CN112333095A - Software-defined Wide Area Network (WAN) route calculation method and system based on kubernets expansion characteristic - Google Patents
Software-defined Wide Area Network (WAN) route calculation method and system based on kubernets expansion characteristic Download PDFInfo
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Abstract
A software-defined wide area network routing calculation method and system based on kubernets expansion characteristics belong to the technical field of software-defined wide area networks. The method comprises the following steps: step S01, when the routing computation dispatch service module monitors that the client side device routing network segment or the client side device networking mode changes, the routing computation dispatch service module initiates a task to the routing computation module and stretches the scale of the routing computation module according to the computation load; step S02, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module, then carries out route calculation according to the client side device networking mode, and the route calculation result is returned to the route calculation scheduling service module; in step S03, the route calculation scheduling service module performs difference calculation between the current route calculation result and the previous route calculation result, and distributes the difference result to each client device. The invention can improve the routing computing power and the connectivity among enterprise branches.
Description
Technical Field
The invention relates to the technical field of SD-WAN, in particular to a software-defined wide area network route calculation method and system based on kubernets expansion characteristics.
Background
With the construction popularization of common broadband and the increasing perfection of backbone network construction, organizations and enterprises can conveniently carry out branch interconnection through a software defined wide area network (SD-WAN). The software-defined wide area network provides more application scenarios, such as modern network service scenarios like SaaS applications, cloudy and mixed clouds, while reducing the enterprise networking cost. The software-defined wide area network is a popular network communication technology recommended by enterprises, service providers and operators.
The branched interworking networking is a basic appeal for an enterprise to define a wide area network by using software, so that routing calculation is very important in networking. Routing computation is not transparent to the enterprise, so the correctness and timeliness of routing computation directly determine the connectivity and experience between enterprise branches.
In the original enterprise networking scheme, due to the reasons of high cost, operator limitation and the like, the number of routing entries and branches is often small, and routing configuration may be manually operated or configured by using a BGP protocol and the like. The problems of troublesome configuration, non-centralized control, independent configuration, overhigh maintenance cost and the like exist.
The invention patent application CN202010092969.1 discloses a Kubernetes-based method for adaptively stretching and retracting a web container, and particularly discloses a method comprising the following steps: the method comprises the following steps: s1: analyzing the web request arrival rate by adopting an arima prediction model through the request characteristics of the web container, and constructing the request prediction model of the web container to obtain a web request distribution rule; s2: acquiring the arrival rate and the execution time of the web container request according to S1, and generating a web container self-adaptive dynamic expansion strategy by using an M/M/M queuing network; s3: and the Kubernetes scheduler configures capacity expansion or capacity reduction in advance according to the dynamic expansion and contraction requirements of the web container. The invention realizes the capacity expansion or the capacity reduction of the web container by utilizing Kubernetes, but is not applied to route calculation, particularly between branch intercommunication networks.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method and a system for calculating the route of the software-defined wide area network based on the kubernets expansion characteristic, which can dynamically change the route calculation capability, improve the resource utilization rate and ensure high concurrency and rapid calculation of the route calculation, thereby improving the connectivity of the software-defined wide area network and the capability of coping with network changes.
The invention is realized by the following technical scheme:
the routing calculation method based on the kubernetes expansion characteristic comprises the following steps:
step S01, when the routing computation dispatch service module in the SD-WAN controller monitors that the routing network segment of the client side device or the networking mode of the client side device changes, the routing computation dispatch service module initiates a task to the routing computation module in the SD-WAN controller, and scales the routing computation module according to the computation load;
step S02, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module in the SD-WAN controller, then performs route calculation according to the client side device networking mode, and the route calculation result is stored in the cloud database and returned to the route calculation scheduling service module;
in step S03, the routing computation scheduling service module performs difference computation on the currently received routing computation result and the previous routing computation result stored in the cloud database, and distributes the difference result to each client device.
kubernets is an open source for managing containerized applications on multiple hosts in a cloud platform. Because the software-defined wide area network has a plurality of connected devices and complicated changes, and the route change may happen all the time, the invention can realize the calculation and distribution of the whole network route by the software-defined wide area network control layer. In the routing calculation, the routing calculation task is completed at low cost and high concurrency by sensing the scale of the routing calculation task and dynamically expanding or reducing the number of routing calculation modules based on kubernets, so that the connectivity of a software-defined wide area network and the capability of coping with network changes are improved.
Preferably, the step S01 further includes: when the routing calculation scheduling service module monitors that the local area network and the static route of the equipment are changed, or the client side equipment is on line or off line, or when the networking relation of the equipment change occurs in the networking topology of the client side equipment, the routing calculation scheduling service module re-initiates a task to the routing calculation module.
Preferably, the task initiated by the routing computation scheduling service module includes a client networking relationship and information of each device in the networking relationship.
Preferably, the routing computation scheduling service module monitors whether the routing network segment of the client side equipment or the networking mode of the client side equipment changes or not by monitoring data which is stored on the cloud database and represents the routing network segment of the client side equipment.
Preferably, the scaling the route calculation module according to the calculation load specifically includes: the route calculation module is configured with an example capable of performing parallel calculation of the route calculation task, and the example returns a route calculation result and an example load to the route calculation scheduling service module after completing the calculation task; when the return load exceeds the maximum load M, the routing computation scheduling service module requests kubernets to expand the number of instances of the routing computation module, one instance is added, and when the return load is smaller than (M-1) M, one instance is reduced; where M is the number of instances of the current computing module and M is the maximum load of a single instance.
Preferably, the calculation of the example load is performed by the following formula: l = c1^2+ c2^2+. + cn ^ 2;
where n is the number of parallel computing tasks, the number of devices per task is (c 1, c2... cn), and L is the instance load.
Preferably, step S02 specifically includes:
step S21, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module in the SD-WAN controller to obtain the neighbor relation of each device, the devices in the neighbor relation need to communicate with each other, and the devices in the non-neighbor relation do not need to communicate with each other;
and step S22, performing route calculation according to the obtained neighbor relation of each device, and storing the route calculation result in the cloud database and returning the route calculation result to the route calculation scheduling service module.
Preferably, step S03 specifically includes: the routing calculation scheduling service module carries out differential calculation on a currently received routing calculation result and a previous routing calculation result stored in the cloud database, when the currently received routing calculation result and the previous routing calculation result stored in the cloud database are greater than zero, a new route needs to be added, and a new route set in the differential result is distributed to each client side device; when the currently received route calculation result and the previous route calculation result stored in the cloud database are less than zero, the route needs to be deleted, and the deleted route set in the difference result is distributed to each client side device.
The software-defined wide area network routing computing system based on the kubernets expansion characteristic comprises an SD-WAN controller, a plurality of client side devices and a cloud database; wherein the SD-WAN controller comprises:
the routing calculation scheduling service module is used for initiating a task to the routing calculation module when monitoring that a routing network segment of the client side equipment or a networking mode of the client side equipment is changed, and stretching the scale of the routing calculation module according to the calculation load; the cloud side data base is used for storing the route calculation results of the client side equipment, and the route calculation results of the client side equipment are stored in the cloud side data base;
the routing calculation module is used for requesting the client side equipment routing network segment from the client side equipment network segment cache service module, then carrying out routing calculation according to the client side equipment networking mode, and storing a routing calculation result in a cloud database and returning the routing calculation result to the routing calculation scheduling service module;
and the client side equipment network segment cache service module is used for caching the client side equipment routing network segment.
Preferably, the route calculation scheduling service module includes:
the monitoring unit is used for monitoring whether a routing network segment of the client side equipment or a networking mode of the client side equipment changes;
the task unit is used for initiating a task to the routing calculation module when monitoring that the routing network segment of the client side equipment or the networking mode of the client side equipment is changed;
the scaling unit is used for scaling the scale of the route calculation module according to the calculation load;
the scheduling unit is used for carrying out differential calculation on the currently received route calculation result and the previous route calculation result stored in the cloud database, when the currently received route calculation result and the previous route calculation result stored in the cloud database are greater than zero, a new route needs to be added, and a new route set in the differential result is distributed to each client side device; when the currently received route calculation result and the previous route calculation result stored in the cloud database are less than zero, the route needs to be deleted, and the deleted route set in the difference result is distributed to each client side device.
The invention has the following beneficial effects:
the method and the system can timely perform route calculation by monitoring the route change of client side equipment, further can dynamically stretch the scale of a route calculation module when a plurality of enterprise equipment route network segments change based on the telescopic characteristic of kubernets, ensure the concurrent execution of route calculation tasks, finally distribute route information to the client side equipment through a control layer, improve the route calculation capability, and finally ensure the connectivity between enterprise branches and the timely update of the route network segments.
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Fig. 1 is a flowchart of a software-defined wan routing computation method based on kubernets scaling property according to the present invention.
Detailed Description
The following are specific embodiments of the present invention and are further described with reference to the drawings, but the present invention is not limited to these embodiments.
As shown in fig. 1, a method for calculating a route based on kubernets scaling characteristics includes:
step S01, when the routing computation dispatch service module in the SD-WAN controller monitors that the routing network segment of the client side device or the networking mode of the client side device changes, the routing computation dispatch service module initiates a task to the routing computation module in the SD-WAN controller, and scales the routing computation module according to the computation load;
step S02, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module in the SD-WAN controller, then performs route calculation according to the client side device networking mode, and the route calculation result is stored in the cloud database and returned to the route calculation scheduling service module;
in step S03, the routing computation scheduling service module performs difference computation on the currently received routing computation result and the previous routing computation result stored in the cloud database, and distributes the difference result to each client device.
Before step S01, the routing computation scheduling service module of the SD-WAN controller monitors data stored in the cloud database on behalf of the client device routing segment, the online/offline status of the client device, and the client device networking topology. When monitoring data of the client side device routing network segment, whether the client side device routing network segment or the client side device networking mode changes can be judged. The client side equipment routing network segment is composed of equipment Local Area Network (LAN) and static routing, and is distributed to the equipment by the client in the system background configuration and kept synchronous. The client side device networking mode is divided into full-mesh (full connection), hub-spoke (star connection) and custom networking mode.
Step S01 further includes that when the routing computation scheduling service module monitors that the device lan and the static route are changed, or when the client device goes online and offline, or when the device changes the networking relationship in the networking topology of the client device, the routing computation scheduling service module re-initiates a task to the routing computation module.
In step S01, the task initiated by the route calculation scheduling service module includes the client networking relationship and information of each device in the networking relationship.
The scaling of the route calculation module according to the calculation load specifically includes: the route calculation module is configured with an example capable of performing parallel calculation of the route calculation task, and the example returns a route calculation result and an example load to the route calculation scheduling service module after completing the calculation task; when the return load exceeds the maximum load M, the routing computation scheduling service module requests kubernets to expand the number of instances of the routing computation module and increase one instance, and when the return load is smaller than (M-1) M, the routing computation scheduling service module requests kubernets to reduce the number of instances of the routing computation module and decrease one instance; when the return load is in the range of (M-1) × M and M × M, which is the case when just covering the load but not so much as to need to decrease or increase the load, then there is no need to increase or decrease the instances for M instances. Where M is the number of instances of the current computing module and M is the maximum load of a single instance. Wherein the calculation of the instance load is implemented by the following formula: l = c1^2+ c2^2+. + cn ^ 2; where n is the number of current parallel computing tasks of a single instance, the number of devices of a single task is (c 1, c2... cn), and L is the instance load. Only 1 instance is expanded/contracted each time the instance is expanded/contracted. Calculation of the maximum load M: let N be the maximum number of parallel computing tasks for a single instance. The maximum load of a single instance M = L × N/N.
Step S02 specifically includes:
step S21, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module in the SD-WAN controller to obtain the neighbor relation of each device, the devices in the neighbor relation need to communicate with each other, and the devices in the non-neighbor relation do not need to communicate with each other;
and step S22, performing route calculation according to the obtained neighbor relation of each device, and storing the route calculation result in the cloud database and returning the route calculation result to the route calculation scheduling service module.
In step S21, the client device segment cache service module caches the client device segment, and the resync feature of the etcd database keeps the latest version, so as to avoid the request pressure caused by directly requesting the etcd database. After receiving the task, the routing computation module requests a client side equipment network segment for client side equipment network segment caching service, and then obtains the neighbor relation of each equipment according to a client side equipment networking mode, wherein the equipment in the neighbor relation needs to communicate with each other, the equipment in the non-neighbor relation does not need to communicate with each other, and the equipment in communication with each other needs to know the network segment of the other side.
Step S22 calculates the neighbor relations of each device by using the existing route calculation method. Due to the fact that the scale of the route calculation module, namely the number of the instances is dynamically expanded or reduced according to the load, the route calculation task can be completed at high concurrence.
Step S03 specifically includes: the routing calculation scheduling service module carries out differential calculation on a currently received routing calculation result and a previous routing calculation result stored in the cloud database, when the currently received routing calculation result and the previous routing calculation result stored in the cloud database are greater than zero, a new route needs to be added, and a new route set in the differential result is distributed to each client side device; when the currently received route calculation result and the previous route calculation result stored in the cloud database are less than zero, the route needs to be deleted, and the deleted route set in the difference result is distributed to each client side device.
Specifically, after receiving the result returned by the route calculation module, the route calculation scheduling service module performs differential calculation on the current route calculation result and the route result stored in the cloud database last time in order to reduce the data volume required to be communicated. The route calculation result of this time is set as N, N represents the newly calculated route set, the route set of the last calculation result is O, the newly added route set is N-O, the route set needing to be deleted is O-N, the route change is less under most conditions, only the difference needs to be issued, the issue of the unchanged route represented by the intersection O N of the sets O and N is avoided, and the data volume of communication is reduced. And after calculating the newly added route and the route needing to be deleted by the equipment, distributing the routes to the equipment at each client side.
The invention also provides a software-defined wide area network routing computing system based on the kubernets expansion characteristic, which comprises an SD-WAN controller, a plurality of client side devices and a cloud database. The system realizes the route calculation of dynamic adjustment of calculation scale based on the method. The SD-WAN controller comprises a route calculation scheduling service module, a route calculation module and a client side equipment network segment cache service module. The routing calculation scheduling service module is used for initiating a task to the routing calculation module when monitoring that a routing network segment of the client side equipment or a networking mode of the client side equipment is changed, and stretching the scale of the routing calculation module according to the calculation load; and the system is also used for carrying out difference calculation on the currently received route calculation result and the previous route calculation result stored in the cloud database, and distributing the difference result to each client side device. And the routing calculation module is used for requesting the client side equipment routing network segment to the client side equipment network segment cache service module, then carrying out routing calculation according to the client side equipment networking mode, and storing a routing calculation result in the cloud database and returning the routing calculation result to the routing calculation scheduling service module. And the client side equipment network segment cache service module is used for caching the client side equipment routing network segment.
The routing calculation scheduling service module comprises a monitoring unit, a task unit, a telescopic unit and a scheduling unit. And the monitoring unit is used for monitoring whether a routing network segment of the client side equipment or a networking mode of the client side equipment changes. Specifically, the monitoring unit monitors data stored in a cloud database and representing a routing network segment of the client side device, an online and offline state of the client side device, and a networking topology of the client side device. The monitoring unit judges whether the routing network segment of the client side equipment or the networking mode of the client side equipment is changed or not by monitoring data of the routing network segment of the client side equipment. And the task unit is used for initiating a task to the routing calculation module when monitoring that the routing network segment of the client side equipment or the networking mode of the client side equipment is changed. And the tasks are balanced to the routing computation module through load. The task comprises a client networking relation and information of each device in the networking relation. The scaling unit is used for scaling the scale of the route calculation module according to the calculation load. Specifically, the route calculation module is configured with an instance capable of performing parallel calculation of the route calculation task, and the instance returns a route calculation result and an instance load to the route calculation scheduling service module after completing the calculation task; and when the return load is less than (n-1) × M, the routing computation scheduling service module requests the kubernets to reduce the number of the instances of the routing computation module by one instance. The scheduling unit is used for carrying out differential calculation on a currently received route calculation result and a previous route calculation result stored in the cloud database, when the currently received route calculation result and the previous route calculation result stored in the cloud database are greater than zero, a new route is required to be added, and a new route set in the differential result is distributed to each client side device; when the currently received route calculation result and the previous route calculation result stored in the cloud database are less than zero, the route needs to be deleted, and the deleted route set in the difference result is distributed to each client side device.
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 present 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 software-defined wide area network routing calculation method based on kubernets expansion characteristics is characterized by comprising the following steps:
step S01, when the routing computation dispatch service module in the SD-WAN controller monitors that the routing network segment of the client side device or the networking mode of the client side device changes, the routing computation dispatch service module initiates a task to the routing computation module in the SD-WAN controller, and scales the routing computation module according to the computation load;
step S02, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module in the SD-WAN controller, then performs route calculation according to the client side device networking mode, and the route calculation result is stored in the cloud database and returned to the route calculation scheduling service module;
in step S03, the routing computation scheduling service module performs difference computation on the currently received routing computation result and the previous routing computation result stored in the cloud database, and distributes the difference result to each client device.
2. The kubernets stretch feature-based software-defined wide area network (WW AN) route calculation method of claim 1, wherein the step S01 further includes: when the routing calculation scheduling service module monitors that the local area network and the static route of the equipment are changed, or the client side equipment is on line or off line, or when the networking relation of the equipment change occurs in the networking topology of the client side equipment, the routing calculation scheduling service module re-initiates a task to the routing calculation module.
3. The kubernets stretch feature-based software-defined wide area network routing computation method of claim 2, wherein the tasks initiated by the routing computation scheduling service module include customer networking relationships and information of respective devices in the networking relationships.
4. The kubernets expansion characteristic-based software-defined wide area network routing computation method of claim 1, wherein the routing computation scheduling service module monitors whether a client-side device routing network segment or a client-side device networking mode changes by monitoring data stored on a cloud database and representing the client-side device routing network segment.
5. The kubernets scaling feature-based software-defined wide area network (WW AN) route calculation method of claim 1, wherein scaling the route calculation modules according to calculation load specifically comprises: the route calculation module is configured with an example capable of performing parallel calculation of the route calculation task, and the example returns a route calculation result and an example load to the route calculation scheduling service module after completing the calculation task; when the return load exceeds the maximum load M, the routing computation scheduling service module requests kubernets to expand the number of instances of the routing computation module, one instance is added, and when the return load is smaller than (M-1) M, one instance is reduced; where M is the number of instances of the current computing module and M is the maximum load of a single instance.
6. The kubernets stretch feature-based software-defined wide area network routing computation method of claim 5, wherein the computation of the instance load is implemented by the following formula: l = c1^2+ c2^2+. + cn ^ 2;
where n is the number of parallel computing tasks, the number of devices per task is (c 1, c2... cn), and L is the instance load.
7. The kubernets stretch feature-based software-defined wide area network (WW AN) routing computation method of claim 1, wherein step S02 specifically includes:
step S21, after receiving the task, the route calculation module requests the client side device route network segment to the client side device network segment cache service module in the SD-WAN controller to obtain the neighbor relation of each device, the devices in the neighbor relation need to communicate with each other, and the devices in the non-neighbor relation do not need to communicate with each other;
and step S22, performing route calculation according to the obtained neighbor relation of each device, and storing the route calculation result in the cloud database and returning the route calculation result to the route calculation scheduling service module.
8. The kubernets stretch feature-based software-defined wide area network (WW AN) routing computation method of claim 1, wherein step S03 specifically includes: the routing calculation scheduling service module carries out differential calculation on a currently received routing calculation result and a previous routing calculation result stored in the cloud database, when the currently received routing calculation result and the previous routing calculation result stored in the cloud database are greater than zero, a new route needs to be added, and a new route set in the differential result is distributed to each client side device; when the currently received route calculation result and the previous route calculation result stored in the cloud database are less than zero, the route needs to be deleted, and the deleted route set in the difference result is distributed to each client side device.
9. The software-defined wide area network routing computing system based on the kubernets expansion characteristic comprises an SD-WAN controller, a plurality of client side devices and a cloud database; wherein the SD-WAN controller comprises:
the routing calculation scheduling service module is used for initiating a task to the routing calculation module when monitoring that a routing network segment of the client side equipment or a networking mode of the client side equipment is changed, and stretching the scale of the routing calculation module according to the calculation load; the cloud side data base is used for storing the route calculation results of the client side equipment, and the route calculation results of the client side equipment are stored in the cloud side data base;
the routing calculation module is used for requesting the client side equipment routing network segment from the client side equipment network segment cache service module, then carrying out routing calculation according to the client side equipment networking mode, and storing a routing calculation result in a cloud database and returning the routing calculation result to the routing calculation scheduling service module;
and the client side equipment network segment cache service module is used for caching the client side equipment routing network segment.
10. The kubernets stretch feature-based software-defined wide area network routing computing system of claim 9, wherein the routing computation scheduling service module includes:
the monitoring unit is used for monitoring whether a routing network segment of the client side equipment or a networking mode of the client side equipment changes;
the task unit is used for initiating a task to the routing calculation module when monitoring that the routing network segment of the client side equipment or the networking mode of the client side equipment is changed;
the scaling unit is used for scaling the scale of the route calculation module according to the calculation load;
the scheduling unit is used for carrying out differential calculation on the currently received route calculation result and the previous route calculation result stored in the cloud database, when the currently received route calculation result and the previous route calculation result stored in the cloud database are greater than zero, a new route needs to be added, and a new route set in the differential result is distributed to each client side device; when the currently received route calculation result and the previous route calculation result stored in the cloud database are less than zero, the route needs to be deleted, and the deleted route set in the difference result is distributed to each client side device.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112600942A (en) * | 2021-02-18 | 2021-04-02 | 杭州网银互联科技股份有限公司 | Method and system for improving route calculation efficiency in sd-wan |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104380674A (en) * | 2012-06-15 | 2015-02-25 | 思科技术公司 | Distributed stateful path computation element overlay architecture |
| CN104811378A (en) * | 2015-03-26 | 2015-07-29 | 重庆金美通信有限责任公司 | Route isolation and synchronization method |
| CN108449265A (en) * | 2018-02-05 | 2018-08-24 | 西安交通大学 | Path calculation method and device in a kind of SD-WAN environment |
| CN110855509A (en) * | 2019-12-23 | 2020-02-28 | 广东省新一代通信与网络创新研究院 | Novel cloud SPTN network architecture |
| CN110912827A (en) * | 2019-11-22 | 2020-03-24 | 北京金山云网络技术有限公司 | Route updating method and user cluster |
| CN111385142A (en) * | 2020-02-14 | 2020-07-07 | 重庆邮电大学 | Kubernetes-based adaptive web container stretching method |
| US20200250009A1 (en) * | 2019-02-01 | 2020-08-06 | Virtustream Ip Holding Company Llc | Partner enablement services for managed service automation |
| CN112104559A (en) * | 2020-11-05 | 2020-12-18 | 杭州网银互联科技股份有限公司 | SD-WAN network routing jitter mitigation method and SD-WAN network controller |
-
2021
- 2021-01-06 CN CN202110010064.XA patent/CN112333095B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104380674A (en) * | 2012-06-15 | 2015-02-25 | 思科技术公司 | Distributed stateful path computation element overlay architecture |
| CN104811378A (en) * | 2015-03-26 | 2015-07-29 | 重庆金美通信有限责任公司 | Route isolation and synchronization method |
| CN108449265A (en) * | 2018-02-05 | 2018-08-24 | 西安交通大学 | Path calculation method and device in a kind of SD-WAN environment |
| US20200250009A1 (en) * | 2019-02-01 | 2020-08-06 | Virtustream Ip Holding Company Llc | Partner enablement services for managed service automation |
| CN110912827A (en) * | 2019-11-22 | 2020-03-24 | 北京金山云网络技术有限公司 | Route updating method and user cluster |
| CN110855509A (en) * | 2019-12-23 | 2020-02-28 | 广东省新一代通信与网络创新研究院 | Novel cloud SPTN network architecture |
| CN111385142A (en) * | 2020-02-14 | 2020-07-07 | 重庆邮电大学 | Kubernetes-based adaptive web container stretching method |
| CN112104559A (en) * | 2020-11-05 | 2020-12-18 | 杭州网银互联科技股份有限公司 | SD-WAN network routing jitter mitigation method and SD-WAN network controller |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112600942A (en) * | 2021-02-18 | 2021-04-02 | 杭州网银互联科技股份有限公司 | Method and system for improving route calculation efficiency in sd-wan |
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