CN105119996A - Resource reusing method based on cloud platform - Google Patents

Abstract

The invention discloses a resource reuse method based on a cloud platform, and relates to the technical field of cloud computing. In the cloud platform, a resource node is connected to a control subnet, and the control node is connected; the control node sends a software resource demand list to the resource node , the resource node downloads software resources and stores them in the resource node according to the software resource requirement list; the control node sends commands to each computing node to update the configuration; the resource node regularly updates the software resources stored in the resource node according to the active upgrade update strategy, and uploads The list of available resources, the control node provides the display and operation of the list of available resources in the user visual interface. The invention helps the cloud platform to establish a local high-frequency download resource server, reduces external network traffic overhead, improves the resource download speed of the virtual host, and improves the network efficiency of the cloud platform.

Description

A resource reuse method based on cloud platform

technical field

The invention relates to the technical field of cloud computing, in particular to a resource reuse method based on a cloud platform.

Background technique

With the construction of large-scale data centers, cloud platforms and virtualization are becoming more and more common, and the number of virtual hosts in data centers is increasing, resulting in a significant increase in network traffic. However, in the network traffic, a large part of the traffic is repeated downloading of specific resources, thus causing traffic waste. In addition, a large number of virtual hosts request scattered network resources, which will increase the difficulty of network traffic control and cause network congestion. Therefore, it is very necessary to introduce local resource storage nodes in the cloud platform of large data centers to buffer repeated downloads and improve network efficiency.

Contents of the invention

The present invention provides a cloud platform-based resource reuse method aiming at the current needs and the shortcomings of the development of the prior art.

A resource reuse method based on a cloud platform of the present invention, the technical solution adopted to solve the above technical problems is as follows: The resource reuse method includes the following steps: 1) Setting a local HTTP server in the cloud platform as a resource node Connect to the control subnet of the cloud platform, and establish a connection with the control node; 2) The control node sends the software resource requirement list to the resource node, and the resource node downloads the software resource through the cloud platform data subnet according to the software resource requirement list and Stored in the resource node; 3) The resource node creates the same file directory and storage structure locally according to the remote storage form of the downloaded software resources; 4) The control node issues commands to each computing node in the cloud platform to update the configuration; 5) The resource node regularly updates the software resources stored inside the resource node according to the active upgrade and update strategy, and regularly cleans up expired and infrequently used resources; 6) The resource node uploads the list of available resources in the form of RESTAPI through the control subnet, and the control node Display and operate the list of available resources in the user visual interface.

Preferably, the control subnet uses a network segment different from the normal communication data subnet for communication isolation.

Preferably, if the virtual host inside the cloud platform needs to download the software resource that already exists in the resource node, the download command is directed to the resource node inside the cloud platform; otherwise, the download command is directed to the external network.

Preferably, the control node applies for statistical information of resource packets from the external network according to the internal virtual host of the cloud platform, performs resource requirement analysis, and forms a list of commonly used software resource requirements and sends it to the resource node.

Preferably, the dedicated data network is isolated from the data communication network of the cloud platform, and a dedicated high-speed communication line is used to provide an efficient channel for resource nodes to download software resources.

Preferably, the resource node reads the resource file directory storage structure, establishes an independent storage space depending on the type of operating system, and starts the HTTP service.

Preferably, the control node sends a command to update the configuration to each computing node in the cloud platform, and the control node sends a command to update the configuration to the virtual host in each computing node in the cloud platform through the control subnet.

Preferably, when the virtual host requests resources from the network, the network point of the resource is modified from the external remote network to the resources in the local resource node, and the control node first retrieves the available local resources according to the available resource list of the resource node, and then the control node Configure the available local resources as the default point when the virtual host requires network resources by modifying the configuration of the virtual host command.

Preferably, in the software resource requirement list generated by the control node, an update cycle is configured for each resource entry, and when the update cycle of each resource entry expires, the resource node automatically inquires about the update status of the remote resource.

Compared with the prior art, the resource reuse method based on the cloud platform described in the present invention has the beneficial effect that the present invention is applicable to large-scale data centers and enterprise park networks, etc., and applications with high frequency of repeated downloading of specific resources Scenarios; help the cloud platform to establish a local high-frequency download resource server, reduce external network traffic overhead, increase the download speed of virtual host resources, and improve the network efficiency of the cloud platform; provide more diversified functions and features for the cloud operating system, reduce cloud Platform construction costs, thereby improving the quality and image of cloud operating system products.

Description of drawings

Accompanying drawing 1 is the schematic diagram of the network topology of the resource reuse method under the OpenStack cloud platform;

Description of reference numerals: 100: control node; (201, 202, 203): computing node cluster; 300: network node; 400: network controller node; 500: resource node; (6001, 6002, 6003): access layer switch; (6011, 6012): backbone layer switch; 700: switch.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the resource multiplexing method based on the cloud platform of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

The invention discloses a resource reuse method based on a cloud platform, comprising the following steps: 1) setting a local HTTP (HyperTextTransferProtocol, hypertext transfer protocol) server in the cloud platform, and connecting it to the control subnet of the cloud platform as a resource node , and establish a connection with the control node; 2) The control node sends the software resource requirement list to the resource node, and the resource node downloads the software resource through the cloud platform data subnet and stores it in the resource node according to the software resource requirement list; 3) The resource node According to the remote storage form of the downloaded software resources, create the same file directory and storage structure locally; 4) The control node sends commands to each computing node in the cloud platform to update the configuration. If the virtual host needs to download the resource node already exists If there are no software resources, the download command will be directed to the resource node inside the cloud platform; otherwise, the download command will be directed to the external network; 5) The resource node will regularly update the software resources stored in the resource node according to the active upgrade update strategy, and regularly clean up the expired and infrequently used resources; 6) The resource node uploads the list of available resources in the form of RESTAPI (REpresentationalStateTransferApplicationProgrammingInterface, representational state transfer application programming interface) through the control subnet, and the control node provides display and operation for the list of available resources in the user visual interface.

Example:

In the resource reuse method based on the cloud platform described in this embodiment, the cloud platform may include any cloud operating system based on cloud computing resources, network resources, storage resources, etc., such as OpenStack, CloudStack, and the like.

In step 1), the control subnet adopts a network segment different from the normal communication data subnet for communication isolation. For example, the control subnet adopts the 10.0.0.0/24 network segment, and the communication data subnet can adopt 192.168. 0.0/24 network segment.

In step 2), the software resource requirement list is issued by the control node to the resource node. The control node conducts resource demand analysis based on the statistical information of the resource request message from the internal virtual host of the cloud platform to the external Internet network, and forms a common software resource demand list and sends it to the resource node.

In step 2), the dedicated data network is isolated from the data communication network of the cloud platform, and a dedicated high-speed communication line is used to provide an efficient channel for resource nodes to download software resources.

In step 3), the resource node creates the same file directory and storage structure locally according to the remote storage form of the downloaded software resources. The resource node reads the resource file directory storage structure and establishes an operating system-dependent Type of independent storage space, open the HTTP service.

In step 4), the control node sends a command to update the configuration to each computing node in the cloud platform, and the control node sends a command to update the configuration to the virtual host in each computing node in the cloud platform through the control subnet. The configuration is mainly aimed at modifying the network pointing of resources from the external remote network to the resources in the local resource node when the virtual host requests resources from the network.

When the virtual host requests resources from the network, it modifies the network point of the resources from the external remote network to the resources in the local resource node. The host command configuration method configures the available local resources as the default point when the virtual host requires network resources. If the virtual host sends a request for a network software resource that does not exist in the local resource, the request is directly forwarded to the external Internet network.

In step 5), the resource node regularly updates the software resources stored inside the resource node according to the active upgrade and update strategy, and regularly cleans up expired and infrequently used resources. In the software resource requirement list generated by the control node, each resource The entries are configured with an update period. When the update period of each resource entry expires, the resource node will automatically inquire about the update status of the remote resource. If there is an update resource, it will be downloaded and stored locally on the resource node, and the control will be notified through RESTAPI The node updates the list of available resources.

The control node determines the resources that need to be added in the resource node by analyzing the frequency of the resources requested by the internal virtual host of the cloud platform to the external Internet network, and the frequency analysis of the virtual host's request for the internal local network resources of the resource node. resources and resources that need to be deleted.

In step 6), the resource node uploads the list of available resources in the form of RESTAPI through the control subnet, and the control node provides display and operation of the list of available resources in the user visual interface, the GUI (GraphicUserInterface, graphical The user interface) can call the REST API of the resource node, and display the list of available software resources of the resource node in the GUI, provide visual operation options, and help users manually add or delete software resources on the resource node.

Accompanying drawing 1 is the schematic diagram of the network topology of the resource reuse method under the OpenStack cloud platform. As shown in the accompanying drawing 1, the network topology adopts the OpenStack cloud platform management operating system as the basic framework, and a resource node 500 is added in the basic framework. Deploy the HTTP service on the resource node, connect to the control subnet of the cloud platform, and establish a connection with the control node.

The network topology uses the OpenStack cloud platform management operating system as the basic framework, and a network controller node 400 is added to the basic framework, and OpenDaylight is deployed on the network controller node to realize SDN (Software Defined Network, software-defined network) for physical switches control.

The network topology adopts a two-layer network architecture, that is, the access layer and the backbone layer. The access layer switches mainly include switch 6001, switch 6002, and switch 6003; the backbone layer switches mainly include switch 6011 and switch 6012. In addition, in order to realize the isolation of the control subnet and the data subnet conveniently, all nodes are connected through the switch 700 and are under the control subnet.

The network node 300 is connected to the external network to provide network services for the physical and virtual hosts in the cloud platform; the resource node 500 is connected to the external network through a high-speed patent to download reusable resources. All connecting lines represent two-way communication links, where solid connecting lines represent data subnets, and dashed connecting lines represent control subnets. The control subnet adopts the 10.0.0.0/24 network segment, and the data subnet adopts the 192.168.0.0/24 network segment.

Several virtual hosts in the computing node cluster 201 are installed with the Ubuntu 14.04 operating system, and update the system kernel and software resources through commands such as sudoapt-getupdate and sudoapt-getdist-upgrade. When the number of times the above two commands are executed to request related network resources reaches a certain threshold, the control node adds the entries of the resources requested by the two commands sudoapt-getupdate and sudoapt-getdist-upgrade in Ubuntu 14.04 to the resource requirement list according to the statistical results. And deliver the updated resource requirement list to the resource node.

After receiving the software resource requirements list issued by the control node, the resource node 500 downloads the network resources corresponding to the entries through the high-speed dedicated line network, and deploys HTTP services according to the directory structure and storage method of the remote network resources.

The control node 100 retrieves the list of available resources at regular intervals. If a newly added available resource is found, such as the resources obtained by sudoapt-getupdate and sudoapt-getdist-upgrade in this example, then the computing node cluster 201 will be processed through the control subnet. Change the pointing address of the above two commands to the IP address of resource node 500 on the virtual host with Ubuntu 14.04 operating system installed. In this way, if the Ubuntu 14.04 system is upgraded to update the kernel and software resources, relevant resources will be directly downloaded from the resource node 500 via the control subnet.

If the network resource request command issued by the virtual host in the computing node cluster 201 is to request a network resource that does not exist on the resource node 500, the control node collects the statistical information of the relevant request frequency, and if the threshold value is not reached, the relevant command is directly issued by the network Node 300 sends to the Internet network.

Each resource entry on the resource node 500 is accompanied by an update period. When the update period expires, the resource node 500 will send an update request to the corresponding network resource for each resource entry. If there is a new resource available for download , then update the local resource and send the update notification to the control node.

The control node 100 determines resources to be added and deleted by the resource node 500 according to frequency analysis of external network requests and adding and deleting policies. If the request frequency of a specific network resource is lower than the threshold within a certain period, the control node 100 will delete the relevant resource entry in the software resource requirement list, and send the updated software resource list to the resource node 500, and the resource node 500 Update local resources according to the software resource requirements list.

The control node 100 reads the available resource list of the resource node 500 through RESTAPI, and displays it on the user visual interface. In this example, the available resource list is integrated and displayed in the horizon project of OpenStack, and the user visual interface is equipped with relevant Add, delete, update and other manual operation buttons.

The above-mentioned specific embodiments are only specific cases of the present invention, and the scope of patent protection of the present invention includes but is not limited to the above-mentioned specific embodiments, any claims that meet the claims of the present invention and any ordinary skilled person in the technical field. Appropriate changes or substitutions should fall within the scope of patent protection of the present invention.

Claims (9)

1. A resource reuse method based on a cloud platform, characterized in that it comprises the following steps: 1) setting a local HTTP server in the cloud platform, connecting it to the control subnet of the cloud platform as a resource node, and establishing a connection with the control node 2) The control node sends the software resource requirement list to the resource node, and the resource node downloads the software resource through the cloud platform data subnet and stores it in the resource node according to the software resource requirement list; 3) The resource node downloads the software resource according to the downloaded software resource In the form of remote storage, the same file directory and storage structure are created locally; 4) The control node sends commands to each computing node in the cloud platform to update the configuration; 5) The resource node regularly updates the internal resources of the resource node according to the active upgrade update strategy Stored software resources, and regularly clean up expired and infrequently used resources; 6) The resource node uploads the list of available resources in the form of RESTAPI through the control subnet, and the control node provides display and operation of the list of available resources in the user visual interface. 2. A resource multiplexing method based on a cloud platform according to claim 1, wherein the control subnet uses a network segment different from the normal communication data subnet for communication isolation. 3. a kind of resource multiplexing method based on cloud platform according to claim 2, it is characterized in that, if the virtual host in cloud platform needs to download the existing software resource of resource node, then the download command is directed to the resource node in cloud platform ; Otherwise, direct the download command to the external network. 4. A kind of resource multiplexing method based on cloud platform according to claim 3, it is characterized in that, control node applies the statistical information of resource message to external network according to cloud platform internal virtual host, carries out resource requirement analysis, and forms The list of commonly used software resource requirements is sent to resource nodes. 5. A kind of resource multiplexing method based on cloud platform according to claim 1, it is characterized in that, described dedicated data network is isolated from cloud platform data communication network, and adopts high-speed communication dedicated line, provides for downloading software resource of resource node efficient channel. 6. A resource reuse method based on a cloud platform according to claim 4, wherein the resource node reads the resource file directory storage structure, establishes an independent storage space dependent on the operating system type, and starts the HTTP service. 7. A kind of resource multiplexing method based on cloud platform according to claim 6, it is characterized in that, described control node sends order update configuration to each calculation node in cloud platform, and control node sends to cloud platform through control subnet The virtual host in each computing node issues a command to update the configuration. 8. A resource multiplexing method based on a cloud platform according to claim 8, characterized in that, when the virtual host requests resources from the network, it modifies the network pointing of the resources from the external remote network to the local resource node resources, the control node first retrieves the available local resources according to the available resource list of the resource node, and then the control node configures the available local resources as the default point when the virtual host requires network resources by modifying the configuration of the virtual host command. 9. A method for resource reuse based on a cloud platform according to claim 8, characterized in that, in the software resource requirement list generated by the control node, an update cycle is configured for each resource entry, and the resource node is in each resource When the update period of the item expires, it will automatically ask the remote resource for the update status.