Urban computing network performance scoring method and device

Abstract

The application relates to the computer technical field and provides a city computing power network performance scoring method and device. The method comprises the following steps: obtaining the first activity of the computing power network of a target city according to main index values, secondary index values and reference index values of the computing power network; the main index values comprise dynamic index values, and the secondary index values comprise static index values; and obtaining the performance score of the computing power network of the target city according to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city. The city computing power network performance scoring method and device can make the first activity more accurate, measure the construction situation of the computing power network in the target city according to the coverage depth and breadth of the computing power network in the target city, and accurately evaluate the performance of the computing power network at the city level in combination with the first activity.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computers, in particular to a city computing power network performance scoring method and device. BACKGROUND

[0002] At present, the whole country is seizing the strategic opportunity of digital economy development, taking the city as the basic unit, and striving to explore new ideas and new measures for building city computing power network construction, and building city "new municipal administration" in the era of digital economy, and increasing efficiency and empowerment for high-quality development of digital economy.

[0003] However, the measurement of computing power network performance is mostly based on common indicators such as transmission speed and computing power of computing power network. Since the different construction conditions of computing power network in each city have not been combined, it is difficult to accurately evaluate the performance of computing power network at the city level. SUMMARY

[0004] The embodiments of the present application provide a city computing power network performance scoring method and device to solve the technical problem that the measurement of computing power network performance is mostly based on common indicators such as transmission speed and computing power of computing power network. Since the different construction conditions of computing power network in each city have not been combined, it is difficult to accurately evaluate the performance of computing power network at the city level.

[0005] In a first aspect, the embodiments of the present application provide a city computing power network performance scoring method, comprising:

[0006] According to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network, the first activity of the computing power network of the target city is obtained; the main indicator value includes the dynamic indicator value, and the secondary indicator value includes the static indicator value;

[0007] According to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city, the performance score of the computing power network of the target city is obtained.

[0008] In one embodiment, the first activity of the computing power network of the target city is obtained according to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network, comprising:

[0009] The main indicator value, the secondary indicator value and the reference indicator value of the computing power network in the target city are weighted and summed to obtain the first activity of the computing power network of the target city;

[0010] The main indicator value includes the ratio of real-time occupied computing power to total computing power of the computing power network of the target city, and the ratio of real-time occupied backbone bandwidth to maximum bandwidth of the backbone network;

[0011] The secondary index value comprises a ratio of a number of racks in use in the target city to a total number of racks;

[0012] The reference index value comprises a ratio of real-time storage space occupied by the computing power network in the target city to total storage space, a ratio of a real-time active task number to a total number of users, and a ratio of computing power network income to a total amount of digital economy;

[0013] The weight of the primary index value is higher than the weight of the secondary index value, and the weight of the secondary index value is higher than the weight of the reference index value.

[0014] In an embodiment, the coverage breadth of the computing power network in the target city is determined based on the following manner:

[0015] The coverage breadth of the computing power network in the target city is determined by calculating a ratio of a number of digital transformation industries to a number of national statistics industries in the target city.

[0016] In an embodiment, the coverage depth of the computing power network in the target city is determined based on the following manner:

[0017] The second activity of the computing power network in any target digital transformation industry in the target city is obtained by weighted summation of the primary index value, the secondary index value, and the reference index value of the computing power network in the target digital transformation industry in the target city; the target digital transformation industry is a digital transformation industry ranked in a sequence according to the industrial scale from large to small.

[0018] The total active scale of the computing power network in the target digital transformation industry is obtained by summing the product of the second activity of the computing power network in each target digital transformation industry and the industrial scale of the corresponding target digital transformation industry.

[0019] The coverage depth of the computing power network in the target city is obtained by calculating a ratio of the total active scale of the computing power network to a total amount of digital economy in the target city.

[0020] In an embodiment, the performance score of the computing power network in the target city is obtained according to the first activity of the computing power network in the target city, the coverage breadth of the computing power network in the target city, and the coverage depth of the computing power network in the target city, comprising:

[0021] The performance score of the computing power network in the target city is obtained by weighted summation of the first activity of the computing power network in the target city, the coverage breadth of the computing power network in the target city, and the coverage depth of the computing power network in the target city.

[0022] In an embodiment, after obtaining the first activity of the computing power network of the target city, the method comprises:

[0023] The maximum and minimum values between the first activity of the computing power network of all cities in the country are divided into a first interval, a second interval, a third interval, and a fourth interval in descending order;

[0024] If the first activity of the computing power network of the target city belongs to the first interval, it is determined that the first activity of the computing power network of the target city is excellent.

[0025] If the first activity of the computing power network of the target city belongs to the second interval, it is determined that the first activity of the computing power network of the target city is good.

[0026] If the first activity of the computing power network of the target city belongs to the third interval, it is determined that the first activity of the computing power network of the target city is medium.

[0027] If the first activity of the computing power network of the target city belongs to the fourth interval, it is determined that the first activity of the computing power network of the target city is poor.

[0028] In a second aspect, the embodiments of the present application provide a city computing power network performance scoring device, comprising:

[0029] An activity calculation module is configured to obtain the first activity of the computing power network of the target city according to the main index value, the secondary index value, and the reference index value of the computing power network; the main index value comprises a dynamic index value, and the secondary index value comprises a static index value.

[0030] A performance scoring module is configured to obtain the performance score of the computing power network of the target city according to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city, and the coverage depth of the computing power network of the target city.

[0031] In a third aspect, the embodiments of the present application provide an electronic device comprising a processor and a memory storing a computer program, wherein the processor executes the program to realize the steps of the city computing power network performance scoring method of the first aspect.

[0032] In a fourth aspect, the embodiments of the present application provide a computer program product comprising a computer program, wherein the computer program is executed by a processor to realize the steps of the city computing power network performance scoring method of the first aspect.

[0033] In a fifth aspect, an embodiment of the present application provides a non-transitory computer-readable storage medium comprising a computer program, which, when executed by a processor, implements the steps of the city computing power network performance scoring method of the first aspect.

[0034] The city computing power network performance scoring method and device provided by the present application obtain the first activity of the computing power network of the target city according to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network, the main indicator value includes the dynamic indicator value, and the secondary indicator value includes the static indicator value, and obtain the performance score of the computing power network of the target city according to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city. The present application obtains the first activity of the computing power network of the target city according to the main indicator value, the secondary indicator value and the reference indicator value, combines the dynamic real-time indicator and the static fixed indicator of the computing power network, so that the first activity not only refers to the change characteristics in the time dimension, but also refers to the invariable characteristics in the space dimension, and the reference indicator value is added to fine-tune the activity. Since the reference indicator value usually has a more slight influence on the activity than the main indicator value and the secondary indicator value, the comprehensiveness of the activity reference indicator can be improved without greatly affecting the overall activity, so that the first activity is more accurate. The coverage depth and breadth of the computing power network in the target city are used to measure the construction of the computing power network in the target city, and the first activity is combined to accurately evaluate the performance of the computing power network at the city level. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0036] Figure 1 is one of the flowcharts of the city computing power network performance scoring method provided by the embodiments of the present application;

[0037] Figure 2 is the second flowchart of the city computing power network performance scoring method provided by the embodiments of the present application;

[0038] Figure 3 is the structural schematic diagram of the city computing power network performance scoring device provided by the embodiments of the present application;

[0039] Figure 4 is the structural schematic diagram of the electronic device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0040] In order to make the purposes, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0041] It should be noted that in the description of the present application, the terms "comprise", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitation, the element defined by the sentence "comprises a" does not exclude the presence of other identical elements in the process, method, article or device comprising the element. The terms "upper", "lower" and the like indicate the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the present application and simplify the description, and do not indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise specified and limited, the terms "mount", "connect", "connect" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be connected internally between two elements. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0042] The terms "first", "second" and the like in the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than that illustrated or described herein, and the objects distinguished by "first", "second" and the like are generally of a kind and do not limit the number of objects, for example, the first object can be one or more. In addition, "and / or" means at least one of the connected objects, and the character " / ", generally means that the front and rear associated objects are in an "or" relationship.

[0043] Figure 1 is one of the process schematic diagrams of the urban computing network performance scoring method provided by the embodiments of the present application. Referring to Figure 1 , the embodiments of the present application provide a kind of urban computing network performance scoring method, which can include:

[0044] 101、obtain a first activity of the computing power network of the target city according to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network;

[0045] The main indicator value includes a dynamic indicator value, and the secondary indicator value includes a static indicator value;

[0046] 102、obtain a performance score of the computing power network of the target city according to the first activity of the computing power network of the target city, a coverage breadth of the computing power network of the target city and a coverage depth of the computing power network of the target city.

[0047] The first activity of the computing power network of the target city reflects the running state and the application breadth of the network. The higher the first activity is, the more fully the computing resources in the computing power network of the target city are utilized, and the more important the computing resources play in various application scenarios.

[0048] The city computing power network performance scoring method provided in this embodiment obtains a first activity of the computing power network of the target city according to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network, the main indicator value includes a dynamic indicator value, the secondary indicator value includes a static indicator value, and obtains a performance score of the computing power network of the target city according to the first activity of the computing power network of the target city, a coverage breadth of the computing power network of the target city and a coverage depth of the computing power network of the target city. This embodiment obtains the first activity of the computing power network of the target city according to the main indicator value, the secondary indicator value and the reference indicator value, combines the dynamic real-time indicators and the static fixed indicators of the computing power network, so that the first activity not only refers to the change characteristics in the time dimension, but also refers to the invariable characteristics in the space dimension, and the reference indicator value is added to fine-tune the activity. Since the reference indicator value usually has a more slight influence on the activity than the main indicator value and the secondary indicator value, the comprehensiveness of the activity reference indicator can be improved without greatly affecting the overall activity, so that the first activity is more accurate. The coverage depth and the coverage breadth of the computing power network in the target city measure the construction of the computing power network in the target city, and the first activity can accurately evaluate the performance of the computing power network at the city level.

[0049] In one embodiment, obtaining the first activity of the computing power network of the target city according to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network can include:

[0050] performing weighted summation on the main indicator value, the secondary indicator value and the reference indicator value of the computing power network in the target city to obtain the first activity of the computing power network of the target city;

[0051] The main index value includes a ratio of real-time occupied computing power of the computing power network of the target city to total computing power, used to measure real-time computing power utilization rate, and a ratio of real-time occupied backbone bandwidth to maximum backbone bandwidth, used to measure real-time traffic utilization rate.

[0052] The higher the real-time computing power utilization rate is, the more real-time computing power output of the computing power network is, and the more active the computing power network is; the higher the real-time traffic utilization rate is, the higher the real-time resource utilization rate of the computing power network is, and the more active the computing power network is.

[0053] The secondary index value includes a ratio of the number of racks being used in the target city to the total number of racks, used to measure the proportion of participating nodes.

[0054] The higher the proportion of participating nodes is, the more devices and organizations participate in the computing power network of the target city, and the more active the computing power network is.

[0055] The reference index value includes a ratio of real-time occupied storage space of the computing power network of the target city to total storage space, used to measure real-time storage utilization rate, a ratio of real-time active task number to total user number, used to measure real-time task activity, and a ratio of computing power network income to total digital economy, used to measure computing power network yield.

[0056] The higher the real-time storage utilization rate is, the more real-time data transmission of the computing power network is, and the more active the computing power network is; the higher the real-time task activity is, the more real-time tasks of a single user of the computing power network are, and the more active the computing power network is; the higher the computing power network yield is, the more the computing power network is used, and the more active the computing power network is.

[0057] The weight of the main index value is higher than that of the secondary index value, and the weight of the secondary index value is higher than that of the reference index value.

[0058] Specifically, the first activity of the computing power network of the target city can be calculated according to the following formula:

[0059] K = a1 * (A1 + A2) + a2 * B1 + a3 * (C1 + C2 + C3);

[0060] wherein, K is the first activity, A1 is the real-time computing power utilization rate, A2 is the real-time traffic utilization rate, B1 is the proportion of participating nodes, C1 is the real-time storage utilization rate, C2 is the real-time task activity, C3 is the computing power network yield, a1, a2 and a3 are weights, and a1 > a2 > a3.

[0061] The embodiment takes the real-time computing power utilization rate and the real-time transport capacity utilization rate of the target city computing power network as the main indicators, takes the participation node proportion as the secondary indicator, and takes the real-time storage capacity utilization rate, the real-time task activity, and the computing power network yield rate as the reference indicators to calculate the first activity of the target city computing power network. The first activity can fully utilize the contribution of each indicator to the activity of the computing power network during the actual operation of the computing power network, and can obtain an accurate first activity.

[0062] In one embodiment, the coverage breadth of the computing power network of the target city can be determined based on the following manner:

[0063] The ratio of the number of digital transformation industries to the number of national statistical industries in the target city is calculated to obtain the coverage breadth of the computing power network of the target city.

[0064] The coverage breadth of the city computing power network refers to the popularity and universality of the network service. A city computing power network with coverage breadth can serve various industries and fields and meet the needs of various users. The coverage breadth can be evaluated by investigating the industry application, regional distribution, and diversity of the user group of the network service.

[0065] The embodiment uses the ratio of the number of digital transformation industries to the number of national statistical industries to measure the coverage breadth of the computing power network of the target city, fully considers the supporting role of the city computing power network for the digital transformation industry, evaluates the coverage breadth of the city computing power network based on the industry coverage breadth, and improves the accuracy of the evaluation of the coverage breadth of the city computing power network.

[0066] Figure 2 FIG. 2 is a flowchart of a second process of a city computing power network performance scoring method provided by the embodiment of the present application. Referring to FIG. 2, Figure 2 In one embodiment, the coverage depth of the computing power network of the target city can be determined based on the following manner:

[0067] 201. The main indicator value, the secondary indicator value, and the reference indicator value of the computing power network of any target digital transformation industry in the target city are weighted and summed to obtain the second activity of the computing power network of any target digital transformation industry in the target city;

[0068] The target digital transformation industry is a digital transformation industry ranked in the sequence according to the industrial scale from large to small, and the digital transformation industry ranked at the front;

[0069] 202. The product of the second activity of the computing power network of each target digital transformation industry and the industrial scale of the corresponding target digital transformation industry is summed up to obtain the total size of the computing power network activity of the target digital transformation industry;

[0070] 203、calculate the ratio of the total size of the computing power network activity and the total amount of digital economy of the target city, to obtain the coverage depth of the computing power network of the target city.

[0071] In step 201, the activity calculation range is narrowed down to each target digital transformation industry in the target city. The industry computing power network activity can be calculated in the same way as the city computing power network activity, or other dynamic indicators, static indicators and reference indicators can be selected according to the characteristics of the industry, and the weighted sum of each indicator is used to obtain the industry computing power network activity, i.e. the second activity.

[0072] In steps 202 to 203, assuming that the second activity of the computing power network of the top 5 target digital transformation industries in the target city in terms of industry size from large to small is k1, k2, k3, k4 and k5, then the coverage depth of the computing power network of the target city can be calculated according to the following formula:

[0073] D=(k1*e1+k2*e2+k3*e3+k4*e4+k5*e5) / G;

[0074] Where D is the coverage depth of the computing power network of the target city, e1 is the industry size of the target digital transformation industry corresponding to k1 in the target city, e2 is the industry size of the target digital transformation industry corresponding to k2 in the target city, e3 is the industry size of the target digital transformation industry corresponding to k3 in the target city, e4 is the industry size of the target digital transformation industry corresponding to k4 in the target city, e5 is the industry size of the target digital transformation industry corresponding to k5 in the target city, and G is the total amount of digital economy of the target city.

[0075] The coverage depth of the city computing power network reflects the penetration of the network and the comprehensiveness of the service. The deeper the coverage depth, the wider the range of network services, which can cover more corners of the city and provide services to more users. The coverage depth can be measured by evaluating the coverage range of the network, the number of service access points and the usage of users.

[0076] In this embodiment, the product of the computing power network activity of the digital transformation industry with large industry size and its corresponding industry size is added and then divided by the total amount of digital economy, which can measure the coverage depth of the city computing power network by using the proportion of the active size of the vast majority of industries actually reached by the computing power network of the target city to the total amount of digital economy, and improve the accuracy of the evaluation of the coverage depth of the city computing power network.

[0077] In one embodiment, according to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city, the performance score of the computing power network of the target city can include:

[0078] The performance score of the target city's computing power network is obtained by weighted summing of the first activity level, coverage breadth, and coverage depth of the target city's computing power network.

[0079] This embodiment fully utilizes the contribution of the computing network's own attributes and city attributes to the computing network's performance to obtain an accurate performance score for the target city's computing network.

[0080] In one embodiment, after obtaining the first activity level of the target city's computing network, the following can be included:

[0081] The values ​​between the maximum and minimum values ​​of the first activity level of the computing power network in all cities across the country are divided into the first interval, the second interval, the third interval, and the fourth interval in descending order;

[0082] If the first activity level of the target city's computing power network belongs to the first interval, then the first activity level of the target city's computing power network is determined to be excellent.

[0083] If the first activity level of the target city's computing power network belongs to the second range, then the level of the first activity level of the target city's computing power network is determined to be good.

[0084] If the first activity level of the target city's computing power network belongs to the third interval, then the level of the first activity level of the target city's computing power network is determined to be medium.

[0085] If the first activity level of the target city's computing power network belongs to the fourth interval, then the level of the first activity level of the target city's computing power network is determined to be poor.

[0086] It should be noted that in the embodiment, when the four intervals are divided, the continuous values between the maximum value and the minimum value of the first activity of the computing power network of all cities in the country are divided, rather than only the discrete first activity between the maximum value and the minimum value. Assuming that the maximum value is 10 and the minimum value is 0, and other first activities include 9.8, 9.4, 8.8, 7.3, 6.6 and 5.4, if 10, 9.8, 9.4, 8.8, 7.3, 6.6, 5.4 and 0 are divided, the first interval can be [9.8, 10], the second interval can be [8.8, 9.4], the third interval can be [6.6, 7.3], and the fourth interval can be [0, 5.4], but since the first activity is changing all the time, such division makes there are more value spaces outside the intervals, and if the first activity of the computing power network of a city changes to outside the four intervals at the next moment, for example, 9.5, the first activity cannot be classified into any level, therefore, the continuous values between 0 and 10 are divided, for example, the first interval can be [7.6, 10], the second interval can be [5.1, 7.5], the third interval can be [2.6, 5], and the fourth interval can be [0, 2.5], the four intervals can include more values of the above eight first activities, and adapt to the real-time changes of the first activity.

[0087] The embodiment divides the intervals by the values between the maximum value and the minimum value of the first activity of the computing power network of all cities in the country, determines the first activity level, can accurately evaluate the level of the computing power network activity of the target city in the country, and is helpful for formulating the computing power network development strategy of the target city and improving the competitiveness of the computing power network of the target city in the country.

[0088] The city computing power network performance scoring device provided by the embodiment of the application is described below, and the city computing power network performance scoring device described below can be correspondingly referred to the city computing power network performance scoring method described above.

[0089] Figure 3 FIG. 1 is a structural schematic diagram of the city computing power network performance scoring device provided by the embodiment of the application. Referring to FIG. 1, the city computing power network performance scoring device provided by the embodiment of the application can include: Figure 3 The city computing power network performance scoring device provided by the embodiment of the application can include:

[0090] The activity calculation module 301 is configured to obtain the first activity of the computing power network of the target city according to the main index value, the secondary index value and the reference index value of the computing power network, wherein the main index value includes the dynamic index value, and the secondary index value includes the static index value.

[0091] The performance score module 302 is configured to obtain the performance score of the computing power network in the target city according to the first activity degree of the computing power network in the target city, the coverage breadth of the computing power network in the target city, and the coverage depth of the computing power network in the target city.

[0092] The city computing power network performance scoring device provided in the embodiment obtains the first activity degree of the computing power network in the target city according to the main index value, the secondary index value, and the reference index value of the computing power network, the main index value includes the dynamic index value, the secondary index value includes the static index value, and the performance score of the computing power network in the target city is obtained according to the first activity degree of the computing power network in the target city, the coverage breadth of the computing power network in the target city, and the coverage depth of the computing power network in the target city. The first activity degree of the computing power network in the target city is obtained according to the main index value, the secondary index value, and the reference index value in the embodiment, which combines the dynamic real-time index and the static fixed index of the computing power network, so that the first activity degree refers to the change characteristics in the time dimension and the invariable characteristics in the space dimension, and the reference index value is added to fine-tune the activity degree. Since the reference index value usually has a more slight influence on the activity degree than the main index value and the secondary index value, the comprehensiveness of the activity degree reference index can be improved without greatly affecting the overall activity degree, so that the first activity degree is more accurate. The coverage depth and the coverage breadth of the computing power network in the target city are used to measure the construction of the computing power network in the target city, and the first activity degree is combined to accurately evaluate the performance of the computing power network at the city level.

[0093] In one embodiment, the activity degree calculation module 301 is specifically configured to:

[0094] perform weighted summation on the main index value, the secondary index value, and the reference index value of the computing power network in the target city to obtain the first activity degree of the computing power network in the target city;

[0095] The main index value includes the ratio of real-time occupied computing power to total computing power of the computing power network in the target city, and the ratio of real-time occupied backbone bandwidth to maximum backbone bandwidth.

[0096] The secondary index value includes the ratio of the number of racks currently used in the target city to the total number of racks.

[0097] The reference index value includes the ratio of real-time occupied storage space to total storage space of the computing power network in the target city, the ratio of the number of real-time active tasks to the total number of users, and the ratio of computing network income to the total amount of digital economy.

[0098] The weight of the main index value is higher than the weight of the secondary index value, and the weight of the secondary index value is higher than the weight of the reference index value.

[0099] In one embodiment, further comprising a coverage breadth calculation module (not shown in the figure) for:

[0100] calculating a ratio of the number of digital transformation industries to the number of national statistical industries in the target city to obtain the coverage breadth of the computing power network of the target city.

[0101] In one embodiment, further comprising a coverage depth calculation module (not shown in the figure) for:

[0102] performing weighted summation on the primary indicator value, the secondary indicator value and the reference indicator value of the computing power network of any target digital transformation industry in the target city to obtain the second activity of the computing power network of any target digital transformation industry in the target city; the target digital transformation industry is a digital transformation industry ranked from large to small according to the industrial scale, and the top-ranked digital transformation industry;

[0103] adding up the product of the second activity of the computing power network of each target digital transformation industry and the industrial scale of the corresponding target digital transformation industry to obtain the total active scale of the computing power network of the target digital transformation industry;

[0104] calculating a ratio of the total active scale of the computing power network to the total digital economy of the target city to obtain the coverage depth of the computing power network of the target city.

[0105] In one embodiment, the performance score module 302 is specifically configured to:

[0106] performing weighted summation on the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city to obtain the performance score of the computing power network of the target city.

[0107] In one embodiment, further comprising a grade division module (not shown in the figure) for:

[0108] dividing the values between the maximum value and the minimum value of the first activity of the computing power network of all cities in the country from large to small into a first interval, a second interval, a third interval and a fourth interval;

[0109] if the first activity of the computing power network of the target city belongs to the first interval, determining that the grade of the first activity of the computing power network of the target city is excellent;

[0110] if the first activity of the computing power network of the target city belongs to the second interval, determining that the grade of the first activity of the computing power network of the target city is good;

[0111] If the first activity degree of the computing power network of the target city belongs to the third interval, it is determined that the level of the first activity degree of the computing power network of the target city is medium.

[0112] If the first activity degree of the computing power network of the target city belongs to the fourth interval, it is determined that the level of the first activity degree of the computing power network of the target city is poor.

[0113] Figure 4 An example of a structural diagram of an electronic device is shown as Figure 4 The electronic device can include a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 can communicate with each other through the communication bus 440. The processor 410 can call the computer program in the memory 430 to execute the steps of the city computing power network performance scoring method, for example, including:

[0114] According to the main indicator value, the secondary indicator value, and the reference indicator value of the computing power network, the first activity degree of the computing power network of the target city is obtained; the main indicator value includes a dynamic indicator value, and the secondary indicator value includes a static indicator value;

[0115] According to the first activity degree of the computing power network of the target city, the coverage breadth of the computing power network of the target city, and the coverage depth of the computing power network of the target city, the performance score of the computing power network of the target city is obtained.

[0116] In addition, the logical instructions in the memory 430 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0117] In another aspect, the embodiments of the present application also provide a computer program product, which comprises a computer program, the computer program being stored in a non-transitory computer-readable storage medium, and the computer program being executable by a processor to enable the computer to perform the steps of the city computing power network performance scoring method provided by the above embodiments, for example comprising:

[0118] According to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network, a first activity of the computing power network of the target city is obtained; the main indicator value comprises a dynamic indicator value, and the secondary indicator value comprises a static indicator value.

[0119] According to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city, a performance score of the computing power network of the target city is obtained.

[0120] In another aspect, the embodiments of the present application also provide a processor-readable storage medium, which stores a computer program, the computer program being used to enable a processor to perform the steps of the method provided by the above embodiments, for example comprising:

[0121] According to the main indicator value, the secondary indicator value and the reference indicator value of the computing power network, a first activity of the computing power network of the target city is obtained; the main indicator value comprises a dynamic indicator value, and the secondary indicator value comprises a static indicator value.

[0122] According to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city, a performance score of the computing power network of the target city is obtained.

[0123] The processor-readable storage medium can be any available medium or data storage device that the processor can access, including but not limited to a magnetic storage (such as a floppy disk, a hard disk, a magnetic tape, a magneto-optical disk (MO) and the like), an optical storage (such as a CD, a DVD, a BD, a HVD and the like), and a semiconductor storage (such as a ROM, an EPROM, an EEPROM, a non-volatile memory (NAND FLASH), a solid state disk (SSD)) and the like.

[0124] The device embodiments described above are only schematic, wherein the units shown as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on a plurality of network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments. Those skilled in the art can understand and implement without creative labor.

[0125] Those skilled in the art can clearly understand the implementation of the embodiments by means of software and necessary general hardware platforms through the description of the above embodiments, and of course, the embodiments can also be implemented by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0126] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacement for some technical features thereof; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for scoring performance of a city computing power network, characterized in that, The method comprises the following steps: According to the main index value, the secondary index value and the reference index value of the computing power network, the first activity degree of the computing power network of the target city is obtained, which comprises: The main index value, the secondary index value and the reference index value of the computing power network in the target city are weighted and summed to obtain the first activity degree of the computing power network of the target city; The main index value includes the ratio of real-time occupied computing power to total computing power of the computing power network of the target city, and the ratio of real-time occupied backbone bandwidth to maximum backbone bandwidth; The secondary index value includes the ratio of the number of racks in use to the total number of racks in the target city; The reference index value includes the ratio of real-time occupied storage space to total storage space of the computing power network of the target city, the ratio of real-time active task number to total user number, and the ratio of computing network income to total digital economy; The weight of the main index value is higher than that of the secondary index value, and the weight of the secondary index value is higher than that of the reference index value; the main index value includes dynamic index value, and the secondary index value includes static index value; According to the first activity degree of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city, the performance score of the computing power network of the target city is obtained; The coverage breadth of the computing power network of the target city is determined based on the following method: The ratio of the number of digital transformation industries to the number of national statistics industries in the target city is calculated to obtain the coverage breadth of the computing power network of the target city; The coverage depth of the computing power network of the target city is determined based on the following method: The main index value, the secondary index value and the reference index value of the computing power network of any target digital transformation industry in the target city are weighted and summed to obtain the second activity degree of the computing power network of any target digital transformation industry in the target city; the target digital transformation industry is the digital transformation industry with high ranking in the sequence formed by ranking the digital transformation industries according to the industrial scale from large to small; The product of the second activity degree of the computing power network of each target digital transformation industry and the industrial scale of the corresponding target digital transformation industry is summed up to obtain the total active scale of the computing power network of the target digital transformation industry; The ratio of the total active scale of the computing power network to the total digital economy of the target city is calculated to obtain the coverage depth of the computing power network of the target city.

2. The urban computing network performance scoring method of claim 1, wherein, The performance score of the computing power network of the target city is obtained according to the first activity degree of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city, which comprises: The first activity degree of the computing power network of the target city, the coverage breadth of the computing power network of the target city and the coverage depth of the computing power network of the target city are weighted and summed to obtain the performance score of the computing power network of the target city.

3. The urban computing network performance scoring method of claim 1, wherein, After obtaining the first activity degree of the computing power network of the target city, the following steps are included: The values between the maximum and minimum of the first activity of the computing power network of all cities in the country are divided from large to small into a first interval, a second interval, a third interval, and a fourth interval; If the first activity of the computing power network of the target city belongs to the first interval, it is determined that the level of the first activity of the computing power network of the target city is excellent; If the first activity of the computing power network of the target city belongs to the second interval, it is determined that the level of the first activity of the computing power network of the target city is good; If the first activity of the computing power network of the target city belongs to the third interval, it is determined that the level of the first activity of the computing power network of the target city is medium; If the first activity of the computing power network of the target city belongs to the fourth interval, it is determined that the level of the first activity of the computing power network of the target city is poor.

4. An urban computing network performance scoring apparatus, comprising: The computer program is executed by the processor to implement the steps of the city computing power network performance scoring method of any one of claims 1 to 3. The activity calculation module is configured to obtain the first activity of the computing power network of the target city according to the main index value, the secondary index value, and the reference index value of the computing power network; the main index value includes a dynamic index value, and the secondary index value includes a static index value. The performance scoring module is configured to obtain the performance score of the computing power network of the target city according to the first activity of the computing power network of the target city, the coverage breadth of the computing power network of the target city, and the coverage depth of the computing power network of the target city.

5. An electronic device comprising a processor and a memory having a computer program stored therein, characterized in that, The processor executes the computer program to implement the steps of the city computing power network performance scoring method of any one of claims 1 to 3.

6. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the city computing power network performance scoring method of any one of claims 1 to 3.

7. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the city computing power network performance scoring method of any one of claims 1 to 3.

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