CN110995872A - Edge cache network energy consumption calculation method, system and device - Google Patents
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Abstract
本发明属于网络能耗计算领域，具体涉及了一种边缘缓存网络能量消耗计算方法、系统、装置，旨在解决现有技术仅考虑边缘缓存网络节能而不能计算网络能量消耗的问题。本发明包括：获取CDN到ECS的核心路由器、边缘路由器数量及能耗、宽带网络网关能耗、以太网交换机能耗、ECS的工作功率及存储能力；计算设定大小文件从CDN到ECS的能耗以及ECS的单位存储能耗；计算设定大小文件在ECS中缓存设定时间的能耗；两种能耗之和为边缘缓存网络总能耗。本发明不仅考虑了服务器正常工作的能耗，还考虑了内容更新导致的网络传输能耗，计算的能耗可以更加全面准确地反映边缘缓存网络的能耗特性，从而进行策略优化，合理节约能耗，应用范围广。
The invention belongs to the field of network energy consumption calculation, and in particular relates to an edge cache network energy consumption calculation method, system and device, and aims to solve the problem that the prior art only considers edge cache network energy saving but cannot calculate network energy consumption. The invention includes: obtaining the core routers from CDN to ECS, the number and energy consumption of edge routers, the energy consumption of broadband network gateways, the energy consumption of Ethernet switches, the working power and storage capacity of ECS; energy consumption and the unit storage energy consumption of ECS; calculate the energy consumption of the set size file cached in the ECS for the set time; the sum of the two energy consumption is the total energy consumption of the edge cache network. The invention not only considers the energy consumption of the server in normal operation, but also considers the network transmission energy consumption caused by the content update, and the calculated energy consumption can more comprehensively and accurately reflect the energy consumption characteristics of the edge cache network, so as to optimize the strategy and save energy reasonably. consumption, a wide range of applications.
Description
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.
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