non-schedulable queue, the schedulable queue refers to a scheduling queue area contained in the link coverage service node sequence, the non-schedulable queue refers to a scheduling queue area outside the link coverage service node sequence, the index scheduling extension element is used for being associated with the schedulable queue and the non-schedulable queue, and the schedulable queue is used for storing specific service distribution data of the server. The network service object to be operated is data which is generated in the schedulable queue and used for scheduling index. When a network operation thread provided by a service on a network operation line needs to be scheduled, frequent pattern mining is carried out in a schedulable queue to obtain a network service object to be operated.

The schedulable queue comprises an index scheduling extension element, and operation allocation tasks of the server are stored in the schedulable queue, wherein the operation allocation tasks comprise allocation labels and allocation scheduling sequences obtained by registering the server in services on the network operation line. The schedulable queue also stores frequent pattern mining policies.

And in the process of mining the frequent patterns in the schedulable queue to obtain the network service object to be operated, when a network operation thread provided by the service on the network operation line needs to be scheduled, acquiring the number of the current research and development information list of the server. And scheduling the index scheduling expansion elements, transmitting the quantity of the current research and development information lists into a schedulable queue, and then performing frequent pattern mining on the quantity of the current research and development information lists and operation allocation tasks by adopting a frequent pattern mining strategy to obtain the network service objects to be operated.

For example, the assignment scheduling sequence may be subjected to assignment node splicing processing.

Then, the number of the current research and development information lists and the allocation scheduling sequences after connection processing are used as a first frequent pattern mining result, frequent pattern mining is carried out on the first frequent pattern mining result by adopting a frequent pattern mining strategy, and a first allocation scheduling node sequence is obtained. And acquiring a service identifier of the network operation thread, taking the service identifier of the network operation thread and the first distribution scheduling node sequence as a second frequent pattern mining result, and performing frequent pattern mining on the second frequent pattern mining result by adopting a frequent pattern mining strategy to obtain a second distribution scheduling node sequence.

And finally, acquiring a strategy indication label of the frequent pattern mining strategy, taking the strategy indication label of the frequent pattern mining strategy and the second distribution scheduling node sequence as a third frequent pattern mining result, and performing frequent pattern mining on the third frequent pattern mining result by adopting the frequent pattern mining strategy to obtain the network service object to be operated.

Fig. 3 shows a functional block diagram of a network operation data scheduling system 200 according to an embodiment of the present invention, where the functions implemented by the network operation data scheduling system 200 may correspond to the steps executed by the foregoing method. The network operation data scheduling system 200 may be understood as the server 100 or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of each functional module of the network operation data scheduling system 200 are described in detail below.

An obtaining module 210, configured to obtain a network service object to be operated from a schedulable queue of a server when a network operation thread provided by a service on a network operation line needs to be scheduled; the schedulable queue is one or more distributed schedulable queues divided from the scheduling queue of the server;

the generating module 220 is configured to generate an operation scheduling request according to the network service object to be operated, where the operation scheduling request carries the network service object to be operated, and send the operation scheduling request to the network operation online service, so that the network operation online service performs scheduling index according to the network service object to be operated carried in the operation scheduling request;

the scheduling operation module 230 is configured to, after the scheduling index is successful, schedule a network operation thread to obtain a scheduling node corresponding to a network service object to be operated, and perform scheduling operation on service distribution data corresponding to the network service object to be operated based on the scheduling node;

the schedulable queue is constructed in the scheduling queue of the server, and the construction mode of the schedulable queue comprises the following steps:

scheduling script programs provided by the operation channel dynamic link library file of the scheduling server to obtain link coverage services of the operation channel dynamic link library file of the server;

creating a link coverage service node sequence adopting a link coverage service in a scheduling queue of a server, and generating an index scheduling extension element of the link coverage service node sequence, wherein the link coverage service node sequence divides the scheduling queue of the server into a schedulable queue and a non-schedulable queue, the schedulable queue refers to a scheduling queue area accommodated by the link coverage service node sequence, the non-schedulable queue refers to a scheduling queue area outside the link coverage service node sequence, and the index scheduling extension element is used for being associated with the schedulable queue and the non-schedulable queue;

the schedulable queue is used for storing specific service distribution data of the server;

the network service object to be operated is data which is generated in the schedulable queue and used for scheduling index; when a network operation thread provided by a service on a network operation line needs to be scheduled, performing frequent pattern mining in a schedulable queue to obtain a network service object to be operated;

the schedulable queue includes an index scheduling extension element;

the operation allocation tasks of the servers are stored in the schedulable queue, and comprise allocation labels and allocation scheduling sequences obtained by registering the servers in services on a network operation line; the schedulable queue also stores a frequent pattern mining strategy;

performing frequent pattern mining in the schedulable queue to obtain a network service object to be operated, including:

when a network operation thread provided by a service on a network operation line needs to be scheduled, acquiring the number of a current research and development information list of a server; scheduling index scheduling expansion elements, and transmitting the number of the current research and development information lists into a schedulable queue;

adopting a frequent pattern mining strategy to carry out frequent pattern mining on the number of the current research and development information lists and operation distribution tasks to obtain a network service object to be operated;

adopting a frequent pattern mining strategy to carry out frequent pattern mining on the number of the current research and development information lists and the operation distribution tasks to obtain a network service object to be operated, wherein the frequent pattern mining strategy comprises the following steps:

performing distribution node splicing processing on the distribution scheduling sequence;

taking the number of the current research and development information lists and the allocation scheduling sequences after connection processing as a first frequent pattern mining result, and performing frequent pattern mining on the first frequent pattern mining result by adopting a frequent pattern mining strategy to obtain a first allocation scheduling node sequence; acquiring a service identifier of a network operation thread, taking the service identifier of the network operation thread and the first distribution scheduling node sequence as a second frequent pattern mining result, and performing frequent pattern mining on the second frequent pattern mining result by adopting a frequent pattern mining strategy to obtain a second distribution scheduling node sequence;

and acquiring a strategy indication label of the frequent pattern mining strategy, taking the strategy indication label of the frequent pattern mining strategy and the second distribution scheduling node sequence as a third frequent pattern mining result, and performing frequent pattern mining on the third frequent pattern mining result by adopting the frequent pattern mining strategy to obtain the network service object to be operated.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data presentation object to another website, computer, server, or data presentation object by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device that includes one or more available media integrated servers, data presentation objects, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.

Claims (2)

1. A network operation data scheduling method is applied to a server, and the method comprises the following steps:

when a network operation thread provided by a service on a network operation line needs to be scheduled, acquiring a network service object to be operated from a schedulable queue of a server; the schedulable queue is one or more distributed schedulable queues divided from the scheduling queue of the server;

generating an operation scheduling request according to the network service object to be operated, wherein the operation scheduling request carries the network service object to be operated, and sending the operation scheduling request to the service on the network operation line, so that the service on the network operation line carries out scheduling index according to the network service object to be operated carried in the operation scheduling request;

after the scheduling index is successful, scheduling the network operation thread to obtain a scheduling node corresponding to the network service object to be operated, and performing scheduling operation on service distribution data corresponding to the network service object to be operated based on the scheduling node;

wherein, the schedulable queue is constructed in the scheduling queue of the server, and the construction mode of the schedulable queue includes:

scheduling a scheduling script program provided by the operation channel dynamic link library file of the server to obtain a link coverage service of the operation channel dynamic link library file of the server;

creating a link coverage service node sequence adopting the link coverage service in a scheduling queue of the server, and generating an index scheduling extension element of the link coverage service node sequence, wherein the link coverage service node sequence divides the scheduling queue of the server into a schedulable queue and a non-schedulable queue, the schedulable queue refers to a scheduling queue area accommodated by the link coverage service node sequence, the non-schedulable queue refers to a scheduling queue area outside the link coverage service node sequence, and the index scheduling extension element is used for being associated with the schedulable queue and the non-schedulable queue;

the schedulable queue is used for storing specific service distribution data of the server;

the network service object to be operated is data which is generated in the schedulable queue and used for scheduling index; when the network operation thread provided by the service on the network operation line needs to be scheduled, performing frequent pattern mining in the schedulable queue to obtain the network service object to be operated;

the schedulable queue includes an index scheduling extension element;

operation allocation tasks of the server are stored in the schedulable queue, wherein the operation allocation tasks comprise allocation labels and allocation scheduling sequences obtained by registering the server in services on the network operation line; the schedulable queue also stores a frequent pattern mining strategy;

the mining of frequent patterns in the schedulable queue to obtain the network service object to be operated includes:

when the network operation thread provided by the service on the network operation line needs to be scheduled, acquiring the number of the current research and development information list of the server; scheduling the index scheduling expansion elements, and transmitting the number of the current research and development information lists into the schedulable queue;

adopting the frequent pattern mining strategy to carry out frequent pattern mining on the current research and development information list quantity and the operation distribution tasks to obtain the network service object to be operated;

the mining the current quantity of the research and development information list and the operation allocation tasks in a frequent mode by adopting the frequent mode mining strategy to obtain the network service object to be operated comprises the following steps:

performing distribution node splicing processing on the distribution scheduling sequence;

taking the number of the current research and development information lists and the allocation scheduling sequences after connection processing as a first frequent pattern mining result, and performing frequent pattern mining on the first frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a first allocation scheduling node sequence; acquiring a service identifier of the network operation thread, taking the service identifier of the network operation thread and the first distribution scheduling node sequence as a second frequent pattern mining result, and performing frequent pattern mining on the second frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a second distribution scheduling node sequence;

and acquiring a strategy indication label of the frequent pattern mining strategy, taking the strategy indication label of the frequent pattern mining strategy and the second distribution scheduling node sequence as a third frequent pattern mining result, and performing frequent pattern mining on the third frequent pattern mining result by adopting the frequent pattern mining strategy to obtain the network service object to be operated.

2. A network operation data scheduling system, applied to a server, the system comprising:

the system comprises an acquisition module, a scheduling module and a scheduling module, wherein the acquisition module is used for acquiring a network service object to be operated from a schedulable queue of a server when a network operation thread provided by a service on a network operation line needs to be scheduled; the schedulable queue is one or more distributed schedulable queues divided from the scheduling queue of the server;

a generating module, configured to generate an operation scheduling request according to the network service object to be operated, where the operation scheduling request carries the network service object to be operated, and send the operation scheduling request to the network online service, so that the network online service performs scheduling indexing according to the network service object to be operated carried in the operation scheduling request;

the scheduling operation module is used for scheduling the network operation thread to obtain a scheduling node corresponding to the network service object to be operated after the scheduling index is successful, and performing scheduling operation on service distribution data corresponding to the network service object to be operated based on the scheduling node;

wherein, the schedulable queue is constructed in the scheduling queue of the server, and the construction mode of the schedulable queue includes:

scheduling a scheduling script program provided by the operation channel dynamic link library file of the server to acquire a link coverage service of the operation channel dynamic link library file of the server;

creating a link coverage service node sequence adopting the link coverage service in a scheduling queue of the server, and generating an index scheduling extension element of the link coverage service node sequence, wherein the link coverage service node sequence divides the scheduling queue of the server into a schedulable queue and a non-schedulable queue, the schedulable queue refers to a scheduling queue area accommodated by the link coverage service node sequence, the non-schedulable queue refers to a scheduling queue area outside the link coverage service node sequence, and the index scheduling extension element is used for being associated with the schedulable queue and the non-schedulable queue;

the schedulable queue is used for storing specific service distribution data of the server;

the network service object to be operated is data which is generated in the schedulable queue and used for scheduling index; when the network operation thread provided by the service on the network operation line needs to be scheduled, performing frequent pattern mining in the schedulable queue to obtain the network service object to be operated;

the schedulable queue includes an index scheduling extension element;

operation allocation tasks of the server are stored in the schedulable queue, wherein the operation allocation tasks comprise allocation labels and allocation scheduling sequences obtained by registering the server in services on the network operation line; the schedulable queue also stores a frequent pattern mining strategy;

the mining of frequent patterns in the schedulable queue to obtain the network service object to be operated includes:

when the network operation thread provided by the service on the network operation line needs to be scheduled, acquiring the number of the current research and development information list of the server; scheduling the index scheduling expansion elements, and transmitting the number of the current research and development information lists into the schedulable queue;

adopting the frequent pattern mining strategy to carry out frequent pattern mining on the current research and development information list quantity and the operation distribution tasks to obtain the network service object to be operated;

the mining the current quantity of the research and development information list and the operation allocation tasks in a frequent mode by adopting the frequent mode mining strategy to obtain the network service object to be operated comprises the following steps:

performing distribution node splicing processing on the distribution scheduling sequence;

taking the number of the current research and development information lists and the allocation scheduling sequences after connection processing as a first frequent pattern mining result, and performing frequent pattern mining on the first frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a first allocation scheduling node sequence; acquiring a service identifier of the network operation thread, taking the service identifier of the network operation thread and the first distribution scheduling node sequence as a second frequent pattern mining result, and performing frequent pattern mining on the second frequent pattern mining result by adopting the frequent pattern mining strategy to obtain a second distribution scheduling node sequence;

and acquiring a strategy indication label of the frequent pattern mining strategy, taking the strategy indication label of the frequent pattern mining strategy and the second distribution scheduling node sequence as a third frequent pattern mining result, and performing frequent pattern mining on the third frequent pattern mining result by adopting the frequent pattern mining strategy to obtain the network service object to be operated.

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