CN110601897A - Network resource configuration method and device - Google Patents

Network resource configuration method and device Download PDF

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Publication number
CN110601897A
CN110601897A CN201910891933.7A CN201910891933A CN110601897A CN 110601897 A CN110601897 A CN 110601897A CN 201910891933 A CN201910891933 A CN 201910891933A CN 110601897 A CN110601897 A CN 110601897A
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China
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service
target
data
network
node
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Inventor
胡宇翔
谷允捷
李军飞
周锟
李丹
傅敏
田乐
邬江兴
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Information Engineering University of PLA Strategic Support Force
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Information Engineering University of PLA Strategic Support Force
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Priority to CN201910891933.7A priority Critical patent/CN110601897A/en
Publication of CN110601897A publication Critical patent/CN110601897A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0893Assignment of logical groups to network elements

Abstract

The invention provides a network resource allocation method and a device, wherein a server periodically senses current network resource allocation information and service demand information transmitted by each router node and generates a network resource sensing view and a network service sensing view; fitting decision is carried out on the resource perception view and the service perception view information to generate a resource scheduling strategy and a service bearing strategy; the router node executes corresponding resource scheduling and service bearing operation, and meets the function and performance requirements of service requirements. In the embodiment, a perception-decision-adaptation integrated intelligent management control closed loop is constructed, so that resources and services gradually and circularly approach the service experience requirement as optimally as possible, the time-varying difference between network resources and service requirements is bridged to the greatest extent, the underlying network resources and dynamically arriving service information are controlled in real time from a macroscopic perspective, efficient adaptation and dynamic fitting of the network resources and upper-layer services are realized, and the network resource utilization rate and the user experience are optimized.

Description

Network resource configuration method and device
Technical Field
The present invention relates to the field of computer network communication technologies, and in particular, to a method and an apparatus for configuring network resources.
Background
With the continuous development of network technology, the internet has become an important infrastructure highly related to national economy and social development, and has a profound influence on improving social productivity, promoting economic society upgrading transformation, creating new economic growth points and employment opportunities and the like. The network management control takes network transmission efficiency, node operation efficiency, service bearing efficiency, service providing efficiency and the like as constraints, and aims to realize network structure optimization, resource allocation, function management and service bearing.
The existing network management control is rigid in data transmission, resource management and operation maintenance modes, and a traditional network management control method based on a static policy mode is still adopted, namely the same network resources are configured for different service requirements, so that when a server carries out network management control based on the static policy mode, the task quantity of service nodes in a part of domains is less, more tasks are distributed to one or more other service nodes in the domain, the task quantity is larger, and the processing time is prolonged.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for configuring network resources, so as to solve the problems of a large task amount and a long processing time of service nodes in a part of domains due to the fact that a server still adopts a traditional network management control method based on a static policy mode.
In order to solve the technical problems, the invention adopts the following technical scheme:
a network resource configuration method is applied to a server, and comprises the following steps:
issuing a data acquisition instruction to a router node which is positioned in the same autonomous domain with the server; the data acquisition instruction is used for indicating the router node to acquire node network information of an intra-domain service node connected with the router node and service occupation resource information of unprocessed target services;
receiving target data collected by the router node; the target data comprises network configuration information and service requirement information; the network configuration information is node network information of an intra-domain service node connected with the router node; the service requirement information is service occupation resource information of unprocessed and finished target services;
and generating a service scheduling strategy which is adapted to the target data and is used for processing the target service based on the target data, and controlling the router node to execute service scheduling operation corresponding to the service scheduling strategy.
Optionally, generating, based on the target data, a service scheduling policy adapted to the target data and used for processing the target service, includes:
generating network resource configuration data corresponding to the network configuration information; the network resource configuration data is the integration data of the network configuration information collected by all the router nodes;
generating service resource configuration data corresponding to the service demand information; the service resource configuration data is the integration data of the service requirement information collected by all the router nodes;
and determining the service scheduling strategy based on the network resource configuration data and the service resource configuration data.
Optionally, determining the service scheduling policy based on the network resource configuration data and the service resource configuration data includes:
determining a data processing path for processing the target service and a target intra-domain service node which is positioned on the data processing path and is used for executing network functions required by the target service based on the network resource configuration data and the service resource configuration data; and the network resources on the data processing path can meet the service processing requirement of the target service.
Optionally, determining, based on the network resource configuration data and the service resource configuration data, a data processing path for processing the target service and a target intra-domain service node located on the data processing path and configured to execute a network function required by the target service, including:
determining at least one data processing path for processing the target service based on the network resource configuration data and the service resource configuration data;
screening out a data processing path from at least one data processing path based on a preset screening rule;
and determining the target intra-domain service node in the screened data processing path.
Optionally, controlling the router node to perform a service scheduling operation corresponding to the service scheduling policy includes:
and issuing the data processing path and the target intra-domain service node to a target router node connected with the target intra-domain service node so that the target router node controls the target intra-domain service node to process the target service.
A network resource configuration device applied to a server comprises:
the instruction issuing module is used for issuing a data acquisition instruction to a router node which is positioned in the same autonomous domain with the server; the data acquisition instruction is used for indicating the router node to acquire node network information of an intra-domain service node connected with the router node and service occupation resource information of unprocessed target services;
the data receiving module is used for receiving the target data collected by the router node; the target data comprises network configuration information and service requirement information; the network configuration information is node network information of an intra-domain service node connected with the router node; the service requirement information is service occupation resource information of unprocessed and finished target services;
and the service scheduling module is used for generating a service scheduling strategy which is adaptive to the target data and is used for processing the target service based on the target data, and controlling the router node to execute service scheduling operation corresponding to the service scheduling strategy.
Optionally, the service scheduling module includes:
the first generation submodule is used for generating network resource configuration data corresponding to the network configuration information; the network resource configuration data is the integration data of the network configuration information collected by all the router nodes;
the second generation submodule is used for generating service resource configuration data corresponding to the service demand information; the service resource configuration data is the integration data of the service requirement information collected by all the router nodes;
and the data determining submodule is used for determining the service scheduling strategy based on the network resource configuration data and the service resource configuration data.
Optionally, the data determining sub-module is configured to, when determining the service scheduling policy based on the network resource configuration data and the service resource configuration data, specifically:
determining a data processing path for processing the target service and a target intra-domain service node which is positioned on the data processing path and is used for executing network functions required by the target service based on the network resource configuration data and the service resource configuration data; and the network resources on the data processing path can meet the service processing requirement of the target service.
Optionally, the data determination sub-module includes:
a path determining unit, configured to determine, based on the network resource configuration data and the service resource configuration data, at least one data processing path for processing the target service;
the path screening unit is used for screening out a data processing path from at least one data processing path based on a preset screening rule;
and the node determining unit is used for determining the target intra-domain service node in the screened data processing path.
Optionally, the service scheduling module, when configured to control the router node to execute a service scheduling operation corresponding to the service scheduling policy, is specifically configured to:
and issuing the data processing path and the target intra-domain service node to a target router node connected with the target intra-domain service node so that the target router node controls the target intra-domain service node to process the target service.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a network resource allocation method and a device, wherein when network management control is carried out, a server can issue a data acquisition instruction to a router node which is positioned in the same autonomous domain as the server, then target data comprising network configuration information and service demand information is received, and the router is controlled to execute service scheduling operation based on the target data.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for configuring network resources according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a data interaction provided in an embodiment of the present invention;
fig. 3 is a flowchart of another method for configuring network resources according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a network resource allocation apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The traditional network management control method based on a static strategy mode is limited by the limitation of network state cognition under the background of multiplied network management complexity and huge operation and maintenance expenses, is difficult to adapt to the complexity of the current network service in the aspects of flexibility, instantaneity and the like, and cannot meet the unfavorable situations of poor service experience, low operation efficiency and the like caused by the deep fusion of information networks and various fields of the economic society and the requirements of high efficiency, intellectualization, high reliability, low time delay and the like in the universal network scene under the trend of interconnection of everything.
In order to solve the above problem, an embodiment of the present invention provides a network resource configuration method, which is applied to a server, and with reference to fig. 1, the network resource configuration method may include:
and S11, issuing a data acquisition instruction to a router node located in the same autonomous domain as the server.
The data acquisition instruction is used for instructing the router node to acquire node network information of an intra-domain service node connected with the router node and service occupation resource information of unprocessed target services.
In this embodiment, the data acquisition instruction may be issued when network management control is required, or the router node may be informed to periodically upload data corresponding to the data acquisition instruction after the data acquisition instruction is issued once, which is not specifically limited in this embodiment.
The same autonomous domain includes a server, a plurality of router nodes (also referred to as routers) and a service node in the domain connected to each router node. Wherein each router node is connected to the server. The communication among the servers, routers and serving nodes within a domain is illustrated in figure 2. The server 01 communicates with the router 02, and the router 02 communicates with the intra-domain service node 03.
And S12, receiving the target data collected by the router node.
The router comprises a basic routing function, can periodically collect target data including network configuration information and service requirement information, and transmits the current network configuration information and the current service requirement information to the server.
The network configuration information is node network information of an intra-domain service node connected with the router node. Specifically, the network configuration information includes intra-domain service node resource and state information, topology information, and network infrastructure information of the router node itself, a network function deployment state, a lifetime, and a link load state and a congestion condition. The network configuration information depends on the bottom layer resources, and the bottom layer resources mainly refer to related computing, network and storage resources required by the bearing service. The existing form can be divided into hardware resources and virtual resources, wherein the hardware resources comprise servers, workstations and detailed Central Processing Units (CPU), cache and the like, and the virtual resources comprise cloud computing nodes, virtual machines, virtual network functions and related programs required by the virtual machines.
The service requirement information is service occupation resource information of the unprocessed and finished target service. Specifically, the service requirement information includes a network function type and a corresponding required amount required by the target service, a node resource required for processing the service data packet, and a link resource required for transmitting the service data packet. In more detail, the service requirement information includes: the network function type and corresponding demand required by the service, the node resources required for processing the service data packet, and the link resources required for transmitting the service data packet. It should be noted that the above information is contained in all service requirements, and some services may also define other information such as quality of service, security level, and the like.
The mode that the router periodically collects the network configuration information and the service demand information comprises the following steps: establishing a network infrastructure measuring benchmark and a measuring system, and telemetering network basic behavior information from multiple dimensions by adopting a multi-protocol-level tomography method, wherein the telemetering network basic behavior information comprises the following steps: reading service node information in the domain, and sampling and counting communication data packets among the nodes; and constructing a unified model to describe resource configuration information and service requirement information, and converting the network basic behavior information into network configuration information and service requirement information.
S13, based on the target data, generating a service scheduling policy which is adapted to the target data and used for processing the target service, and controlling the router node to execute the service scheduling operation corresponding to the service scheduling policy.
After the target data are obtained, the server performs fitting decision on the target data to obtain a service scheduling strategy. The fitting decision refers to that under the condition that an overall service scheduling strategy is known, resource scheduling and service bearing strategies are made through artificial intelligence methods such as reinforcement learning, deep learning and neighbor perception, so that network resources can meet the functional and performance requirements of services to the maximum extent.
After obtaining a service scheduling strategy, sending the service scheduling strategy to a router, and transmitting a function deployment instruction to an intra-domain service node by the router according to the service scheduling strategy so as to enable the intra-domain service node to deploy a corresponding function and provide service for a service data packet; and injecting a flow table into the intra-domain switch so that the switch processes and forwards the service data packet.
In this embodiment, when performing network management control, a server may issue a data acquisition instruction to a router node located in the same autonomous domain as the server, and then receive target data including network configuration information and service demand information, and control the router to perform a service scheduling operation based on the target data, where the target data includes node network information of an intra-domain service node connected to the router node and service occupation resource information of an unprocessed target service, and further when performing network management control, a working condition of the intra-domain service node is considered, so that an obtained service scheduling policy is more suitable for an actual working condition of the intra-domain service node, and a situation that a task amount of a part of intra-domain service nodes is large and a processing time is long is avoided.
In another implementation manner of the present invention, describing the generation process of the service scheduling policy in step S13, specifically, referring to fig. 2, the generating the service scheduling policy adapted to the target data and used for processing the target service based on the target data may include:
and S21, generating network resource configuration data corresponding to the network configuration information.
And S22, generating service resource configuration data corresponding to the service requirement information.
The network resource configuration data may also be referred to as a resource-aware view and the service resource configuration data may also be referred to as a service-aware view.
The network resource configuration data is the integration data of the network configuration information collected by all the router nodes. The service resource configuration data is the integration data of the service requirement information collected by all the router nodes.
Specifically, after receiving the network resource configuration information and the service requirement information, the server analyzes and integrates the bottom layer resource configuration status and the service requirement information, summarizes the node resource information, the link state information, the topology connection information and other resource configuration information acquired by each router node, summarizes the network function types and the node link resources required by various services acquired by each router node, and generates a resource perception view and a service perception view.
The resource perception view comprises node resources and state information, topology information and network basic member information uploaded by each router node in the autonomous domain, a network function deployment state, a life cycle, a link load state and a congestion condition. In detail, the network resource perception view includes a resource description of a network basic function established on the basis of computing, storing and transmitting resources, and includes a topological relation between nodes having a function unit cooperatively processing data packets, specific attribute characteristics and capability capacity representing the function unit, cooperative interaction information between the function units, and the like.
The service perception view comprises service types, service distribution, service function types, resource requirements and the like which are divided according to service flow characteristics in a network. In detail, the network traffic awareness graph includes a network function type and a corresponding demand required by a traffic uploaded by each router node in the autonomous domain, a node resource required for processing a traffic data packet, and a link resource required for transmitting the traffic data packet. The division of the service types is mainly realized by calling a specific clustering algorithm, the service services belonging to the same type generally have similar content characteristics and performance indexes, and the same type of services adopt the same processing mode in the subsequent steps.
S23, determining the service scheduling policy based on the network resource configuration data and the service resource configuration data.
And the server performs fitting decision on the information of the resource perception view and the service perception view, integrates and recombines limited bottom layer resources according to intelligent traffic scheduling and flexible resource control, and generates a resource scheduling strategy and a service bearing strategy by artificial intelligent methods such as reinforcement learning, deep learning, neighbor perception and the like. The resource scheduling policy and the traffic bearer policy may be referred to as a traffic scheduling policy.
Determining the service scheduling policy based on the network resource configuration data and the service resource configuration data may specifically include:
determining a data processing path for processing the target service and a target intra-domain service node which is positioned on the data processing path and is used for executing network functions required by the target service based on the network resource configuration data and the service resource configuration data; and the network resources on the data processing path can meet the service processing requirement of the target service.
In detail, the fitting decision includes making a resource scheduling and service carrying strategy, and the content of the resource scheduling strategy is as follows: and calculating a data transmission path of a service data packet according to the network resource perception view and the network service perception view, so that node resources and link resources of the data transmission path can meet the requirements of processing and transmission performance of the service data packet. The content of the service bearing strategy is as follows: and calculating the deployment position of the network function required by the service according to the network resource perception view, the network service perception view and the resource scheduling strategy so that the network function on the transmission path can meet the functional requirement of the service.
In practical application, when a fitting decision is used, at least one data processing path for processing the target service is determined based on the network resource configuration data and the service resource configuration data, a data processing path is screened from at least one data processing path based on a preset screening rule, and the target intra-domain service node in the screened data processing path is determined.
That is, there may be multiple data processing paths capable of executing the target task, in this embodiment, after all the data processing paths are determined, an optimal data processing path is screened out based on the policies such as shortest transmission path, least resource consumption, and the like, and while the data processing path is determined, it is determined that all the data processing paths except for each target domain service node.
After the service node in the target domain is determined, the router node can be controlled to execute the service scheduling operation corresponding to the service scheduling policy, and the specific implementation process is as follows:
and issuing the data processing path and the target intra-domain service node to a target router node connected with the target intra-domain service node so that the target router node controls the target intra-domain service node to process the target service.
In practical application, the resource scheduling policy and the service bearer policy are transmitted to each router node, or only transmitted to a router connected to a service node in a target domain, so that the router node performs corresponding resource scheduling and service bearer operations accordingly. And meanwhile, continuously receiving the periodic resource configuration information and the service demand information of each router node which belongs to the same autonomous domain.
In addition, the router will perform feedback of the resource and service adaptation status after executing the resource scheduling operation and the service carrying operation. The method mainly comprises the node resource utilization rate, the link bandwidth utilization rate, the transmission performance, the service bearing efficiency and the service providing efficiency.
In the embodiment, a closed-loop control structure is adopted, specifically, a complete closed loop is formed by the resource and service perception, the resource scheduling and service bearing strategy formulation and the network feedback executed according to the strategies through artificial intelligence methods such as reinforcement learning, deep learning and neighbor perception, and strategy parameters are continuously updated through feedback results, so that the resource and service gradually and circularly approach the service experience requirement as optimally as possible, and the time-varying difference between the network resource and the service requirement is bridged to the greatest extent.
In this embodiment, a server periodically senses current network resource configuration information and service demand information transmitted by each router node, and generates a network resource sensing view and a network service sensing view; the server performs fitting decision on the resource perception view and the service perception view information to generate a resource scheduling strategy and a service bearing strategy; the router node executes corresponding resource scheduling and service bearing operation, and meets the function and performance requirements of service requirements. In the embodiment, a perception-decision-adaptation integrated intelligent management control closed loop is constructed, so that resources and services gradually and circularly approach the service experience requirement as optimally as possible, the time-varying difference between network resources and service requirements is bridged to the greatest extent, the underlying network resources and dynamically arriving service information are controlled in real time from a macroscopic perspective, efficient adaptation and dynamic fitting of the network resources and upper-layer services are realized, and the network resource utilization rate and the user experience are optimized.
Optionally, on the basis of the embodiment of the network resource configuration method, another embodiment of the present invention provides a network resource configuration device, which is applied to a server, and with reference to fig. 4, the network resource configuration device includes:
the instruction issuing module 101 is used for issuing a data acquisition instruction to a router node which is located in the same autonomous domain as the server; the data acquisition instruction is used for indicating the router node to acquire node network information of an intra-domain service node connected with the router node and service occupation resource information of unprocessed target services;
a data receiving module 102, configured to receive target data acquired by the router node; the target data comprises network configuration information and service requirement information; the network configuration information is node network information of an intra-domain service node connected with the router node; the service requirement information is service occupation resource information of unprocessed and finished target services;
and a service scheduling module 103, configured to generate, based on the target data, a service scheduling policy that is adapted to the target data and is used to process the target service, and control the router node to perform a service scheduling operation corresponding to the service scheduling policy.
In this embodiment, when performing network management control, a server may issue a data acquisition instruction to a router node located in the same autonomous domain as the server, and then receive target data including network configuration information and service demand information, and control the router to perform a service scheduling operation based on the target data, where the target data includes node network information of an intra-domain service node connected to the router node and service occupation resource information of an unprocessed target service, and further when performing network management control, a working condition of the intra-domain service node is considered, so that an obtained service scheduling policy is more suitable for an actual working condition of the intra-domain service node, and a situation that a task amount of a part of intra-domain service nodes is large and a processing time is long is avoided.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of the embodiment of the network resource configuration apparatus, the service scheduling module includes:
the first generation submodule is used for generating network resource configuration data corresponding to the network configuration information; the network resource configuration data is the integration data of the network configuration information collected by all the router nodes;
the second generation submodule is used for generating service resource configuration data corresponding to the service demand information; the service resource configuration data is the integration data of the service requirement information collected by all the router nodes;
and the data determining submodule is used for determining the service scheduling strategy based on the network resource configuration data and the service resource configuration data.
Further, the data determining sub-module is configured to, when determining the service scheduling policy based on the network resource configuration data and the service resource configuration data, specifically:
determining a data processing path for processing the target service and a target intra-domain service node which is positioned on the data processing path and is used for executing network functions required by the target service based on the network resource configuration data and the service resource configuration data; and the network resources on the data processing path can meet the service processing requirement of the target service.
Further, the data determination sub-module includes:
a path determining unit, configured to determine, based on the network resource configuration data and the service resource configuration data, at least one data processing path for processing the target service;
the path screening unit is used for screening out a data processing path from at least one data processing path based on a preset screening rule;
and the node determining unit is used for determining the target intra-domain service node in the screened data processing path.
Further, when the service scheduling module is configured to control the router node to execute the service scheduling operation corresponding to the service scheduling policy, the service scheduling module is specifically configured to:
and issuing the data processing path and the target intra-domain service node to a target router node connected with the target intra-domain service node so that the target router node controls the target intra-domain service node to process the target service.
In this embodiment, a server periodically senses current network resource configuration information and service demand information transmitted by each router node, and generates a network resource sensing view and a network service sensing view; the server performs fitting decision on the resource perception view and the service perception view information to generate a resource scheduling strategy and a service bearing strategy; the router node executes corresponding resource scheduling and service bearing operation, and meets the function and performance requirements of service requirements. In the embodiment, a perception-decision-adaptation integrated intelligent management control closed loop is constructed, so that resources and services gradually and circularly approach the service experience requirement as optimally as possible, the time-varying difference between network resources and service requirements is bridged to the greatest extent, the underlying network resources and dynamically arriving service information are controlled in real time from a macroscopic perspective, efficient adaptation and dynamic fitting of the network resources and upper-layer services are realized, and the network resource utilization rate and the user experience are optimized.
It should be noted that, for the working processes of each module, sub-module, and unit in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A network resource configuration method is applied to a server, and comprises the following steps:
issuing a data acquisition instruction to a router node which is positioned in the same autonomous domain with the server; the data acquisition instruction is used for indicating the router node to acquire node network information of an intra-domain service node connected with the router node and service occupation resource information of unprocessed target services;
receiving target data collected by the router node; the target data comprises network configuration information and service requirement information; the network configuration information is node network information of an intra-domain service node connected with the router node; the service requirement information is service occupation resource information of unprocessed and finished target services;
and generating a service scheduling strategy which is adapted to the target data and is used for processing the target service based on the target data, and controlling the router node to execute service scheduling operation corresponding to the service scheduling strategy.
2. The method according to claim 1, wherein generating a traffic scheduling policy adapted to the target data and used for processing the target traffic based on the target data comprises:
generating network resource configuration data corresponding to the network configuration information; the network resource configuration data is the integration data of the network configuration information collected by all the router nodes;
generating service resource configuration data corresponding to the service demand information; the service resource configuration data is the integration data of the service requirement information collected by all the router nodes;
and determining the service scheduling strategy based on the network resource configuration data and the service resource configuration data.
3. The method of claim 2, wherein determining the traffic scheduling policy based on the network resource configuration data and the traffic resource configuration data comprises:
determining a data processing path for processing the target service and a target intra-domain service node which is positioned on the data processing path and is used for executing network functions required by the target service based on the network resource configuration data and the service resource configuration data; and the network resources on the data processing path can meet the service processing requirement of the target service.
4. The method according to claim 3, wherein determining, based on the network resource configuration data and the service resource configuration data, a data processing path for processing the target service and a target intra-domain service node located on the data processing path and used for performing a network function required by the target service, comprises:
determining at least one data processing path for processing the target service based on the network resource configuration data and the service resource configuration data;
screening out a data processing path from at least one data processing path based on a preset screening rule;
and determining the target intra-domain service node in the screened data processing path.
5. The method according to claim 3, wherein controlling the router node to perform the service scheduling operation corresponding to the service scheduling policy comprises:
and issuing the data processing path and the target intra-domain service node to a target router node connected with the target intra-domain service node so that the target router node controls the target intra-domain service node to process the target service.
6. A network resource configuration device applied to a server is characterized in that the network resource configuration device comprises:
the instruction issuing module is used for issuing a data acquisition instruction to a router node which is positioned in the same autonomous domain with the server; the data acquisition instruction is used for indicating the router node to acquire node network information of an intra-domain service node connected with the router node and service occupation resource information of unprocessed target services;
the data receiving module is used for receiving the target data collected by the router node; the target data comprises network configuration information and service requirement information; the network configuration information is node network information of an intra-domain service node connected with the router node; the service requirement information is service occupation resource information of unprocessed and finished target services;
and the service scheduling module is used for generating a service scheduling strategy which is adaptive to the target data and is used for processing the target service based on the target data, and controlling the router node to execute service scheduling operation corresponding to the service scheduling strategy.
7. The apparatus of claim 6, wherein the traffic scheduling module comprises:
the first generation submodule is used for generating network resource configuration data corresponding to the network configuration information; the network resource configuration data is the integration data of the network configuration information collected by all the router nodes;
the second generation submodule is used for generating service resource configuration data corresponding to the service demand information; the service resource configuration data is the integration data of the service requirement information collected by all the router nodes;
and the data determining submodule is used for determining the service scheduling strategy based on the network resource configuration data and the service resource configuration data.
8. The device for configuring network resources according to claim 7, wherein the data determining sub-module is configured to, when determining the service scheduling policy based on the network resource configuration data and the service resource configuration data, specifically:
determining a data processing path for processing the target service and a target intra-domain service node which is positioned on the data processing path and is used for executing network functions required by the target service based on the network resource configuration data and the service resource configuration data; and the network resources on the data processing path can meet the service processing requirement of the target service.
9. The apparatus of claim 8, wherein the data determination sub-module comprises:
a path determining unit, configured to determine, based on the network resource configuration data and the service resource configuration data, at least one data processing path for processing the target service;
the path screening unit is used for screening out a data processing path from at least one data processing path based on a preset screening rule;
and the node determining unit is used for determining the target intra-domain service node in the screened data processing path.
10. The apparatus for configuring network resources according to claim 8, wherein the service scheduling module, when controlling the router node to perform the service scheduling operation corresponding to the service scheduling policy, is specifically configured to:
and issuing the data processing path and the target intra-domain service node to a target router node connected with the target intra-domain service node so that the target router node controls the target intra-domain service node to process the target service.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110830315A (en) * 2019-12-26 2020-02-21 中国人民解放军战略支援部队信息工程大学 Network function construction method and device
CN115426319A (en) * 2022-08-30 2022-12-02 上海飞机制造有限公司 Network resource scheduling system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050076339A1 (en) * 2003-10-03 2005-04-07 Nortel Networks Limited Method and apparatus for automated negotiation for resources on a switched underlay network
US20070286203A1 (en) * 2005-01-05 2007-12-13 Huawei Technologies Co., Ltd. Method and System for Forwarding Traffic in Bearer Network
CN103338150A (en) * 2013-07-19 2013-10-02 中国人民解放军信息工程大学 Method and device for establishing information communication network system structure, as well as server and router
CN105099936A (en) * 2015-08-31 2015-11-25 联想(北京)有限公司 Network resource configuration method and apparatus as well as network system
CN109560968A (en) * 2018-12-20 2019-04-02 中国电子科技集团公司第三十研究所 A kind of the Internet resources intelligent planning and configuration method of dynamic strategy driving

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050076339A1 (en) * 2003-10-03 2005-04-07 Nortel Networks Limited Method and apparatus for automated negotiation for resources on a switched underlay network
US20070286203A1 (en) * 2005-01-05 2007-12-13 Huawei Technologies Co., Ltd. Method and System for Forwarding Traffic in Bearer Network
CN103338150A (en) * 2013-07-19 2013-10-02 中国人民解放军信息工程大学 Method and device for establishing information communication network system structure, as well as server and router
CN105099936A (en) * 2015-08-31 2015-11-25 联想(北京)有限公司 Network resource configuration method and apparatus as well as network system
CN109560968A (en) * 2018-12-20 2019-04-02 中国电子科技集团公司第三十研究所 A kind of the Internet resources intelligent planning and configuration method of dynamic strategy driving

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
胡宇翔 等: "全维可定义的多模态智慧网络体系研究", 《通信学报》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110830315A (en) * 2019-12-26 2020-02-21 中国人民解放军战略支援部队信息工程大学 Network function construction method and device
CN110830315B (en) * 2019-12-26 2023-05-19 中国人民解放军战略支援部队信息工程大学 Network function construction method and device
CN115426319A (en) * 2022-08-30 2022-12-02 上海飞机制造有限公司 Network resource scheduling system

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