CN104537530B - A kind of distributed bill processing method and system based on cloud computing - Google Patents

Abstract

The present invention provides a distributed bill processing method and system based on cloud computing to solve the above problems. The above method includes the following steps: the billing master control node device obtains the preset number organization and corresponding weight; the billing master control node device According to the preset cycle allocation strategy, the organizations are respectively assigned to the corresponding billing and settlement node devices; the billing and settlement node devices read the billing collection information of the organizations according to the assigned organization information for processing, improving the billing system The efficiency of bill generation and settlement; it is also possible to accurately calculate the cost of using resources and get clear and accurate bill details.

Description

A distributed bill processing method and system based on cloud computing

technical field

The invention belongs to the field of billing control, and in particular relates to a distributed bill processing method and system based on cloud computing.

Background technique

With the development of cloud computing, Yunhai OS has been widely used. Yunhai OS is a cloud computing operating system independently developed by Inspur (Beijing) Electronic Information Industry Co., Ltd. The virtualization and secondary allocation of resources achieve the purpose of improving resource utilization. Yunhai OS provides cloud computing services for individual users, and its users adopt a three-level model of administrator-organization-organization user.

In Yunhai OS, the billing subsystem mainly implements the collection and statistics of computing resources and storage resource information used by each organization and each user under the organization, and generates detailed bills for resource usage based on billing units. The billing subsystem plays an irreplaceable role in Yunhai OS: first, the bill provides a basis for the cost of resources used by each organization and user; second, the bill shows the benefits of Yunhai OS services and resource usage , to provide a basis for service provider decision-making.

Therefore, according to the collected cloud resource data information and pricing principles, how to generate accurate bills and generate bills efficiently in the face of massive data is an urgent problem to be solved.

Contents of the invention

The present invention provides a distributed bill processing method and system based on cloud computing to solve the above problems.

The invention provides a distributed bill processing method based on cloud computing. The above method comprises the following steps:

The billing master control node device obtains the preset number organization and corresponding weight;

The billing master control node device assigns the organizations to the corresponding billing and settlement node devices respectively according to the preset cycle allocation strategy;

The billing and settlement node device reads the billing collection information of the organization according to the assigned organization information and processes it.

The present invention also provides a distributed bill processing system based on cloud computing, including a charging master control node device, a charging database node device, and a charging settlement node device; wherein, the charging master control node device, the accounting The billing database node device and the billing and settlement node device are connected to each other in pairs;

The billing master control node device is used to obtain the preset number of organizations and corresponding weights from the billing database node device; it is also used to assign the organizations to corresponding billing and settlement node devices according to the preset cycle allocation strategy ;

The charging and settlement node device is configured to read the charging collection information of the organization from the charging database node device for processing according to the assigned organization information.

Compared with the prior art, according to the cloud computing-based distributed bill processing method and system provided by the present invention, the bill generation and settlement efficiency of the billing system can be improved; the cost generated by using resources can also be accurately calculated and clearly obtained Accurate billing details.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

FIG. 1 is a structural diagram of a distributed bill processing system based on cloud computing according to Embodiment 1 of the present invention;

FIG. 2 is a processing flowchart of a cloud computing-based distributed bill processing method according to Embodiment 2 of the present invention.

Detailed ways

Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

In the Yunhai OS billing system, billing data is divided into two categories: one is cloud resources provided by Yunhai OS, including CPU, memory, network and storage; the other is basic pricing factors, including resource level and resource level factor, Organization level and organization level discount rate and resource unit price. Resource data is collected in units of organizations, and pricing factors are collected uniformly by the system.

The present invention includes a billing master control node device, a billing database node device, a billing settlement node device, and a server; wherein, the billing master control node device, the billing database node device, and the billing settlement node device respectively connected to the server; the charging master control node device, the charging database node device, and the charging settlement node device are connected to each other in pairs;

After the billing master control node device receives all the virtual machine operation information, it writes the operation time sequence into the file corresponding to the organization in the billing database node device and modifies the weight corresponding to the organization in the billing database node device. Add 1 to the weight.

Operations include create, delete, modify, power on, power off, suspend, and resume.

The operation information includes virtual machine name information, virtual machine ID information, virtual machine configuration information, virtual machine organization ID information, virtual machine user ID information, operator ID information, operation code information, and operation time information.

Fig. 1 shows the structural diagram of the distributed bill processing system based on cloud computing according to Embodiment 1 of the present invention, including a charging master control node device, a charging database node device, and a charging settlement node device; wherein, the charging master The control node device, the charging database node device, and the charging and settlement node device are connected to each other in pairs;

The billing master control node device is used to obtain the preset number of organizations and corresponding weights from the billing database node device; it is also used to assign the organizations to corresponding billing and settlement node devices according to the preset cycle allocation strategy ;

The charging and settlement node device is configured to read the charging collection information of the organization from the charging database node device for processing according to the assigned organization information.

FIG. 2 is a flowchart of a cloud computing-based distributed bill processing method according to Embodiment 2 of the present invention, including the following steps:

Step 201: The billing master control node device obtains the preset number organization and corresponding weight;

The charging master control node device obtains the preset number organization and corresponding weight from the charging database node device.

For example: the billing master control node device obtains 4 organizations, namely organization A, organization B, organization C, and organization D; organization A corresponds to a weight of 14, organization B corresponds to a weight of 20, organization C corresponds to a weight of 100, and organization D corresponds to a weight of 70.

Step 202: The billing master control node device assigns the organizations to the corresponding billing and settlement node devices according to the preset cycle allocation strategy;

Organizations are sorted in descending order of weights, and billing and settlement node devices are sorted according to the sum of weights assigned to organizations from small to large.

The preset cycle allocation strategy is:

List org=[organization 1, organization 2, organization 3, organization 4...organization n], wherein, organization 1, organization 2, organization 3, organization 4...organization n are sorted in descending order of weight;

List nod=[Charging and settlement node equipment A, charging and settlement node equipment B..Charging and settlement node equipment M], wherein, the charging and settlement node equipment is sorted according to the sum of the weights assigned to the organization from small to large;

For(i=0; i<org. size(); i++){

Obtain the organization node information tempOrg currently to be processed;

Sort the billing and settlement node devices according to the weight of the distribution organization and from small to large;

Take out the smallest billing and settlement node device, tempNode;

Assign tempOrg to tempNode and the weight of tempNode = tempNode weight

+tempOrg weight.

}

The billing master control node device assigns the organizations to the corresponding billing and settlement node devices according to the preset cycle allocation strategy as follows:

If there are organization A, organization B, organization C, and organization D; the corresponding weight of organization A is 14, the corresponding weight of organization B is 20, the corresponding weight of organization C is 100, and the corresponding weight of organization D is 70, the billing settlement node If the devices are A and B, then the billing master control node device adopts the preset cyclic allocation strategy to allocate organization A, organization B, organization C, and organization D to the corresponding billing and settlement node devices, wherein the preset cyclic allocation The strategy is as follows:

List org = [C, D, B, A],

List nod = [A, B];

For(i=0; i<org. size(); i++){

Obtain the organization node information tempOrg currently to be processed;

Sort the billing and settlement node devices according to the weight of the distribution organization and from small to large;

Take out the smallest billing and settlement node device, tempNode;

Assign tempOrg to tempNode and the weight of tempNode = tempNode weight

+tempOrg weight.

}

Step 203: The charging and settlement node device reads the charging collection information of the organization according to the assigned organization information and processes it.

The charging and settlement node device reads the charging collection information of the organization from the charging database node device according to the assigned organization information and processes it.

Each time the charging and settlement node device processes a group of charging collection information (N pieces), it reduces the weight of the organization by N.

The following is an example to describe in detail:

Currently, the system has organizations O ₁ , O ₂ , O ₃ , O ₄ , O ₅ , O ₆ , O ₇ , and O ₈ , and the weights (W _i ) of each organization are 100, 26, 44, 82, 74, and 24 respectively. , 20, 16; the billing and settlement node equipment has N ₁ , N ₂ , N ₃ , N ₄ , N ₅ , and the initial weight is 0. According to the preset cycle allocation strategy, the billing master control node device first sorts from large to small according to W _i , and the sorting results are O ₁ , O ₄ , O ₅ , O ₃ , O ₂ , O ₆ , O ₇ , O ₈ . The billing and settlement node devices are sorted according to the node weights from small to large, and the results are N ₁ , N ₂ , N ₃ , N ₄ , and N ₅ .

In the first round, O ₁ is allocated to node N ₁ , the organization queue and billing and settlement node equipment queue are: O ₄ , O ₅ , O ₃ , O ₂ , O ₆ , O ₇ , O ₈ and N ₂ , N ₃ , N ₄ , N ₅ , N ₁ (0, 0, 0, 0, 100);

In the second round, O ₄ is allocated to N ₂ . The organization queue and billing and settlement node equipment queue are: O ₅ , O ₃ , O ₂ , O ₆ , O ₇ , O ₈ and N ₃ , N ₄ , N ₅ , N ₂ , N ₁ (0, 0, 0, 82, 100);

Proceeding in sequence, the organization queue and billing and settlement node equipment queue change as follows:

Rounds Organization Queue Billing and settlement node queue Changes in the weight of billing and settlement nodes 0 O ₁ ,O ₄ ,O ₅ ,O ₃ ,O ₂ ,O ₆ ,O ₇ ,O ₈ N ₁ , N ₂ , N ₃ , N ₄ , N ₅ 0,0,0,0,0 1 O ₄ ,O ₅ ,O ₃ ,O ₂ ,O ₆ ,O ₇ ,O ₈ N ₂ ,N ₃ ,N ₄ ,N ₅ ,N ₁ 0,0,0,0,100 2 O ₅ ,O ₃ ,O ₂ ,O ₆ ,O ₇ ,O ₈ N ₃ ,N ₄ ,N ₅ ,N ₂ ,N ₁ 0,0,0,82,100 3 O ₃ ,O ₂ ,O ₆ ,O ₇ ,O ₈ N ₄ , N ₅ , N ₃ , N ₂ , N ₁ 0,0,74,82,100 4 O ₂ ,O ₆ ,O ₇ ,O ₈ N ₅ , N ₄ , N ₃ , N ₂ , N ₁ 0,44,74,82,100 5 O ₆ ,O ₇ ,O ₈ N ₅ , N ₄ , N ₃ , N ₂ , N ₁ 26,44,74,82,100 6 O ₇ ,O ₈ N ₄ , N ₅ , N ₃ , N ₂ , N ₁ 44,50,74,82,100 7 O ₈ N ₅ , N ₄ , N ₃ , N ₂ , N ₁ 50, 64, 74, 82, 100 8 N ₄ , N ₅ , N ₃ , N ₂ , N ₁ 64, 66, 74, 82, 100

In the end, the organization assigned by each billing and settlement node and the weight of each billing and settlement node are as follows:

billing settlement node organize Billing and settlement node weight N1 O ₁ 100 N2 O ₄ 82 N3 O ₅ 74 N4 O ₃ ,O ₇ 64 N5 O ₂ , O _{6 ,} O ₈ 66

Compared with the prior art, according to the cloud computing-based distributed bill processing method and system provided by the present invention, the bill generation and settlement efficiency of the billing system can be improved; the cost generated by using resources can also be accurately calculated and clearly obtained Accurate billing details.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (9)

1. a kind of distributed bill processing method based on cloud computing, it is characterised in that comprise the following steps：

Charging main controlled node equipment obtains preset number tissue and corresponding weights；

The tissue is respectively allocated to corresponding charge accounting section by charging main controlled node equipment according to preset loop allocation strategy Point device；

According to the organizational information of distribution, the Charging Collection information for reading the tissue is handled charge accounting node device；Its In, the preset loop allocation strategy is：

List org=[tissue 1, tissue 2, tissue 3, tissue 4 ... tissue n], wherein, tissue 1, tissue 2, tissue 3, tissue 4 ... N is organized according to weights descending sort from big to small；

List nod=[charge accounting node device first, charge accounting node device second .. charge accounting node devices M], its In, charge accounting node device is according to being assigned to tissue weights and from small to large sort；

For (i=0；i<org.size()；i++){

Obtain current organization node information tempOrg to be processed；

Charge accounting node device is sorted according to the weights of distribution tissue and from small to large；

Take out minimum charge accounting node device, tempNode；

TempOrg is distributed to tempNode and tempNode weights=tempNode weights+tempOrg weights;

}。

2. according to the method for claim 1, it is characterised in that charging main controlled node equipment is from billing database node device Middle acquisition preset number tissue and corresponding weights.

3. according to the method for claim 1, it is characterised in that tissue is according to weights descending sort from big to small, charging knot Operator node equipment is according to being assigned to tissue weights and from small to large sort.

4. according to the method for claim 1, it is characterised in that charging main controlled node equipment distributes plan according to preset loop Slightly, it is by the process for organizing to be respectively allocated to corresponding charge accounting node device：

If A, tissue B, tissue C, tissue D in a organized way；Tissue A correspond to that weights are 14, tissue B correspond to weights and is 20, organizes C correspondences Weights are 100, correspond to weights be 70 to tissue D, and charge accounting node device be first, second, then the use of charging main controlled node equipment is in advance If Cyclic distributed strategy, tissue A, tissue B, tissue C, tissue D are distributed to corresponding charge accounting node device, wherein, institute It is as follows to state preset loop allocation strategy：

List org=[C, D, B, A],

List nod=[first, second]；

For (i=0；i<org.size()；i++){

Obtain current organization node information tempOrg to be processed；

Charge accounting node device is sorted according to the weights of distribution tissue and from small to large；

Take out minimum charge accounting node device, tempNode；

TempOrg is distributed to tempNode and tempNode weights=tempNode weights+tempOrg weights;

}。

5. according to the method for claim 1, it is characterised in that charge accounting node device according to the organizational information of distribution, The Charging Collection information that the tissue is read from billing database node device is handled.

6. according to the method for claim 5, it is characterised in that charge accounting node device often handles N bars Charging Collection letter Breath, the weights of the tissue are reduced into N.

7. according to the method for claim 1, it is characterised in that charging main controlled node equipment obtains preset number tissue and right Before answering weights, in addition to：

After charging main controlled node equipment receives all virtual machine operations information, charging number is written to according to operating time sequencing According in file and changing weights corresponding to the tissue in billing database node device corresponding to the tissue in the node device of storehouse, By weights plus 1.

8. according to the method for claim 7, it is characterised in that operation includes establishment, deletion, modification, start, shutdown, extension Rise, reply；The operation information includes virtual machine name information, virtual machine id information, virtual machine configuration information, virtual machine institute In tissue id information, virtual machine owning user id information, operator's id information, operation code information, operating time information.

9. a kind of distributed bill processing system based on cloud computing, it is characterised in that including charging main controlled node equipment, charging Database node equipment, charge accounting node device；Wherein, the charging main controlled node equipment, the billing database node Equipment, the charge accounting node device two are two interconnected；

Charging main controlled node equipment, for obtaining preset number tissue and corresponding weights from billing database node device；Also For according to preset loop allocation strategy, the tissue to be respectively allocated into corresponding charge accounting node device；

The charge accounting node device, for the organizational information according to distribution, institute is read from billing database node device The Charging Collection information for stating tissue is handled；

Wherein, the preset loop allocation strategy is：

List org=[tissue 1, tissue 2, tissue 3, tissue 4 ... tissue n], wherein, tissue 1, tissue 2, tissue 3, tissue 4 ... N is organized according to weights descending sort from big to small；

List nod=[charge accounting node device first, charge accounting node device second .. charge accounting node devices M], its In, charge accounting node device is according to being assigned to tissue weights and from small to large sort；

For (i=0；i<org.size()；i++){

Obtain current organization node information tempOrg to be processed；

Charge accounting node device is sorted according to the weights of distribution tissue and from small to large；

Take out minimum charge accounting node device, tempNode；

TempOrg is distributed to tempNode and tempNode weights=tempNode weights+tempOrg weights;

}。