CN114363243A - Backbone link optimization method, system and equipment based on cloud network fusion technology - Google Patents
Backbone link optimization method, system and equipment based on cloud network fusion technology Download PDFInfo
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Abstract
The invention provides a backbone link optimization method based on a cloud network convergence technology, which comprises the following steps: executing SLA transfer; and performing global route optimization; in the SLA transfer step, dynamic path selection is executed, the delay and the packet loss rate of the VNP are continuously monitored, the optimal available path is determined, and all flow is distributed to the optimal available path and routed to the end-to-end network; in the step of executing global route optimization, a fully-converged backbone link network architecture is constructed, and a plurality of routes are calculated for each data packet to identify the shortest path.
Description
Technical Field
The invention relates to the field of computers, in particular to a backbone link optimization method, a backbone link optimization system and backbone link optimization equipment based on a cloud network fusion technology.
Background
Cloud network convergence is a technology of introducing a network into cloud computing and a technology of introducing cloud computing into a communication network. The service requirement and the technical innovation drive the accelerating network architecture to have deep revolution, and the cloud and the network are highly cooperative and are not independent. Cloud network convergence has become a development trend in the field of cloud computing. The development of cloud computing services needs strong network capability support, the optimization of network resources also needs to use the concept of cloud computing, and the concept of cloud network fusion is developed accordingly. The cloud network integration is a network architecture deep revolution brought by parallel drive based on business requirements and technical innovation, so that the cloud and the network are highly cooperative, mutually supported and mutually referenced, and meanwhile, a bearing network is required to open network capacity according to various cloud service requirements, agile opening and on-demand interconnection of the network and the cloud are realized, and the characteristics of intellectualization, self-service, high speed, flexibility and the like are embodied. The service capability of cloud network fusion is based on the capability of cloud access and basic connection provided by a cloud private network, cloud network products (such as a cloud private line and an SD-WAN) covering different scenes are provided outwards by combining with a cloud platform of a cloud service provider, and are deeply combined with other types of cloud services (such as computing, storage and safety cloud services), and finally extend to specific industrial application scenes, and a composite cloud network fusion solution is formed.
At present, many enterprises have a plurality of branches, the branches cannot access data of a headquarters, the headquarters cannot acquire the branched data, and the traditional special line gradually cannot deal with the problems, so that the price is high, the deployment time is long, and increasingly complex and continuously flexible business scenes of the enterprises cannot be met. More and more enterprise data or applications begin to appear in the cloud, and mutual access and intercommunication under the cloud also gradually become problems for enterprises.
With the development of informatization and diversified business requirements, more and more employees of enterprises cannot be used in offices, homes, coffee shops, tea rooms, hotels and other places to become more and more office or guest-meeting places of the employees of the enterprises. Personnel working outside cannot access the internal application of the enterprise, and no good network environment exists for working.
Disclosure of Invention
One of the objectives of the present invention is to provide a backbone link optimization method, system and device based on a cloud network convergence technology, which can perform SLA (service level agreement) transfer, dynamic path selection, and continuously monitor delay and packet loss rate of VNP, and all traffic will be distributed to an optimal available path and routed to an end-to-end network.
One of the objectives of the present invention is to provide a backbone link optimization method, system and device based on a cloud network convergence technology, which can perform global route optimization and calculate multiple routes for each packet to identify the shortest path.
In order to achieve at least one of the objectives of the present invention, the present invention provides a backbone link optimization method based on a cloud network convergence technology, which includes the following steps:
executing SLA transfer; and
performing global routing optimization;
in the SLA transfer step, dynamic path selection is executed, the delay and the packet loss rate of the VNP are continuously monitored, the optimal available path is determined, and all flow is distributed to the optimal available path and routed to the end-to-end network;
in the step of executing global route optimization, a fully-converged backbone link network architecture is constructed, and a plurality of routes are calculated for each data packet to identify the shortest path.
In some embodiments, the dynamic path selection step of the backbone link optimization method based on the cloud network convergence technology further includes the following steps:
setting a path where the first VNP is located as a default path;
monitoring the default path in real time by the monitoring equipment, and sending monitored information to the core controller when the packet loss rate of the default path is monitored to be higher than 5% or more or the time delay is monitored to be higher than the normal time delay by more than 15 ms;
the monitoring equipment sends a dynamic path selection instruction to the core controller;
and the core controller switches the default path to the line where the second VNP is located, so that dynamic path selection is realized.
In some embodiments, the performing SLA migration step of the backbone link optimization method based on cloud network convergence technology further comprises the steps of:
when the monitoring equipment monitors that the packet loss rate exceeds a threshold value or the delay exceeds the threshold value for more than 1 minute, the monitoring equipment sends a switching instruction to the controller;
the controller performs route switching;
and if the bandwidth of the second optimal path cannot be loaded, switching to the second optimal path.
In some embodiments, the backbone link optimization method based on the cloud network convergence technology further includes the following steps: and setting a plurality of VNPs to execute bottom layer whole network intercommunication.
In some embodiments, the step of performing global route optimization of the backbone link optimization method based on cloud network convergence technology further comprises the steps of:
establishing a shortest path algorithm model and judging the shortest path of the line;
setting the shortest path of the line as a local path weight;
when receiving data sent by a client, carrying out routing selection according to the local path weight;
the shortest path calculation is continuously executed while the data sent by the client side is received, and when the data is updated, the transmission path of the next data packet to be sent is modified.
In some embodiments, the backbone link optimization method based on the cloud network convergence technology further includes the following steps: and constructing a service access gateway pool, providing access and convergence, and guiding the flow into a fully-converged backbone link network architecture.
In some embodiments, the backbone link optimization method based on the cloud network convergence technology further includes the following steps: a plurality of VNPs are set as TCP agents, and end-to-end TCP throughput is improved.
According to another aspect of the present invention, there is also provided a backbone link optimization system based on a cloud network convergence technology, including an SLA transfer module and a global routing optimization module, where the SLA transfer module is configured to perform dynamic path selection, continuously monitor delay and packet loss rate of a VNP, determine an optimal available path, allocate all traffic to the optimal available path, and route to an end-to-end network; the global route optimization module is configured to construct a fully converged backbone link network architecture, compute a plurality of routes for each data packet to identify shortest paths; wherein the SLA transfer module is further configured to: setting a path where the first VNP is located as a default path; monitoring the default path in real time by the monitoring equipment, and sending monitored information to the core controller when the packet loss rate of the default path is monitored to be higher than 5% or more or the time delay is monitored to be higher than the normal time delay by more than 15 ms; the monitoring equipment sends a dynamic path selection instruction to the core controller; the core controller switches the default path to a line where the second VNP is located, so that dynamic path selection is achieved; wherein the global route optimization module is further configured to: when the monitoring equipment monitors that the packet loss rate exceeds a threshold value or the delay exceeds the threshold value for more than 1 minute, the monitoring equipment sends a switching instruction to the controller; the controller performs route switching; and if the bandwidth of the second optimal path cannot be loaded, switching to the second optimal path.
In some embodiments, wherein the global routing optimization module is further configured to: and judging the shortest path of the line according to an algorithm, setting the shortest path as a local path weight, preferentially selecting a route according to the local path weight when the client sends data, continuously calculating the shortest path by the global route optimization module when the client sends the data, and modifying the transmission path of a next data packet to be sent if the shortest path is updated.
According to another aspect of the present invention, there is also provided a backbone link optimization device based on a cloud network convergence technology, including:
a memory for storing a software application,
and the processor is used for executing the software application programs, and each software application program can correspondingly execute the steps in the backbone link optimization method based on the cloud network fusion technology.
According to another aspect of the present invention, the present invention further provides a backbone link optimization method for a network system based on a cloud network convergence technology, wherein the optimization method includes the following steps:
(a) SLA transfer;
(b) dynamic path selection, wherein the network system constantly monitors the delay and packet loss rate of a service access gateway pool, and all traffic is distributed to the optimal available path and routed to an end-to-end network; and
(c) global routing optimization, the global service access gateway pool of the network system forms a fully converged network architecture and computes multiple routes for each packet to identify the shortest path.
In some embodiments, the optimization method further comprises:
setting a path of a first access gateway as a default path;
monitoring the default path in real time by the monitoring equipment, and sending monitored information to the core controller when the packet loss rate of the default path is monitored to be higher than 5% or more or the time delay is monitored to be higher than the normal time delay by more than 15 ms;
the monitoring equipment sends a dynamic path selection instruction to the core controller;
and the core controller switches the default path to the line where the second access gateway is positioned, so that dynamic path selection is realized.
In some embodiments, the optimization method further comprises:
when the monitoring equipment monitors that the packet loss rate exceeds a threshold value or the delay exceeds the threshold value for more than 1 minute, the monitoring equipment sends a switching instruction to the controller;
the controller performs route switching;
and if the bandwidth of the second optimal path cannot be loaded, switching to the second optimal path.
In some embodiments, the optimization method further comprises:
establishing a shortest path algorithm model and judging the shortest path of the line;
setting the shortest path of the line as a local path weight;
when receiving data sent by a client, carrying out routing selection according to the local path weight;
the shortest path calculation is continuously executed while the data sent by the client side is received, and when the data is updated, the transmission path of the next data packet to be sent is modified.
In some embodiments, the optimization method further comprises:
and constructing a service access gateway pool, providing access and convergence, and guiding the flow into a fully-converged backbone link network architecture.
In some embodiments, multiple access gateways are provided as TCP proxies to improve end-to-end TCP throughput.
According to another aspect of the present invention, the present invention further provides a network system based on cloud network convergence, including:
a user terminal access device;
a cloud central controller; and
providing a service access gateway for accessing and converging traffic and guiding the traffic to a backbone network, wherein the user side access device is connected with the cloud central controller through the service access gateway to realize network connection, wherein the network system continuously monitors delay and packet loss rate of a service access gateway pool, all traffic can be distributed to an optimal available path and routed to an end-to-end network, a global service access gateway pool of the network system forms a fully converged network architecture, and a plurality of routes are calculated for each packet to identify a shortest path.
In some embodiments, the method further comprises an application guarantee module, wherein the dynamic multi-path optimization is based on the performance index, the application requirement, the application service priority and the link cost, and guides the data packet to the optimal link for each data packet.
In some embodiments, the network system is a globally distributed SLA-guaranteed backbone network link, and the network system allocates all traffic to the best available path and routes to the end-to-end network through SLA migration, dynamic path selection, and continuous monitoring of access gateway delay and packet loss rate.
In some embodiments, when the monitoring device monitors that the packet loss rate exceeds the threshold or the delay exceeds the threshold for more than 1 minute, the monitoring device will want the controller to issue an instruction, so that the controller will perform route switching, adjust the priority for the route in the area, and suck the route subjected to high delay and packet loss onto a normal suboptimal path, and switch to a second suboptimal path if the bandwidth of the suboptimal path cannot be loaded.
Drawings
Fig. 1 is a flowchart of a backbone link optimization method based on a cloud network convergence technology according to an embodiment of the present invention.
Fig. 2 is a system diagram of a network system cloud network convergence platform based on a cloud network convergence technology according to an embodiment of the present invention.
Fig. 3 is a schematic hierarchical diagram of the network system cloud convergence platform according to the first preferred embodiment of the present invention.
Fig. 4 is a schematic method step diagram of a backbone link path optimization method based on a cloud network convergence technology according to an embodiment of the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
The present invention relates to a computer program. Fig. 1 is a flowchart of a backbone link optimization method based on a cloud network convergence technology according to the present invention, which illustrates a solution for solving the problems of the present invention, and the solution is implemented by executing a computer program compiled according to the above-mentioned flow through a computer based on a computer program processing flow, so as to control or process an external object or an internal object of the computer. By the backbone link optimization method based on the cloud network fusion technology, SLA (service level agreement) transfer and dynamic path selection can be performed by using a computer system, delay and packet loss rate of VNP (virtual network processor) are continuously monitored, all traffic can be distributed to the optimal available path and routed to an end-to-end network, global routing optimization can be performed, and a plurality of routes are calculated for each data packet to identify the shortest path.
Specifically, the backbone link optimization method based on the cloud network convergence technology includes the following steps:
executing SLA transfer; and
performing global routing optimization;
in the SLA transfer step, dynamic path selection is executed, the delay and the packet loss rate of the VNP are continuously monitored, the optimal available path is determined, and all flow is distributed to the optimal available path and routed to the end-to-end network;
in the step of executing global route optimization, a fully-converged backbone link network architecture is constructed, and a plurality of routes are calculated for each data packet to identify the shortest path.
Further, the dynamic path selection step of the backbone link optimization method based on the cloud network convergence technology further includes the following steps:
setting a path where the first VNP is located as a default path;
monitoring the default path in real time by the monitoring equipment, and sending monitored information to the core controller when the packet loss rate of the default path is monitored to be higher than 5% or more or the time delay is monitored to be higher than the normal time delay by more than 15 ms;
the monitoring equipment sends a dynamic path selection instruction to the core controller;
and the core controller switches the default path to the line where the second VNP is located, so that dynamic path selection is realized.
Further, the SLA migration execution step of the backbone link optimization method based on the cloud network convergence technology further includes the following steps:
when the monitoring equipment monitors that the packet loss rate exceeds a threshold value or the delay exceeds the threshold value for more than 1 minute, the monitoring equipment sends a switching instruction to the controller;
the controller performs route switching;
and if the bandwidth of the second optimal path cannot be loaded, switching to the second optimal path.
Further, the backbone link optimization method based on the cloud network convergence technology further comprises the following steps: and setting a plurality of VNPs to execute bottom layer whole network intercommunication.
It is worth mentioning that because a plurality of VNPs are arranged to realize the bottom layer whole network intercommunication, the loop can be prevented according to the priority, and the whole network traffic is optimal and most reliable.
Further, the step of performing global route optimization of the backbone link optimization method based on the cloud network convergence technology further includes the steps of:
establishing a shortest path algorithm model and judging the shortest path of the line;
setting the shortest path of the line as a local path weight;
when receiving data sent by a client, carrying out routing selection according to the local path weight;
the shortest path calculation is continuously executed while the data sent by the client side is received, and when the data is updated, the transmission path of the next data packet to be sent is modified.
Further, the backbone link optimization method based on the cloud network convergence technology further comprises the following steps: and constructing a service access gateway pool, providing access and convergence, and guiding the flow into a fully-converged backbone link network architecture.
Further, the backbone link optimization method based on the cloud network convergence technology further comprises the following steps: a plurality of VNPs are set as TCP agents, and end-to-end TCP throughput is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Those skilled in the art will appreciate that the methods of the present invention can be implemented in hardware, software, or a combination of hardware and software. The present invention can be realized in a centralized fashion in at least one computer system, or in a distributed fashion where different elements are spread across several interconnected computer systems. Any kind of computer system or other apparatus adapted for carrying out the methods described herein is suited. A typical combination of hardware and software could be a general purpose computer system with a computer program that, when being loaded and executed, controls the computer system such that it carries out the methods described herein.
The present invention can be embedded in a computer program product, which comprises all the features enabling the implementation of the methods described herein. The computer program product is embodied in one or more computer-readable storage media having computer-readable program code embodied therein. According to another aspect of the invention, there is also provided a computer-readable storage medium having stored thereon a computer program capable, when executed by a processor, of performing the steps of the method of the invention. Computer storage media is media in computer memory for storage of some discrete physical quantity. Computer storage media includes, but is not limited to, semiconductors, magnetic disk storage, magnetic cores, magnetic drums, magnetic tape, laser disks, and the like. It will be appreciated by persons skilled in the art that computer storage media are not limited by the foregoing examples, which are intended to be illustrative only and not limiting of the invention.
Corresponding to the embodiment of the method of the present invention, according to another aspect of the present invention, a backbone link optimization system based on a cloud network convergence technology is also provided, and the system is an application of the backbone link optimization method based on the cloud network convergence technology in computer program improvement.
Specifically, the backbone link optimization system based on the cloud network convergence technology comprises an SLA transfer module and a global routing optimization module, wherein the SLA transfer module is configured to execute dynamic path selection, continuously monitor delay and packet loss rate of a VNP, determine an optimal available path, distribute all traffic to the optimal available path and route the optimal available path to an end-to-end network; wherein the global route optimization module is configured to construct a fully converged backbone link network architecture, computing a plurality of routes for each data packet to identify shortest paths.
More specifically, the SLA transfer module is further configured to: setting a path where the first VNP is located as a default path; monitoring the default path in real time by the monitoring equipment, and sending monitored information to the core controller when the packet loss rate of the default path is monitored to be higher than 5% or more or the time delay is monitored to be higher than the normal time delay by more than 15 ms; the monitoring equipment sends a dynamic path selection instruction to the core controller; and the core controller switches the default path to the line where the second VNP is located, so that dynamic path selection is realized.
More specifically, the global routing optimization module is further configured to: when the monitoring equipment monitors that the packet loss rate exceeds a threshold value or the delay exceeds the threshold value for more than 1 minute, the monitoring equipment sends a switching instruction to the controller; the controller performs route switching; and if the bandwidth of the second optimal path cannot be loaded, switching to the second optimal path.
More specifically, the global routing optimization module is further configured to: and judging the shortest path of the line according to an algorithm, setting the shortest path as a local path weight, preferentially selecting a route according to the local path weight when the client sends data, continuously calculating the shortest path by the global route optimization module when the client sends the data, and modifying the transmission path of a next data packet to be sent if the shortest path is updated.
According to another aspect of the present invention, there is also provided a backbone link optimization device based on a cloud network convergence technology, including: a software application, a memory for storing the software application, and a processor for executing the software application. Each program of the software application program can correspondingly execute the steps in the backbone link optimization method based on the cloud network convergence technology.
A typical combination of hardware and software could be a general purpose computer system with a computer program that, when being loaded and executed, controls the computer system such that it carries out the methods described herein.
It will be appreciated by those skilled in the art that the present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, systems and computer program products according to the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and/or block diagram block or blocks.
Referring to fig. 2 to 4 of the accompanying drawings of the present specification, a backbone link optimization method, system and device based on a cloud network convergence technology according to a first preferred embodiment of the present invention are further explained. The network system cloud network fusion platform comprises an operation background, hardware equipment and a user side APP. The network system cloud network fusion platform of the preferred embodiment of the invention is mainly used for solving network problems of enterprise multi-branch networking, multi-branch and cloud networking, cross-cloud networking, enterprise personnel mobile office, access application optimization and the like. It is worth mentioning that as data analysis, media traffic, storage requirements, and data backup increase, more and more data is being transmitted between data centers, cloud environments, branches, and other remote locations. The growth in traffic has necessitated optimization of the performance of Wide Area Networks (WANs) and the applications running thereon. With the steady rise of traffic, network administrators can also see that the delay in the transmission of sensitive data is increasing. The network system of the present invention provides WAN and application performance optimization for scalability and throughput required for traffic transmission. In addition, the network system of the present invention uses techniques such as deduplication, compression, and other protocol optimization to optimize performance, including increased bandwidth capacity, network latency, monitoring and management of protocols and overall network traffic.
It is worth mentioning that enterprise WAN construction faces multiple challenges, including high cost of network link construction and complex networking, and when the key application experience is difficult to guarantee, the problems of complex operation and maintenance of the global network, invisible branch network state, difficult fault location and the like cannot be ignored.
The network system based on cloud network convergence comprises a user side access device 10, a cloud central controller 20 and a service access gateway 30 for providing access and convergence and guiding traffic to a backbone network, wherein the user side access device 10 is in network connection with the cloud central controller 20 through the service access gateway 30. The customer premise access device 10 may be implemented as an enterprise site or data center edge access router device, and the cloud central controller 20 is used to manage and configure the access of the service access gateway 30 and the customer premise access device 10, so as to implement several scheduling and management of the whole network.
It will be understood that the subscriber access device 10 includes a fixed address router and a mobile subscriber access device, such as a mobile communication device.
As shown in fig. 3, the service platform based on the cloud network convergence network system is divided into four layers, including an access layer, a data layer, a control layer, and a management layer, where the access layer mainly passes through various types of client devices such as CPE \ UCPE \ VCPE; wherein the data layer comprises multi-WAN access, multi-WAN pooling, multi-WAN bundling, etc.; the control layer comprises intelligent routing, intelligent QoS, overlay tunnel, TCP/UDP wide area network transmission optimization, NFV safety and the like; the management layer comprises intelligent application identification, security/operation and maintenance strategy unified management, equipment unified management, whole network unified monitoring and the like.
In the preferred embodiment of the present invention, the network system based on cloud network convergence includes a networking module in which the client access devices 10, such as high-performance branch office client edge devices (CPEs), i.e., virtual CPEs (vces), are extremely easy to deploy and support various levels of throughput performance. Multiple wired connection options on the WAN side are supported and can be deployed remotely from the Orchestrator. When enabled, it may automatically detect line characteristics such as bandwidth, delay, etc. The client access device 10 uses the SD-WAN Gateway to build a secure overlay network across all available links and begins to direct applications according to the configured policies. Dynamic Multi-Path Optimization (DMPO) can dynamically direct packets to be transmitted over the best available Path and apply on-demand link repair to protect critical applications from the underperformance of the underlying transport, thereby ensuring an excellent application experience.
The network system based on cloud network fusion comprises an application guarantee module, dynamic multi-path optimization is carried out according to performance indexes, application requirements, application service priority and link cost, and data packets are guided to the optimal link aiming at each data packet. A virtual high bandwidth pipe may be created using inexpensive broadband links and leased lines to improve WAN economics and quality. After real-time traffic with higher traffic priority (e.g., VOIP) is determined, on-demand forward error correction operations may be performed to reduce or eliminate packet loss.
The network system based on cloud network fusion comprises an operation and maintenance module, and a cloud centralized arrangement function provides centralized strategy management, monitoring, fault removal and simplified control plane elements. Its multi-tenant architecture allows operators to easily deploy new customers and manage across multiple customers. The policy framework provides business-level abstraction handling functionality for how the network directs application flows across different transport modes towards a hybrid cloud target.
As shown in fig. 1 to 4, in the preferred embodiment of the present invention, the network system based on the cloud convergence technology optimizes the backbone chain, wherein the network system is a globally distributed SLA-guaranteed backbone link. Over IP transport, as is not true for public networks, is not as full of uncertainty. It is worth mentioning that the network system continuously monitors delay and packet loss rate of VNP through SLA transition, dynamic path selection, and all traffic is distributed to the best available path and routed to the peer-to-peer network. Global routing optimization, the network system calculates multiple routes for each packet to identify shortest paths. Directing traffic directly to the destination is usually the best option, but sometimes it may be better to go through multiple VNPs. It is worth mentioning that the VNP as described in any of the above refers to a service access gateway pool vertex wan Network Point, i.e. each VNP is a Network node (access gateway).
Dynamic path selection, and the explanation of the whole flow chart of the process of continuously monitoring the delay and packet loss rate of the VNP. Firstly, the default path is the path where VNP1 (the first access gateway) is located, and when it is monitored that the packet loss rate of the path is up to 5% or more or the delay is higher than the normal delay by more than 15ms, the monitoring device will notify the core controller, and issue an instruction to the core controller to switch to the line where VNP2 (the second access gateway) is located, so that dynamic path selection is implemented.
When the monitoring equipment monitors that the packet loss rate exceeds the threshold or the delay exceeds the threshold for more than 1 minute, the monitoring equipment will want the controller to issue an instruction, so that the controller will perform route switching, adjust the priority according to the route in the area, suck the route subjected to high delay and packet loss to a normal suboptimal path, and switch to a second suboptimal path if the bandwidth of the suboptimal path cannot be loaded. The multiple VNPs realize the intercommunication of the whole bottom network, prevent loops according to the priority and realize the optimal and most reliable flow of the whole network.
The network system firstly judges the shortest path of the line according to an algorithm, sets the shortest path weight to a local path weight, preferentially performs routing selection according to the weight when a client sends data, meanwhile, continuously performs shortest path calculation by a background when the client sends the data, and modifies the transmission path of the next data packet to be sent if the client updates the shortest path.
As shown in fig. 4, according to an aspect of the present invention, the present invention provides a backbone link optimization method based on a cloud network convergence technology, where the backbone link path optimization method includes the following steps:
(a) SLA transfer;
(b) dynamic path selection, wherein the network system constantly monitors the delay and packet loss rate of a service access gateway pool, and all traffic is distributed to the optimal available path and routed to an end-to-end network; and
(c) global routing optimization, the global service access gateway pool of the network system forms a fully converged network architecture and computes multiple routes for each packet to identify the shortest path.
TCP congestion control, where each serving access gateway pool acts as a TCP proxy to reduce latency. The proxy server can direct the TCP clients to feel that they are closer to the destination than the actual distance to allow them to set a larger TCP window. In addition, the network system uses a high-level version of TCP congestion control, allowing terminals to connect to the network system to send or accept more data and better utilize bandwidth; this increases the overall throughput and reduces the time required to fix the error.
And dynamically intelligently selecting a service access gateway pool, wherein the user side access equipment and the mobile electronic equipment are connected to the nearest available service access gateway pool to ensure the optimal performance of the last kilometer. In each region, the service access gateway pools are gathered together in a pool form, and a user can select the service access gateway pool with the best performance in the corresponding region according to needs. The selection of the serving access gateway pool is based on lowest delay and least packet loss. Once connected, the user side access device or the mobile electronic device will continuously search the best path and immediately update the available service access gateway pool. Within a predetermined time period, the client will move to the pool of best serving access gateways if there is a better choice.
The application priority is set, and the priority can be set for the application of the key service set by the user, such as voice or video conference, or cloud service, such as Office 365. Application priority can guarantee that a given application has access to the available bandwidth to meet traffic demands.
Policy routing (PBR), wherein the network system instantly classifies and dynamically allocates traffic to links based on preset application policies and quality of service indicators. The traffic requirements and priorities are contained within the policy to define the service level of the application. For data sensitive applications, such as voice and video, the network system will select the path with the lowest packet loss rate.
The optimization for backbone links includes (1) SLA migration, wherein the network system is a globally distributed SLA-provisioned backbone link. By IP transmission, the availability of five 9 percent and the guarantee of 0.1 percent packet loss are realized, and the network is not full of uncertainty like a public network; (2) dynamic path selection, the network system continuously monitors the delay and packet loss rate of a service access gateway pool, and all traffic is distributed to the optimal available path and routed to an end-to-end network; and (3) global routing optimization, wherein a global service access gateway pool of the network system forms a fully converged network architecture. The network system calculates a plurality of routes for each packet to identify shortest paths. Directing traffic directly to the destination is usually the best choice, but sometimes it may be better to go through multiple pools of serving access gateways. It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The objects of the invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.
Claims (10)
1. A backbone link optimization method of a network system based on a cloud network convergence technology is characterized by comprising the following steps:
(a) SLA transfer;
(b) dynamic path selection, wherein the network system constantly monitors the delay and packet loss rate of a service access gateway pool, and all traffic is distributed to the optimal available path and routed to an end-to-end network; and
(c) global routing optimization, the global service access gateway pool of the network system forms a fully converged network architecture and computes multiple routes for each packet to identify the shortest path.
2. The optimization method of claim 1, wherein the optimization method further comprises:
setting a path of a first access gateway as a default path;
monitoring the default path in real time by the monitoring equipment, and sending monitored information to the core controller when the packet loss rate of the default path is monitored to be higher than 5% or more or the time delay is monitored to be higher than the normal time delay by more than 15 ms;
the monitoring equipment sends a dynamic path selection instruction to the core controller;
and the core controller switches the default path to the line where the second access gateway is positioned, so that dynamic path selection is realized.
3. The optimization method of claim 1, wherein the optimization method further comprises:
when the monitoring equipment monitors that the packet loss rate exceeds a threshold value or the delay exceeds the threshold value for more than 1 minute, the monitoring equipment sends a switching instruction to the controller;
the controller performs route switching;
and if the bandwidth of the second optimal path cannot be loaded, switching to the second optimal path.
4. The optimization method of claim 1, wherein the optimization method further comprises:
establishing a shortest path algorithm model and judging the shortest path of the line;
setting the shortest path of the line as a local path weight;
when receiving data sent by a client, carrying out routing selection according to the local path weight;
the shortest path calculation is continuously executed while the data sent by the client side is received, and when the data is updated, the transmission path of the next data packet to be sent is modified.
5. The optimization method according to any one of claims 1 to 4, wherein the optimization method further comprises:
and constructing a service access gateway pool, providing access and convergence, and guiding the flow into a fully-converged backbone link network architecture.
6. The optimization method according to claim 5, wherein a plurality of access gateways are provided as TCP agents to improve end-to-end TCP throughput.
7. Network system based on cloud network fuses, its characterized in that includes:
a user terminal access device;
a cloud central controller; and
providing a service access gateway for accessing and converging traffic and guiding the traffic to a backbone network, wherein the user side access device is connected with the cloud central controller through the service access gateway to realize network connection, wherein the network system continuously monitors delay and packet loss rate of a service access gateway pool, all traffic can be distributed to an optimal available path and routed to an end-to-end network, a global service access gateway pool of the network system forms a fully converged network architecture, and a plurality of routes are calculated for each packet to identify a shortest path.
8. The network system of claim 7, further comprising an application assurance module that dynamically multi-path optimizes based on performance metrics, application requirements, application traffic priorities, and link costs and directs packets to the best link for each packet.
9. The network system according to claim 7, wherein the network system is a globally distributed SLA-guaranteed backbone network link, and the network system distributes all traffic to the best available path and routes to the end-to-end network through SLA migration, dynamic path selection, and continuous monitoring of access gateway delay and packet loss rate.
10. The network system according to claim 9, wherein when the monitoring device monitors that the packet loss rate exceeds the threshold or the delay exceeds the threshold for more than 1 minute, the monitoring device will instruct the controller to perform route switching, adjust the priority for the route in the area, and suck the route with high delay and packet loss to the normal suboptimal path, and switch to the second suboptimal path if the bandwidth of the suboptimal path cannot be supported.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101951658A (en) * | 2010-09-16 | 2011-01-19 | 北京邮电大学 | Mobile self-networking Internet gateway routing selection method based on path quality perception |
| US20160212031A1 (en) * | 2015-01-14 | 2016-07-21 | Hughes Network Systems, Llc | Determining link conditions of a client lan/wan from measurement point to client devices and application servers of interest |
| CN108259237A (en) * | 2018-01-05 | 2018-07-06 | 葛晗 | Network access accelerated method, cloud dns server, CE and cloud IP accelerate network system |
| CN108307435A (en) * | 2018-01-29 | 2018-07-20 | 大连大学 | A kind of multitask route selection method based on SDSIN |
| CN108521375A (en) * | 2018-04-17 | 2018-09-11 | 中国矿业大学 | The transmission of the network multi-service flow QoS based on SDN a kind of and dispatching method |
| CN108881293A (en) * | 2018-07-23 | 2018-11-23 | 中国联合网络通信集团有限公司 | Access gateway, the method and its system of talk path selection |
| CN110944363A (en) * | 2018-09-21 | 2020-03-31 | 华为技术有限公司 | Gateway switching method, gateway reselection method and communication device |
-
2021
- 2021-06-07 CN CN202110629951.5A patent/CN113438165A/en not_active Withdrawn
-
2022
- 2022-01-10 CN CN202210024056.5A patent/CN114363243B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101951658A (en) * | 2010-09-16 | 2011-01-19 | 北京邮电大学 | Mobile self-networking Internet gateway routing selection method based on path quality perception |
| US20160212031A1 (en) * | 2015-01-14 | 2016-07-21 | Hughes Network Systems, Llc | Determining link conditions of a client lan/wan from measurement point to client devices and application servers of interest |
| CN108259237A (en) * | 2018-01-05 | 2018-07-06 | 葛晗 | Network access accelerated method, cloud dns server, CE and cloud IP accelerate network system |
| CN108307435A (en) * | 2018-01-29 | 2018-07-20 | 大连大学 | A kind of multitask route selection method based on SDSIN |
| CN108521375A (en) * | 2018-04-17 | 2018-09-11 | 中国矿业大学 | The transmission of the network multi-service flow QoS based on SDN a kind of and dispatching method |
| CN108881293A (en) * | 2018-07-23 | 2018-11-23 | 中国联合网络通信集团有限公司 | Access gateway, the method and its system of talk path selection |
| CN110944363A (en) * | 2018-09-21 | 2020-03-31 | 华为技术有限公司 | Gateway switching method, gateway reselection method and communication device |
Non-Patent Citations (1)
| Title |
|---|
| 周鸣争: "计算机网络", 中国科学技术大学出版社, pages: 375 - 377 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115348175A (en) * | 2022-06-02 | 2022-11-15 | 深圳市高德信通信股份有限公司 | SD-WAN centralized policy management method |
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