CN112491936A - Multi-access edge calculation method, device and system - Google Patents
Multi-access edge calculation method, device and system Download PDFInfo
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- CN112491936A CN112491936A CN201910857447.3A CN201910857447A CN112491936A CN 112491936 A CN112491936 A CN 112491936A CN 201910857447 A CN201910857447 A CN 201910857447A CN 112491936 A CN112491936 A CN 112491936A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
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Abstract
The disclosure provides a method, equipment and a system for calculating multiple access edges, and relates to the technical field of communication. The multi-access edge calculation method comprises the following steps: the current MEC node acquires a hot address shared by other MEC nodes; caching the resources of the hot address; determining the hit rate of each hot address according to the localized flow proportion; the deletion hit rate is below a predetermined hit rate threshold, and/or the hit rate ranks hot addresses below a predetermined rank. By the method, the utilization rate of the hot address determined by each node is improved, and the utilization range is expanded; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method, a device, and a system for calculating multiple access edges.
Background
The MEC (Multi-access Edge Computing) makes the traditional wireless access network have the conditions of service localization and close-range deployment, thereby providing the transmission capability with high bandwidth and low time delay; the increase in network capacity brought by MECs will greatly advance the pace of its scale business. The mobile network MEC equipment can realize the function of transparent caching, analyze the flow direction of the access flow of the users in the area, cache the hot content locally, and improve the experience of the users in accessing the Internet service.
Disclosure of Invention
One object of the present disclosure is to reduce the computational overhead of MECs, expanding the scope of influence.
According to an aspect of some embodiments of the present disclosure, a method for calculating multiple access edges is provided, including: the current MEC node acquires a hot address shared by other MEC nodes; caching the resources of the hot address; determining the hit rate of each hot address according to the localized flow proportion; the deletion hit rate is below a predetermined hit rate threshold, and/or the hit rate ranks hot addresses below a predetermined rank.
In some embodiments, the multiple access edge calculation method further comprises: the current MEC node determines a local hot address according to the resident user data; and determining the hot address shared by the current node according to the local hot address, and sending the hot address to other MEC nodes.
In some embodiments, determining the hot address shared by the current node based on the local hot address comprises: and determining the hot address shared by the current node according to the preset number of addresses in the sequence of the access times or the flow from large to small from the local hot addresses.
In some embodiments, caching resources for addresses in the hot address list includes: caching the resources of the local hot address and the resources of the hot address shared by other MEC nodes.
In some embodiments, the multiple access edge calculation method further comprises: and determining the resident Subscriber in the area of the current MEC node according to the online time of the IMSI (International Mobile Subscriber Identity) of the Subscriber.
In some embodiments, the multiple access edge calculation method further comprises: when the user accesses the hot address, the user is redirected to the local cache.
By the method, each MEC node can perform local caching based on hot address data of other nodes, so that the utilization rate of the hot address determined by each node is improved, and the utilization range is expanded; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
According to an aspect of some embodiments of the present disclosure, there is provided a multi-access edge computing device, comprising: the sharing unit is configured to acquire a hot address list shared by other MEC nodes; a cache unit configured to cache resources of addresses in the hot address list; the utilization rate counting unit is configured to determine the utilization rate of each hot address in the hot address list according to the localized traffic proportion; and the hot spot screening unit is configured to delete the hot addresses with the utilization rate lower than a preset utilization rate threshold value and/or the utilization rate ranking lower than a preset ranking.
In some embodiments, the multi-access edge computing device further comprises: the analysis unit is configured to determine a local hot address according to the resident user data by the current MEC node; the sharing unit is further configured to determine a hot address shared by the current node according to the local hot address, and send the hot address to other MEC nodes.
In some embodiments, the analysis unit is further configured to determine the resident subscribers of the area of the current MEC node according to the online duration of the IMSI of the subscriber.
In some embodiments, the multi-access edge computing device further comprises: a redirection unit configured to redirect the user to the local cache when the user accesses the hot address.
According to an aspect of some embodiments of the present disclosure, there is provided a multi-access edge computing device, comprising: a memory; and a processor coupled to the memory, the processor configured to perform any of the multiple access edge calculation methods above based on instructions stored in the memory.
The MEC equipment can perform local cache based on hot address data of other nodes, so that the utilization rate of the hot address determined by each node is improved, and the utilization range is expanded; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
According to an aspect of some embodiments of the present disclosure, a computer-readable storage medium is proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the steps of any of the multiple access edge calculation methods above.
By executing the instructions on the computer-readable storage medium, local caching can be performed based on hot address data of other MEC equipment, the utilization rate of the hot addresses determined by each node is improved, and the utilization range is expanded; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
According to an aspect of some embodiments of the present disclosure, there is provided a multi-access edge computing system, comprising: a plurality of any of the multi-access edge computing devices above.
In the system, the MEC equipment can perform local caching based on hot address data of other MEC equipment, so that the utilization rate of the hot address determined by each node is improved, and the utilization range is expanded; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a flow diagram of some embodiments of a multiple access edge calculation method of the present disclosure.
Fig. 2 is a flow diagram of further embodiments of a multiple access edge calculation method of the present disclosure.
Fig. 3 is a schematic diagram of some embodiments of a multiple access edge computing device of the present disclosure.
Fig. 4 is a schematic diagram of further embodiments of a multiple access edge computing device of the present disclosure.
Fig. 5 is a schematic diagram of further embodiments of multiple access edge computing devices of the present disclosure.
Fig. 6 is a schematic diagram of some embodiments of a multiple access edge computing system of the present disclosure.
Detailed Description
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
The inventor finds that, in the related art, each MEC only analyzes the hot spot of a small-range area, the situation of the hot spot of the whole network cannot be reflected, and the calculation overhead of each MEC is large.
A flow diagram of some embodiments of the disclosed multiple access edge calculation method is shown in fig. 1.
In step 101, the current MEC node acquires a hot address shared by other MEC nodes. In some embodiments, each MEC node may share its determined hot address or a portion of the hot address with other nodes and receive the hot address shared by other nodes.
In step 102, the hot addressed resource is cached. In some embodiments, the assets may include pictures, videos, files, and the like. In some embodiments, the static content may be obtained and cached according to a URL (Uniform Resource Locator). In some embodiments, when a user requests to obtain a resource for a hot address, the request may be redirected to a local cache. The local cache provides resource providing service for the user and then considers cache hit.
In step 103, the hit rate of each hot address is determined based on the localized traffic proportion. In some embodiments, since the resource of the hot address is cached, the hit rate of the corresponding address may be determined by the ratio of the number of times that each hot address is accessed to the total number of times that the user accesses the corresponding address.
In step 104, hot addresses with hit rates below a predetermined hit rate threshold and/or hit rates below a predetermined ranking are deleted.
By the method, each MEC node can perform local caching based on hot address data of other nodes, so that the utilization rate of the hot address determined by each node is improved, the utilization range is expanded, and global utilization is realized; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
A flow diagram of further embodiments of the multiple access edge calculation method of the present disclosure is shown in fig. 2.
In step 201, the resident subscribers in the area of the current MEC node are determined according to the online duration of the IMSI of the subscriber. In some embodiments, the MEC uses the IMSI as a subscriber identity for distinguishing the subscriber, and screens the resident subscriber in the current area according to the online duration of the IMSI of the subscriber. In some embodiments, a predetermined online time threshold may be set, and a resident user is determined when the online time exceeds the threshold within a predetermined time period; in other embodiments, the users may be sorted according to their online time lengths, and a predetermined number of resident users may be filtered in the order of the online time lengths from long to short.
In step 202, the current MEC node determines the hot address of the current node as the local hot address according to the resident user data. In some embodiments, hit addresses may be filtered based on one or more of user access times, traffic, or access duration.
In step 203, the hot address shared by the current node is determined according to the hot address determined by the current node, and is sent to other MEC nodes. In some embodiments, the local hot address determined by the current node may be all used as the hot address shared by the current node; in other embodiments, the hot address shared by the current node may be determined from the hot addresses determined by the current node according to a predetermined number of addresses in the order of the access times or the traffic volume from large to small.
In step 204, from the hot addresses determined by the current node, the hot addresses shared by the current node are determined according to a predetermined number of addresses in the order of the access times or the traffic from large to small.
In step 205, the hot addressed resource is cached. In some embodiments, the hot address shared by other nodes is a global hot address. The resources for the local hot address and the global hot address may be cached.
By the method, the permanent users can be screened out firstly, the hot address is determined based on the access condition of the permanent users, the influence of accidental conditions is reduced, and the accuracy of determining the hot address is improved; on the basis of caching the locally determined hot address, resources of the global hot address can be cached, the regional difference of the hot address is guaranteed, and the utilization rate of the hot address analysis result is improved.
In some embodiments, in the process of deleting the hot address according to the hit rate, the current MEC node may preferentially delete the hot address shared by other nodes with a lower hit rate, so that the hot address sharing is realized, and meanwhile, the regional difference of the hot address is also considered, so that the hit rate is better improved.
In some embodiments, the hit rate may be further improved by updating the hot addresses according to a predetermined frequency or in a predetermined time period and sharing the hot addresses to other nodes according to the hot time period of the addresses, such as which time periods of the day or which days of the week will become the hot addresses.
A schematic diagram of some embodiments of a multiple access edge computing device of the present disclosure is shown in fig. 3.
The sharing unit 301 can acquire the hot address shared by other MEC nodes. In some embodiments, each MEC node may share its determined hot address or a portion of the hot address with other nodes and receive the hot address shared by other nodes.
The cache unit 302 is capable of caching hot address resources, including local hot address and global hot address resources. In some embodiments, the assets may include pictures, videos, files, and the like. In some embodiments, static content may be retrieved and cached from the URL. In some embodiments, as shown in fig. 3, the multi-access edge computing device may further include a redirection unit 306 capable of redirecting a request to a local cache when a user requests to obtain a resource for a hot address. The local cache provides resource providing service for the user and then considers cache hit.
The utilization statistics unit 303 can determine the hit rate of each hot address according to the localized traffic proportion. In some embodiments, since the resource of the hot address is cached, the hit rate of the corresponding address may be determined by the ratio of the number of times that each hot address is accessed to the total number of times that the user accesses the corresponding address.
Hotspot screening unit 304 can delete hot addresses with hit rates below a predetermined hit rate threshold, and/or hit rate ranks below a predetermined ranking.
The MEC equipment can perform local cache based on hot address data of other nodes, so that the utilization rate of the hot address determined by each node is improved, and the utilization range is expanded; the method reduces the analysis hot address operation required to be executed by each node, screens the address in the using process, reduces unnecessary cache, and reduces calculation and operation burden.
In some embodiments, as shown in fig. 3, the multi-access edge computing device may further include an analysis unit 305 capable of determining a hot address of the current node from the resident user data. In some embodiments, hit addresses may be filtered based on one or more of user access times, traffic, or access duration. In some embodiments, the analyzing unit 305 may first determine the resident subscribers in the area of the current MEC node according to the online duration of the IMSI of the subscriber. In some embodiments, the MEC uses the IMSI as a subscriber identity for distinguishing the subscriber, and screens the resident subscriber in the current area according to the online duration of the IMSI of the subscriber. In some embodiments, a predetermined online time threshold may be set, and a resident user is determined when the online time exceeds the threshold within a predetermined time period; in other embodiments, the users may be sorted according to their online time lengths, and a predetermined number of resident users may be filtered in the order of the online time lengths from long to short.
The multi-access edge computing equipment can screen out permanent users firstly, determine the hot address based on the access condition of the permanent users, reduce the influence of accidental conditions and improve the accuracy of hot address determination.
A schematic block diagram of one embodiment of the disclosed multi-access edge computing device is shown in fig. 4. The multiple access edge computing device includes a memory 401 and a processor 402. Wherein: the memory 401 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is for storing instructions in the corresponding embodiments of the multiple access edge calculation method above. The processor 402 is coupled to the memory 401 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 402 is configured to execute instructions stored in the memory, which can improve the utilization rate of the hot address determined by each node and enlarge the utilization range; unnecessary cache is reduced, and calculation and operation burden are reduced.
In one embodiment, as also shown in FIG. 5, a multiple access edge computing device 500 includes a memory 501 and a processor 502. The processor 502 is coupled to the memory 501 by a BUS 503. The multiple access edge computing device 500 may also be coupled to external storage 505 via storage interface 504 for facilitating retrieval of external data, and may also be coupled to a network or another computer system (not shown) via network interface 506. And will not be described in detail herein.
In the embodiment, the data instruction is stored in the memory, and the instruction is processed by the processor, so that the utilization rate of the hot address determined by each node can be improved, and the utilization range is expanded; unnecessary cache is reduced, and calculation and operation burden are reduced.
In another embodiment, a computer readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the multiple access edge calculation method. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
A schematic diagram of some embodiments of a multiple access edge computing system 60 of the present disclosure is shown in fig. 6. The multi-access edge computing system comprises a plurality of MEC devices which are positioned in different areas, and the user access behaviors of the corresponding areas (shown as 61) are analyzed to obtain the hot address of the current area. In some embodiments, the MEC plant is any one of the MEC plants mentioned above.
When a user initiates a service application, the MEC analyzes a resident user in the region, and after a single MEC analyzes the behavior habit of the resident user in the region and marks the behavior habit as a hot resource, the corresponding URL is shared to other MEC equipment; the MEC collects hot spot resources shared by other MECs for analysis and comparison, when the sharing proportion of a certain website is higher, the website is judged to be global hot spot resources, and the MEC acquires static contents such as pictures, videos and files from the Internet according to corresponding URLs to cache, so that global hot spot resource pushing is realized; and the MEC calculates the hit rate of the hot spots, and deletes the hot spots with low hit rate so as to improve the utilization rate of storage.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
Finally, it should be noted that: the above examples are intended only to illustrate the technical solutions of the present disclosure and not to limit them; although the present disclosure has been described in detail with reference to preferred embodiments, those of ordinary skill in the art will understand that: modifications to the specific embodiments of the disclosure or equivalent substitutions for parts of the technical features may still be made; all such modifications are intended to be included within the scope of the claims of this disclosure without departing from the spirit thereof.
Claims (13)
1. A multi-access edge calculation method, comprising:
the current multi-access edge computing MEC node acquires hot addresses shared by other MEC nodes;
caching the resources of the hot address;
determining the hit rate of each hot address according to the localized flow proportion;
deleting hot addresses having a utilization below a predetermined utilization threshold and/or having a utilization ranking below a predetermined ranking.
2. The method of claim 1, further comprising:
the current MEC node determines a local hot address according to resident user data;
and determining the hot address shared by the current node according to the local hot address, and sending the hot address to other MEC nodes.
3. The method of claim 2, wherein the determining the hot address shared by the current node from the local hot address comprises:
and determining the hot address shared by the current node according to a preset number of addresses in the sequence of the access times or the flow from large to small from the local hot addresses determined by the current node.
4. The method of claim 2, wherein caching resources for addresses in the hot address list comprises:
caching the resources of the local hot address and the resources of the hot address shared by other MEC nodes.
5. The method of claim 2, further comprising:
and determining the resident users in the area of the current MEC node according to the online time of the international mobile subscriber identity IMSI of the users.
6. The method of claim 1, further comprising:
when the user accesses the hot address, the user is redirected to the local cache.
7. A multi-access edge computing device, comprising:
the sharing unit is configured to acquire a hot address list shared by other MEC nodes;
a cache unit configured to cache resources of addresses in the hot address list;
the utilization rate counting unit is configured to determine the utilization rate of each hot address in the hot address list according to the localized traffic proportion;
and the hot spot screening unit is configured to delete the hot addresses with the utilization rate lower than a preset utilization rate threshold value and/or the utilization rate ranking lower than a preset ranking.
8. The apparatus of claim 7, further comprising:
the analysis unit is configured to determine a local hot address by the current MEC node according to resident user data;
the sharing unit is further configured to determine a hot address shared by the current node according to the local hot address, and send the hot address to the other MEC nodes.
9. The apparatus of claim 8, wherein the analysis unit is further configured to determine resident subscribers of the area of the current MEC node according to an online duration of the international mobile subscriber identity, IMSI, of the subscriber.
10. The apparatus of claim 7, further comprising:
a redirection unit configured to redirect a user to a local cache when the user accesses the hot address.
11. A multi-access edge computing device, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-6 based on instructions stored in the memory.
12. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 6.
13. A multi-access edge computing system, comprising:
a plurality of multi-access edge computing devices as claimed in any one of claims 7 to 11.
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