CN110995872A - Method, system and device for calculating energy consumption of edge cache network - Google Patents

Method, system and device for calculating energy consumption of edge cache network Download PDF

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CN110995872A
CN110995872A CN201911352975.XA CN201911352975A CN110995872A CN 110995872 A CN110995872 A CN 110995872A CN 201911352975 A CN201911352975 A CN 201911352975A CN 110995872 A CN110995872 A CN 110995872A
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energy consumption
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CN110995872B (en
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严明
金立标
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Communication University of China
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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
    • H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • 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
    • 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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Abstract

The invention belongs to the field of network energy consumption calculation, and particularly relates to a method, a system and a device for calculating energy consumption of an edge cache network, aiming at solving the problem that the energy consumption of the edge cache network cannot be calculated only by considering energy conservation of the edge cache network in the prior art. The invention comprises the following steps: acquiring the quantity and energy consumption of core routers and edge routers from the CDN to the ECS, the energy consumption of a broadband network gateway, the energy consumption of an Ethernet switch and the working power and storage capacity of the ECS; calculating the energy consumption of the file with the set size from the CDN to the ECS and the unit storage energy consumption of the ECS; calculating the energy consumption of the set time of the file with the set size cached in the ECS; the sum of the two kinds of energy consumption is the total energy consumption of the edge cache network. The invention not only considers the energy consumption of normal work of the server, but also considers the energy consumption of network transmission caused by content updating, and the calculated energy consumption can more comprehensively and accurately reflect the energy consumption characteristics of the edge cache network, thereby optimizing the strategy, reasonably saving the energy consumption and having wide application range.

Description

Method, system and device for calculating energy consumption of edge cache network
Technical Field
The invention belongs to the field of network energy consumption calculation, and particularly relates to a method, a system and a device for calculating energy consumption of an edge cache network.
Background
In an existing centralized Content Delivery Network (CDN), a data server is often far from an end user. To improve user experience, distributed edge cache networks are beginning to be deployed. However, the deployment of a large number of edge cache servers may cause an increase in management difficulty of the energy consumption of the entire network.
The existing network energy-saving method and system based on edge cache firstly construct a target network model based on edge cache, then construct a first power consumption model of ISP in a target network and a second power consumption model of CP based on the target network model, and determine a network power consumption model of the target network based on the first power consumption model and the second power consumption model; and finally, determining the network content cached in the edge cache unit and the quantity of the cached network content when the network power consumption is minimum by taking the minimum network power consumption of the target network as a target and taking the size of the network content cached in the edge cache unit in the target network as a constraint condition that the size of the network content is smaller than the capacity of the edge cache unit. From the aspect of cooperation of the ISP and the CP, the influence of factors such as the cache size, the popularity distribution of network contents, the network topology structure, the quantity of different contents and the like is considered at the same time, and the energy-saving effect of the network is achieved [1 ].
However, the scheme only considers network energy saving, and does not research and explain the energy consumption of the edge cache network. On one hand, the normal operation of an Edge Caching Server (ECS) needs to consume a certain amount of electric energy, and on the other hand, because the storage capacity of the Edge cache is limited, the contents of the cache need to be frequently updated, and the updates may cause additional energy consumption for network transmission. Therefore, in order to correctly calculate the energy consumption of the edge cache network, not only the energy consumption of the normal operation of the server but also the energy consumption of network transmission caused by content update need to be considered.
The following documents are background information related to the present invention:
[1] the network energy-saving method and the system based on the edge cache are 201910.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, the prior art only considers the energy saving of the edge cache network and cannot calculate the energy consumption of the network, the present invention provides an energy consumption calculation method for an edge cache network, the energy consumption calculation method including:
step S10, acquiring the number and energy consumption of core routers, edge routers, broadband network gateways and Ethernet switches from the CDN server to the ECS server; acquiring the working power and the storage capacity of an ECS server;
step S20, calculating the energy consumption of the files with set size from the CDN server to the ECS server based on the quantity and energy consumption of the core routers from the CDN server to the ECS server, the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch; calculating the unit storage energy consumption of the ECS server based on the working power and the storage capacity of the ECS server;
step S30, calculating the energy consumption of the file with set size for caching the set time in the ECS server based on the unit storage energy consumption of the ECS server;
and step S40, acquiring the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size in the ECS server for caching the set time.
In some preferred embodiments, the energy consumption of the sized file from the CDN server to the ECS server is calculated by:
Etransport＝(NcEc+NeEe+Ebng+Esw)×Cf
wherein N isc、NeThe number of core routers and edge routers through which the file is transmitted, Nc、Ne、Nbng、NswUnit energy consumption respectively representing core router, edge router, broadband network gateway and Ethernet switch, CfRepresenting the file size.
In some preferred embodiments, the unit storage energy consumption of the ECS server is calculated by:
Pcaching＝Ps/Cs
wherein, PsTo be edge relievedOperating power of the storage server, CsThe storage capacity of the server is cached for the edge.
In some preferred embodiments, the energy consumption of the set time is cached in the ECS server by the set size file, and the calculation method is as follows:
Ecaching＝Pcaching×Cf×T
wherein, PcachingEnergy consumption per unit of storage on behalf of edge cache servers, CfRepresenting the file size, and T is the set cache time.
In some preferred embodiments, the edge cache network total energy consumption is calculated by:
Etotal＝Etransport+Ecaching
wherein E istransporRepresenting the energy consumption of a file of set size from a CDN server to an ECS server, EcachingRepresenting the energy consumption of caching the set time in the ECS server for the set size file.
In another aspect of the present invention, an energy consumption calculation system for an edge cache network is provided, where the energy consumption calculation system includes an input module, a transmission energy consumption calculation module, a unit storage energy consumption calculation module, a cache energy consumption calculation module, a total energy consumption calculation module, and an output module;
the input module is configured to acquire and input the core routers from the CDN server to the ECS server, the number and energy consumption of edge routers, the energy consumption of a broadband network gateway, the energy consumption of an Ethernet switch, the working power and the storage capacity of the ECS server;
the transmission energy consumption calculation module is configured to calculate the energy consumption of the file with the set size from the CDN server to the ECS server based on the number and the energy consumption of the core routers, the number and the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch from the CDN server to the ECS server;
the unit storage energy consumption calculation module is configured to calculate the unit storage energy consumption of the ECS based on the working power and the storage capacity of the ECS;
the cache energy consumption calculation module is configured to calculate energy consumption of a file with a set size for caching set time in the ECS server based on unit storage energy consumption of the ECS server;
the total energy consumption calculation module is configured to obtain the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size for caching the file in the ECS server for the set time;
the output module is configured to output the obtained total energy consumption of the edge cache network.
In a third aspect of the present invention, a storage device is provided, in which a plurality of programs are stored, and the programs are suitable for being loaded and executed by a processor to implement the above-mentioned method for calculating the energy consumption of the edge cache network.
In a fourth aspect of the present invention, a processing apparatus is provided, which includes a processor, a storage device; the processor is suitable for executing various programs; the storage device is suitable for storing a plurality of programs; the program is suitable for being loaded and executed by a processor to realize the above-mentioned method for calculating the energy consumption of the edge cache network.
The invention has the beneficial effects that:
(1) according to the method for calculating the energy consumption of the edge cache network, by researching the difference between the storage modes of the edge cache network and the traditional centralized CDN, not only is the energy consumption of normal work of a server considered, but also the energy consumption of network transmission caused by content updating is considered, and the energy consumption calculated by the method for calculating the energy consumption of the edge cache network can reflect the energy consumption characteristics of the edge cache network more comprehensively and more accurately.
(2) Because the edge server needs to update the cached content at a certain time interval, by using the method for calculating the energy consumption of the edge cache network, the direct influence on the overall energy consumption caused by the amount of the content updated each time and the updating frequency can be seen, and the more the content updated each time and the increase of the updating frequency can cause the increase of the overall energy consumption. When the content on the edge cache server has to be replaced frequently in order to improve the user experience, the content replacement strategy can be optimized through the energy consumption calculation method.
(3) The method provided by the invention can be suitable for different types of edge cache networks (such as 5G mobile communication edge cache, broadcast television network edge cache, cable local area network edge cache and the like) by adjusting parameters (such as the number of devices, energy consumption and the like) of the devices on the transmission link when different types of edge cache architectures are different and corresponding network transmission links are different, and has wide application range.
(4) The method can effectively calculate the network energy consumption of different edge cache content updating strategies, thereby adjusting the network operation mechanism and reasonably saving the energy consumption.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic flow chart of a method for calculating energy consumption of an edge cache network according to the present invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The invention provides an energy consumption calculation method for an edge cache network, which considers network transmission energy consumption caused by content updating besides energy consumption stored by a server, and can more comprehensively evaluate the energy consumption of the edge cache network, thereby comprehensively knowing the distribution of the energy consumption of the edge cache network. The method of the invention is used for calculating the energy consumption of the edge cache network, and the frequency of content updating of the edge server can be reasonably configured, thereby managing the energy consumption of the edge cache network. In addition, the method is also beneficial to designing an effective method, and the network operation mechanism is effectively adjusted according to the result calculated by the method while the user experience is ensured, so that the aim of saving energy is fulfilled.
The invention discloses an energy consumption calculation method of an edge cache network, which comprises the following steps:
step S10, acquiring the number and energy consumption of core routers, edge routers, broadband network gateways and Ethernet switches from the CDN server to the ECS server; acquiring the working power and the storage capacity of an ECS server;
step S20, calculating the energy consumption of the files with set size from the CDN server to the ECS server based on the quantity and energy consumption of the core routers from the CDN server to the ECS server, the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch; calculating the unit storage energy consumption of the ECS server based on the working power and the storage capacity of the ECS server;
step S30, calculating the energy consumption of the file with set size for caching the set time in the ECS server based on the unit storage energy consumption of the ECS server;
and step S40, acquiring the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size in the ECS server for caching the set time.
In order to more clearly describe the method for calculating the energy consumption of the edge cache network according to the present invention, each step in the embodiment of the method of the present invention is described in detail below with reference to fig. 1.
The method for calculating the energy consumption of the edge cache network in the embodiment of the invention comprises the following steps of S10-S40, wherein the following steps are described in detail:
step S10, acquiring the number and energy consumption of core routers, edge routers, broadband network gateways and Ethernet switches from the CDN server to the ECS server; and acquiring the working power and the storage capacity of the ECS server.
In a 5G mobile communication network, since a radio base station can provide a higher bandwidth, an edge cache architecture is proposed to relieve transmission pressure of a backbone network. Under such an architecture, the original centralized content storage server is deployed scattered at the edge of the network closer to the end users, but the capacity of the edge cache server is much smaller than that of the centralized server. Therefore, the file requested by the user is cached in the edge cache server as much as possible, and the content of the edge cache server needs to be updated at a certain frequency because the behavior of the user changes with time and place. Compared with the traditional CDN server storage, in the edge cache network, the whole energy consumption not only is the energy consumption of the server for storing the file, but also includes the energy consumption of network transmission caused by content updating. I.e., the energy consumption to transfer files from a conventional CDN server to an edge server.
The quantity and energy consumption of core routers from the CDN server to the ECS server, the energy consumption of edge routers, the energy consumption of a broadband network gateway, the energy consumption of an Ethernet switch, and the working power and storage capacity of the ECS server can be obtained by a method of measuring or directly reading corresponding product parameters.
Step S20, calculating the energy consumption of the files with set size from the CDN server to the ECS server based on the quantity and energy consumption of the core routers from the CDN server to the ECS server, the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch; and calculating the unit storage energy consumption of the ECS server based on the working power and the storage capacity of the ECS server.
One size is CfThe file (in bit) is transmitted from the CDN server to the ECS server, and needs to pass through links such as a plurality of core routers, a plurality of edge routers, a Broadband Network Gateway (BNG), and an ethernet switch, and the unit energy consumption of these network devices can be obtained according to related product parameters or by direct measurement. Therefore, the energy consumption E of network transmission for transmitting the file can be calculatedtransportThe unit is Joule (J), and the calculation method is shown as the formula (1):
Etransport＝(NcEc+NeEe+Ebng+Esw)×Cfformula (1)
Wherein N isc、NeThe number of core routers and edge routers through which the file is transmitted, Nc、Ne、Nbng、NswUnit energy consumption respectively representing core router, edge router, broadband network gateway and Ethernet switch, CfRepresenting the file size.
The unit storage energy consumption of the edge cache server ECS can be calculated from the operating power and storage capacity of the server. Per unit storage power consumption P of ECScachingThe unit is watt/bit (W/bit), and the calculation method is shown in formula (2):
Pcaching＝Ps/Csformula (2)
Wherein, PsCaching the operating power of the server for the edge, CsThe storage capacity of the server is cached for the edge.
And step S30, calculating the energy consumption of the file with the set size for caching the set time in the ECS server based on the unit storage energy consumption of the ECS server.
Based on the obtained unit storage energy consumption of the ECS server, the size C of the ECS server can be calculatedf(bit) energy consumption E of buffering the file in ECS for a certain time length T (second, s)cachingIn joules (J) as shown in formula (3):
Ecaching＝Pcaching×Cfx T type (3)
Wherein, PcachingEnergy consumption per unit of storage on behalf of edge cache servers, CfRepresenting the file size, and T is the set cache time.
And step S40, acquiring the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size in the ECS server for caching the set time.
The total energy consumption E for transmitting and buffering a file can be obtained by combining the two parts of energy consumptiontotalIn joules (J), as shown in equation (4):
Etotal＝Etransport+Ecachingformula (4)
Wherein E istransporRepresenting the energy consumption of a file of set size from a CDN server to an ECS server, EcachingRepresenting the energy consumption of caching the set time in the ECS server for the set size file.
The energy consumption computing system of the edge cache network in the second embodiment of the invention comprises an input module, a transmission energy consumption computing module, a unit storage energy consumption computing module, a cache energy consumption computing module, a total energy consumption computing module and an output module;
the input module is configured to acquire and input the core routers from the CDN server to the ECS server, the number and energy consumption of edge routers, the energy consumption of a broadband network gateway, the energy consumption of an Ethernet switch, the working power and the storage capacity of the ECS server;
the transmission energy consumption calculation module is configured to calculate the energy consumption of the file with the set size from the CDN server to the ECS server based on the number and the energy consumption of the core routers, the number and the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch from the CDN server to the ECS server;
the unit storage energy consumption calculation module is configured to calculate the unit storage energy consumption of the ECS based on the working power and the storage capacity of the ECS;
the cache energy consumption calculation module is configured to calculate energy consumption of a file with a set size for caching set time in the ECS server based on unit storage energy consumption of the ECS server;
the total energy consumption calculation module is configured to obtain the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size for caching the file in the ECS server for the set time;
the output module is configured to output the obtained total energy consumption of the edge cache network.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the edge cache network energy consumption computing system provided in the foregoing embodiment is only illustrated by the division of the functional modules, and in practical applications, the above functions may be allocated to different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
A storage device according to a third embodiment of the present invention stores a plurality of programs, and the programs are suitable for being loaded and executed by a processor to implement the above-mentioned method for calculating the energy consumption of the edge cache network.
A processing apparatus according to a fourth embodiment of the present invention includes a processor, a storage device; a processor adapted to execute various programs; a storage device adapted to store a plurality of programs; the program is suitable for being loaded and executed by a processor to realize the above-mentioned method for calculating the energy consumption of the edge cache network.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

Claims (8)

1. An energy consumption calculation method for an edge cache network is characterized by comprising the following steps:
step S10, acquiring the number and energy consumption of core routers, edge routers, broadband network gateways and Ethernet switches from the CDN server to the ECS server; acquiring the working power and the storage capacity of an ECS server;
step S20, calculating the energy consumption of the files with set size from the CDN server to the ECS server based on the quantity and energy consumption of the core routers from the CDN server to the ECS server, the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch; calculating the unit storage energy consumption of the ECS server based on the working power and the storage capacity of the ECS server;
step S30, calculating the energy consumption of the file with set size for caching the set time in the ECS server based on the unit storage energy consumption of the ECS server;
and step S40, acquiring the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size in the ECS server for caching the set time.
2. The method for calculating energy consumption of the edge cache network according to claim 1, wherein the energy consumption of the file with the set size from the CDN server to the ECS server is calculated by:
Etransport＝(NcEc+NeEe+Ebng+Esw)×Cf
wherein N isc、NeThe number of core routers and edge routers through which the file is transmitted, Nc、Ne、Nbng、NswUnit energy consumption respectively representing core router, edge router, broadband network gateway and Ethernet switch, CfRepresenting the file size.
3. The method for calculating the energy consumption of the edge cache network according to claim 1, wherein the unit storage energy consumption of the ECS server is calculated by:
Pcaching＝Ps/Cs
wherein, PsCaching the operating power of the server for the edge, CsThe storage capacity of the server is cached for the edge.
4. The method for calculating the energy consumption of the edge cache network according to claim 3, wherein the set-size file caches the energy consumption of the set time in the ECS server, and the calculation method comprises the following steps:
Ecaching＝Pcaching×Cf×T
wherein, PcachingEnergy consumption per unit of storage on behalf of edge cache servers, CfRepresenting the file size, and T is the set cache time.
5. The method for calculating the energy consumption of the edge cache network according to claim 1, wherein the method for calculating the total energy consumption of the edge cache network comprises the following steps:
Etotal＝Etransport+Ecaching
wherein E istransportRepresenting the energy consumption of a file of set size from a CDN server to an ECS server, EcachingRepresenting the energy consumption of caching the set time in the ECS server for the set size file.
6. An edge cache network energy consumption calculation system is characterized by comprising an input module, a transmission energy consumption calculation module, a unit storage energy consumption calculation module, a cache energy consumption calculation module, a total energy consumption calculation module and an output module;
the input module is configured to acquire and input the core routers from the CDN server to the ECS server, the number and energy consumption of edge routers, the energy consumption of a broadband network gateway, the energy consumption of an Ethernet switch, the working power and the storage capacity of the ECS server;
the transmission energy consumption calculation module is configured to calculate the energy consumption of the file with the set size from the CDN server to the ECS server based on the number and the energy consumption of the core routers, the number and the energy consumption of the edge routers, the energy consumption of the broadband network gateway and the energy consumption of the Ethernet switch from the CDN server to the ECS server;
the unit storage energy consumption calculation module is configured to calculate the unit storage energy consumption of the ECS based on the working power and the storage capacity of the ECS;
the cache energy consumption calculation module is configured to calculate energy consumption of a file with a set size for caching set time in the ECS server based on unit storage energy consumption of the ECS server;
the total energy consumption calculation module is configured to obtain the total energy consumption of the edge cache network based on the energy consumption of the file with the set size from the CDN server to the ECS server and the energy consumption of the file with the set size for caching the file in the ECS server for the set time;
the output module is configured to output the obtained total energy consumption of the edge cache network.
7. A storage device having stored therein a plurality of programs, wherein the programs are adapted to be loaded and executed by a processor to implement the method of calculating energy consumption of an edge cache network according to any one of claims 1 to 5.
8. A treatment apparatus comprises
A processor adapted to execute various programs; and
a storage device adapted to store a plurality of programs;
wherein the program is adapted to be loaded and executed by a processor to perform:
the method of calculating energy consumption of an edge cache network of any one of claims 1-5.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113114762A (en) * 2021-04-12 2021-07-13 北京邮电大学 Data caching method and system
CN113115362A (en) * 2021-04-16 2021-07-13 三峡大学 Cooperative edge caching method and device
CN115866678A (en) * 2023-02-20 2023-03-28 中国传媒大学 Mobile edge cache resource optimization method based on network energy consumption hotspot detection

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120203866A1 (en) * 2011-02-07 2012-08-09 Microsoft Corporation Proxy-based cache content distribution and affinity
CN103338414A (en) * 2013-05-28 2013-10-02 苏州大学 Method for minimizing IP over WDM network energy consumption
CN103516792A (en) * 2013-09-16 2014-01-15 合肥工业大学 Data deploying method based on network delay, network transmission energy consumption and server energy consumption
CN105282210A (en) * 2014-04-07 2016-01-27 美国博通公司 Network energy consumption reduction
CN107295619A (en) * 2017-08-10 2017-10-24 北京邮电大学 A kind of base station dormancy method based on user's connection matrix in edge cache network
CN107896257A (en) * 2017-12-13 2018-04-10 中国移动通信集团江苏有限公司 Method, apparatus, equipment and the medium of deploying client subsystem function

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120203866A1 (en) * 2011-02-07 2012-08-09 Microsoft Corporation Proxy-based cache content distribution and affinity
CN103338414A (en) * 2013-05-28 2013-10-02 苏州大学 Method for minimizing IP over WDM network energy consumption
CN103516792A (en) * 2013-09-16 2014-01-15 合肥工业大学 Data deploying method based on network delay, network transmission energy consumption and server energy consumption
CN105282210A (en) * 2014-04-07 2016-01-27 美国博通公司 Network energy consumption reduction
CN107295619A (en) * 2017-08-10 2017-10-24 北京邮电大学 A kind of base station dormancy method based on user's connection matrix in edge cache network
CN107896257A (en) * 2017-12-13 2018-04-10 中国移动通信集团江苏有限公司 Method, apparatus, equipment and the medium of deploying client subsystem function

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙毅: "异构网络中两种边缘缓存策略的能耗分析", 《电信科学》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113114762A (en) * 2021-04-12 2021-07-13 北京邮电大学 Data caching method and system
CN113115362A (en) * 2021-04-16 2021-07-13 三峡大学 Cooperative edge caching method and device
CN115866678A (en) * 2023-02-20 2023-03-28 中国传媒大学 Mobile edge cache resource optimization method based on network energy consumption hotspot detection

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