CN114448751A - Dynamic allocation method and system for service network nodes - Google Patents
Dynamic allocation method and system for service network nodes Download PDFInfo
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- CN114448751A CN114448751A CN202210152959.1A CN202210152959A CN114448751A CN 114448751 A CN114448751 A CN 114448751A CN 202210152959 A CN202210152959 A CN 202210152959A CN 114448751 A CN114448751 A CN 114448751A
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012544 monitoring process Methods 0.000 claims abstract description 24
- 230000006399 behavior Effects 0.000 claims description 51
- 230000005012 migration Effects 0.000 claims description 13
- 238000013508 migration Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 abstract description 3
- 238000012545 processing Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/46—Interconnection of networks
- H04L12/4641—Virtual LANs, VLANs, e.g. virtual private networks [VPN]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a dynamic allocation method and a system of service network nodes, comprising the following steps: receiving an access request of a user client, and distributing service network nodes based on the access request; accessing a behavior monitoring module to the distributed service network node; the behavior monitoring module collects behavior information data at intervals in a preset time period and sends the collected behavior information data to the information storage module; before acquiring the interval behavior information data, acquiring load data information a of a service network node of the acquired behavior information data and load data information b of an adjacent service network node of the acquired behavior information data through a management client; judging whether to start dynamic allocation or not based on the load condition of the load data information a; the service network node, the dynamic allocation method and the dynamic allocation system can reduce time delay and save communication bandwidth when performing behavior monitoring service.
Description
Technical Field
The invention relates to a dynamic distribution method and a dynamic distribution system for service network nodes.
Background
The context of network virtualization generally refers to Virtual Private Networks (VPNs). VPNs abstract the concept of network connectivity, allowing remote users to access an organization's internal network as if physically connected to the network. Network virtualization may help protect IT environments from threats from the Internet while enabling users to quickly and securely access applications and data.
When the existing network virtualization technology is used for transnational and transregional service, the behavior condition of a user needs to be supervised based on the regulations of management departments to avoid illegal use, so that the acquisition of related data is needed, and when behavior information data of a plurality of service network nodes are acquired, some analysis and calculation processing can be carried out to make a decision and assist behavior monitoring, so that the defects of time delay and increase of communication bandwidth amount can be caused.
Disclosure of Invention
In view of the deficiencies in the prior art, an object of the present invention is to provide a service network node, a dynamic allocation method and a system, which can reduce time delay and save communication bandwidth when performing a behavior monitoring service.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a dynamic allocation method of a service network node comprises the following steps:
receiving an access request of a user client, and distributing service network nodes based on the access request;
accessing a behavior monitoring module to the distributed service network node;
the behavior monitoring module collects behavior information data at intervals in a preset time period and sends the collected behavior information data to the information storage module;
before acquiring the interval behavior information data, acquiring load data information a of a service network node of the acquired behavior information data and load data information b of an adjacent service network node of the acquired behavior information data through a management client;
judging whether to start dynamic allocation or not based on the load condition of the load data information a;
when a dynamic allocation mechanism needs to be started, constructing a multi-objective multi-constraint model for idle load data information b so as to calculate resource loss in the process of service migration and scheduling between nodes of each service in the service demand;
and determining an optimal distribution mode through a multi-target multi-constraint model to distribute by taking the minimum resource loss as a target until the behavior monitoring module finishes behavior information data acquisition.
Further, the service network node is a VPN server.
Further, the VPN server receives a service request from the management client to provide the load data information a and the load data information b.
Further, the management client has a location database in which location information of all the serving network nodes is stored.
Further, the management client sends a service request to the adjacent service network node in a preset position range interval based on the position information of the monitoring service network node provided by the position database.
Further, the information storage module stores the collected behavior information data into a user profile associated with the user client, and if the user profile is not established at the user client, a new user profile is established in the storage module to be associated with the user client.
Further, the resource loss during service migration and scheduling includes time loss and transmission loss.
Further, the time loss is determined based on idle computational resources of the neighboring serving network node and the transmission loss is determined based on location information of the neighboring serving network node.
Another technical problem to be solved by the present invention is to provide a dynamic allocation system for a service network node, comprising:
the user client sends out an access request and accesses the service network node;
the management client is used for constructing a multi-target multi-constraint model so as to calculate the resource loss of each service in the service demand in the process of carrying out service migration and scheduling among nodes;
the behavior monitoring module is used for periodically monitoring whether the user client has illegal behaviors or not and acquiring and storing behavior information data;
the information storage module is used for storing the reserved behavior information data of the user client;
and the service network node provides access service based on the access request and performs service migration and scheduling according to the optimal distribution mode obtained by the management client.
Further, the method comprises the following steps: and the updating module updates the user profile stored in the information storage module based on the behavior information data collected by the information storage module.
The invention has the beneficial effects that:
aiming at the dynamic property of the virtual request for acquiring the behavior information data, the method provides that the acquired service network node is used as a central coordinate, the load data information of the adjacent service network node is searched in a preset coordinate range interval, the nearby idle service network node is determined to be called, the calculation task and other services in the behavior monitoring are dynamically allocated, the result is obtained with less delay, and the service quality of the service network node is improved by using less front-end processing resources and network bandwidth.
Detailed Description
The principles and features of this invention are described below in conjunction with embodiments, which are included to explain the invention and not to limit the scope of the invention. The present invention is more particularly described in the following paragraphs by way of example. Advantages and features of the present invention will become apparent from the following description and from the claims.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Examples
A dynamic allocation method of a service network node comprises the following steps:
receiving an access request of a user client, and distributing service network nodes based on the access request;
the serving network node may be configured to provide services to other nodes, including processing or analyzing data collected by another node, in some cases the serving network node may be configured to have a higher level of processing power than the node it serves, in some cases the serving network node may have an equivalent level of processing power to the node it serves.
Accessing a behavior monitoring module to the distributed service network node;
the behavior monitoring module collects behavior information data at intervals in a preset time period and sends the collected behavior information data to the information storage module;
before acquiring the interval behavior information data, acquiring load data information a of a service network node of the acquired behavior information data and load data information b of an adjacent service network node of the acquired behavior information data through a management client;
judging whether to start dynamic allocation or not based on the load condition of the load data information a;
when a dynamic allocation mechanism needs to be started, constructing a multi-objective multi-constraint model for idle load data information b so as to calculate resource loss in the process of service migration and scheduling between nodes of each service in the service demand;
the dynamic allocation requested is achieved by service migration and scheduling of the serving network node, which may be performed in parallel by multiple nearby serving network nodes, e.g., a management client sending parallel service requests by more than two nearby serving network nodes at the same time.
If the serving network node is unable to perform the analysis, it sends a message back to the managing client indicating that it is unavailable. In response, the management client may substitute it with another serving network node and forward the service request to the substitute serving network node.
And determining an optimal distribution mode through a multi-target multi-constraint model to distribute by taking the minimum resource loss as a target until the behavior monitoring module finishes behavior information data acquisition.
In some cases, once the collected behavioral information data is analyzed, the results may be sent to a management client. The management client may use the results to determine an action to take, such as identifying or disconnecting access to the user client.
The service network node is a VPN server, which is a cross-border or cross-domain server.
The VPN server receives a service request of the management client to provide the load data information a and the load data information b.
The management client has a location database in which location information of all the serving network nodes is stored.
The management client side sends a service request to the adjacent service network node in a preset position range interval based on the position information of the monitoring service network node provided by the position database.
The information storage module stores the collected behavior information data into a user profile associated with the user client, and if the user profile is not established by the user client, a new user profile is established in the storage module to be associated with the user client.
The resource loss during service migration and scheduling includes time loss and transmission loss.
The time loss is determined based on idle computational resources of the neighboring serving network node and the transmission loss is determined based on location information of the neighboring serving network node.
A dynamic allocation system of a serving network node, comprising:
the user client sends out an access request and accesses the service network node;
the management client is used for constructing a multi-target multi-constraint model so as to calculate the resource loss of each service in the service demand in the process of carrying out service migration and scheduling among nodes;
the behavior monitoring module is used for periodically monitoring whether the user client has illegal behaviors or not and acquiring and storing behavior information data;
the information storage module is used for storing the reserved behavior information data of the user client;
and the service network node provides access service based on the access request and performs service migration and scheduling according to the optimal distribution mode obtained by the management client.
The method comprises the following steps: and the updating module updates the user profile stored in the information storage module based on the behavior information data collected by the information storage module.
The above-described embodiments of the present invention are not intended to limit the scope of the present invention, and the embodiments of the present invention are not limited thereto, and various other modifications, substitutions and alterations can be made to the above-described structure of the present invention without departing from the basic technical concept of the present invention as described above, according to the common technical knowledge and conventional means in the field of the present invention.
Claims (10)
1. A dynamic allocation method for a serving network node, comprising:
receiving an access request of a user client, and distributing service network nodes based on the access request;
accessing a behavior monitoring module to the distributed service network node;
the behavior monitoring module collects behavior information data at intervals in a preset time period and sends the collected behavior information data to the information storage module;
before acquiring the interval behavior information data, acquiring load data information a of a service network node of the acquired behavior information data and load data information b of an adjacent service network node of the acquired behavior information data through a management client;
judging whether to start dynamic allocation or not based on the load condition of the load data information a;
when a dynamic allocation mechanism needs to be started, constructing a multi-objective multi-constraint model for idle load data information b so as to calculate resource loss in the process of service migration and scheduling between nodes of each service in the service demand;
and determining an optimal distribution mode through a multi-target multi-constraint model to distribute by taking the minimum resource loss as a target until the behavior monitoring module finishes behavior information data acquisition.
2. The dynamic allocation method of a serving network node of claim 1, characterized in that: the serving network node is a VPN server.
3. The dynamic allocation method of a serving network node of claim 2, characterized in that: the VPN server receives a service request of the management client to provide the load data information a and the load data information b.
4. The dynamic allocation method of a serving network node of claim 1, characterized in that: the management client has a location database in which location information of all the serving network nodes is stored.
5. The dynamic allocation method of a serving network node of claim 4, wherein: the management client side sends a service request to the adjacent service network node in a preset position range interval based on the position information of the monitoring service network node provided by the position database.
6. The dynamic allocation method of a serving network node of claim 1, characterized in that: the information storage module stores the collected behavior information data into a user profile associated with the user client, and if the user profile is not established by the user client, a new user profile is established in the storage module to be associated with the user client.
7. Method for dynamic allocation of a serving network node according to any of claims 1-6, characterized in that: the resource loss during service migration and scheduling includes time loss and transmission loss.
8. The dynamic allocation method of a serving network node of claim 7, wherein: the time loss is determined based on idle computational resources of the neighboring serving network node and the transmission loss is determined based on location information of the neighboring serving network node.
9. A dynamic allocation system for serving network nodes, comprising:
the user client sends out an access request and accesses the service network node;
the management client is used for constructing a multi-target multi-constraint model so as to calculate the resource loss of each service in the service demand in the process of carrying out service migration and scheduling among nodes;
the behavior monitoring module is used for periodically monitoring whether the user client has illegal behaviors or not and acquiring and storing behavior information data;
the information storage module is used for storing the reserved behavior information data of the user client;
and the service network node provides access service based on the access request and performs service migration and scheduling according to the optimal distribution mode obtained by the management client.
10. The dynamic allocation system of serving network nodes of claim 9, further comprising: and the updating module updates the user profile stored in the information storage module based on the behavior information data collected by the information storage module.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115834361A (en) * | 2023-02-16 | 2023-03-21 | 广州钛动科技股份有限公司 | High-availability multi-load VPN data processing method, system, device and medium |
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- 2022-02-18 CN CN202210152959.1A patent/CN114448751A/en active Pending
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| CN107613030A (en) * | 2017-11-06 | 2018-01-19 | 网宿科技股份有限公司 | A kind of method and system of processing business request |
| CN110417903A (en) * | 2019-08-01 | 2019-11-05 | 广州知弘科技有限公司 | A kind of information processing method and system based on cloud computing |
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