CN116389349B - Node autonomous hybrid cloud data transmission method and system - Google Patents
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The application relates to a node autonomous hybrid cloud data transmission method and a system, wherein the method comprises the steps of acquiring all nodes in a hybrid cloud; respectively setting identification codes for all nodes; acquiring transmission performance information between each node and other communicable nodes of the node, and acquiring transmission performance information between all any two communicable nodes; calculating the data transmission weight between every two communicable nodes according to the transmission performance information; calculating the data transmission paths of any two nodes according to the data transmission weights; the data transmission is performed using a data transmission path. The method can enable each node in the hybrid cloud to actively maintain the information such as the running state, the transmission performance and the like of other communicable nodes, and improves the autonomy capability of the hybrid cloud node. When data access is required, the method accurately performs optimal data transmission route planning through node autonomous maintenance, and provides the fastest data access path for clients.
Description
Technical Field
The application belongs to the technical field of data transmission, and particularly relates to a node autonomous hybrid cloud data transmission method and system.
Background
The hybrid cloud absorbs the advantages of public cloud and private cloud, becomes a cloud-up preference gradually, is the combination between an internal data center of the private cloud and one or more public cloud resource pools, organically combines local facilities with third-party public cloud services, has the advantage of lower cost than the public cloud, and has the advantage of protecting highly sensitive information of the private cloud; the core of the hybrid cloud is embodied as how to manage the network connection between the local data center to the public cloud.
Under the large background of rapid development of cloud computing, upper cloud data is increased in geometric level, the storage of the data becomes more flexible by a hybrid cloud mode, and the data is generally stored in public cloud or private cloud nodes respectively according to service requirements and data characteristics so as to ensure that the data can be accessed anytime and anywhere and the safety of the data is protected; in the hybrid cloud construction, how to ensure that data can be quickly transmitted in hybrid cloud nodes, timely and synchronously meet the use requirements in real time becomes a problem which must be considered in the hybrid cloud technology evolution process.
Therefore, there is a need for a hybrid cloud data transmission method that enables data to be quickly transmitted between nodes.
Disclosure of Invention
Based on the above-mentioned drawbacks and disadvantages of the prior art, it is an object of the present application to at least solve the above-mentioned problems of the prior art, in other words, to provide a method and a system for node autonomous hybrid cloud data transmission that meets the above-mentioned needs.
In order to achieve the aim of the application, the application adopts the following technical scheme:
in a first aspect, the present application provides a node autonomous hybrid cloud data transmission method, including the following steps:
s1, acquiring all nodes in a hybrid cloud;
s2, respectively setting identification codes for all nodes;
s3, acquiring transmission performance information between each node and other communicable nodes of the node, and acquiring transmission performance information between all any two communicable nodes;
s4, calculating the data transmission weight between every two communicable nodes according to the transmission performance information;
s5, calculating data transmission paths of any two nodes according to the data transmission weights;
s6, data transmission is carried out by using the data transmission path.
As a preferred embodiment, the transmission performance information includes: network bandwidth, network latency.
As a further preferred embodiment, the data transmission weights are derived from the ratio of the network bandwidth to a preset network bandwidth and the preset network delay added to the network delay.
As a preferred embodiment, the transmission performance information includes node types, which are divided into a computing node and a storage node.
As a further preferred embodiment, the data transmission weight obtains an additional value according to the number of storage nodes in each two communicable nodes, and if both communicable nodes are storage nodes, the additional value is the largest.
As a preferred embodiment, the calculation method of the data transmission paths of any two nodes in step S5 is as follows:
calculating total data transmission weight of all paths between any two nodes;
and selecting the path with the highest total data transmission weight as the data transmission path of any two nodes.
As a preferred embodiment, step S60 is further included after step S5 and before step S6:
and compressing the data according to the total data transmission weight of each segment of the data transmission paths.
As a further preferred embodiment, step S60 includes the steps of:
s601, calculating a data compression ratio according to total data transmission weights of all sections of paths in the data transmission path;
s602, compressing the data according to the data compression ratio.
As a further preferred embodiment, the data compression ratio calculation method is as follows:
dividing the ratio of the preset data size to the data size to be transmitted by the total data transmission weight.
In a second aspect, the present application further provides a node autonomous hybrid cloud data transmission system, where the node autonomous hybrid cloud data transmission method according to any one of the above is applied, and communication between nodes in the hybrid cloud is direct communication, and the system includes:
the distribution module is used for acquiring all nodes in the hybrid cloud and respectively setting identification codes for all the nodes;
the transmission performance statistics module is used for acquiring a communicable node list of each node and acquiring transmission performance information between every two communicable nodes according to the communicable node list;
a transmission path calculation module, configured to calculate a data transmission weight between each two communicable nodes according to the transmission performance information, and calculate a data transmission path of any two nodes according to the data transmission weight;
and the transmission module is used for carrying out data transmission by using the data transmission path.
In a third aspect, the application also provides a computer readable storage medium storing a computer program which when executed by a processor performs a method as any one of the above.
In a fourth aspect, the application also provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program when executed by the processor implementing a method as any one of the above.
Compared with the prior art, the application has the beneficial effects that:
the method and the system can ensure that each node in the hybrid cloud actively maintains the information such as the running state, the transmission performance and the like of other communicable nodes, and improves the autonomy capability of the hybrid cloud node. When data access is required, the method and the system of the application accurately carry out optimal data transmission route planning through the autonomous maintenance of the nodes, and provide the fastest data access path for the clients.
On the other hand, the method and the system of the application also calculate the data compression ratio according to the data transmission weight in the data transmission process, and maximize the compression of the data as much as possible while ensuring the highest data transmission speed.
Drawings
Fig. 1 is a schematic structural diagram of an example of a hybrid cloud in the prior art.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application.
In the following description, various embodiments of the application are provided, and various embodiments may be substituted or combined, so that the application is intended to include all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then the present application should also be considered to include embodiments that include one or more of all other possible combinations including A, B, C, D, although such an embodiment may not be explicitly recited in the following.
The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the application. Various examples may omit, replace, or add various procedures or components as appropriate. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
Before the embodiments of the present methods and systems are described in detail, the application environment of the present methods and systems is described herein as follows:
the hybrid cloud is a cloud computing model, combines the characteristics of public cloud and private cloud, and aims to meet the demands of organizations on safety, controllability and flexibility. It allows enterprises to distribute their applications and data across multiple cloud environments, including public clouds, private clouds, and local infrastructure.
The structure of a hybrid cloud generally includes the following components:
public cloud nodes: and a cloud platform managed and operated by the third party service provider, wherein the enterprise can access and use public cloud resources through the Internet. Public Yun Jiedian provides highly scalable computing and storage resources, as well as various cloud services such as virtual machine instances, databases, storage, and the like.
Private cloud node: cloud environments, built and managed by the enterprise itself, are typically deployed in a data center or hosting facility of the enterprise. The private cloud node provides higher security and customizable, is suitable for storing sensitive data and applications, and meets compliance requirements.
Cloud connection: the hybrid cloud architecture requires reliable network connections to connect public cloud nodes, private cloud nodes, and edge devices. Data transmission and communication across different cloud environments may be achieved through a dedicated connection, a Virtual Private Network (VPN), or a Software Defined Network (SDN).
The design goal of hybrid clouds is to take maximum advantage of the various cloud environments, providing flexibility, security, and performance while meeting the specific needs and requirements of the enterprise. The method enables enterprises to freely migrate the workload between public cloud and private cloud, expands or contracts resources according to requirements, and obtains higher flexibility and cost benefit while protecting sensitive data.
Fig. 1 is a schematic structural diagram of a hybrid cloud example, when a client needs to store data in a cloud, the client connects with a data receiving component agent of the cloud 1, and forwards the data to a corresponding computing node through the agent.
The existing hybrid cloud data transmission scheme generally has the following characteristics:
1. the public cloud resource pool and the private cloud resource pool are relatively independent, and a unified data exchange channel is established among multiple clouds.
2. The data is directly transmitted between the source node and the target node without optimal path planning.
The hybrid cloud structure applied by the application is different from the hybrid cloud in the prior art, and adopts a node self-consistent scheme. The node autonomy means that in a mixed cloud scene, a data transmission agent component agent is arranged on each public cloud or private cloud node, and the component establishes long links with other communicable nodes in the environment, so that on one hand, the running states, network rates, time delays, node roles and the like of all communicable nodes in a resource pool are collected in real time, and on the other hand, when the node receives a data transmission request sent by any client, the data transmission agent component can intelligently plan a data transmission path according to the currently collected node states; when a client sends out a data transmission request such as file uploading, data input and the like or performs data synchronization among clouds, any node is accessed to obtain a quick response.
In the hybrid cloud structure applied by the application, all nodes are directly communicated, and nodes in two clouds are directly communicated across clouds through respective data transmission proxy components of the nodes without a single request processing device and a network link between the two clouds during data transmission.
Based on the above-mentioned hybrid cloud structure, in a first aspect, the present application provides a node autonomous hybrid cloud data transmission method, including the following steps:
s1, acquiring all nodes in a hybrid cloud;
s2, respectively setting identification codes for all nodes;
an embodiment of the present application provides a specific solution of the foregoing steps S1 and S2, where all public cloud nodes and private cloud nodes in the hybrid cloud are assigned with identification codes, where the identification codes may take UUIDs of the nodes, or may be self-created according to feature numbers, by assigning forms of identification codes to create a hybrid cloud node information base.
S3, acquiring a communicable node list of each node, and acquiring transmission performance information between every two communicable nodes according to the communicable node list.
Specifically, the implementation of step S3 in this embodiment is as follows: each node in the hybrid cloud respectively establishes long links with other nodes which are communicated with each other, the state information is mutually synchronized through respective data transmission proxy components, the network health state is detected, transmission performance information is generated, then the transmission performance information is uploaded, and a hybrid cloud node information base is established according to the identification code of each node.
As a preferred embodiment, the transmission performance information includes: network bandwidth and network delay, which are used for calculating the data transmission speed between nodes.
In addition, the transmission performance information may further include node types, which are divided into a computing node and a storage node. Because the computing node and the storage node have different transmission pressures when transmitting data, and the computing node is generally prevented from being occupied as a transfer node for transmission in the data transmission process, the node type is added into the transmission performance information so as to reduce the occupancy rate of the computing node in the subsequent path selection.
The embodiment also provides a specific scheme of the data format in the hybrid cloud node information base, and the information base is exemplified as follows:
[
{srcID:01,nodeInfo:[{ID:02,net_bandwidth:xx,net_delay:xx,node_type:xx,……},{ID:03,net_bandwidth:xx,net_delay:xx,node_type:xx,……} ,……]},
{srcID:02,nodeInfo:[{ID:01,net_bandwidth:xx,net_delay:xx,node_type:xx,……},{ID:03,net_bandwidth:xx,net_delay:xx,node_type:xx,……} ,……]},
……]
the srcID is the current node ID, the nodeInfo contains information of all communicable nodes, for example, the nodeInfo content of the node 01 should contain information of the node 02 and the node 03, wherein the ID is the ID of target butt joint, net_bandwidth is network bandwidth, net_delay is network delay among nodes, node_type is the type of the node, and the node is a storage node or a calculation node. The transmission performance information is not limited to the above-mentioned types, and other information capable of affecting the transmission speed or the occupation of the node's own resources may be extended according to the actual situation.
In the above embodiment, when there is a node change in the hybrid cloud, such as a new addition, fault isolation, etc., relevant nodes in the cloud all update the state in real time and update the hybrid cloud node information base.
And S4, calculating the data transmission weight between every two communicable nodes according to the transmission performance information.
Based on the setting that the transmission performance information includes the network bandwidth and the network delay in the above embodiment, in step S4, the data transmission weight is obtained by adding the preset network delay and the preset network bandwidth according to the ratio of the network bandwidth to the preset network bandwidth.
Specifically, a calculation formula for obtaining the data transmission weight by adding and calculating the preset network delay and the network bandwidth according to the ratio of the network bandwidth to the preset network bandwidth is as follows:
；
wherein Bmax is the reference network bandwidth between nodes, and is set to be 1Gbps, and bn is the bandwidth between every two nodes in the path; dmax is the maximum network delay between nodes, set as 300ms, dn is the network delay between every two nodes in the path; the greater the weight calculated using the above method, the higher the priority.
As a further improvement, based on the above embodiment, the transmission performance information includes a node type, where the node type includes a configuration of a computing node and a storage node, in step S4, the data transmission weight obtains an additional value according to the number of computing nodes in each two communicable nodes, and if both communicable nodes are computing nodes, the additional value is the largest.
The arrangement ensures that the data transmission weight between two storage nodes is larger than the data transmission weight between a calculation node and a storage node and is larger than the data transmission weight between two calculation nodes in the data transmission process. Therefore, when the data transmission path is calculated later, the storage node with stronger reading and writing capacity is more prone to be used as an intermediate node, and the occupation of data storage and receiving and transmitting resources of the calculation node is avoided as much as possible.
S5, calculating the data transmission paths of any two nodes according to the data transmission weights.
The calculation method of the data transmission paths of any two nodes in the step S5 is as follows:
calculating total data transmission weight of all paths between any two nodes;
and selecting the path with the highest total data transmission weight as the data transmission path of any two nodes.
Specifically, when the client sends a data transmission request, the hybrid cloud node information base decides an optimal path according to the data transmission weights among the nodes, and the larger the total data transmission weight of the path is, the larger the total bandwidth or the lower the delay is, the faster the total bandwidth or the lower the delay is, the higher the priority is in data transmission, so that the maximum performance of the data transmission path is exerted as much as possible, and the data transmission speed is improved.
S6, data transmission is carried out by using the data transmission path.
The method can enable each node in the hybrid cloud to actively maintain the information such as the running state, the transmission performance and the like of other communicable nodes, and improves the autonomy capability of the hybrid cloud node. When there is a data access demand, the method and system of the present application accurately performs optimal = data transmission route planning through node autonomous maintenance, providing the fastest data access path for the client.
A modified embodiment of the present application further includes step S60 after step S5 and before step S6:
and compressing the data according to the total data transmission weight of each segment of the data transmission paths.
Since data compression requires consumption of computing resources and takes up a certain time to compress data, the highest compression ratio should not be directly adopted during data transmission, which results in more time consumption in compression and complete utilization of data transmission bandwidth. The use of the calculated compression ratio allows the data transmission to fully utilize bandwidth while minimizing data volume, allowing data to be compressed and transmitted to the target node in the shortest overall time.
This embodiment provides an example of step S60, comprising the steps of:
s601, calculating a data compression ratio according to total data transmission weights of all sections of paths in the data transmission path;
s602, compressing the data according to the data compression ratio.
Further, the data compression ratio calculating method comprises the following steps:
dividing the ratio of the preset data size to the data size to be transmitted by the total data transmission weight.
In a specific implementation of the above method, the data compression ratio is calculated as follows:
；
wherein the method comprises the steps of，RatioIn the case of a data compression ratio,Smaxthe reference size of the data is set to 100MB,Weightas the weight of the node,sizeis the size of the data.
According to the method, the data compression ratio is calculated according to the data transmission weight in the data transmission process, so that the data is maximally compressed while the data transmission speed is ensured to be the fastest.
An embodiment of the present application further provides a node autonomous hybrid cloud data transmission system, where the node autonomous hybrid cloud data transmission method according to any one of the above embodiments is applied, and communication between nodes in the hybrid cloud is direct communication, and the system includes:
the distribution module is used for acquiring all nodes in the hybrid cloud and respectively setting identification codes for all the nodes;
the transmission performance statistics module is used for acquiring a communicable node list of each node and acquiring transmission performance information between every two communicable nodes according to the communicable node list;
a transmission path calculation module, configured to calculate a data transmission weight between each two communicable nodes according to the transmission performance information, and calculate a data transmission path of any two nodes according to the data transmission weight;
and the transmission module is used for carrying out data transmission by using the data transmission path.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a node autonomous hybrid cloud data transmission method in the above embodiments. The computer readable storage medium may include, among other things, any type of disk including floppy disks, optical disks, DVDs, CD-ROMs, micro-drives, and magneto-optical disks, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
The application also provides an electronic device comprising at least one processor, at least one memory and a computer program stored on the memory and executable on the processor.
Wherein the processor may include one or more processing cores. The processor uses various interfaces and lines to connect various portions of the overall electronic device, perform various functions, and process data by executing or executing instructions, programs, code sets, or instruction sets stored in memory, and invoking data stored in memory. In the alternative, the processor may be implemented in at least one of the hardware forms DSP, FPGA, PLA. The processor may integrate one or a combination of several of a CPU, GPU, modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen.
The memory may include RAM or ROM. Optionally, the memory comprises a non-transitory computer readable medium. The memory may be used to store instructions, programs, code sets, or instruction sets. The memory may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like referred to in the above respective method embodiments. The memory may optionally also be at least one storage device located remotely from the aforementioned processor. An operating system, a network communication module, a user interface module, and an application program for executing the node autonomous hybrid cloud data transmission method of the above embodiment may be included in a memory as a computer storage medium.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. The node autonomous hybrid cloud data transmission method is characterized by comprising the following steps:
s1, acquiring all nodes in a hybrid cloud;
s2, respectively setting identification codes for all the nodes;
s3, acquiring transmission performance information between each node and other communicable nodes of the node, and acquiring transmission performance information between all any two communicable nodes;
s4, calculating the data transmission weight between every two communicable nodes according to the transmission performance information;
s5, calculating data transmission paths of any two nodes according to the data transmission weights;
s6, carrying out data transmission by using the data transmission path;
the transmission performance information comprises node types, wherein the node types are divided into a computing node and a storage node;
and the data transmission weight obtains additional added values according to the number of storage nodes in every two communicable nodes, and if the two communicable nodes are all storage nodes, the additional added values are the largest.
2. The method for node autonomous hybrid cloud data transmission according to claim 1, wherein the transmission performance information includes: network bandwidth, network latency.
3. The node autonomous hybrid cloud data transmission method of claim 2, wherein the data transmission weight is obtained by adding a preset network delay to the network delay according to a ratio of the network bandwidth to a preset network bandwidth.
4. The method for autonomous hybrid cloud data transmission according to claim 1, wherein the method for calculating the data transmission paths of any two nodes in step S5 is as follows:
calculating the total data transmission weight of all paths between any two nodes;
and selecting the path with the highest total data transmission weight as the data transmission path of any two nodes.
5. The method for node autonomous hybrid cloud data transmission according to claim 1, further comprising step S60 after step S5 and before step S6:
and compressing the data according to the total data transmission weight of each section of paths in the data transmission path.
6. The method for node autonomous hybrid cloud data transmission according to claim 5, wherein said step S60 comprises the steps of:
s601, calculating a data compression ratio according to total data transmission weights of all sections of paths in the data transmission path;
s602, compressing the data according to the data compression ratio.
7. The method for node autonomous hybrid cloud data transmission according to claim 6, wherein the method for calculating the data compression ratio is as follows:
dividing the ratio of the preset data size to the data size to be transmitted by the total data transmission weight.
8. A node autonomous hybrid cloud data transmission system, characterized in that the node autonomous hybrid cloud data transmission method according to any one of claims 1-5 is applied, and communication among nodes in the hybrid cloud is direct communication, the system comprises:
the distribution module is used for acquiring all nodes in the hybrid cloud and respectively setting identification codes for all the nodes;
the transmission performance statistics module is used for acquiring transmission performance information between each node and other communicable nodes thereof and obtaining transmission performance information between all any two communicable nodes;
a transmission path calculation module, configured to calculate a data transmission weight between each two communicable nodes according to the transmission performance information, and calculate a data transmission path of any two nodes according to the data transmission weight;
and the transmission module is used for carrying out data transmission by using the data transmission path.
9. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method according to any of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, which computer program, when executed by the processor, implements the method according to any of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111277630A (en) * | 2020-01-13 | 2020-06-12 | 腾讯科技（深圳）有限公司 | Routing control method and device, electronic equipment and storage medium |
| CN114553760A (en) * | 2020-11-25 | 2022-05-27 | 华为技术有限公司 | Path weight distribution method and device |
| CN112671661A (en) * | 2020-12-24 | 2021-04-16 | 广州市网优优信息技术开发有限公司 | Internet of things data transmission method and system |
| CN115622935A (en) * | 2022-10-13 | 2023-01-17 | 阿里巴巴（中国）有限公司 | Network-based path processing method, system and storage medium |
| CN115794407A (en) * | 2022-12-15 | 2023-03-14 | 中国电信股份有限公司 | Computing resource allocation method and device, electronic equipment and nonvolatile storage medium |
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