KR102180472B1 - Method and Apparatus of Managing Cache Data - Google Patents

Abstract

According to an embodiment of the present invention, in a method for managing cache data, measuring network performance between a device connected to a plurality of cloud servers and a plurality of cloud servers, respectively, based on the measured network performance, stored in a plurality of cloud servers. It provides a method comprising the step of determining a ratio of the amount of data stored as cache data among the total amount of data for each of a plurality of cloud servers.

Description

[Method and Apparatus of Managing Cache Data}

The present invention relates to a method for managing data of a device, and more particularly, to a method and an apparatus for managing data by a device connected to a cloud server.

With the development of cloud network technology and mobile device technology, a number of services such as Google Drive and Dropbox have emerged that can store and execute user data in a mobile device in a cloud server. In addition, a number of applications to manage and run files stored in the cloud server have also appeared.

1 is a diagram showing a relationship between a general cloud server and devices. Referring to FIG. 1, a cloud server communicates with various devices such as a computer, a mobile phone, and a tablet through a network. In addition, the cloud server may include a server through which a user can store data.

The user can store the user's data stored in the device in the cloud server, and if necessary, can receive, use, and execute the user's data in the cloud server. The cloud server and the device share data in the device with the cloud by synchronizing.

In general, users use multiple cloud servers through devices. However, each cloud server has a different data storage policy, and the total amount of data held by the user is getting larger than the storage space of the device, so there is a problem that data cannot be quickly provided to the user only by the synchronization method of the device and the cloud. .

An embodiment of the present invention provides a method and apparatus for managing data of a device connected to a cloud server.

According to an embodiment of the present invention for solving the problems of the prior art as described above, there is provided a method for managing cache data, comprising: measuring network performance between a device connected to a plurality of cloud servers and a plurality of cloud servers, respectively; And determining, for each of the plurality of cloud servers, a ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers based on the measured network performance.

Preferably, the method further includes storing the cache data based on the determined ratio and the cache storage policy.

Preferably, the cache storage policy includes at least one of a cache data storage space of the device, a storage number of cache data of the device, and information on a cache data storage standard of the device.

Preferably, the method further comprises deleting the stored cache data.

The step of deleting the stored cache data may further include sequentially deleting cache data having a small ratio of the amount of data stored as cache data among the total amounts of data stored in the plurality of cloud servers.

Preferably, the method further comprises generating a cache list for the stored cache data.

The step of determining the ratio for each of the plurality of cloud servers preferably includes determining the ratio to be inversely proportional to the measured network performance.

The step of measuring the network performance between the plurality of cloud servers and the device, respectively, preferably includes measuring network speeds between the plurality of cloud servers and the device, respectively.

Preferably, the method further includes determining a size of a cache data storage space of the device based on the network capability.

Preferably, the method further includes allocating, for each of the plurality of clouds, a cache data storage space of the device based on the network performance.

In the step of measuring the network performance between the plurality of cloud servers and the devices, respectively, it is preferable to measure the network performance between the plurality of cloud servers and the device at each predetermined time interval.

An embodiment of the present invention provides a computer-readable recording medium in which a program for implementing the method is recorded.

According to an embodiment of the present invention for solving the problems of the prior art as described above, there is provided a cache data management apparatus, comprising: a network performance measurement unit that measures network performance between a device connected to a plurality of cloud servers and a plurality of cloud servers; And a cache ratio determination unit configured to determine a ratio of the amount of data stored as cache data among the total amounts of data stored in the plurality of cloud servers, based on the measured network performance, for each of the plurality of cloud servers. desirable.

Preferably, the device further includes a cache data management unit that stores the cache data in a cache storage unit based on the determined ratio and a cache storage policy.

Preferably, the cache storage policy includes at least one of a cache data storage space of the device, a storage number of cache data of the device, and information on a cache data storage standard of the device.

It is preferable that the cache data management unit deletes the stored cache data.

It is preferable that the cache data management unit sequentially delete cache data having a small ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers.

It is preferable that the apparatus further includes a cache list generation unit that generates a cache list for the stored cache data.

It is preferable that the cache ratio determiner determines the ratio so as to be in inverse proportion to the measured network performance.

Preferably, the network performance measurement unit measures network speeds between the plurality of cloud servers and devices, respectively.

Preferably, the apparatus further includes a cache storage space determining unit that determines a cache data storage space of the device based on the network performance.

Preferably, the apparatus further includes a cache storage space allocation unit that allocates a cache data storage space of the device for each of the plurality of clouds, based on the network performance.

Preferably, the network performance measuring unit measures network performance between a plurality of cloud servers and devices at predetermined time intervals.

In an embodiment of the present invention, a device connected to a cloud server may quickly provide data to a user.

1 is a diagram showing a relationship between a general cloud server and devices.
2 is a diagram illustrating a system between a plurality of cloud servers and devices according to an embodiment of the present invention.
3 is a flowchart of a method for a device to manage cache data according to an embodiment of the present invention.
4 is a diagram showing the structure of an apparatus for managing cache data according to an embodiment of the present invention.
5 is a diagram illustrating a method of managing data according to network performance according to an embodiment of the present invention.
6 is a diagram for describing a method for allocating a storage space of a device according to an embodiment of the present invention.
7 is a diagram for explaining a method of deleting cache data of a device according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part is said to be connected to another part, this includes not only the case where it is directly connected, but also the case where it is electrically connected with another element interposed therebetween. In addition, when a certain part includes a certain component, it means that other components may be further included, rather than excluding other components unless specifically stated to the contrary.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

2 is a system diagram for explaining a relationship between a plurality of cloud servers 201 to 205 and a device 207 according to an embodiment of the present invention.

According to an embodiment of the present invention, the device 207 is connected to the first cloud server 201, the second cloud server 203, and the third cloud server 205 through a network. That is, the device 207 may communicate with a plurality of cloud servers 201 to 205. A user of the device 207 may use the first cloud server 201, the second cloud server 203, and the third cloud server 205 connected to the device 207.

According to an embodiment of the present invention, the device 207 may include any device capable of communicating with a cloud server, such as a mobile phone, a tablet, a computer, and a smart phone, and is not limited to the above example.

According to an embodiment of the present invention, the cloud servers 201 to 205 may include all types of servers, and in particular, may include a server through which a user can store data.

According to an embodiment of the present invention, the device 207 may store data in a plurality of cloud servers 201 to 205. According to an embodiment of the present invention, data that the device 207 stores in the plurality of cloud servers 201 to 205 may be the same data or different data.

According to an embodiment of the present invention, the device 207 may receive data from a plurality of cloud servers 201 to 205. That is, when data stored in the plurality of cloud servers 201 to 205 is required, the device 207 receives data stored in the plurality of cloud servers 201 to 205 or executes the stored data based on a user's input. One result can be received.

Further, according to an embodiment of the present invention, the device 207 may store data in a storage space of the device. That is, the data stored by the device 207 in the plurality of cloud servers 201 to 205 may be the same data or different data as the data stored in the storage space of the device 207.

According to an embodiment of the present invention, data may include a file. That is, according to an embodiment of the present invention, data may include data in a file format.

According to an embodiment of the present invention, the device 207 may perform synchronization with each of the plurality of cloud servers 201 to 205. Synchronization is a matter that is obvious to those skilled in the art, so detailed descriptions are omitted.

According to an embodiment of the present invention, the device 207 generates and stores cloud data, which is data for identifying data stored in the plurality of cloud servers 201 to 205, in the device 207. That is, the device 207 may manage data stored in the cloud servers 201 to 205 by using cloud data. Hereinafter, for convenience of description, data stored in the cloud servers 201 to 205 may be referred to as original data and cache data may be referred to as copy data.

According to an embodiment of the present invention, cloud data may include dummy data and cache data.

According to an embodiment of the present invention, the dummy data is data stored in the device 207, and the actual data size is 0, and the cloud servers 201 to 205 are It may include information such as the path, location, and type of the original data, which is the data stored within. Of course, according to an embodiment of the present invention, dummy data need not have an actual data size of 0. That is, it is not limited to the above example.

According to an embodiment of the present invention, when an a.jpg file exists in the cloud servers 201 to 205, a dummy file for a.jpg may exist in the device. The dummy file for a.jpg is not the same file as a.jpg, and the actual data size may be 0 or may have a data size smaller than a.jpg. In addition, the dummy file for a.jpg may include information on which cloud server a.jpg is stored as property information, and the size and type of the actual a.jpg file.

According to an embodiment of the present invention, the dummy data may include metadata or data generated in the form of metadata.

According to an embodiment of the present invention, the cache data is data stored in the device 207, and may mean copy data having the same contents as the original data stored in the cloud servers 201 to 205. That is, the cache data may mean data for quickly providing data to a user of the device 207.

For example, when an a.jpg file exists in the cloud servers 201 to 205, a cache file for a.jpg may exist in the device 207. The cache file for a.jpg may be a file including the same data as a.jpg or a file including only partial data of a.jpg. When the device 207 needs to execute the a.jpg file based on the user input, the device 207 does not need to receive the a,jpg file from the cloud servers 205 to 207, and the stored cache file a.jpg You can run the file right away. When the device 207 stores only some data, only the data of the portion not stored by the device 207 may be received from the cloud servers 201 to 205. In addition, the cache file of a.jpg may include information on which cloud server a.jpg is stored as attribute information, and the size and type of the actual a.jpg file.

According to an embodiment of the present invention, the cache data may include metadata or data generated in the form of metadata.

According to an embodiment of the present invention, the cache storage policy may include information on at least one of information on the size of the cache data storage space of the device, the number of cache data storage of the device, and information on the cache data storage criteria of the device. I can.

According to an embodiment of the present invention, the information on the cache data storage criteria of the device 207 is whether the data received from the cloud servers 201 to 205 is stored as cache data according to the order in which the data is received, or the cloud server ( 201 to 205), and information on whether to store cache data based on the capacity of the data stored in the data storage unit 201 to 205, but is not limited to the above examples.

According to an embodiment of the present invention, the device 207 stores some of the data stored in the plurality of cloud servers 201 to 205 as cache data in the device 207, thereby increasing the hit rate of the cache data and providing a fast You can provide data.

In addition, according to an embodiment of the present invention, when the device 207 communicates with the plurality of cloud servers 201 to 205, cache data may be stored based on network performance.

According to an embodiment of the present invention, there may be a difference in network performance between the cloud servers 201 to 205 and the device 207. That is, the network environment between the device 207 and the first cloud server 201, the network environment between the device 207 and the second cloud server 203, and the network environment between the device 207 and the third cloud server 205 It can be different. When the network environment between the first cloud server 201 and the device 207 is better than the network environment between the second cloud server 203 and the device 207, for example, the first cloud server 201 and the device ( When the network speed between the second cloud server 203 and the device 207 is higher than the network speed between the second cloud server 203 and the device 207, the device 207, in order to use the data stored in the second cloud server 203, the first cloud server ( It takes longer than when using the data stored in 201). Therefore, storing the data stored in the second cloud server 203 as cache data in the device rather than the data stored in the first cloud server 201 can be a method for the device 207 to quickly provide data to the user. have.

Also, according to an embodiment of the present invention, a ratio of storing data stored in each cloud server as cache data in the device may be determined based on network performance between a plurality of cloud servers and devices. In other words, the cache data storage space can be allocated for each cloud server.

In addition, according to an embodiment of the present invention, the size of the cache data storage space of the device may be determined based on network performance between a plurality of cloud servers and devices. This will be described in detail in FIGS. 3 to 7.

Further, according to an embodiment of the present invention, the performance of the network may include the speed of the network. In addition, according to an embodiment of the present invention, the speed of the network may include a transmission speed of the network between the device and the cloud server.

3 is a flowchart of a method for a device to manage cache data according to an embodiment of the present invention.

In step S301, the device measures network performance between a device connected to a plurality of cloud servers and a plurality of cloud servers, respectively.

According to an embodiment of the present invention, a device connected to a plurality of cloud servers measures network performance with each cloud server, respectively. For example, the device may measure network performance with a first cloud server, and the device may measure network performance with a second cloud server, respectively. Of course, the network performance between the device and a plurality of cloud servers can be calculated on average.

In addition, according to an embodiment of the present invention, the network performance may be determined by measuring the response speed of the cloud server, the bandwidth, and the type of data communication used (wired, wireless, 3G, 4G, etc.).

According to an embodiment of the present invention, a device may measure a network speed between a plurality of cloud servers and devices, respectively. That is, network performance may include network speed.

Further, according to an embodiment of the present invention, the network speed may include a transmission speed between a device and a plurality of cloud servers.

In addition, according to an embodiment of the present invention, the device may measure the network performance between the plurality of cloud servers and the device at each predetermined time interval.

Additionally, according to an embodiment of the present invention, the device may measure the performance of the network whenever a change in the type of network through which the device communicates with a plurality of cloud servers occurs. For example, when a device is changed to communicate with a plurality of cloud servers through a 4G network while communicating with a plurality of cloud servers through a 3G network, network performance between the device and a plurality of cloud servers may be measured, respectively.

Also, according to an embodiment of the present invention, the device may measure the performance of the network based on various sensor values built into the device. The device can check the location or speed of the device through various sensors built into the device, and can measure the performance of the network when the location of the device is changed or exceeds a predetermined speed. The sensor embedded in the device may include an acceleration sensor, a GPS sensor, and the like, and is not limited to the above example.

In addition, each time the device receives a user input executing data, it can measure the network performance separately.

Additionally, according to an embodiment of the present invention, the device may measure network performance through a method of transmitting and receiving data generated by the device or data stored in the device to each of a plurality of cloud servers.

In step S303, the device determines, for each of the plurality of cloud servers, a ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers, based on the measured network performance. For example, the device may store only 20 MB of data of 100 MB stored in the first cloud server as cache data according to network performance. That is, the device may divide some of the data stored in the first cloud server and store it as cache data.

In addition, according to an embodiment of the present invention, the method of determining the ratio in step S303 may determine the ratio so as to be in inverse proportion to the network performance measured between the device and the plurality of cloud servers, respectively. Of course, the criterion for determining the ratio may be changed by the user's setting, and is not limited to the above example.

Additionally, according to an embodiment of the present invention, the device may determine the size of the cache data storage space of the device based on the network performance measured in step S301. That is, the size of the cache data storage space of the device may be determined based on the measured network performance or the average network performance measured between the device and the plurality of cloud servers. For example, when the network performance is lower than a predetermined standard, the device may allocate a cache storage space equal to or greater than a predetermined standard among the total storage space of the device.

Further, according to an embodiment of the present invention, the device may allocate a cache data storage space for each of the plurality of clouds based on the network performance measured in step S301.

For example, if the device's cache data storage space is set to 1000 MB, the device stores data stored in the first cloud server, which has better network performance than the second cloud server, as cache data, and the cache data storage space is only 300 MB. The remaining 700MB of cache data storage space may be allocated as a space for storing data stored in the second cloud server as cache data. That is, the device may differentially allocate a space for storing data stored in each cloud server as cache data in the device according to the measured network performance.

According to an embodiment of the present invention, the device may store cache data based on the ratio determined in step S303 and the cache storage policy of the device.

Also, according to an embodiment of the present invention, the cache storage policy may include information on a cache data storage space of a device, the number of cache data storage, and a cache data storage standard, and is not limited to the above example.

According to an embodiment of the present invention, the cache data storage criterion is whether the received data is stored as cache data according to the order in which data is received from the cloud servers 201 to 205, or the amount of data stored in the cloud servers 201 to 205. It may include information on whether to store cache data or the like, and is not limited to the above example.

Further, according to an embodiment of the present invention, a portion of the total amount of data stored in the plurality of cloud servers is stored as cache data in the first cache data storage space, which is a part of the cache data storage space, based on the ratio determined in step S303. , In a space other than the first cache data storage space, the entire amount of data received based on the order of receiving data from a plurality of cloud servers may be stored as cache data.

For example, the device stores data stored in one of the plurality of cloud servers in the first cache data storage space as cache data based on the ratio determined in step S303. That is, if the total amount of data is 100 MB, only 20 MB can be stored. In addition, the device may store all data stored in one of the plurality of cloud servers in a space other than the first cache data storage space. That is, if the total amount of data is 50 MB, all 50 MB may be stored. In addition, the same data or different data may be stored in the remaining spaces excluding the first cache data storage space and the first cache data storage space according to the cache storage policy of the device.

According to an embodiment of the present invention, the device may delete stored cache data.

According to an embodiment of the present invention, the device may sequentially delete cache data having a small ratio of the amount of data stored in the device as cache data among the total amount of data stored in the cloud server.

In addition, according to an embodiment of the present invention, the device may delete the cache data in the order in which the amount of data stored as cache data is small, or may delete the cache data based on the order received from the cloud server. Also, depending on which cloud server the original data is stored on, the cache data, which is the copy data, can be deleted.

Additionally, according to an embodiment of the present invention, the device may generate a cache list for stored cache data. Additionally, the cache list may include a list or information on dummy data. It is also possible to create a separate list of dummy data.

4 is a diagram showing the structure of an apparatus 400 for managing cache data according to an embodiment of the present invention.

According to an embodiment of the present invention, the cache data management apparatus 400 includes a cache ratio determination unit 401, a network performance measurement unit 403, a cache data management unit 405, a transmission/reception unit 407, and a cache storage unit 409. ).

According to an embodiment of the present invention, the cache ratio determination unit 401 is based on the network performance measured by the network performance measurement unit 403, the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers. The ratio of may be determined for each of the plurality of cloud servers.

According to an embodiment of the present invention, the cache ratio determination unit 401 may determine a ratio of the amount of data stored as cache data among the total amount of data stored in the cloud server in inverse proportion to the measured network performance.

For example, if the transfer speed between the first cloud server and the device is 2MB/s, and the transfer speed between the second cloud server and the device is 4MB/s, the device has 4MB of data with a total amount of 10MB stored in the first cloud server. It is possible to determine a ratio so that the data is divided and stored as cache data in the device, and the total amount of data stored in the second cloud server is divided by 2 MB and stored as cache data in the device.

According to an embodiment of the present invention, the cache ratio determination unit 401 may determine the ratio based on the total amount of data stored in each cloud server.

According to an embodiment of the present invention, the network performance measurement unit 403 may measure network performance between a plurality of cloud server-connected devices and a plurality of cloud servers, respectively.

Further, according to an embodiment of the present invention, the network performance measurement unit 403 may measure network speeds between a plurality of cloud servers and devices, respectively.

According to an embodiment of the present invention, the network speed may include a transmission speed between a device and a cloud server.

Additionally, according to an embodiment of the present invention, the network performance measurement unit 403 may measure network performance between a plurality of cloud servers and devices at predetermined time intervals, respectively. In addition, as described in FIG. 3, the device may measure the performance of the network whenever a change in the type of network that the device communicates with a plurality of cloud servers occurs, and based on various sensor values in the device, You can also measure performance.

According to an embodiment of the present invention, the cache data management unit 405 may store cache data in a cache storage unit (not shown) based on a ratio and a cache storage policy determined by the cache ratio determination unit 401. In addition, the cache data management unit 405 may create, store, and manage a cache storage policy of the device.

According to an embodiment of the present invention, the cache storage policy includes at least one of a cache data storage space of the device, a cache data storage number of the device, a cache file storage number, and information on a cache data storage standard of the device. Can be, and is not limited to the above example. Information on the cache data storage standard is as described in FIGS. 2 to 3.

According to an embodiment of the present invention, the cache data management unit 405 may delete stored cache data.

In addition, according to an embodiment of the present invention, the cache data management unit 405 may sequentially delete cache data having a small ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers.

For example, when the storage space for cache data in the device is insufficient, the cache data management unit 405 stores cache data in which 2% of the total amount of data stored in the cloud server is stored among the cache data in the device. You can first delete the cache data where 4% of the total amount of is stored.

In addition, according to an embodiment of the present invention, it may be deleted based on the total amount of original data, which is data stored in the cloud server. Also, based on the network speed measured by the network performance measurement unit 401, cache data for each cloud server may be deleted.

When the network performance measured between the first cloud server and the device is better than the network performance measured between the other cloud servers and the device, the cache data management unit 405 is stored based on the data stored in the first cloud server among the cache data stored in the device. You can delete cache data.

In addition, according to an embodiment of the present invention, the cache data management unit 405 includes the first cache data storage space, which is a part of the cache data storage space, in the plurality of cloud servers based on the ratio determined by the cache ratio determination unit 401. Some of the total amount of stored data may be stored as cache data, and the entire amount of data received may be stored as cache data in a space other than the first cache data storage space based on the order in which data is received from a plurality of cloud servers. . This is the same as described in FIG. 3.

According to an embodiment of the present invention, the transmission/reception unit 407 may transmit and receive data with at least one of a plurality of cloud servers. That is, the transmission/reception unit 407 may receive data stored in a plurality of cloud servers or may transmit data stored in a device to store data in a plurality of cloud servers.

According to an embodiment of the present invention, a device may include a cache storage unit 409. According to an embodiment of the present invention, the cache data storage space may mean a total capacity and size that the cache storage unit 409 can store.

Additionally, according to an embodiment of the present invention, the cache data management apparatus 400 may further include a cache storage space determination unit (not shown), a cache storage space allocation unit (not shown), and a cache list generation unit (not shown). have.

According to an embodiment of the present invention, the cache storage space determiner (not shown) may determine the cache data storage space of the device based on the measured network performance. That is, the cache storage space determiner (not shown) may determine a cache data storage space that is the size of the cache storage unit 409 among the storage spaces of the device.

In addition, according to an embodiment of the present invention, the cache storage space allocator (not shown) may allocate a cache data storage space to each of a plurality of clouds based on network performance.

Additionally, according to an embodiment of the present invention, the cache list generator (not shown) may generate and manage a list of cache data stored in the cache storage unit 409. Of course, you can create and manage a list of cloud data, and you can separately create and manage a list of dummy data.

According to an embodiment of the present invention, the control unit 411 may control all components included in the device 400 and may include an operation unit such as a central control unit, but is not limited to the above example.

5 is a diagram illustrating a method of managing data according to network performance according to an embodiment of the present invention.

Referring to FIG. 5, the device 507 is a first cloud server 501 and a second cloud server 503. It is connected to the third cloud server 505 through a network.

According to an embodiment of the present invention, the network between the device 507 and each of the cloud servers 501 to 505 is not limited. For example, the device 607 and the first cloud server 501 may be connected through a wired network or a wireless network.

According to an embodiment of the present invention, the device 507 may measure network performance between the first cloud server 501 and the device 507. As an embodiment, network performance may be determined based on the speed of the network. Also, the network speed may include the transmission speed. In addition, the device 507 may also measure network performance between the second cloud server 503 and the third cloud server 505 and the device 507.

5, a first cloud server 501 stores first data, a second cloud server 503 stores second data, and a third cloud server 505 stores third data. Are doing.

According to an embodiment of the present invention, the device 507 determines a ratio of the amount of data stored as cache data in the device among the total amount of data stored in each cloud server 501 to 503, based on the measured network performance. You can decide.

For example, the transfer speed between the first cloud server 501 and the device 507 is 2MB/s, the transfer speed between the second cloud server 503 and the device 507 is 3MB/s, and the third cloud server 505 ) The transfer rate between the device 507 and the device 507 is 5 MB/s, and assuming that the first data, the second data, and the third data all have a total amount of 100 MB, the device stores the first data as cache data. 50%, a rate of storing the second data as cache data may be determined as 30%, and a rate of storing the third data as cache data may be determined as 20%.

That is, the amount of data of data A 509 stored in the device 507 as cache data of the first data is 50 MB, the amount of data of data B 511 stored as cache data of the second data is 30 MB, and the third data is The amount of data of the data C 513 stored as cache data of may be 20 MB.

Additionally, according to an embodiment of the present invention, the device 507 calculates the ratio of the amount of data stored as cache data in the device among the total amount of data stored in each cloud server 501 to 503, the measured network performance and the device. Can be determined based on the cache data storage space. In addition, according to an embodiment of the present invention, the ratio may be determined by further considering the total amount of data stored in each of the plurality of cloud servers.

According to an embodiment of the present invention, data may include at least one file. That is, data can mean a plurality of files or can mean a single file.

For example, assuming that the total size of the first data stored in the first cloud server 501 is 100 MB, and the ratio of storing the first data as cache data is 50%, 3 with sizes of 20 MB, 30 MB, and 50 MB When the file is composed of two files, 10MB which is a part of a 20MB file, 15MB which is a part of a 30MB file, and 25MB which is a part of a 50MB file can each be stored as cache data, and only one 50MB file can be stored as cache data.

According to an embodiment of the present invention, the device may select data to be stored as cache data based on a cache storage policy of the device.

6 is a diagram for describing a method for allocating a storage space of a device according to an embodiment of the present invention.

Referring to FIG. 6, the device includes a first cloud server 601 and a second cloud server 603. It is connected to the third cloud server 605 through a network.

According to an embodiment of the present invention, there is no limitation on the network between the device and each of the cloud servers 601 to 605.

6, the device has a cache data storage space 607 of a predetermined size, the first cloud server 601 stores first data, and the second cloud server 603 stores second data. Is stored, and the third cloud server 605 stores third data.

According to an embodiment of the present invention, the device may measure network performance between the first cloud server 601 and the device. As an embodiment, network performance may be determined based on the speed of the network. Also, the network speed may include the transmission speed. In addition, the device may measure network performance between the second cloud server 603 and the third cloud server 605 and the device.

According to an embodiment of the present invention, the device may measure network performance in consideration of the response speed of the cloud servers 601 to 605, the type of network, and the like.

According to an embodiment of the present invention, the device may allocate the cache data storage space 607 for each cloud server 601 to 605 based on the network performance between the respective cloud servers 601 to 605 and the device. For example, the cache data storage space 607 is 1000 MB, the transfer speed between the first cloud server 601 and the device is 2 MB/s, the transfer speed between the second cloud server 603 and the device is 3 MB/s, 3 Assuming that the transfer speed between the cloud server 605 and the device is 5MB/s, the device is 500MB 609, the second space for storing the first data as cache data in the device out of a total of 1000MB of cache data storage space. 300 MB 611 may be allocated as a space for storing data as cache data in the device and 200 MB 613 as a space for storing third data as cache data in the device.

Additionally, first data, second data, and third data are provided in the cache data storage space 609 for the first cloud server, the cache data storage space 611 for the second cloud server, and the cache data storage space 613 for the third cloud server, respectively. May be divided and stored. That is, the cache data storage method described in FIG. 5 may be used together with the method of allocating the cache data storage space 607 for each cloud server based on the network performance of FIG. 6.

In addition, according to an embodiment of the present invention, the cache data storage space 607 may be determined by a user's setting, and the cache data storage space 607 may be set based on network performance. For example, when the average network performance between the device and each cloud server is more than a predetermined standard, the cache data storage space may be set smaller than a predetermined size.

7 is a diagram illustrating a method of deleting cache data of a device according to an embodiment of the present invention.

According to an embodiment of the present invention, a device may have a predetermined cache data storage space. Therefore, if the cache data storage space is insufficient, the cache data can be deleted.

In step S701, the device checks whether the cache data storage space is sufficient. That is, if the device receives data stored in at least one of a plurality of cloud servers based on a user's input and needs to store the received data as cache data based on a cache storage policy, whether the cache storage space in the device remains? Check.

If the cache storage space remains, cache data can be stored as in step S803.

However, if there is no cache storage space remaining in the device, the cache data may be sequentially deleted from the cache data having a small ratio of the amount of data to be stored as cache data in step S805.

That is, as described with reference to FIG. 5, when the device stores original data stored in the cloud server as cache data in the device, the device may determine a ratio of the total amount of the original data and the amount of data stored as cache data. Therefore, when deleting the stored cache data, it can also be deleted based on a ratio determined by the device. Of course, the cache data to be deleted may be selected based on the network speed between the cloud server and the device in which the original data of the cache data is stored, or the cache data may be selected based on the amount of stored cache data. That is, the criteria for deleting cache data are not limited and can be changed according to the user's settings.

The device according to the present invention includes a processor, a memory for storing and executing program data, a permanent storage such as a disk drive, a communication port for communicating with an external device, a user interface such as a touch panel, keys, and buttons. Devices, etc. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, as a computer-readable recording medium, a magnetic storage medium (e.g., read-only memory (ROM), random-access memory (RAM), floppy disk, hard disk, etc.) and optical reading medium (e.g., CD-ROM ), and DVD (Digital Versatile Disc). The computer-readable recording medium is distributed over networked computer systems, so that computer-readable codes can be stored and executed in a distributed manner. The medium is readable by a computer, stored in memory, and executed on a processor.

All documents, including publications, patent applications, patents, etc., cited in the present invention may be incorporated into the present invention in the same manner as that each cited document is individually and specifically merged or shown as a whole in the present invention. .

For the understanding of the present invention, reference numerals are given in preferred embodiments shown in the drawings, and specific terms are used to describe the embodiments of the present invention, but the present invention is not limited by specific terms, and the present invention May include all components commonly conceivable to those skilled in the art.

The present invention can be represented by functional block configurations and various processing steps. These functional blocks may be implemented with various numbers of hardware or/and software configurations that perform specific functions. For example, the present invention provides integrated circuit configurations such as memory, processing, logic, and look-up tables, which can execute various functions by controlling one or more microprocessors or by other control devices. Can be adopted. Similar to how the components of the present invention can be implemented with software programming or software elements, the present invention includes various algorithms implemented with a combination of data structures, processes, routines or other programming constructs, including C, C++ , Java, assembler, or the like may be implemented in a programming or scripting language. Functional aspects can be implemented with an algorithm running on one or more processors. In addition, the present invention may employ the prior art for electronic environment setting, signal processing, and/or data processing. Terms such as mechanism, element, means, and configuration may be widely used, and are not limited to mechanical and physical configurations. The term may include a meaning of a series of routines of software in connection with a processor or the like.

The specific implementations described in the present invention are examples, and do not limit the scope of the present invention in any way. For brevity of the specification, descriptions of conventional electronic configurations, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connection or connection members of the lines between the components shown in the drawings exemplarily represent functional connections and/or physical or circuit connections, and in an actual device, various functional connections that can be replaced or additionally Connections, or circuit connections, may be represented. In addition, if there is no specific mention, such as essential, important, etc., it may not be a necessary component for the application of the present invention.

In the specification of the present invention (especially in the claims), the use of the above terms and similar designating terms may correspond to both the singular and the plural. In addition, when a range is described in the present invention, the invention to which an individual value falling within the range is applied (unless otherwise stated), and each individual value constituting the range is described in the detailed description of the invention. Same as Finally, if there is no explicit order or contrary to the steps constituting the method according to the present invention, the steps may be performed in a suitable order. The present invention is not necessarily limited according to the order of description of the steps. The use of all examples or illustrative terms (for example, etc.) in the present invention is merely for describing the present invention in detail, and the scope of the present invention is limited by the above examples or illustrative terms unless limited by the claims. It does not become. In addition, those skilled in the art can recognize that various modifications, combinations, and changes may be configured according to design conditions and factors within the scope of the appended claims or their equivalents.

Claims (23)

In the cache data management method of the cache data management device,
Measuring, by the cache data management apparatus, network performance between a device connected to a plurality of cloud servers and a plurality of cloud servers, respectively; And
The cache data management apparatus determining a ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers, for each of the plurality of cloud servers, based on the measured network performance. Method comprising the. The method of claim 1,
The above method,
And storing, by the cache data management device, the cache data based on the determined ratio and a cache storage policy. The method of claim 2,
Wherein the cache storage policy includes at least one of a cache data storage space of the device, a storage number of cache data of the device, and information on a cache data storage standard of the device. The method of claim 2,
The above method,
And deleting, by the cache data management device, the stored cache data. The method of claim 4,
The step of deleting the stored cache data,
And sequentially deleting cache data having a small ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers. The method of claim 2,
The above method is
And generating, by the cache data management device, a cache list for the stored cache data. The method of claim 1,
The step of determining the ratio for each of the plurality of cloud servers,
And determining the ratio to be inversely proportional to the measured respective network performance. The method of claim 1,
Measuring network performance between the plurality of cloud servers and devices, respectively,
And measuring network speeds between the plurality of cloud servers and devices, respectively. The method of claim 1,
The above method,
And determining, by the cache data management apparatus, a size of a cache data storage space of the device based on the network performance. The method of claim 1,
The above method,
And allocating, by the cache data management apparatus, a cache data storage space of the device for each of the plurality of clouds, based on the network performance. The method of claim 1,
Measuring network performance between a plurality of cloud servers and devices, respectively,
A method, characterized in that each measuring network performance between a plurality of cloud servers and devices at predetermined time intervals. In the cache data management device,
A network performance measurement unit for measuring network performance between a plurality of cloud servers and a device connected to the plurality of cloud servers, respectively; And
And a cache ratio determining unit configured to determine a ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers, based on the measured network performance, for each of the plurality of cloud servers. Device. The method of claim 12,
The device,
And a cache data management unit storing the cache data in a cache storage unit based on the determined ratio and a cache storage policy. The method of claim 13,
Wherein the cache storage policy includes at least one of a cache data storage space of the device, a storage number of cache data of the device, and information on a cache data storage standard of the device. The method of claim 13,
The cache data management unit,
And deleting the stored cache data. The method of claim 15,
The cache data management unit,
And sequentially deleting cache data having a small ratio of the amount of data stored as cache data among the total amount of data stored in the plurality of cloud servers. The method of claim 13,
The device is
And a cache list generator for generating a cache list for the stored cache data. The method of claim 12,
The cache ratio determination unit,
And determining the ratio to be inversely proportional to the measured respective network performance. The method of claim 12,
The network performance measurement unit,
The device, characterized in that for measuring the network speeds between the plurality of cloud servers and the device, respectively. The method of claim 12,
The device,
And a cache storage space determining unit determining a cache data storage space of the device based on the network performance. The method of claim 12,
The device,
And a cache storage space allocating unit that allocates a cache data storage space of the device to each of the plurality of clouds, based on the network performance. The method of claim 12,
The network performance measurement unit,
An apparatus, characterized in that each measuring network performance between a plurality of cloud servers and devices at predetermined time intervals. A computer-readable recording medium storing a program for implementing the method according to claim 1.

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