CN113676399A - Dynamic intelligent selection method for service access gateway and network system based on cloud network fusion - Google Patents
Dynamic intelligent selection method for service access gateway and network system based on cloud network fusion Download PDFInfo
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention provides a dynamic intelligent selection method for a service access gateway and a network system based on cloud network fusion, wherein the network system comprises a user side access device, a cloud central controller and a service access gateway for providing access and convergence and guiding flow into a backbone network, the user side access device is connected with the cloud central controller through the service access gateway to realize network connection, the service access gateway which can be accessed is converged based on the location of the client side access device, a service gateway pool is formed, and the optimal service access gateway in the corresponding area in the service gateway pool is selected based on the lowest delay and the least packet loss.
Description
Technical Field
The invention relates to the technical field of networks, in particular to a dynamic intelligent selection method for a service access gateway and a network system based on cloud network fusion.
Background
The cloud network convergence technology 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. 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.
For multi-branch enterprises, cloud-going enterprises, chain enterprises and the like, the multi-branch enterprises, cloud-going enterprises and the like have a plurality of branches, the branches cannot access data of a headquarter, the headquarter cannot acquire the branched data, the traditional special line gradually cannot deal with the problems, 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. The enterprise WAN construction faces multiple challenges, including high cost of network link construction and complex networking, and the problems of complex operation and maintenance of the global network, invisible branch network state, difficult fault location and the like cannot be ignored while the key application experience is difficult to guarantee.
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.
In addition, as data analysis, media traffic, storage requirements, and data backup increase, more and more data is being transferred 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. WAN and application performance optimization solutions that provide the scalability and throughput needed for traffic transmission have become a necessary choice for enterprises. Techniques such as deduplication, compression, and other protocol optimization are used to optimize performance, including increased bandwidth capacity, network latency, monitoring and management of protocols and overall network traffic.
In addition, the existing cloud network products such as the last kilometer of the SD-WAN, namely, the client has the problem of how to delay the mitigation and how to achieve the maximization of the throughput.
Disclosure of Invention
One of the main advantages of the present invention is to provide a service access gateway dynamic intelligent selection method and a network system based on cloud network convergence, wherein the service access gateway dynamic intelligent selection method increases the total throughput and reduces the time required for correcting errors.
Another advantage of the present invention is to provide a dynamic intelligent selection method for service access gateway and a network system based on cloud convergence, wherein each network point of the network system acts as a TCP proxy server to reduce delay.
Another advantage of the present invention is to provide a service access gateway dynamic intelligent selection method and a network system based on cloud network convergence, in which a proxy server can "induce" TCP clients to feel that they are closer to a destination than the actual distance, so as to allow them to set a larger TCP window.
Another advantage of the present invention is to provide a dynamic intelligent selection method for service access gateways and a network system based on cloud network convergence, wherein the network system includes a user side access device, a service access gateway and a cloud central controller, and wherein the selection of the service access gateway is based on the lowest delay and the least packet loss, and once connected, the user side access device will continuously search the best path and immediately update the available service access gateway.
Another advantage of the present invention is to provide a service access gateway dynamic intelligent selection method and a network system based on cloud network convergence, wherein the customer premise access device is connected to the nearest available service access gateway to ensure the best performance of the last kilometer.
In accordance with one aspect of the present invention, the foregoing and other objects and advantages are achieved by a dynamic intelligent selection method for a service access gateway, comprising:
(a) converging accessible service access gateways based on the location of the client access equipment, and forming a service gateway pool; and
(b) and selecting the best service access gateway in the corresponding region in the service gateway pool based on the lowest delay and the least packet loss.
According to one embodiment of the invention, each of the serving access gateways acts as a TCP proxy to reduce latency.
According to one embodiment of the invention, the proxy server induces the TCP client to feel closer to the destination than the actual distance to allow the TCP client to set a larger TCP window.
According to one embodiment of the invention, the client access device is accessed through the service access gateway to send or receive more data and better utilize bandwidth.
According to an embodiment of the present invention, the method for dynamically intelligently selecting a service access gateway further includes the step (c) when the client access device is connected, the client access device continuously searches for the best path, and updates the available service access gateway in time.
According to an embodiment of the present invention, step (b) of the dynamic intelligent selection method at the service access gateway of the present invention further includes:
(b.1) according to the bandwidth, delay and packet loss conditions of the line, combining the local line condition of the client access equipment, and calculating the weight value of the client access equipment; and
(b.2) issuing each of the client access devices to be connected to the service access gateway through a control flow, and selecting the optimal service access gateway for connection when the client access devices are subjected to the control flow information.
According to an embodiment of the invention, when the client access device passes through the control flow of the cloud central controller, the optimal service access gateway is detected in real time, and meanwhile, when a user is connected to a certain service access gateway, the system background still executes detection work, so that the optimal service access gateway access point is still selected after the user is disconnected and reconnected.
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
and providing a service access gateway for accessing and converging flow and guiding the flow into a backbone network, wherein the user side access equipment realizes network connection with the cloud central controller through the service access gateway, the service access gateway which can be accessed is converged based on the location of the client side access equipment, a service gateway pool is formed, and the optimal service access gateway in the corresponding area in the service gateway pool is selected based on the lowest delay and the lowest packet loss.
According to one embodiment of the invention, each of the service access gateways acts as a TCP proxy to reduce latency, the proxy inducing the TCP client to feel closer to the destination than the actual distance, allowing the TCP client to set a larger TCP window.
According to an embodiment of the present invention, a weight value for a client access device is calculated according to a bandwidth, a delay, and a packet loss condition of a line in combination with a local line condition of the client access device, each client access device to be connected to the service access gateway is issued through a control flow, and when the client access device receives the control flow information, the optimal service access gateway is selected for connection.
Further objects and advantages of the invention will be fully apparent from the ensuing description and drawings.
These and other objects, features and advantages of the present invention will become apparent from the following detailed description and the accompanying drawings.
Drawings
Fig. 1 is a system diagram of a network system cloud network convergence platform according to a first preferred embodiment of the present invention.
Fig. 2 is a schematic hierarchical diagram of the network system cloud network convergence platform according to the first preferred embodiment of the present invention.
Fig. 3 is a schematic diagram illustrating a method for dynamically intelligently selecting a serving access gateway according to the first preferred 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 will be understood by those skilled in the art that in the present disclosure, the terms "longitudinal," "lateral," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in an orientation or positional relationship indicated in the drawings for ease of description and simplicity of description, and do not indicate or imply that the referenced device or element must be constructed and operated in a particular orientation and thus should not be considered limiting.
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.
Referring to fig. 1 to 3 of the drawings in the specification of the present invention, a dynamic intelligent selection method for a service access gateway and a network system based on cloud network convergence according to a first preferred embodiment of the present invention are set forth in the following description. 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.
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. 2, 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 is mainly configured by 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.
In the preferred embodiment of the present invention, the service access gateway dynamic intelligent selection method and the network system based on cloud network convergence of the present invention mainly solve the last kilometer problem between the client access device 10 and the service access gateway 30, that is, optimize the client access device 10 to dynamically intelligently select the service access gateway 30, so as to delay the mitigation and maximize the throughput.
For TCP congestion control, in the preferred embodiment of the present invention, each of the serving access gateways 30 acts as a TCP proxy to reduce latency. The proxy server can "induce" 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 of the invention uses a high-level version of TCP congestion control, allowing terminals to connect to the network system of the invention to send or receive more data and better utilize bandwidth; this increases the overall throughput and reduces the time required to fix the error.
For the dynamic intelligent selection of the service access gateway 30, the client access device and the mobile access device are connected to the nearest available service access gateway 30 to ensure the best performance of the last kilometer. In each region, the service access gateways 30 are gathered together in a pool form, and a user can select the service access gateway 30 with the best performance in the corresponding region according to needs. The selection of the serving access gateway 30 is based on lowest delay and least packet loss. Once connected, the client access device or the mobile access device will continuously search for the best path and immediately update the available service access gateway 30. Within a predetermined time period, the client will move to the best of the service access gateways 30 if there is a better choice.
Mobile office and access to business data with personal devices is a challenge to the security of traditional networks. The existing SD-WAN cannot provide services to mobile users. At the same time, the mobile services access gateway cannot provide the last mile optimization, resulting in high latency and unpredictable network environment for the user to access the enterprise data center. In addition, security controls are limited for mobile services access gateways, forcing IT to open access to all network resources. In order to protect the internet access of the mobile terminal, additional security management and control are required, that is, a next-generation firewall, IPS, threat protection, and the like. These security controls are typically deployed in a data center, and therefore, the mobile services access gateway must deliver traffic to the data center before it reaches the internet, which can make the user experience worse, especially in the absence of security. The productivity of users is not influenced, and the network security of enterprises is also influenced.
Therefore, the network system of the invention provides the same route optimization service, security policy and management control for the mobile users. For optimized mobile access, the network system of the present invention eliminates latency from internet-based connections. Mobile users can dynamically connect to the nearest service access gateway 30, the service access gateway 30 uses a separate tunnel to securely route traffic directly to the public network, and WAN traffic will go through the backbone of the network system of the present invention to data centers and other corporate sites. The network system of the invention optimizes the flow of enterprise sites and cloud and provides service for mobile users.
The network system of the invention optimizes the backbone network link and the last kilometer respectively, and is more effective than the optimization of the instrument applied to the edge equipment. In the last kilometer, the network system of the present invention uses an optimization function to reduce the possibility of packet loss and increase throughput. The client access device 10 may access multiple links simultaneously (e.g., MPLS and ISP hybrid links) to maximize capacity and enhance availability through a highly available dual active mode.
The client access device 10 classifies and dynamically processes traffic based on application type and real-time link quality (including packet loss, latency, and usage). At the packet level, the client access device 10 can handle various errors including link degradation, link outage, and link failure. To mitigate packet loss, the network system of the present invention uses intelligent front-end error correction (FEC) and packet backup. Throttling prevents applications from taking up too much bandwidth. To achieve a high degree of availability, the client access device 10 automatically monitors the nearest available service access gateway 30, and if a certain service access gateway 30 is not available, the client access device can automatically connect to the nearest service access gateway 30.
The service access gateway 30 may be used as a TCP proxy to greatly improve the end-to-end TCP throughput. The proxy server can "induce" the TCP clients to feel closer to the destination server than the actual distance to allow them to open a larger TCP window, and the clients and server can transmit more data at once. This increases the overall throughput and reduces the time required to fix the error. It is worth mentioning that each service access gateway 30 acts as a TCP proxy to reduce latency. The proxy server can "induce" 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.
Further, in the network system of the present invention, TCP optimization can naturally extend to any destination including a cloud. By the network system, the ability of judging and selecting the exit point is utilized to optimize the access to the cloud application program. The global optimal routing algorithm optimizes a path of a user accessing the cloud application. The service access gateway 30 is selected based on the lowest delay and the least packet loss, and once connected, the fixed client access device or the mobile client access device may continuously search for the best path and immediately update the available service access gateway 30. Within a predetermined time period, the client access device 10 will move to the best of the service access gateways 30 if there is a better choice.
In the preferred embodiment of the present invention, the service access gateway 30 calculates, according to the bandwidth, delay, and packet loss conditions of the line, in combination with the local line conditions of the fixed client access device or the mobile client access device, a weight value for the fixed client access device or the mobile client access device through an algorithm, and sends a control flow of the cloud central controller 20 to each fixed client access device or the mobile client access device that is connected to the service access gateway 30, and after receiving the information of the control flow, the fixed client access device or the mobile client access device selects the optimal service access gateway 30 for connection.
The fixed client access device or the mobile client access device can detect the optimal service access gateway 30 in real time through the control flow of the cloud central controller 20 platform, and meanwhile, when a user is connected to one service access gateway 30, the system background still executes detection work, so that the optimal service access gateway 30 access point is still selected after the user is disconnected and reconnected.
The multi-network segment optimization of the network system combines two segments of an edge and a backbone network, and optimizes end-to-end routing and throughput including cloud and network.
As shown in fig. 3, the dynamic intelligent selection method for the service access gateway according to the present invention includes the following steps:
(a) converging accessible service access gateways 30 based on the location of the client access equipment 10, and forming a service gateway pool; and
(b) the best serving access gateway 30 for the corresponding region in the pool of serving gateways is selected based on the lowest delay and the lowest packet loss.
Further, in the dynamic intelligent selection method of the service access gateway of the present invention, each of the service access gateways 30 acts as a TCP proxy server to reduce the delay. The proxy server induces the TCP client to feel closer to the destination than the actual distance to allow the TCP client to set a larger TCP window. The client access device 10 accesses through the service access gateway 30 to send or accept more data and better utilize bandwidth; this increases the overall throughput and reduces the time required to fix the error.
The dynamic intelligent selection method for the service access gateway further comprises the step (c) when the client access device 10 is connected, the client access device 10 continuously searches for the best path and updates the available service access gateway 30 in time. Within a predetermined time period, wherein the client access device 10 moves to the best serving access gateway 30, if any.
In step (b) of the dynamic intelligent selection method for the service access gateway of the present invention, the method further comprises:
(b.1) according to the bandwidth, delay and packet loss conditions of the line, combining the local line condition of the client access equipment 10, and calculating the weight value of the client access equipment 10; and
(b.2) issuing each of the client access devices 10 to be connected to the service access gateway 30 by control flow, the client access device 10 selecting the optimal service access gateway 30 to connect to when it is subject to the control flow information.
It should be noted that, when the client access device 10 passes through the control flow of the cloud central controller 20, the optimal service access gateway 30 is detected in real time, and when a user connects to a certain service access gateway 30, the system background still performs detection work, so as to ensure that the optimal service access gateway 30 access point is still selected after the user disconnects and reconnects.
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.
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.
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 dynamic intelligent selection method for a service access gateway is characterized by comprising the following steps:
(a) converging accessible service access gateways based on the location of the client access equipment, and forming a service gateway pool; and
(b) and selecting the best service access gateway in the corresponding region in the service gateway pool based on the lowest delay and the least packet loss.
2. The service access gateway dynamic intelligent selection method as claimed in claim 1, wherein each of the service access gateways acts as a TCP proxy server to reduce latency.
3. The service access gateway dynamic opt-in method of claim 2, wherein the proxy server induces the TCP client to feel closer to the destination than the actual distance to allow the TCP client to set a larger TCP window.
4. The service access gateway dynamic intelligent selection method as claimed in claim 3, wherein the client access device accesses through the service access gateway to send or accept more data and better utilize bandwidth.
5. The dynamic intelligent selection method for service access gateway as claimed in claim 4, wherein the dynamic intelligent selection method for service access gateway further comprises the step (c) when the client access device is connected, the client access device continuously searches the best path and updates the available service access gateway in time.
6. The dynamic intelligent selection method for service access gateway as claimed in claim 4, wherein the step (b) of the dynamic intelligent selection method for service access gateway of the present invention further comprises:
(b.1) according to the bandwidth, delay and packet loss conditions of the line, combining the local line condition of the client access equipment, and calculating the weight value of the client access equipment; and
(b.2) issuing each of the client access devices to be connected to the service access gateway through a control flow, and selecting the optimal service access gateway for connection when the client access devices are subjected to the control flow information.
7. The dynamic intelligent selection method for service access gateways as claimed in claim 6, wherein when the client access device passes through the control flow of the cloud central controller, the optimal service access gateway is detected in real time, and when a user connects to a certain service access gateway, the system background still performs detection work to ensure that the optimal service access gateway access point is still selected after the user disconnects and reconnects.
8. A network system based on cloud network convergence is characterized by comprising:
a user terminal access device;
a cloud central controller; and
and providing a service access gateway for accessing and converging flow and guiding the flow into a backbone network, wherein the user side access equipment realizes network connection with the cloud central controller through the service access gateway, the service access gateway which can be accessed is converged based on the location of the client side access equipment, a service gateway pool is formed, and the optimal service access gateway in the corresponding area in the service gateway pool is selected based on the lowest delay and the lowest packet loss.
9. The cloud convergence-based network system of claim 8 wherein each of the service access gateways acts as a TCP proxy to reduce latency, the proxy inducing TCP clients to feel closer to a destination than an actual distance to allow the TCP clients to set a larger TCP window.
10. The network system based on cloud network convergence according to claim 9, wherein a weight value for a client access device is calculated according to a bandwidth, a delay, and a packet loss condition of a line in combination with a local line condition of the client access device, each client access device to be connected to the service access gateway is issued through a control flow, and when the client access device receives the control flow information, an optimal service access gateway is selected for connection.
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| CN202110841182.5A CN113676399A (en) | 2021-07-23 | 2021-07-23 | Dynamic intelligent selection method for service access gateway and network system based on cloud network fusion |
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| CN114363078A (en) * | 2022-01-10 | 2022-04-15 | 中宇联云计算服务(上海)有限公司 | Network system based on cloud network fusion technology and network optimization method |
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