CN115801782B - Cross-regional data center cloud resource scheduling system and method - Google Patents
Cross-regional data center cloud resource scheduling system and method Download PDFInfo
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Abstract
The present disclosure relates to a cross-regional data center cloud resource scheduling system and method, the system includes a plurality of data centers, each data center includes a computing node and a management node; wherein the compute node comprises a virtual switch; wherein the management node comprises an SDN controller; the logic router sends the route information of other regional data centers to the SDN controller through the route announcement so as to convert the route information of the other regional data centers into an OpenFlow flow table through the SDN controller and send the OpenFlow flow table to the virtual switch of the regional; and the transmission logic switch is respectively connected with the SDN controller and the logic router, forwards the information of the SDN network of the local area data center outwards through the logic router, and forwards the information transmitted by other data centers to the SDN network of the local area data center. Stable communication between the cloud cross-regional isolation networks of the overlay layer and smooth migration of network security policies between the cloud cross-regional data centers can be achieved.
Description
Technical Field
The disclosure belongs to the technical field of communication, and particularly relates to a cross-regional data center cloud resource scheduling system and method.
Background
Cloud computing, as a new computing mode, has rapidly developed into an emerging research and application field, has gained more and more attention and wide application, and under the wave tide of digital transformation, various traditional service systems are migrating to the cloud. The high concealment, mobility, confidentiality and security of the application determine that the cloud data center needs to adopt a multi-cloud-based and cross-regional distributed deployment scheme.
However, the traditional cloud data center resource migration schemes are all built on the basis of the construction of a traditional network, the scheduling of resources is realized through a service network, and in the actual application development process, service systems under different data centers have different requirements on the resources in terms of network bandwidth, data scale, CPU efficiency, IO reading and the like, so that the problem that the cross-regional multi-data center has the matching of the service resource requirements and the data center resource capacity is required; and secondly, part of data center resources have high frequent service pressure, and part of data center resources are idle, so that the problem of unbalanced resource load is caused.
Disclosure of Invention
The disclosure is made based on the above-mentioned needs of the prior art, and the technical problem to be solved by the disclosure is to provide a cloud resource scheduling system of a cross-regional data center, so as to improve the utilization rate and the flexibility of use of multi-cloud and cross-regional resources.
In order to solve the above problems, the technical solution provided by the present disclosure includes:
a cross-regional data center cloud resource scheduling system comprises a plurality of data centers, wherein each data center comprises a computing node and a management node; the computing node comprises a virtual switch and is responsible for forwarding the flow of other virtual switches of the local area data center according to an OpenFlow flow table issued by the local area data center management node; the management node comprises an SDN controller, and is connected with the virtual switch network of the local area data center to form an SDN network of the local area data center; the SDN controller issues an OpenFlow flow table to the virtual switch of the local area data center to guide the virtual switch to forward the flow; the logic router sends the route information of the other area data centers to the SDN controller through the route announcement so as to convert the route information of the other area data centers into an OpenFlow flow table through the SDN controller and send the OpenFlow flow table to the virtual switch of the area; and the transmission logic switch is respectively connected with the SDN controller and the logic router, forwards the information of the SDN network of the local area data center outwards through the logic router, and forwards the information transmitted by other data centers to the SDN network of the local area data center.
According to the system, stable communication between the cloud cross-regional isolation networks of the overlay layer and smooth migration of network security policies between the cloud cross-regional data centers can be achieved through the virtual switch, the SDN controller, the logic router established on the SDN controller and the logic switch established according to the virtual switch and the SDN controller.
Preferably, the management node further includes an interconnection module, where the interconnection module is in the local area data center and the logic switch, and is connected with the interconnection modules of other area data centers; so as to realize the interactive communication connection between the regional data center virtual switch and other regional data center virtual switches. The interconnection module is responsible for physical network intercommunication among inter-regional clouds of the uderray layer and provides communication support of the physical layer for virtual traffic intercommunication.
Preferably, the management node further comprises a distribution scheduling manager, and the distribution scheduling manager sends the resource scheduling instruction of the local area to the computing node of the local area data center according to the resource information from the local area data center and the scheduling strategy of the local area data center; the distribution schedule manager is also connected with the management nodes of other areas, and transmits and receives cross-area schedule instructions to the distribution schedule manager of the data center management nodes of other areas. And the dispatching of the resource information and the distribution function of the resource information of the regional data center and the cross-regional data center are realized through a distribution dispatching manager.
Preferably, the computing node further comprises a resource collection agent module, which is connected with a distribution scheduling manager of the management node of the regional data center, and provides resource information of the computing node where the distribution scheduling manager is located. The resource information acquisition function is realized, and support service is provided for the management node to acquire the resource information.
Preferably, the data center includes a management node, and the management node manages the plurality of computing nodes. Thereby realizing the richness of the resource information of the data center in the area.
Preferably, the distribution scheduling manager schedules computing resources of the local regional data center and other regional data centers according to a local scheduling policy and a cross-regional scheduling policy. Thereby realizing a flexible resource scheduling strategy.
Preferably, the local scheduling policy is determined according to an influence factor of the resource information utilization rate of the local area data center computing node and a weight proportion of the influence factor, and the influence factor at least comprises a CPU utilization rate and a memory utilization rate. The problem that the service resource requirements of the data center of the local area are matched with the resource capacities of all computing nodes of the data center of the local area is determined, and a scheduling basis is provided for realizing resource load balancing of the data center of the local area.
Preferably, the cross-regional scheduling policy is determined at least according to the resource information utilization rate of each computing node in the cross-region, the network delay, the influence factor of IO read performance, the weight proportion of the influence factor, and the local scheduling policy. In the multi-region data center with different network bandwidths, data scales and IO reading performances, the problem that the service resource requirements of the data center in the region are matched with the resource capacities of computing nodes of other regional centers is determined, and a scheduling basis is provided for realizing resource load balancing of the cross-region data center.
In addition, the disclosure further provides a cross-regional data center cloud resource scheduling method, which comprises the following steps: acquiring resource information of the computing node of the local area data center; judging whether the resource information meets the scheduling requirement or not; if yes, carrying out resource distribution and scheduling according to a local scheduling strategy; if not, acquiring the resource information of the computing nodes of the data centers in other areas; and when the resource information of the computing nodes of the other regional data centers meets the cross-regional scheduling requirement, performing a cross-regional scheduling strategy to distribute and schedule the resources.
By the method, the integration and unified management scheduling of the multi-cloud cross-regional data center resources are realized, and the global load balance of the resources is realized.
Preferably, the method further comprises: creating a logic router of the management node of the local area data center according to the SDN controller of the management node of the local area data center; creating a unique area name of the local area data center in the local area data center management node; the network parameters of an underley layer of the regional data center management node network are configured through an interconnection module so as to realize the intercommunication of devices in the regional data center and/or the communication between the regional data center and other regional data centers; generating a logic transmission switch by configuring remote port switching functions of a virtual switch and an SDN controller in a local area data center management node; connecting the logic router with the transmission logic switch;
designating a physical network traffic ingress and egress on a routing port of the logical router; and setting an automatic routing announcement on the SDN controller of the local area data center.
By the method, stable communication between the cloud cross-regional isolation networks of the overlay layer and smooth migration of network security policies between the cloud cross-regional data centers are realized.
Compared with the prior art, the method and the device can realize stable communication between the cloud cross-regional isolation networks of the overlay layer and smooth migration of network security policies between the cloud cross-regional data centers by the virtual switch, the interconnection module, the SDN controller, the logic router established on the SDN controller and the logic switch established according to the virtual switch and the SDN controller; the resource collection agent and the distribution scheduling manager realize the integration and unified management scheduling of the resources of the multi-cloud cross-regional data center, and realize the global load balance of the resources.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present description, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic general structure diagram of a cross-regional data center cloud resource scheduling system in the present embodiment;
fig. 2 is a flowchart of a cross-regional data center cloud resource scheduling method in the present embodiment;
fig. 3 is a schematic diagram of a connection structure between data centers in the cross-regional data center cloud resource scheduling system in this embodiment.
Description of the embodiments
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
For the purpose of facilitating an understanding of the embodiments of the present application, reference will now be made to the following description of specific embodiments, taken in conjunction with the accompanying drawings, which are not intended to limit the scope of the present application.
The system and the method for scheduling the cloud resources of the cross-regional data center are applied to a production environment of a large-scale cloud computing virtual network. The method aims at opening a plurality of data center networks in a large two-layer mode and enabling the virtual network to be in butt joint with a physical network in an environment of a cross-region data center virtual network. Especially, compared with the defect that the software defined network has limited processing capacity and is easy to break down after being attacked when the flow is monitored and the security policy is deployed through a centralized controller, the embodiment provides the cross-regional data center cloud resource scheduling system and the method, which can realize stable communication between the multi-cloud cross-regional isolation networks of the overlay layer and smooth migration of the network security policy between the multi-cloud cross-regional data centers.
Specifically, according to a first aspect of the present embodiment, there is provided a cross-regional data center cloud resource scheduling system, and an overall framework of the system is shown in fig. 1.
The cross-regional data center cloud resource scheduling system comprises a plurality of data centers, as shown in fig. 1, wherein for convenience of description, an area a is defined as a local regional data center, and an area B is defined as other regional data centers.
Each data center includes a compute node and a management node as shown in fig. 1.
Wherein the compute nodes provide resource information storage and forwarding between physical networks. The computing node comprises a virtual switch and is responsible for forwarding the traffic of other virtual switches of the local area data center according to an OpenFlow flow table issued by the local area data center management node.
In this embodiment, the virtual switch includes a remote port connection module and a remote port forwarding module, which may be implemented by adding the remote port connection module and the remote port forwarding module to an existing open source virtual switch. By adding the remote port connection module and the remote port forwarding module, virtual traffic communication between multiple clouds and cross regions of the virtual switch can be realized, and processing of the flow table is authorized. Preferably, the computing node further comprises a resource collection agent module, wherein the resource collection agent module is connected with a management node of the regional data center where the resource collection agent module is located, and resource information of the computing node where the resource collection agent module is located is provided for the management node of the regional data center where the resource collection agent module is located, so that the resource information of the computing node where the resource collection agent module is located is used as one of the bases for scheduling decisions.
The information collected by the resource collection agent module includes, but is not limited to, CPU, memory, storage, IO, network, etc. usage. The data is closely related to making cross-regional or local scheduling decisions, and providing such information can help the management node make quick and accurate decisions.
Preferably, in this embodiment, a data center may include a plurality of computing nodes, where each computing node includes the virtual switch and the resource collection agent module.
The virtual switch of each computing node is connected with the management node of the area, receives the OpenFlow flow table issued by the management node of the data center and forwards the flow of other virtual switches of the computing node.
Each resource collection agent module is connected with the management node of the data center, and transmits the resource information of the computing node where the resource collection agent module is located to the management node of the data center.
With this arrangement, multiple compute nodes may be provided in a data center to provide more computing resources that may be scheduled to provide more computing power.
The management node provides resource scheduling and distribution, and forwarding and intercommunication functions of the physical network and the virtual network. The structure is shown in fig. 1 and 3, and only one management node is usually provided in a regional data center, for example, in fig. 1, the regional data center a has one management node, and the regional data center B also has only one management node. The management node is used for managing the resource scheduling of the local area computing node and realizing cross-regional resource scheduling, for example, between an A-area data center and a B-area data center in fig. 1.
Specifically, in this embodiment, the management node includes an SDN controller, where the SDN controller is connected to the virtual switch network of the local area data center to form an SDN network of the local area data center. In the SDN network, the SDN controller is configured to issue an OpenFlow flow table to the virtual switch in the local area data center to instruct the virtual switch to forward traffic; as described above, the virtual switch is responsible for receiving the flow table from the SDN controller and forwarding the flow table to other virtual switches in the local data center.
A specific implementation manner of SDN control can include adding a route forwarding function on the basis of an OVN SDN controller to realize a software router based on an OpenFlow flow table, taking charge of route forwarding and route table learning among multi-data centers of a cross region, converting route information into the OpenFlow flow table and transmitting the OpenFlow flow table to a virtual switch of a corresponding computing node of the region, so as to realize intercommunication of virtual isolation networks among the cross region data centers.
The management node further comprises a logic router, the logic router sends the route information of the other regional data centers to the SDN controller in a route announcement mode, so that the route information of the other regional data centers is converted into an OpenFlow flow table through the SDN controller, and the OpenFlow flow table is sent to the virtual switch of the regional.
In this embodiment, the management node further includes a transmission logic switch, which is respectively connected to the SDN controller and the logic router, and forwards the information of the SDN network of the local area data center to the outside through the logic router, and forwards the information transmitted by other data centers to the SDN network of the local area data center.
In this embodiment, a manner of implementing the logical switch includes adding a remote port connection module and a remote port forwarding module to the OVN SDN controller and the virtual switch, so that the transport logical switch can be conveniently generated, virtual traffic communication between multiple clouds and cross regions of the virtual machine is implemented, and processing of the flow table is authorized.
Preferably, the management node further includes an interconnection module, where the interconnection module is connected to the logic switch in the local area data center and is further connected to interconnection modules of other area data centers; so as to realize the interactive communication connection between the regional data center virtual switch and other regional data center virtual switches.
Further, the interconnection module and the north database of the SDN controller can communicate through 6645/TCP, and the south database of the SDN controller can communicate through 6646/TCP. The method and the device provide physical network intercommunication among inter-regional clouds of the uderray layer and provide communication support of the physical layer for virtual traffic intercommunication.
In this embodiment, the management node further includes a distribution schedule manager. The distribution scheduling manager is connected with the resource information acquisition module in the management node to acquire the resource information of each computing node in the regional data center, and is also connected with the scheduling policy manager to receive the scheduling policy from the scheduling policy manager. In the local data center, the distribution scheduling manager is also connected with each computing node to schedule the resources of each computing node. In addition, the resource scheduling manager is connected with the resource area scheduling manager of other area data centers to send and receive cross-area scheduling instructions between the distribution scheduling managers of the data center management nodes of other areas. And the dispatching of the resource information and the distribution function of the resource information of the regional data center and the cross-regional data center are realized through a distribution dispatching manager. By the structure, the resource scheduling of the local area and the cross-area resource scheduling are realized.
Further preferably, when the resource scheduling is performed, the distribution scheduling manager firstly uses the resource information collected by the resource information collection module as a precondition of the distribution scheduling, and can develop subsequent scheduling policy execution when meeting the resource requirement. And then taking the scheduling strategy provided by the scheduling strategy manager as a guide to distribute and schedule the resources. The resources managed by the local data center cannot meet the resource requirements, firstly, the external service interfaces in the management nodes are used for acquiring the resource information of other regional data centers in a cross-region mode, thereby providing a precondition for cross-region data center dispatching, and then the cross-region dispatching strategy which is provided by the dispatching strategy manager and is combined with a network delay factor and an IO reading performance influence factor is used as a guide to carry out cross-region resource distribution and dispatching. With the above structure, the computing resources of the local area data center and other area data centers can be scheduled according to the local scheduling policy and the cross-area scheduling policy through the distribution scheduling manager. Thereby realizing a flexible resource scheduling strategy.
The resource collection agent module in the computing node is connected with the resource information collection module in the management node so as to send the resource information of the computing node where the resource collection agent module is located, which is collected by the resource collection agent module, to the resource information collection module of the management node.
The scheduling policy communication between the cross-regional data centers can be realized through an external resource service interface arranged on the management node, and the external resource service interface is connected with a distribution scheduling manager of the regional in the regional data center and is connected with resource scheduling managers of other regional data centers through a network, so that a service interface for externally providing resource information acquisition and cross-regional resource scheduling support is provided.
The dispatching policy manager is deployed on the management node and used as a policy arrangement management tool to provide a basis for dispatching for the dispatching manager and is responsible for managing the dispatching policy. The degree policy in this embodiment preferably includes determining a scheduling policy using an impact factor and a weight ratio, e.g., their products. Preferably, the scheduling policy manager may further set to execute the scheduling policy when the CPU usage or the memory usage reaches a threshold value and continues for a defined time.
Preferably, the local scheduling policy is determined according to an influence factor of the resource information utilization rate of the local area data center computing node and a weight proportion of the influence factor, and the influence factor at least comprises a CPU utilization rate and a memory utilization rate. The problem that the service resource requirements of the data center of the local area are matched with the resource capacities of all computing nodes of the data center of the local area is determined, and a scheduling basis is provided for realizing resource load balancing of the data center of the local area.
The cross-regional scheduling policy is determined at least according to the resource information utilization rate of each computing node in the cross region, the network delay, the influence factor of IO read performance and the weight proportion of the influence factor, and the local scheduling policy. In the multi-region data center with different network bandwidths, data scales and IO reading performances, the problem that the service resource requirements of the data center in the region are matched with the resource capacities of computing nodes of other regional centers is determined, and a scheduling basis is provided for realizing resource load balancing of the cross-region data center.
According to another aspect of the specific embodiment, there is further provided a method for scheduling cloud resources in a cross-regional data center, where the method is implemented by using the above system, and the method includes:
acquiring resource information of the computing node of the local area data center;
judging whether the resource information meets the scheduling requirement or not; if yes, carrying out resource distribution and scheduling according to a local scheduling strategy; if not, acquiring the resource information of the computing nodes of the data centers in other areas; and when the resource information of the computing nodes of the other regional data centers meets the cross-regional scheduling requirement, performing a cross-regional scheduling strategy to distribute and schedule the resources.
Specifically, the flow of the cross-regional data center cloud resource scheduling method is shown in fig. 2, and the method comprises the following steps:
step 1: and each computing node resource acquisition agent module in the regional data center acquires resource information and sends the resource information to the resource information acquisition module of the management node.
Step 2: the distribution scheduling manager takes the collected resource information as a precondition, and executes the resource scheduling strategy provided by the scheduling strategy manager to execute the demand assessment.
Step 3: the local data center resource meets the scheduling requirement, and the distribution scheduling manager distributes and schedules the resource according to the local scheduling strategy provided by the scheduling strategy manager.
Step 4: the local regional data center resource can not meet the scheduling requirement, and a distribution scheduling manager of the management node acquires the resource information of other regional data centers in a cross-region manner through an external resource service interface.
Step 5: taking cross-regional collection resource information as a precondition, the distribution scheduling manager executes the cross-regional scheduling strategy provided by the scheduling strategy manager to execute the demand assessment.
Step 6: and the other regional data center resources meet the scheduling demands, and the distribution scheduling manager distributes and schedules the resources according to the cross-regional scheduling strategy provided by the scheduling strategy manager.
Step 7: if the other regional data center resources cannot meet the scheduling requirements, the scheduling fails, and insufficient resources are prompted.
Each regional data center is executed according to steps 1-7. By the method, the integration and unified management scheduling of the multi-cloud cross-regional data center resources are realized, and the global load balance of the resources is realized.
Preferably, the method for scheduling cloud resources of a cross-regional data center provided in this embodiment further includes the following steps:
creating a logic router of the management node of the local area data center according to the SDN controller of the management node of the local area data center; creating a unique area name of the local area data center in the local area data center management node; the network parameters of an underley layer of the regional data center management node network are configured through an interconnection module so as to realize the intercommunication of devices in the regional data center and/or the communication between the regional data center and other regional data centers; generating a logic transmission switch by configuring remote port switching functions of a virtual switch and an SDN controller in a local area data center management node; connecting the logic router with a transmission logic switch; designating a physical network traffic ingress and egress on a routing port of a logical router; and setting an automatic route announcement on the SDN controller of the regional data center.
Specifically, the method for scheduling cloud resources of the cross-regional data center provided in this embodiment further includes:
creating a logic router in the regional data center through the SDN controller; creating a unique area name for cross-area multi-cloud interconnection in the local area data center; the network parameters of other regional data centers which need to be communicated with the regional data center in an underlay layer are configured in the regional data center through an interconnection module; configuring a virtual switch and a remote port connection module and a remote port forwarding module of an SDN controller in a local area data center to generate a transmission logic switch; designating a physical network traffic gateway on a routing port of a logical router on the local data center; setting an automatic route announcement on an SDN controller of the regional data center; repeating the steps in other area data centers.
Through the steps, stable communication between the cloud cross-regional isolation networks of the overlay layer and smooth migration of network security policies between the cloud cross-regional data centers are realized.
Compared with the prior art, the method and the device can realize stable communication between the cloud cross-regional isolation networks of the overlay layer and smooth migration of network security policies between the cloud cross-regional data centers by the virtual switch, the interconnection module, the SDN controller, the logic router established on the SDN controller and the logic switch established according to the virtual switch and the SDN controller; the resource collection agent and the distribution scheduling manager realize the integration and unified management scheduling of the resources of the multi-cloud cross-regional data center, and realize the global load balance of the resources.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present application, and are not meant to limit the scope of the invention, but to limit the scope of the invention.
Claims (10)
1. A cross-regional data center cloud resource scheduling system, comprising:
a plurality of data centers, each data center including a compute node and a management node;
the computing node comprises a virtual switch and is responsible for forwarding the flow of other virtual switches of the local area data center according to an OpenFlow flow table issued by the local area data center management node;
the management node comprises an SDN controller, and is connected with the virtual switch network of the local area data center to form an SDN network of the local area data center; the SDN controller issues an OpenFlow flow table to the virtual switch of the local area data center to guide the virtual switch to forward the flow;
the logic router sends the route information of the other area data centers to the SDN controller through the route announcement so as to convert the route information of the other area data centers into an OpenFlow flow table through the SDN controller and send the OpenFlow flow table to the virtual switch of the area;
and the transmission logic switch is respectively connected with the SDN controller and the logic router, forwards the information of the SDN network of the local area data center outwards through the logic router, and forwards the information transmitted by other data centers to the SDN network of the local area data center.
2. The cross-regional data center cloud resource scheduling system according to claim 1, wherein the management node further comprises an interconnection module, and the interconnection module is arranged in the regional data center and the logic switch and is connected with interconnection modules of other regional data centers; so as to realize the interactive communication connection between the regional data center virtual switch and other regional data center virtual switches.
3. The transregional data center cloud resource scheduling system of claim 1, wherein the management node further comprises,
the distribution scheduling manager sends the resource scheduling instruction of the local area to the computing node of the local area data center according to the resource information from the local area data center and the scheduling strategy of the local area data center; the distribution schedule manager is also connected with the management nodes of other areas, and transmits and receives cross-area schedule instructions to the distribution schedule manager of the data center management nodes of other areas.
4. A cross-regional data center cloud resource scheduling system according to claim 3, wherein the computing nodes further comprise a resource collection agent module, which is connected to a distribution scheduling manager of the management node of the regional data center, and provides the distribution scheduling manager with resource information of the computing node where the distribution scheduling manager is located.
5. The system of claim 4, wherein the data center comprises a management node, and wherein the management node manages the plurality of computing nodes.
6. A transregional data center cloud resource scheduling system as claimed in claim 3 wherein the distribution scheduling manager schedules computing resources of the local and other regional data centers in accordance with local and transregional scheduling policies.
7. The cross-regional data center cloud resource scheduling system according to claim 6, wherein the local scheduling policy is determined according to an influence factor of resource information utilization rate of each computing node in the local region and a weight ratio of the influence factor, and the influence factor at least comprises a CPU utilization rate and a memory utilization rate.
8. The system of claim 6, wherein the cross-regional scheduling policy is determined based on at least a factor of impact of resource information usage, network delay and IO reading performance of each computing node in the cross-regional and a weight ratio of the factor of impact, and a local scheduling policy.
9. A method for scheduling resources of a cross-regional data center cloud, wherein the method uses a cross-regional data center cloud resource scheduling system according to any one of claims 1 to 8 to schedule resources, and the method comprises:
acquiring resource information of the computing node of the local area data center;
judging whether the resource information meets the scheduling requirement or not; if yes, carrying out resource distribution and scheduling according to a local scheduling strategy; if not, acquiring the resource information of the computing nodes of the data centers in other areas; and when the resource information of the computing nodes of the other regional data centers meets the cross-regional scheduling requirement, performing a cross-regional scheduling strategy to distribute and schedule the resources.
10. The method for scheduling cloud resources of a transregional data center according to claim 9, wherein the method comprises:
creating a logic router of the management node of the local area data center according to the SDN controller of the management node of the local area data center;
creating a unique area name of the local area data center in the local area data center management node;
the network parameters of an underley layer of the regional data center management node network are configured through an interconnection module so as to realize the intercommunication of devices in the regional data center and/or the communication between the regional data center and other regional data centers;
generating a logic transmission switch by configuring remote port switching functions of a virtual switch and an SDN controller in a local area data center management node; connecting the logic router with the transmission logic switch;
designating a physical network traffic ingress and egress on a routing port of the logical router;
and setting an automatic routing announcement on the SDN controller of the local area data center.
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| WO2015192584A1 (en) * | 2014-06-18 | 2015-12-23 | 中兴通讯股份有限公司 | Virtual routing system and method |
| CN104301391A (en) * | 2014-09-19 | 2015-01-21 | 北京邮电大学 | Multi-domain optical network data center resource virtualization mapping method |
| CN109218053A (en) * | 2017-07-03 | 2019-01-15 | 中兴通讯股份有限公司 | Implementation method, system and the storage medium of virtual data center |
| US10567288B1 (en) * | 2017-11-28 | 2020-02-18 | Juniper Networks, Inc. | Automatic discovery, scaling, and load balancing of multiple cloud data centers in a software-defined network environment |
| CN113515350A (en) * | 2021-07-29 | 2021-10-19 | 广州高维网络科技有限公司 | Hybrid cloud computing management platform |
| CN113992577A (en) * | 2021-09-24 | 2022-01-28 | 广东浪潮智慧计算技术有限公司 | Network intercommunication method, device, equipment and medium |
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