CN109379419B - CDN acceleration service control method and control device based on private cloud disk - Google Patents
CDN acceleration service control method and control device based on private cloud disk Download PDFInfo
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- CN109379419B CN109379419B CN201811174364.6A CN201811174364A CN109379419B CN 109379419 B CN109379419 B CN 109379419B CN 201811174364 A CN201811174364 A CN 201811174364A CN 109379419 B CN109379419 B CN 109379419B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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Abstract
The invention provides a CDN acceleration service control method based on a private cloud disk, which is used for data storage and acquisition of the private cloud disk and comprises the following steps: a. the method comprises the steps that pre-stored data are issued to a target node, and the target node is a private storage space belonging to a user; b. the invention provides a CDN acceleration service control method and a control device based on a private cloud disk, wherein prestored data are distributed to a target node belonging to a private space of a user, and the target node downloads required prestored data from at least one target node after receiving a download request of the prestored data, so that the effect of acceleration service is achieved.
Description
Technical Field
The invention belongs to the field of cloud storage, and particularly relates to a CDN acceleration service control method and a CDN acceleration service control device based on a private cloud disk.
Background
With the continuous development of computer technology and network technology, the internet plays an indispensable role in life, study, work and scientific research of people, people almost all day need to complete various affairs through the internet to obtain various information, information or services provided by different websites are different, when a user needs to obtain news, the user needs to browse news websites, and when the user needs to purchase things, the user can browse special shopping websites.
At present, the internet has become a habit in people's life, and meanwhile, as the development of the network is more and more perfect, more users can store a lot of data or data on the network, such as various ways of cloud storage, network hard disk storage, etc., such a storage way can save the storage space in the local terminal, and at the same time can be called at any time in the network, thereby greatly improving the convenience of data storage or extraction, but as the number of users used is more and more, the stored content is increased, when the user access amount of a storage server is too large, the network is very easy to be blocked, or when the network speed of a user is slower, the data cannot be efficiently uploaded or downloaded.
With the development of the internet, users pay more attention to the browsing speed and effect of websites when using the network, but as the number of netizens increases, the network access path is too long, so that the access quality of users is seriously affected. Especially when the link between the user and the website is congested by sudden large flow data, the poor access quality is a problem to be solved for the areas where the users of the internet in different places increase rapidly
At present, there is no method in the market to solve the above problems, and in particular, there is a CDN acceleration service control method and control device based on a private cloud disk.
Disclosure of Invention
In view of the technical defects in the prior art, an object of the present invention is to provide a CDN acceleration service control method and a CDN acceleration service control device based on a private cloud disk, and according to an aspect of the present invention, a CDN acceleration service control method based on a private cloud disk is provided, which is used for data storage and acquisition of the private cloud disk, and includes the following steps:
a. the method comprises the steps that pre-stored data are issued to a target node, and the target node is a private storage space belonging to a user;
b. and after receiving a downloading request for calling the pre-stored data, downloading the pre-stored data from at least one target node.
Preferably, the download request is broadcast to a plurality of target nodes, and the target nodes storing the pre-stored data send feedback information.
Preferably, the download request is received by the target node by any one of the following:
a terminal sending out said download request;
and one terminal sends the downloading request to at least one central node, and the central node analyzes the downloading request and then sends the downloading request to the target node.
Preferably, the terminal is also a target node.
Preferably, the downloading the pre-stored data from at least one target node comprises the following steps:
b1. determining a target node most suitable for providing a data download service;
b2. and downloading the pre-stored data through the target node which is most suitable for providing the data downloading service.
Preferably, the step b1 includes the following steps:
b11. determining part or all of target nodes in which the pre-stored data are stored, and marking the target nodes as a set T;
b12. and selecting a target node closest to a terminal downloading the pre-stored data from the set T as the target node most suitable for providing the data downloading service.
Preferably, the step b11 includes the following steps:
b111. and taking part or all of the target nodes with the service life prediction values higher than the first threshold value and stored with the pre-stored data as the set T.
Preferably, any one of the following steps is further included:
b112. deleting the pre-stored data from the target node with the life prediction value not higher than a first threshold value; or
Marking the target node with the life prediction value not higher than the first threshold value as not containing the pre-stored data.
Preferably, the step a comprises the steps of:
a1. determining at least one target node;
a2. sending the pre-stored data to the target node;
wherein the predicted life value of the target node is higher than a first threshold.
Preferably, the lifetime prediction value is calculated based on any one or any plurality of the following:
-remaining read-write times of the target node;
-a battery consumption of the target node;
-read-write frequency of the target node; and
-the amount of free data storage space of the target node.
Preferably, the physical relationship between the target node and other nodes is any one of the following relationships:
-the target node is a separate storage device, and the storage device can communicate with the network; or
-the target node is part of the storage space in a server.
According to another aspect of the present invention, there is provided a CDN acceleration service control device based on a private cloud disk, including:
a first processing device: the method comprises the steps that pre-stored data are issued to a target node, and the target node is a private storage space belonging to a user;
a second processing device: and after receiving a downloading request for calling the pre-stored data, downloading the pre-stored data from at least one target node.
Preferably, the method further comprises the following steps:
the first determination means: determining a target node most suitable for providing a data download service;
a third processing device: and downloading the pre-stored data through the target node which is most suitable for providing the data downloading service.
Preferably, the method further comprises the following steps:
second determining means: determining part or all of target nodes in which the pre-stored data are stored, and marking the target nodes as a set T;
a fourth processing device: and selecting a target node closest to a terminal downloading the pre-stored data from the set T as the target node most suitable for providing the data downloading service.
Preferably, the method further comprises the following steps:
a fifth processing device: and taking part or all of the target nodes with the service life prediction values higher than the first threshold value and stored with the pre-stored data as the set T.
Preferably, the method further comprises the following steps:
a sixth processing device: deleting the pre-stored data from the target node with the life prediction value not higher than a first threshold value.
A seventh processing device: and marking the target nodes of which the life prediction values are not higher than a first threshold value as not containing the pre-stored data.
Preferably, the method further comprises the following steps:
third determining means: determining at least one target node;
an eighth processing device: and sending the pre-stored data to the target node.
The invention provides a CDN acceleration service control method and a control device based on a private cloud disk, which are used for achieving the effect of acceleration service by distributing prestored data to target nodes belonging to a private space of a user, and downloading the required prestored data from at least one target node after the target nodes receive downloading requests of the prestored data.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flowchart illustrating a CDN acceleration service control method based on a private cloud disk according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a specific process of downloading the pre-stored data from at least one target node after receiving a download request for retrieving the pre-stored data according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a specific process of determining a target node most suitable for providing a data download service according to a second embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a specific process of determining a target node storing part or all of the pre-stored data according to a third embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a specific process of determining a target node storing part or all of the pre-stored data according to a fourth embodiment of the present invention;
fig. 6 is a schematic specific flowchart of a fifth embodiment of the present invention, illustrating a process of issuing pre-stored data into a target node, where the target node is a private storage space owned by a user; and
fig. 7 is a schematic block diagram illustrating a private cloud disk-based CDN acceleration service control device according to another embodiment of the present invention.
Detailed Description
In order to better and clearly show the technical scheme of the invention, the invention is further described with reference to the attached drawings.
Fig. 1 shows a specific flowchart of a CDN acceleration service control method based on a private cloud disk according to an embodiment of the present invention, which specifically includes the following steps:
firstly, step S101 is entered, pre-stored data is issued to a target node, the target node is a private storage space belonging to a user, the pre-stored data is cached to the target node, the target node is a site resource directly provided for the user to access, the target node is composed of one or more servers, the target node belongs to the private storage space of the user, the private storage space and the user sign a key agreement, and the user can access the target node only by key permission.
Further, the pre-stored data is delivered to different target nodes according to different storage types, such as size, data type, data quantity, and the like of the pre-stored data, the one or more target nodes respectively correspond to one or more servers, a user can classify and name the one or more target nodes according to actual needs or preferences of the user, the pre-stored data is classified into the target nodes according to the classification or naming of the target nodes when the pre-stored data is delivered to the target nodes, and those skilled in the art understand that the pre-stored data can be stored in one target node or in a plurality of target nodes.
Further, one or more target nodes for issuing the pre-stored data select a server closest to the user IP to store the pre-stored data according to the user IP address, and those skilled in the art understand that the storage server in the private cloud disk is divided into one or more target nodes, the target node is a storage server, and the one or more target nodes are distributed in each domain, and when the user stores the pre-stored data, the one or more target nodes closest to the IP are determined according to the current IP of the user, and the pre-stored data is stored in a server of the one or more target nodes closest to the IP.
Further, an area load balancing device is arranged in the private cloud disk, and the area load balancing device intelligently stores the pre-stored data into the most appropriate target node according to factors such as file size and file type pre-stored by the user.
And finally, step S102 is carried out, after a downloading request for calling the pre-stored data is received, the pre-stored data is downloaded from at least one target node, a downloading request for calling the pre-stored data is sent to the private cloud disk through a terminal, and after the private cloud disk receives the downloading request for calling the pre-stored data sent by the terminal, the private cloud disk downloads the pre-stored data in one or more pre-stored nodes closest to the terminal IP into the terminal according to the current IP address of the terminal.
Further, the download request is broadcasted to a plurality of target nodes, the target nodes storing the pre-stored data send feedback information, and those skilled in the art understand that the private cloud disk broadcasts the download request of the terminal to the plurality of target nodes, the plurality of target nodes obtain in the storage server whether there is stored data matching the download request, the private cloud disk sends request data to one or more target nodes matching the download request, and the target nodes storing the pre-stored data send feedback data to the private cloud disk.
Further, the download request is received by the target node by any one of: a terminal sending out said download request; and one terminal sends the downloading request to at least one central node, and the central node analyzes the downloading request and then sends the downloading request to the target node, wherein the downloading request sent by the one terminal is that a user sends the downloading request to the private cloud disk through the terminal, or sends the downloading request to the private cloud disk through a mobile terminal.
Furthermore, a terminal sends the download request to at least one central node, the central node analyzes the download request and then sends the download request to the target nodes, and those skilled in the art understand that the private cloud disk summarizes one or more target nodes by taking each domain as a unit according to different regions to establish the central node, the terminal sends the download request to at least one central node, the central node analyzes the download request, matches the target nodes adapted to the download request in the target nodes in the central node, and sends the download request to one or more target nodes in the central node.
Further, the terminal is also a target node, and those skilled in the art understand that the terminal may also be a target node, for example, a company has multiple terminals, and the multiple terminals may all share each other and form a local area network, and when one of the terminals needs to send a download request, the target node corresponding to the download request is matched in the local area network, and the target node may be understood as another terminal in the local area network.
Fig. 2 is a schematic diagram illustrating a specific process of downloading the pre-stored data from at least one target node after receiving a download request for retrieving the pre-stored data according to a first embodiment of the present invention, specifically, the method includes the following steps:
firstly, step S201 is entered, a target node most suitable for providing a data download service is determined, when the terminal sends a download request to the private cloud disk, the private cloud disk determines the target node most suitable for providing the data download service based on an operating environment of the terminal, where the operating environment of the terminal includes a network state of the terminal, an operating speed of the terminal, an IP address of the terminal, and the like, and the private cloud disk determines the target node most suitable for providing the data download service according to the network state of the terminal, the operating speed of the terminal, the IP address of the terminal, and other factors, such as a data interaction channel fluency of the target node is highest and a domain of the target node is closest to the IP address of the terminal.
In a preferred embodiment, the IP address of the terminal is a C area in B city, province a, city a, province a, when the terminal sends a download request to the cloud storage, the private cloud disk matches a target node adapted to the download request among all target nodes according to the download request, and after one or more target nodes adapted to the download request are obtained, a target node closest to the IP address of the terminal is determined according to the IP address of the terminal, where the target node is a target node providing a data download service.
Finally, step S202 is performed, the target node most suitable for providing the data download service downloads the pre-stored data, and after the private cloud disk determines a target node most suitable for providing the data download service from the one or more target nodes matched with the download request, the private cloud disk provides the pre-stored data to the terminal of the download request through the target node.
Fig. 3 is a schematic flowchart illustrating a specific process of determining a target node most suitable for providing a data download service according to a second embodiment of the present invention, which specifically includes the following steps:
firstly, step S301 is proceeded to determine all or part of the target nodes storing the pre-stored data, mark the target nodes as a set T, in such an embodiment, the user sends a download request message to the private cloud disk through the terminal, the private cloud disk matches one or more target nodes which are adapted to the content of the download request information in the one or more target nodes based on the download request information, and marking one or more target nodes adapted to the content of the download request information, and finally grouping the marked one or more target nodes into a set, preferably, one or more target nodes within the set also carry node information that is appropriate for the one or more target nodes within the set, the node information includes information such as a domain name, a storage space, and channel traffic of the node.
Finally, step S302 is performed, and a target node closest to a terminal downloading the pre-stored data is selected from the set T as the target node most suitable for providing the data downloading service, and it is understood by those skilled in the art that after the one or more target nodes are categorized into a set, the target node is ranked according to a distance between the one or more target nodes and the terminal, that is, a distance between a domain of the one or more target nodes and an IP of the terminal, and a target node closest to the IP of the terminal and a domain of the one or more target nodes in the set is selected as the target node most suitable for providing the data downloading service.
Fig. 4 is a schematic flowchart illustrating a specific process of determining a target node in which part or all of the pre-stored data is stored according to a third embodiment of the present invention, and specifically includes the following steps:
firstly, step S401 is entered, and a target node with a lifetime prediction value higher than a first threshold value and partially or totally storing the pre-stored data is taken as the set T, in such an embodiment, the lifetime prediction value of one or more target nodes in the set T must be higher than the first threshold value, the lifetime prediction includes but is not limited to the remaining read-write times of the target node, the battery consumption of the target node, the read-write frequency of the target node, and the amount of free data storage space of the target node, it is understood by those skilled in the art that, when the target node is provided with a limit of the read-write times, the first threshold value is set according to its specific read-write times and the remaining number of the read-write times, for example, the read-write times of the target node is 10 times, and the first threshold value of the remaining read-write times of the target node is 1 time, if the remaining number of times of reading and writing of the target node is higher than or equal to a first threshold, the private cloud disk puts the target node into the set T, otherwise, if the remaining number of times of reading and writing of the target node is smaller than the first threshold, the target node is not put into the set T.
Further, the life prediction value further includes a battery consumption amount of the target node, in such an embodiment, when the target node belongs to a storage server maintained to operate by a battery, the private cloud disk sets the first threshold according to a remaining power amount of the target node, if the power amount of the target node is lower than 20%, the private cloud disk cannot provide a download service, that is, the first threshold may be set to a power amount of 20%, when the battery power amount of the target node is higher than the first threshold, the private cloud disk classifies the target node into the set T, otherwise, if the remaining battery power amount of the target node is lower than the first threshold, the target node is not classified into the set T.
Furthermore, the predicted life value further includes a read-write frequency of the target node, and if the read-write frequency of the target node is too high, a data transmission channel of the data node is likely to be blocked, and efficiency of data uploading or downloading is likely to be affected.
Further, the life prediction value further includes the amount of free data storage space of the target node, and it is understood by those skilled in the art that, when the free data storage space of the target node is smaller than the data size of the pre-stored data, the target node will not be classified into the set T, and the data size of the pre-stored data is the first threshold.
Finally, step S402 is executed to delete the pre-stored data from the target nodes whose predicted lifetime values are not higher than the first threshold, in such an embodiment, if the predicted lifetime values in the one or more target nodes are not higher than the first threshold, the one or more target nodes will not be able to be categorized in the set T, and thus the pre-stored data in the one or more target nodes that are not able to be categorized in the set T may be deleted.
Fig. 5 is a schematic flowchart illustrating a specific process of determining a target node in which part or all of the pre-stored data is stored according to a fourth embodiment of the present invention, specifically, the method includes the following steps:
those skilled in the art understand that step S501 in fig. 5 may refer to step S401 in fig. 4, which is not described herein again.
Finally, step S502 is performed, the target nodes whose lifetime prediction values are not higher than the first threshold are marked as not containing the pre-stored data, in such an embodiment, one or more target nodes whose lifetime prediction values are not higher than the first threshold are not categorized in the set T, and meanwhile, the mark of the data information matching the download request information in the one or more target nodes whose lifetime prediction values are not higher than the first threshold is deleted.
Those skilled in the art will understand that step S402 in fig. 4 and step S502 in fig. 5 may be performed synchronously, specifically, when the predicted lifetime value of the one or more target nodes is not higher than the first threshold, the pre-stored data in the one or more target nodes whose predicted lifetime value is not higher than the first threshold is deleted, and the flag matching with the download request information in the one or more target nodes which are not higher than the first threshold is eliminated.
Fig. 6 shows a detailed flowchart of a fifth embodiment of the present invention, in which pre-stored data is issued to a target node, where the target node is a private storage space owned by a user, and it is understood by those skilled in the art that fig. 6 is a sub-step of step S101 in fig. 1, and specifically includes the following steps:
firstly, step S1011 is entered to determine at least one target node, in such an embodiment, the terminal sends a storage request for pre-stored data through the private cloud disk, the private cloud disk determines at least one target node adapted to the terminal operating environment according to the terminal operating environment, the target node may be one or more, preferably, the private cloud disk may determine the target node based on the IP distance between the domain of the target node and the terminal, for example, the private cloud disk sets a threshold value, which is the distance between the terminal IP and the domain of the one or more target nodes, if the distance between the terminal IP and the domain of the one or more target nodes is smaller than the threshold value, the one or more target nodes are determined as the target node for the pre-stored data of the terminal, otherwise, and if the distance between the IP of the terminal and the domain of the one or more target nodes is greater than the threshold, the one or more target nodes greater than the threshold cannot be determined as target nodes of pre-stored data.
Finally, step S1012 is entered, the pre-stored data is sent to the target node, wherein the predicted value of the life of the target node is above a first threshold value, which, in such embodiments, the pre-stored data is released to one or more target nodes, the predicted life value of the target nodes is higher than the first threshold value, the lifetime prediction value preferably includes, but is not limited to, the remaining number of reads and writes of the target node, the battery consumption of the target node, the read and write frequency of the target node, and the amount of free data storage space of the target node, as will be understood by those skilled in the art, the private cloud disk integrates one or more target nodes to be stored with data and forms a set, by validating the life prediction value for the one or more target nodes in the set, and excluding one or more target nodes with the life prediction value lower than the first threshold value.
Fig. 7 is a schematic block connection diagram of a CDN acceleration service control device based on a private cloud disk according to another embodiment of the present invention, and those skilled in the art understand that the present invention provides a CDN acceleration service control device based on a private cloud disk, including: a first processing device: the method comprises the steps of issuing pre-stored data into a target node, wherein the target node is a private storage space belonging to a user, caching the pre-stored data into the target node, the target node is a site resource directly provided for the user to access, the target node is composed of one or more servers, the target node belongs to the private storage space of the user, the private storage space signs a key agreement with the user, the user can access the target node only through key permission, and the first processing device is connected with the second processing device and is respectively connected with the third determining device and the eighth processing device.
Further, the device also comprises a second processing device: after receiving a download request for calling the pre-stored data, downloading the pre-stored data from at least one target node, sending a download request for calling the pre-stored data to the private cloud disk through a terminal, after receiving the download request for calling the pre-stored data sent by the terminal, according to the current IP address of the terminal, the private cloud disk downloads the pre-stored data in one or more pre-stored nodes closest to the IP of the terminal into the terminal, and the second processing device is connected with the first processing device and the first determining device and the third processing device respectively.
Further, the method further comprises the first determining device: the method comprises the steps of determining a target node which is most suitable for providing data downloading service, when the terminal sends a downloading request to the private cloud disk, determining the target node which is most suitable for providing the data downloading service based on the running environment of the terminal, wherein the running environment of the terminal comprises the network state of the terminal, the running speed of the terminal, the IP address of the terminal and the like, determining the target node which is most suitable for providing the data downloading service according to the network state of the terminal, the running speed of the terminal, the IP address of the terminal and the like by the private cloud disk, and connecting the first determining device with the second processing device and the third processing device and connecting the second determining device and the fourth processing device respectively.
Further, the device also comprises a third processing device: downloading the pre-stored data through the target node most suitable for providing the data downloading service, after the target node most suitable for providing the data downloading service is determined in the one or more target nodes matched with the downloading request, the private cloud disk provides the pre-stored data to the terminal of the downloading request through the target node, and the third processing device is connected with the first determining device and the second processing device.
Further, the method further comprises a second determining device: determining target nodes partially or totally storing the pre-stored data, marking the target nodes as a set T, sending download request information to the private cloud disk through a terminal, matching one or more target nodes adapted to the content of the download request information in the one or more target nodes by the private cloud disk based on the download request information, marking the one or more target nodes adapted to the content of the download request information, and finally classifying the marked one or more target nodes into a set, wherein the second determining device is connected with the fourth processing device and the first determining device, and is respectively connected with the fifth processing device, the sixth processing device and the seventh processing device.
Further, the method also comprises a fourth processing device: selecting a target node closest to a terminal downloading the pre-stored data from the set T as the target node most suitable for providing the data downloading service, after the one or more target nodes are grouped into a set, sorting according to the distance between the one or more target nodes and the terminal, that is, the distance between the domain of the one or more target nodes and the IP of the terminal, and using the target node closest to the IP of the terminal and the domain of the one or more target nodes in the set as the target node most suitable for providing the data downloading service, wherein the fourth processing device is connected to the second determining device and the first determining device.
Further, the device also comprises a fifth processing device: and taking a target node with a service life prediction value higher than a first threshold value, wherein part or all of the target nodes are stored with the pre-stored data, the service life prediction values of one or more target nodes in the set T are necessarily higher than the first threshold value, the service life prediction includes but is not limited to the number of remaining read-write times of the target node, the battery consumption of the target node, the read-write frequency of the target node and the amount of free data storage space of the target node, and the fifth processing device pre-connects the second determining device, the sixth processing device and the seventh processing device.
Further, the device also comprises a sixth processing device: deleting the pre-stored data from the target nodes whose predicted life values are not higher than a first threshold, if the predicted life values in the one or more target nodes are not higher than the first threshold, the one or more target nodes cannot be classified into the set T, and thus the pre-stored data in the one or more target nodes that cannot be classified into the set T can be deleted, where the sixth processing device is connected to the second determining device, the fifth processing device, and the seventh processing device.
Further, the device also comprises a seventh processing device: marking the target nodes with the life prediction values not higher than the first threshold as not containing the pre-stored data, not including the target node with the life prediction values not higher than the first threshold into the set T, and deleting the mark of the data information matched with the download request information in the target nodes with the life prediction values not higher than the first threshold, wherein the seventh processing device is connected with the second determining device, the fifth processing device and the sixth processing device.
Further, a third determining device is included: the method comprises the steps of determining at least one target node, sending a storage request of pre-stored data by the terminal through the private cloud disk, determining at least one target node which is adaptive to the terminal operation environment according to the terminal operation environment by the private cloud disk, wherein the target node can be one or more, determining the target node according to the IP distance between the terminal and the domain of the target node by the private cloud disk, and connecting the third determining device with the first processing device and the eighth processing device.
Further, the method also comprises an eighth processing device: and issuing the pre-stored data into the target node, issuing the pre-stored data into one or more target nodes, wherein a life prediction value of the target node must be higher than the first threshold, the life prediction value preferably includes, but is not limited to, a remaining number of read/write times of the target node, a battery consumption amount of the target node, a read/write frequency of the target node, and an amount of free data storage space of the target node, and the eighth processing device is connected to the first processing device and the third determining device.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes and modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention.
Claims (11)
1. A CDN acceleration service control method based on a private cloud disk is used for data storage and acquisition of the private cloud disk, and is characterized by comprising the following steps:
a. the method comprises the steps that pre-stored data are issued to a target node, and the target node is a private storage space belonging to a user;
b. after receiving a download request for calling the pre-stored data, downloading the pre-stored data from at least one target node,
the downloading of the pre-stored data from at least one target node comprises the steps of:
b1. determining a target node most suitable for providing a data download service;
b2. downloading the pre-stored data through the target node most suitable for providing the data downloading service,
wherein, the step b1 comprises the following steps:
b11. determining a target node partially or completely storing the pre-stored data, and marking the target node as a set T;
b12. selecting a target node closest to a terminal downloading the pre-stored data from the set T as the target node most suitable for providing the data downloading service,
wherein, the step b11 comprises the following steps:
b111. and taking part or all of the target nodes with the service life prediction values higher than the first threshold value and stored with the pre-stored data as the set T.
2. The control method according to claim 1, wherein the download request is broadcast to a plurality of target nodes, and the target nodes storing the pre-stored data send feedback information.
3. The control method according to claim 1 or 2, characterized in that the download request is received by the target node by any one of the following means:
a terminal sending out said download request;
and one terminal sends the downloading request to at least one central node, and the central node analyzes the downloading request and then sends the downloading request to the target node.
4. A control method according to claim 3, characterized in that said terminal is also a target node.
5. The control method according to claim 1, characterized by further comprising any one of the following steps:
b112. deleting the pre-stored data from the target node with the life prediction value not higher than a first threshold value; or
Marking the target node with the life prediction value not higher than the first threshold value as not containing the pre-stored data.
6. The control method according to claim 1 or 2 or 4 or 5, wherein the step a comprises the steps of:
a1. determining at least one target node;
a2. sending the pre-stored data to the target node;
wherein the predicted life value of the target node is higher than a first threshold.
7. The control method according to claim 1, wherein the lifetime prediction value is calculated based on any one or any plurality of the following:
-remaining read-write times of the target node;
-a battery consumption of the target node;
-read-write frequency of the target node; and
-the amount of free data storage space of the target node.
8. The control method according to claim 1 or 2 or 4 or 5 or 7, wherein the physical relationship of the target node and other nodes is any one of the following relationships:
-the target node is a separate storage device, and the storage device can communicate with the network; or
-the target node is part of the storage space in a server.
9. A CDN acceleration service control device based on a private cloud disk, which employs the control method of any one of claims 1 to 8, characterized by comprising:
first treatment device (1): the method comprises the steps that pre-stored data are issued to a target node, and the target node is a private storage space belonging to a user;
second treatment device (2): after receiving a downloading request for calling the pre-stored data, downloading the pre-stored data from at least one target node;
wherein, still include:
first determination means (21): determining a target node most suitable for providing a data download service;
third processing device (22): downloading the pre-stored data through the target node which is most suitable for providing the data downloading service;
wherein, still include:
second determination means (211): determining a target node partially or completely storing the pre-stored data, and marking the target node as a set T;
fourth processing means (212): selecting a target node closest to a terminal downloading the pre-stored data from the set T as the target node most suitable for providing the data downloading service,
wherein, still include:
fifth processing device (2111): and taking part or all of the target nodes with the service life prediction values higher than the first threshold value and stored with the pre-stored data as the set T.
10. The control device according to claim 9, characterized by further comprising:
sixth processing means (2112): deleting the pre-stored data from the target node with the life prediction value not higher than a first threshold value;
seventh processing means (2113): and marking the target nodes of which the life prediction values are not higher than a first threshold value as not containing the pre-stored data.
11. The control device according to claim 10, characterized by further comprising:
third determination means (11): determining at least one target node;
eighth processing device (12): and sending the pre-stored data to the target node.
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| CN116595007B (en) * | 2023-05-23 | 2024-07-02 | 建材广州工程勘测院有限公司 | Geotechnical engineering geological data management system |
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