CN115756823B - Service issuing method, device, vehicle and storage medium - Google Patents
Service issuing method, device, vehicle and storage medium Download PDFInfo
- Publication number
- CN115756823B CN115756823B CN202211289736.6A CN202211289736A CN115756823B CN 115756823 B CN115756823 B CN 115756823B CN 202211289736 A CN202211289736 A CN 202211289736A CN 115756823 B CN115756823 B CN 115756823B
- Authority
- CN
- China
- Prior art keywords
- service
- vehicle
- utilization rate
- resource utilization
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 61
- 230000006870 function Effects 0.000 claims description 66
- 230000001133 acceleration Effects 0.000 claims description 15
- 230000035772 mutation Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 230000014759 maintenance of location Effects 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 3
- 230000001174 ascending effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000002716 delivery method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the application provides a service release method, a service release device, a vehicle and a storage medium, and relates to the technical field of vehicles. The method comprises the following steps: acquiring the utilization rate of vehicle-end resources of a vehicle in a plurality of operation stages, wherein the plurality of operation stages are divided according to the operation state of the vehicle and the utilization rate of the vehicle-end resources; determining the target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates of a plurality of operation stages; and releasing new service according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value, so that the resource use condition and the service upgrading feasibility can be judged in advance, and the running jam and running burst risks of the service caused by resource problems are reduced.
Description
Technical Field
The embodiment of the application relates to the technical field of vehicles, in particular to a service release method, a service release device, a vehicle and a storage medium.
Background
With the development of vehicle technology, vehicles can provide more and more services, and services installed on vehicles are also more and more. However, the hardware resources of the vehicle are limited, the service release mode related to the vehicle does not consider the use condition of the resources at present, and the conditions of more running applications, clamping and the like possibly exist after the service release, so that the vehicle cannot respond in time due to too high load, and even is blocked.
Disclosure of Invention
The embodiment of the application provides a service release method, a device, a vehicle and a storage medium, so as to solve the problems.
In a first aspect, an embodiment of the present application provides a service publishing method. The method comprises the following steps: acquiring the utilization rate of vehicle end resources of a vehicle in a plurality of operation stages, wherein the operation stages are divided according to the operation state of the vehicle and the utilization rate of the vehicle end resources; determining a target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates of the multiple operation stages; and issuing new service according to the comparison result of the target vehicle-end resource utilization rate and a preset utilization rate threshold value.
In a second aspect, embodiments of the present application provide a service publishing device. The device comprises: the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring the utilization rate of vehicle-end resources of a vehicle in a plurality of operation stages, and the plurality of operation stages are divided according to the operation state of the vehicle and the utilization rate of the vehicle-end resources; the determining module is used for determining the target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates of the plurality of operation stages; and the release module is used for releasing the new service according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value.
In a third aspect, embodiments of the present application provide a vehicle. The vehicle includes a memory, one or more processors, and one or more applications. Wherein the one or more application programs are stored in the memory and configured to, when invoked by the one or more processors, cause the one or more processors to perform the methods provided by the embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium. The computer readable storage medium has stored therein program code configured to, when invoked by a processor, cause the processor to perform the methods provided by the embodiments of the present application.
The embodiment of the application provides a service release method, a device, a vehicle and a storage medium, wherein the method determines the target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates in a plurality of operation stages, and releases new service according to the comparison result of the target vehicle-end resource utilization rate and a preset utilization rate threshold value, so that the resource utilization condition and the service upgrading feasibility can be judged in advance, and the risk of operation blockage and running collapse of the service caused by resource problems is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of a service publishing method according to an exemplary embodiment of the present application;
FIG. 2 is a flow chart of a service distribution method according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of a service delivery method according to another embodiment of the present application;
FIG. 4 is a flowchart of a service publishing method according to another embodiment of the present application;
FIG. 5 is a flowchart of a service publishing method according to another embodiment of the present application;
FIG. 6 is a block diagram of a service delivery device according to an embodiment of the present application;
FIG. 7 is a block diagram of a vehicle according to an embodiment of the present application;
fig. 8 is a block diagram of a computer readable storage medium according to an embodiment of the present application.
Detailed Description
In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of an application scenario of a service publishing method according to an exemplary embodiment of the present application. The service distribution system 100 includes a data acquisition module 110, a data reporting module 120, and a service distribution module 130. The data acquisition module 110 is used for acquiring vehicle-end data, such as speed, acceleration and ignition signals of a vehicle. The data reporting module 120 is configured to report the data collected by the data collecting module 110 to the service publishing module 130. The service issuing module 130 is configured to determine a service issuing scheme according to the received vehicle-end data, and execute a service issuing operation. The data acquisition module 110, the data reporting module 120, and the service distribution module 130 are disposed on the same vehicle.
Referring to fig. 2, fig. 2 is a flowchart of a service publishing method according to an embodiment of the present application. The service distribution method may be applied to the service distribution module 130 in the service distribution system 100 shown in fig. 1 described above, or the service distribution apparatus 200 shown in fig. 6, which will be mentioned below, or the vehicle 300 shown in fig. 7, which will be mentioned below. The service distribution method may include the following steps S110 to S130.
Step S110, obtaining the utilization rate of vehicle end resources of the vehicle in a plurality of operation stages, wherein the operation stages are divided according to the operation states of the vehicle and the utilization rate of the vehicle end resources.
The operating phases refer to a plurality of phases of the vehicle during running. The plurality of operating phases may include, but are not limited to, a start phase, a sleep phase, an acceleration driving phase, and a smooth running phase. The plurality of operation phases may be predetermined before the service release is started, or may be determined in the service release flow.
The vehicle-end resource utilization rate refers to the current utilization rate of all hardware resources of the vehicle end, namely the ratio of the occupation amount of all hardware resources of the vehicle end to the total amount. One operation phase may correspond to at least two vehicle-side resource utilization rates. For example, the vehicle-end resource utilization corresponding to the highest risk time and the vehicle-end resource utilization corresponding to the lowest risk time.
In some embodiments, the dividing of the plurality of operational phases is as follows: acquiring the running state, the utilization rate of vehicle end resources, an ignition signal, a speed signal and an acceleration signal of a vehicle; and dividing a plurality of operation stages according to the operation state, the utilization rate of vehicle-end resources, the ignition signal, the speed signal and the acceleration signal.
The running state of the vehicle refers to the working condition of the vehicle during running. For example, in terms of the movement pattern of the vehicle, the running state of the vehicle may include, but is not limited to, starting, accelerating, constant speed, decelerating, turning, ascending and descending a slope, and stopping. In terms of the control mode employed by the driver, the operating state of the vehicle may include, but is not limited to, shift speed, coasting (e.g., out-of-gear coasting, neutral coasting, accelerating coasting, parking coasting), braking (e.g., emergency braking, speed control braking, braking), throttle control, steering, and reversing.
The vehicle can directly read the current running state of the vehicle, the utilization rate of vehicle-end resources, an ignition signal, a speed signal and an acceleration signal.
In some embodiments, the steps of dividing the plurality of operational phases according to the operational state, the vehicle end resource utilization, the ignition signal, the speed signal, and the acceleration signal are as follows: identifying a resource utilization rate mutation point according to the running state and the vehicle-end resource utilization rate; dividing a plurality of operation stages according to the resource utilization rate abrupt points, the ignition signals, the speed signals and the acceleration signals; and acquiring service running time, matching the service running time with the time corresponding to the plurality of running phases, and determining service sequences corresponding to the plurality of running phases.
Because the abrupt change of the vehicle-end resource utilization rate is caused by the change of the operation stage, the abrupt change point of the resource utilization rate can be identified according to the operation state and the vehicle-end resource utilization rate, and then the operation stage is divided according to the abrupt change point of the resource utilization rate, an ignition signal, a speed signal and an acceleration signal. After the operation phases are divided, the service and the time corresponding to the operation phases can be matched according to the service operation time so as to determine the service sequence corresponding to each operation phase, and therefore the utilization rate of the vehicle-end resources corresponding to each operation phase can be calculated according to the resources occupied by the service sequence corresponding to each operation phase.
After the operation phases are determined, service sequences corresponding to the operation phases can be obtained, and the utilization rate of vehicle resources of the vehicle in the operation phases is calculated according to the service sequences corresponding to the operation phases.
In some embodiments, the first preset relationship function between the resource utilization of the service P, the operating phase of the vehicle, and the time may be represented as X (C, T, P), where X represents the resource utilization of the service, C represents the operating phase of the vehicle, and T represents the time. The second preset relationship function between the vehicle end resource utilization, the operation phase of the vehicle, and the time may be expressed as Q (C, T, P1, P2, …, pn), where Q represents the vehicle end resource utilization, C represents the operation phase of the vehicle, T represents the time, and P1-Pn represents the service that all users have installed or are about to install. The function analysis formula of the second preset relation function λq (C, T, P1, P2, …, pn) and the first preset relation function X (C, T, P) can be obtained by fitting based on historical data or simulation environment test data. Note that n and m to be mentioned next in the embodiments of the present application are positive integers.
As an example, the service P1 is triggered at times T1, T2 and T3 of the operation stage C, and the resource utilization of the vehicle end and the resource utilization of the service corresponding to times T1, T2 and T3 may be recorded as shown in table 1.
TABLE 1
According to the service sequences corresponding to the operation phases, the vehicle-end resource utilization rate at the highest risk moment and the vehicle-end resource utilization rate at the lowest risk moment corresponding to the operation phases can be calculated. The highest risk time refers to the time when the possibility that the vehicle cannot respond to even the jam problem in time is maximum, and the utilization rate of vehicle-end resources is generally higher at the moment. The lowest risk time refers to the time when the possibility that the vehicle cannot respond to even the jam problem in time is minimum, and the utilization rate of vehicle-end resources is low at the moment generally.
In some embodiments, calculating the vehicle-side resource utilization at the highest risk moment for each operational phase includes the steps of: and calculating the sum of the highest utilization rate of the resources of the service P and the highest utilization rate of the resources of other services as the vehicle-end resource utilization rate at the highest risk moment, wherein the service P is any installed or to-be-installed service.
For example, the service P operates in the operating phases C1, C2, …, cm of the vehicle. At time T1 of the Ci operation phase, the resource utilization of service P is at most X (Ci, T1, P), where i is less than or equal to m and greater than or equal to 1. At the time T2 of the Ci operation stage, the highest resource utilization rate of other services is Q (Ci, T2, P1, P2, …, pn) -X (Ci, T2, P1), and then the vehicle end resource utilization rate H (Ci) at the time of the highest risk of the Ci operation stage is calculated according to the following expression:
H(Ci)＝X(Ci,T1,P)+[Q(Ci,T2,P1,P2,…,Pn)-X(Ci,T2,P1)]。
In some embodiments, calculating the vehicle-side resource utilization at the lowest risk moment of each operational phase includes the steps of: and calculating the sum of the minimum utilization rate of the resources of the service P and the minimum utilization rate of the resources of other services, and taking the sum as the vehicle-end resource utilization rate at the lowest risk moment. Where service P is any installed or to be installed service.
For example, at time T3 of the Ci operation phase, the resource utilization of service P is at a minimum X (Ci, T3, P), where i is less than or equal to m and greater than or equal to 1. At the time T4 of the Ci operation stage, the resource utilization rate of the service P is Q (Ci, T4, P1, P2, …, pn) -X (Ci, T4, P1) at the lowest resource utilization rate of other services, and the vehicle-end resource utilization rate L (Ci) at the lowest risk time of the Ci operation stage is calculated according to the following expression:
L(Ci)＝X(Ci,T3,P)+[Q(Ci,T4,P1,P2,…,Pn)-X(Ci,T4,P1)]。
according to the method, the vehicle-end resource utilization rate of the plurality of operation stages can be calculated and obtained, wherein the vehicle-end resource utilization rate of the plurality of operation stages comprises the vehicle-end resource utilization rate of the highest risk moment of the plurality of operation stages and the vehicle-end resource utilization rate of the lowest risk moment of the plurality of operation stages. For example, the utilization of the vehicle-end resources at the highest risk time of the plurality of operation phases is H (C1), H (C2), H (C3), …, H (Cm). The utilization rate of the vehicle-end resources at the lowest risk moment of a plurality of operation stages is L (C1), L (C2), L (C3), … and L (Cm).
Step S120, determining the target vehicle-end resource utilization according to the vehicle-end resource utilization of a plurality of operation stages.
The target vehicle-end resource utilization rate comprises at least one of a vehicle-end resource utilization rate corresponding to the highest risk moment and a vehicle-end resource utilization rate corresponding to the lowest risk moment.
According to the vehicle resource utilization rates of the plurality of operation phases, the target vehicle end resource utilization rate can be determined from the vehicle end resource utilization rates of the plurality of operation phases.
In some embodiments, the target vehicle-end resource utilization is a vehicle-end resource utilization corresponding to the highest risk moment, and a maximum value of the vehicle-end resource utilization in the multiple operation phases may be determined as the target vehicle-end resource utilization. For example, the maximum value of all of the vehicle-end resource utilization rates H (C1), H (C2), H (C3), …, H (Cm), and L (C1), L (C2), L (C3), …, L (Cm) may be determined as the target vehicle-end resource utilization rate. Because the utilization rate of the vehicle-end resource at the highest risk moment is often greater than that at the lowest risk moment, the maximum value MAX (C) of the utilization rates H (C1), H (C2), H (C3), …, H (Cm) of the vehicle-end resource at the highest risk moment in a plurality of operation phases can be determined as the target utilization rate, so as to save the calculation time.
In other embodiments, the target vehicle resource utilization is a vehicle-end resource utilization corresponding to the lowest risk moment, and the minimum value of the vehicle-end resource utilization in the multiple operation phases may be determined as the target vehicle-end resource utilization. For example, the minimum value of all of the vehicle-end resource utilization rates H (C1), H (C2), H (C3), …, H (Cm), and L (C1), L (C2), L (C3), …, and L (Cm) may be determined as the target vehicle-end resource utilization rate. Since the utilization rate of the vehicle-end resource at the highest risk moment is often greater than that at the lowest risk moment, the minimum value MIN (C) in the vehicle-end resource utilization rates L (C1), L (C2), L (C3), …, L (Cm) at the lowest risk moment in a plurality of operation phases can be determined as the target resource utilization rate, so as to save the calculation time.
In still other embodiments, the target vehicle-end resource utilization rate includes a vehicle-end resource utilization rate corresponding to a highest risk time and a target vehicle-end resource utilization rate corresponding to a lowest risk time, and the maximum value and the minimum value in the vehicle-end resource utilization rates in the multiple operation phases may be determined to be the target vehicle-end resource utilization rate. For example, the maximum value MAX (C) of the highest risk timings of the plurality of operation phases, H (C1), H (C2), H (C3), …, H (Cm) and the minimum value MIN (C) of the lowest risk timings of the plurality of operation phases, L (C1), L (C2), L (C3), …, L (Cm) may be determined as the target resource utilization.
Step S130, a new service is issued according to the comparison result of the target vehicle-end resource utilization and the preset utilization threshold.
The preset utilization threshold is preset and stored in the vehicle, and can be used for judging the utilization condition of the vehicle-end resources and the feasibility of service upgrading.
The basic principle of service release in the embodiment of the application is as follows: under the condition of ensuring the availability of the system, the service requirement of the user is met to the greatest extent, and the utilization resources of the vehicle end are saved to the greatest extent. Specifically, the following three points can be adopted for generalization:
1. the utilization rate of the vehicle-end resources at each stage of service P operation is always smaller than a preset utilization rate threshold value.
2. The publication service P may maximize the value of the overall service to the user.
3. The utilization rate of the vehicle-end resources is the lowest.
Specifically, the target vehicle-end resource utilization rate can be compared with a preset utilization rate threshold value, and a new service is issued according to the comparison result, so that the current vehicle-end resource utilization condition and service upgrading feasibility can be determined in advance, and whether to issue the new service is decided based on the judgment.
For example, if the target vehicle-end resource utilization is MAX (C) and MIN (C), the issuing of the new service according to the comparison result between the target vehicle-end resource utilization and the preset utilization threshold value at least includes the following three cases:
1) If MIN (C) is larger than or equal to the preset utilization rate threshold, the three points 1-3 are not met, and at the moment, no new service is issued to the vehicle end. Alternatively, the value of the new service and the value of the installed service may be compared at this time, and the installed service having a low value may be replaced with the new service having a high value, that is, the installed service having a low value may be uninstalled, and the new service having a high value may be installed.
2) If MAX (C) is smaller than or equal to the preset utilization threshold, the three points are met, and at the moment, new service can be released.
3) If the preset utilization rate threshold is larger than MIN (C) and smaller than MAX (C), a certain resource risk exists in the process of releasing the new service, and the vehicle can possibly fail to respond in time, the service release risk can be further analyzed, and whether to release the new service is determined according to the service release risk.
It should be noted that, the details of the implementation of the new service release are shown in the following steps S230, S330 and S430-S460, which are not described herein.
According to the service release method provided by the embodiment of the application, the target vehicle-end resource utilization rate is determined according to the vehicle-end resource utilization rates of a plurality of operation stages, and the new service is released according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value, so that the resource use condition and the service upgrading feasibility can be judged in advance, the service requirements of users can be met to the greatest extent under the condition that the availability of a system is ensured, the vehicle-end utilization resources are saved, and the running jam and running burst risks caused by the resource problem of the service are reduced. According to the method and the device for obtaining the optimal combination scheme, under the condition that the resource limitation is met, the optimal combination scheme can be automatically obtained, and therefore vehicle hardware resources can be fully utilized. In addition, the embodiment of the application calculates aiming at the operation stage of the specific service operation, so that the calculated amount can be reduced, and the service release efficiency is improved.
Referring to fig. 3, fig. 3 is a flowchart of a service publishing method according to another embodiment of the present application. The service distribution method may be applied to the service distribution module 130 in the service distribution system 100 shown in fig. 1 described above, or the service distribution apparatus 200 shown in fig. 6, which will be mentioned below, or the vehicle 300 shown in fig. 7, which will be mentioned below. The service distribution method may include the following steps S210 to S230.
Step S210, obtaining the utilization rate of vehicle end resources of the vehicle in a plurality of operation stages, wherein the operation stages are divided according to the operation states of the vehicle and the utilization rate of the vehicle end resources.
The specific description of step S210 is referred to the aforementioned step S110, and will not be repeated here.
Step S220, determining the maximum value of the vehicle-end resource utilization rates in a plurality of operation phases as a first target vehicle-end resource utilization rate.
The first target vehicle-end resource utilization rate in the embodiment of the application is the utilization rate corresponding to the highest risk moment, namely the possibility that the vehicle cannot respond in time or even is blocked under the first target vehicle-end resource utilization rate is highest.
The specific description of step S220 is referred to the aforementioned step S210, and will not be repeated here.
Step S230, if the first target vehicle end resource utilization is smaller than or equal to the preset utilization threshold, the new service release is determined.
When the utilization rate of the first target vehicle-end resource is smaller than or equal to a preset utilization rate threshold value, the vehicle-end system is available, and at the moment, a new service can be released.
In some embodiments, the new service may be sequentially released according to the value of the new service from high to low, and after each release of the new service, a service release process may be executed to determine whether to release the next new service, so as to ensure normal operation of the vehicle end and improve safety of the vehicle end.
In other embodiments, the current available resources of the system can be calculated according to the first target vehicle-end resource utilization rate, the target service can be selected from the new service according to the available resources from high to low according to the value of the new service, and the target service can be issued to the vehicle end in parallel, so that the service issuing time can be saved.
According to the service release method provided by the embodiment of the application, the target vehicle-end resource utilization rate is determined according to the vehicle-end resource utilization rates of a plurality of operation stages, and the new service is released according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value, so that the resource use condition and the service upgrading feasibility can be judged in advance, the service requirements of users can be met to the greatest extent under the condition that the availability of a system is ensured, the vehicle-end utilization resources are saved, and the running jam and running burst risks caused by the resource problem of the service are reduced.
Referring to fig. 4, fig. 4 is a flowchart of a service publishing method according to another embodiment of the present application. The service distribution method may be applied to the service distribution module 130 in the service distribution system 100 shown in fig. 1 described above, or the service distribution apparatus 200 shown in fig. 6, which will be mentioned below, or the vehicle 300 shown in fig. 7, which will be mentioned below. The service distribution method may include the following steps S310 to S330.
Step S310, obtaining the utilization rate of the vehicle end resources of the vehicle in a plurality of operation stages, wherein the operation stages are divided according to the operation states of the vehicle and the utilization rate of the vehicle end resources.
The specific description of step S310 is referred to the aforementioned step S110, and will not be repeated here.
Step S320, determining the minimum value of the vehicle-end resource utilization rates in the multiple operation phases as the second target vehicle-end resource utilization rate.
The second target vehicle-end resource utilization rate in the embodiment of the application is the utilization rate corresponding to the lowest risk moment, namely the possibility that the vehicle cannot respond in time or even is stuck under the second target vehicle-end resource utilization rate is lowest.
The specific description of step S320 is referred to the aforementioned step S210, and will not be repeated here.
Step S330, if the second target vehicle-end resource utilization is greater than or equal to the preset utilization threshold, it is determined that no new service is issued or that a new service is issued according to a service reservation weight, and the service reservation weight characterizes the value of the service.
When the resource utilization rate of the second target vehicle end is greater than or equal to the preset utilization rate threshold, the available resources of the system are less, and at the moment, it can be determined that no new service is released or that the new service is released according to the service reservation weight.
In some embodiments, the service reservation weight for each service is calculated as follows: obtaining a sum of a cost function of a target service and a cost function of all services (i.e., installed services or services to be installed), wherein the target service is one of all services; acquiring a first preset relation function among the resource utilization rate, the operation stage and the time of the target service; acquiring a second preset relation function among the utilization rate of the vehicle-end resources, the operation stage and the time; and calculating the service reservation weight of the target service according to the cost function of the target service, the sum of the cost functions of all the services, the first preset relation function and the second preset relation function.
In some embodiments, the step of obtaining a cost function for the target service is as follows: acquiring the trigger time of the target service and the trigger times corresponding to the trigger time, and constructing a service usage degree function according to the trigger time and the trigger times; acquiring a demand level acquisition time of a target service and a demand level corresponding to the demand level acquisition time, and constructing a service demand level function according to the demand level acquisition time and the demand level, wherein the demand level is determined by a user; and calculating a cost function of the target service according to the service usage degree function and the service demand degree function.
For ease of understanding, an example is provided herein to illustrate a detailed process of calculating service reservation weights taking the target service as service P. The triggering times of the service P are counted from zero, and the user clicks the service P once, so that the service P is triggered once, and the triggering times are increased by 1. The method can fit the time-dependent change of the triggering times corresponding to the triggering time to obtain a service usage degree function a (P, t), wherein a (P, t) represents the accumulated usage times of the user on the service P at the time t, the time t is input into the a (P, t), and the service triggering times of the user on the service P at the time t can be predicted. The service usage ascending gradient Δa may be calculated according to the following expression from the service usage function:
Δa＝[a(P,t1)-a(P,t2)]/(t1-t2)；
the greater the gradient of the increase in the service usage, the faster the user's increase in the service P.
The service P may be set to have a demand level of five stars, which indicates that the user has a higher demand for the service P when the user marks five stars for the service P, and sequentially decreases, and indicates that the user has a lowest demand for the service P when the user marks one star for the service P. The demand level acquisition time of the service P and the demand level corresponding to the demand level acquisition time can be acquired, the change condition of the demand level corresponding to the demand level acquisition time of the service P along with time is fitted, a service demand level function b (P, t) is obtained, b (P, t) represents the demand level of a user on the service P at the time t, the time t is input into the b (P, t), and the service demand level of the user on the service P at the time t can be predicted. The service demand level gradient Δb may be calculated from the service demand level function according to the following expression:
Δb＝[b(P,t1)-b(P,t2)]/(t1-t2)；
The larger the service demand level rising gradient, the faster the demand level of the user for the service P rises.
The cost function wP of the service P may be calculated from the service usage function and the service demand function according to the following expression:
and calculating the cost functions of other services according to the cost function of the service P, and calculating the sum of the cost functions of all the services to obtain a total cost function W-Sigma wPi, wherein the value range of i is 1-n, and n is the total number of the services.
As described above, the first preset relationship function between the resource utilization, the operation phase and the time of the service P may be X (C, T, P), and the second preset relationship function between the vehicle-side resource utilization, the operation phase and the time may be Q (C, T, P1, P2, …, pn). The service retention weight λp of the service P may be calculated from the cost function wP of the service P, the sum W of the cost functions of all the services (i.e., the total cost function), the first preset relationship function X (C, T, P), and the second preset relationship function Q (C, T, P1, P2, …, pn) according to the following expression:
λP＝∑∑[wP*X(Ci,,Tj)]/[W*Q(Ci,Tj,P1,P2,...,Pn)]
wherein the value range of i is '1, 2, …, m', m is the total number of running stages of the vehicle, and m is a positive integer. The value range of j is '1, 2, …, n', n is that n time trigger services P exist in the ith operation stage, and n is a positive integer.
And calculating the service reservation weight of each service according to the service reservation weight calculation mode of the service P, and sequencing according to the service reservation weight of each service so as to preferentially unload the service with the lowest service reservation weight when the service release risk exists or the service needs to be replaced.
In some embodiments, the release of new services according to the service retention weights may be sequentially released in order of the service retention weights from high to low. After each new service is released, a service release process can be executed to determine whether to release the next new service, so that the normal operation of the vehicle end is ensured, and the safety of the vehicle end is improved.
In other embodiments, the current available resources of the system can be calculated according to the utilization ratio of the resources at the second target vehicle end, the target service can be selected from the new services according to the order of the available resources from high to low according to the service reservation weight, and the target service can be issued to the vehicle end in parallel, so that the service issuing time can be saved.
According to the service release method provided by the embodiment of the application, the target vehicle-end resource utilization rate is determined according to the vehicle-end resource utilization rates of a plurality of operation stages, and the new service is released according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value, so that the resource use condition and the service upgrading feasibility can be judged in advance, the service requirements of users can be met to the greatest extent under the condition that the availability of a system is ensured, the vehicle-end utilization resources are saved, and the running jam and running burst risks caused by the resource problem of the service are reduced.
Referring to fig. 5, fig. 5 is a flowchart of a service publishing method according to another embodiment of the present application. The service distribution method may be applied to the service distribution module 130 in the service distribution system 100 shown in fig. 1 described above, or the service distribution apparatus 200 shown in fig. 6, which will be mentioned below, or the vehicle 300 shown in fig. 7, which will be mentioned below. The service distribution method may include the following steps S410 to S460.
Step S410, obtaining the utilization rate of the vehicle end resources of the vehicle in a plurality of operation phases, wherein the operation phases are divided according to the operation states of the vehicle and the utilization rate of the vehicle end resources.
Step S420, determining the maximum value of the vehicle-end resource utilization rates of the plurality of operation phases as the first target vehicle-end resource utilization rate, and determining the minimum value of the vehicle-end resource utilization rates of the plurality of operation phases as the second target vehicle-end resource utilization rate.
The specific descriptions of step S410 and step S420 refer to the foregoing step S110 and step S120, respectively, and are not repeated here.
Step S430, if the first target vehicle end resource utilization is less than or equal to the preset utilization threshold, determining to release the new service.
The specific description of step S430 is referred to the aforementioned step S230, and will not be repeated here.
Step S440, if the second target vehicle end resource utilization is greater than or equal to the preset utilization threshold, determining that the new service is not released or the new service is released according to the service reservation weight, wherein the service reservation weight characterizes the value of the service.
The step S440 is not specifically described with reference to the aforementioned step S330, and will not be described herein.
Step S450, if the first target vehicle-end resource utilization is greater than the preset utilization threshold, and the second target vehicle-end resource utilization is less than the preset utilization threshold, calculating a risk coefficient of service release according to the first target vehicle-end resource utilization.
In some embodiments, the risk coefficient ρ of the service release may be calculated according to the first target vehicle-side resource utilization using the following expression:
ρ＝MAX(C)/Δt；
the MAX (C) represents a first target vehicle end resource utilization rate (i.e., a vehicle end resource utilization rate when the resource utilization rate of the operation service reaches a peak value), and Δt represents a time difference value when the vehicle end resource utilization rates at the left and right sides of the time when the resource utilization rate of the operation service reaches the peak value reach the peak value.
Step S460, releasing new service according to the risk coefficient.
And if the risk coefficient is greater than or equal to a preset risk coefficient threshold value, determining that no new service is released.
And if the risk coefficient is smaller than a preset risk coefficient threshold, releasing a new service according to the service reservation weight, wherein the service reservation weight characterizes the value of the service.
In some embodiments, the release of new services according to the service retention weights may be sequentially released in order of the service retention weights from high to low. After each new service is released, a service release process can be executed to determine whether to release the next new service, so that the normal operation of the vehicle end is ensured, and the safety of the vehicle end is improved.
In other embodiments, the current available resources of the system can be calculated according to the first target vehicle-end resource utilization rate, the target service can be selected from the new services according to the order of the available resources from high to low according to the service reservation weight, and the target service can be issued to the vehicle end in parallel, so that the service issuing time can be saved.
In still other embodiments, publishing new services based on the service retention weights may display the service retention weights for all services to the user, receiving and publishing new services selected by the user.
According to the service release method provided by the embodiment of the application, the target vehicle-end resource utilization rate is determined according to the vehicle-end resource utilization rates of a plurality of operation stages, and the new service is released according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value, so that the resource use condition and the service upgrading feasibility can be judged in advance, the service requirements of users can be met to the greatest extent under the condition that the availability of a system is ensured, the vehicle-end utilization resources are saved, and the running jam and running burst risks caused by the resource problem of the service are reduced.
Referring to fig. 6, fig. 6 is a block diagram illustrating a service issuing apparatus according to an embodiment of the present application. The service issuing apparatus 200 may be applied to the service issuing module 130 in the service issuing system 100 shown in fig. 1 described above, or the vehicle 300 shown in fig. 7, which will be mentioned below. The service distribution device 200 includes an acquisition module 210, a determination module 220, and a distribution module 230.
An obtaining module 210, configured to obtain vehicle end resource utilization rates of a vehicle in a plurality of operation phases, where the plurality of operation phases are divided according to an operation state of the vehicle and the vehicle end resource utilization rates;
a determining module 220, configured to determine a target vehicle-end resource utilization according to the vehicle-end resource utilization in the multiple operation phases;
and the publishing module 230 is configured to publish a new service according to a comparison result between the target vehicle-end resource utilization and a preset utilization threshold.
In some embodiments, the determining module 220 is further configured to determine a maximum value of the end-of-vehicle resource utilization rates of the plurality of operation phases as the first target end-of-vehicle resource utilization rate. The publishing module 230 is further configured to determine to publish a new service if the first target peer resource utilization is less than or equal to a preset utilization threshold.
In some embodiments, the determining module 220 is further configured to determine a minimum value of the end-of-vehicle resource utilization rates of the plurality of operation phases as the second target end-of-vehicle resource utilization rate. The publishing module 230 is further configured to determine not to publish a new service or publish a service according to a service reservation weight, where the service reservation weight characterizes a value of the service, if the second target peer resource utilization is greater than or equal to a preset utilization threshold.
In some embodiments, the determining module 220 is further configured to determine a maximum value of the vehicle-end resource utilization rates of the plurality of operation phases as a first target vehicle-end resource utilization rate, and determine a minimum value of the vehicle-end resource utilization rates of the plurality of operation phases as a second target vehicle-end resource utilization rate. The issuing module 230 is further configured to calculate a risk coefficient of service issuing according to the first target vehicle-end resource utilization rate if the first target vehicle-end resource utilization rate is greater than a preset utilization rate threshold value, and the second target vehicle-end resource utilization rate is less than the preset utilization rate threshold value; and releasing new services according to the risk coefficient.
In some embodiments, the publishing module 230 is further configured to determine not to publish a new service if the risk factor is greater than or equal to a preset risk factor threshold; and if the risk coefficient is smaller than the preset risk coefficient threshold, releasing the service according to the service reservation weight, wherein the service reservation weight represents the value of the service.
In some embodiments, the publishing module 230 is further configured to obtain a cost function of a target service and a sum of cost functions of all services, where the target service is one of all services; acquiring a first preset relation function among the resource utilization rate, the operation stage and the time of the target service; acquiring a second preset relation function among the utilization rate of the vehicle-end resources, the operation stage and the time; and calculating the service reservation weight of the target service according to the cost function of the target service, the sum of the cost functions of all the services, the first preset relation function and the second preset relation function.
In some embodiments, the publishing module 230 is further configured to obtain a trigger time of the target service and a trigger number corresponding to the trigger time, and construct a service usage function according to the trigger time and the trigger number; acquiring a demand level acquisition time of the target service and a demand level corresponding to the demand level acquisition time, and constructing a service demand level function according to the demand level acquisition time and the demand level, wherein the demand level is determined by a user; and calculating a cost function of the target service according to the service usage degree function and the service demand degree function.
In some embodiments, the obtaining module 210 is further configured to obtain an operating state of the vehicle, a vehicle end resource utilization, an ignition signal, a speed signal, and an acceleration signal; dividing the operation stages according to the operation state, the utilization rate of vehicle-end resources, the ignition signal, the speed signal and the acceleration signal.
In some embodiments, the obtaining module 210 is further configured to identify a resource utilization mutation point according to the running state and the vehicle end resource utilization; dividing the plurality of operation stages according to the resource utilization mutation point, the ignition signal, the speed signal and the acceleration signal; and acquiring service running time, matching according to the service running time and the time corresponding to the plurality of running phases, and determining service sequences corresponding to the plurality of running phases.
Those skilled in the art can clearly understand that the service issuing device 200 provided in the embodiment of the present application may implement the service issuing method provided in the embodiment of the present application. The specific working process of the device and the module may refer to a process corresponding to the service release method in the embodiment of the present application, which is not described herein again.
In the embodiments provided herein, the modules shown or discussed are coupled, directly coupled, or communicatively coupled to each other via some interfaces, devices, or modules, which may be electrical, mechanical or otherwise.
In addition, each functional module in the embodiments of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in a functional module of a service, which is not limited herein.
Referring to fig. 7, fig. 7 is a block diagram of a vehicle according to an embodiment of the present application. The vehicle 300 may include one or more of the following components: memory 310, one or more processors 320, and one or more applications, wherein the one or more applications may be stored in memory 310 and configured to, when invoked by the one or more processors 320, cause the one or more processors 320 to perform the above-described service distribution methods provided by embodiments of the present application.
Processor 320 may include one or more processing cores. The processor 320 utilizes various interfaces and lines to connect various portions of the overall vehicle 300 for executing or executing instructions, programs, code sets, or instruction sets stored in the memory 310, and invoking execution or execution of data stored in the memory 310, performing various functions of the vehicle 300 and processing data.
In some implementations, the processor 320 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and editable logic array (Programmable Logic Array, PLA).
In some implementations, the processor 320 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU) and a modem. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for being responsible for rendering and drawing of display content; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 320 and may be implemented solely by a single communication chip.
The Memory 310 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). Memory 310 may be used to store instructions, programs, code, sets of codes, or sets of instructions. Memory 310 may include a stored program area and a stored data area. The storage program area may store instructions for implementing an operating system, instructions for implementing at least one function, instructions for implementing the various method embodiments described above, and the like. The storage data area may store data created by the vehicle 300 in use, etc.
Referring to fig. 8, fig. 8 is a block diagram of a computer readable storage medium according to an embodiment of the present application. The computer readable storage medium 400 stores therein a program code 410, the program code 410 being configured to, when called by a processor, cause the processor to execute the above-described service distribution method provided by the embodiments of the present application.
The computer readable storage medium 400 may be an electronic Memory such as a flash Memory, an Electrically erasable programmable read-Only Memory (EEPROM), an erasable programmable read-Only Memory (EPROM), a hard disk, or a ROM.
In some implementations, the computer-readable storage medium 400 includes a Non-volatile computer-readable medium (Non-Transitory Computer-Readable Storage Medium, non-TCRSM). The computer readable storage medium 400 has storage space for program code 410 that performs any of the method steps described above. These program code 410 can be read from or written to one or more computer program products. Program code 410 may be compressed in a suitable form.
In summary, the embodiments of the present application provide a service publishing method, device, vehicle and storage medium, and relate to the technical field of vehicles. The method comprises the following steps: acquiring the utilization rate of vehicle-end resources of a vehicle in a plurality of operation stages, wherein the plurality of operation stages are divided according to the operation state of the vehicle and the utilization rate of the vehicle-end resources; determining the target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates of a plurality of operation stages; and releasing new service according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value, so that the resource use condition and the service upgrading feasibility can be judged in advance, and the running jam and running burst risks of the service caused by resource problems are reduced.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not drive the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A service distribution method, comprising:
acquiring the running state of a vehicle, the utilization rate of vehicle-end resources, an ignition signal, a speed signal and an acceleration signal, wherein the utilization rate of the vehicle-end resources comprises the current utilization rate of all hardware resources of the vehicle-end;
identifying a resource utilization mutation point according to the running state and the vehicle-end resource utilization rate;
dividing a plurality of operation stages according to the resource utilization rate abrupt change point, the ignition signal, the speed signal and the acceleration signal;
acquiring service running time, matching according to the service running time and the time corresponding to the plurality of running phases, and determining service sequences corresponding to the plurality of running phases;
Calculating respective corresponding vehicle-end resource utilization rates according to resources occupied by the service sequences corresponding to the operation phases, wherein each operation phase at least corresponds to the vehicle-end resource utilization rate corresponding to the highest risk moment and the vehicle-end resource utilization rate corresponding to the lowest risk moment;
determining a target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates of the plurality of operation phases, wherein the target vehicle-end resource utilization rate comprises at least one of a minimum value and a maximum value in the vehicle-end resource utilization rates of the plurality of operation phases;
and issuing new service according to the comparison result of the target vehicle-end resource utilization rate and a preset utilization rate threshold value.
2. The method of claim 1, wherein the step of determining the target peer resource utilization based on the peer resource utilizations of the plurality of operational phases comprises:
determining the maximum value of the vehicle-end resource utilization rates of the multiple operation stages as a first target vehicle-end resource utilization rate;
the step of releasing the new service according to the comparison result of the target vehicle end resource utilization rate and the preset utilization rate threshold value comprises the following steps:
and if the utilization rate of the first target vehicle-end resource is smaller than or equal to a preset utilization rate threshold value, determining to release new services.
3. The method of claim 1, wherein determining the target peer resource utilization based on the peer resource utilizations for the plurality of operational phases comprises:
determining the minimum value in the vehicle-end resource utilization rates of the multiple operation stages as a second target vehicle-end resource utilization rate;
the step of releasing the new service according to the comparison result of the target vehicle end resource utilization rate and the preset utilization rate threshold value comprises the following steps:
and if the resource utilization rate of the second target vehicle end is greater than or equal to a preset utilization rate threshold, determining that no new service is released or that the new service is released according to a service reservation weight, wherein the service reservation weight characterizes the value of the service.
4. The method of claim 1, wherein the step of determining the target peer resource utilization based on the peer resource utilizations of the plurality of operational phases comprises:
determining the maximum value of the vehicle-end resource utilization rates of the operation phases as a first target vehicle-end resource utilization rate, and determining the minimum value of the vehicle-end resource utilization rates of the operation phases as a second target vehicle-end resource utilization rate;
the step of releasing the new service according to the comparison result of the target vehicle end resource utilization rate and the preset utilization rate threshold value comprises the following steps:
If the first target vehicle-end resource utilization rate is greater than a preset utilization rate threshold value, and the second target vehicle-end resource utilization rate is less than the preset utilization rate threshold value, calculating a risk coefficient of service release according to the first target vehicle-end resource utilization rate;
and releasing new services according to the risk coefficient.
5. The method of claim 4, wherein the step of distributing new services based on the risk factors comprises:
if the risk coefficient is greater than or equal to a preset risk coefficient threshold value, determining that no new service is released;
and if the risk coefficient is smaller than the preset risk coefficient threshold, issuing a new service according to a service reservation weight, wherein the service reservation weight represents the value of the service.
6. The method according to claim 3 or 5, wherein the step of calculating the service reservation weight for each service comprises:
obtaining a sum of a cost function of a target service and a cost function of all services, wherein the target service is one of all services;
acquiring a first preset relation function among the resource utilization rate, the operation stage and the time of the target service;
acquiring a second preset relation function among the utilization rate of the vehicle-end resources, the operation stage and the time;
And calculating the service reservation weight of the target service according to the cost function of the target service, the sum of the cost functions of all the services, the first preset relation function and the second preset relation function.
7. The method of claim 6, wherein the step of obtaining a cost function for the target service comprises:
acquiring the trigger time of the target service and the trigger times corresponding to the trigger time, and constructing a service usage degree function according to the trigger time and the trigger times;
acquiring a demand level acquisition time of the target service and a demand level corresponding to the demand level acquisition time, and constructing a service demand level function according to the demand level acquisition time and the demand level, wherein the demand level is determined by a user;
and calculating a cost function of the target service according to the service usage degree function and the service demand degree function.
8. A service distribution apparatus, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring the running state of a vehicle, the utilization rate of vehicle-end resources, an ignition signal, a speed signal and an acceleration signal, wherein the utilization rate of the vehicle-end resources comprises the current utilization rate of all hardware resources of a vehicle-end; identifying a resource utilization mutation point according to the running state and the vehicle-end resource utilization rate; dividing a plurality of operation stages according to the resource utilization rate abrupt change point, the ignition signal, the speed signal and the acceleration signal; acquiring service running time, matching according to the service running time and the time corresponding to the plurality of running phases, and determining service sequences corresponding to the plurality of running phases; calculating respective corresponding vehicle-end resource utilization rates according to resources occupied by the service sequences corresponding to the operation phases, wherein each operation phase at least corresponds to the vehicle-end resource utilization rate corresponding to the highest risk moment and the vehicle-end resource utilization rate corresponding to the lowest risk moment;
The determining module is used for determining a target vehicle-end resource utilization rate according to the vehicle-end resource utilization rates of the plurality of operation phases, wherein the target vehicle-end resource utilization rate comprises at least one of the minimum value and the maximum value of the vehicle-end resource utilization rates of the plurality of operation phases;
and the release module is used for releasing the new service according to the comparison result of the target vehicle-end resource utilization rate and the preset utilization rate threshold value.
9. A vehicle, characterized by comprising:
a memory;
one or more processors;
one or more applications, wherein the one or more applications are stored in the memory and configured to, when invoked by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a program code configured to, when invoked by a processor, cause the processor to perform the method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211289736.6A CN115756823B (en) | 2022-10-20 | 2022-10-20 | Service issuing method, device, vehicle and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211289736.6A CN115756823B (en) | 2022-10-20 | 2022-10-20 | Service issuing method, device, vehicle and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115756823A CN115756823A (en) | 2023-03-07 |
| CN115756823B true CN115756823B (en) | 2024-04-16 |
Family
ID=85352424
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211289736.6A Active CN115756823B (en) | 2022-10-20 | 2022-10-20 | Service issuing method, device, vehicle and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115756823B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106790341A (en) * | 2016-09-08 | 2017-05-31 | 大连海事大学 | The self-adaption deployment method of mobile web service application |
| CN107547746A (en) * | 2017-08-31 | 2018-01-05 | 广东欧珀移动通信有限公司 | Resource allocation method and related product |
| CN107818013A (en) * | 2016-09-13 | 2018-03-20 | 华为技术有限公司 | A kind of application scheduling method thereof and device |
| CN108874535A (en) * | 2018-05-14 | 2018-11-23 | 中国平安人寿保险股份有限公司 | A kind of task adjusting method, computer readable storage medium and terminal device |
| CN111026550A (en) * | 2019-11-29 | 2020-04-17 | 中国科学院深圳先进技术研究院 | Task scheduling method and device under container cloud environment, server and storage device |
| CN111274033A (en) * | 2020-01-19 | 2020-06-12 | 北京达佳互联信息技术有限公司 | Resource deployment method, device, server and storage medium |
| JP2020113144A (en) * | 2019-01-16 | 2020-07-27 | Kddi株式会社 | Information processing device, advertisement distribution method, and program |
| CN111666140A (en) * | 2020-05-28 | 2020-09-15 | 北京百度网讯科技有限公司 | Resource scheduling method, device, equipment and storage medium |
| CN114372714A (en) * | 2022-01-11 | 2022-04-19 | 浙江吉利控股集团有限公司 | Automatic vehicle allocation method, device, equipment, medium and program product |
| CN114501374A (en) * | 2021-12-13 | 2022-05-13 | 天翼物联科技有限公司 | Dynamic service deployment method, system, device and storage medium for Internet of vehicles |
| CN114493236A (en) * | 2022-01-21 | 2022-05-13 | 浙江吉利控股集团有限公司 | Service vehicle assignment method, service vehicle assignment device, service vehicle assignment apparatus, service vehicle assignment medium, and program product |
| CN114706934A (en) * | 2022-04-14 | 2022-07-05 | 广州小鹏自动驾驶科技有限公司 | Map loading method, map loading device, vehicle, and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11507111B2 (en) * | 2018-10-31 | 2022-11-22 | Uber Technologies, Inc. | Autonomous vehicle fleet management for improved computational resource usage |
| KR102650892B1 (en) * | 2021-04-12 | 2024-03-26 | 한국전자통신연구원 | Apparatus for container orchestration in geographically distributed multi cloud environment and method using the same |
-
2022
- 2022-10-20 CN CN202211289736.6A patent/CN115756823B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106790341A (en) * | 2016-09-08 | 2017-05-31 | 大连海事大学 | The self-adaption deployment method of mobile web service application |
| CN107818013A (en) * | 2016-09-13 | 2018-03-20 | 华为技术有限公司 | A kind of application scheduling method thereof and device |
| CN107547746A (en) * | 2017-08-31 | 2018-01-05 | 广东欧珀移动通信有限公司 | Resource allocation method and related product |
| CN108874535A (en) * | 2018-05-14 | 2018-11-23 | 中国平安人寿保险股份有限公司 | A kind of task adjusting method, computer readable storage medium and terminal device |
| JP2020113144A (en) * | 2019-01-16 | 2020-07-27 | Kddi株式会社 | Information processing device, advertisement distribution method, and program |
| CN111026550A (en) * | 2019-11-29 | 2020-04-17 | 中国科学院深圳先进技术研究院 | Task scheduling method and device under container cloud environment, server and storage device |
| CN111274033A (en) * | 2020-01-19 | 2020-06-12 | 北京达佳互联信息技术有限公司 | Resource deployment method, device, server and storage medium |
| CN111666140A (en) * | 2020-05-28 | 2020-09-15 | 北京百度网讯科技有限公司 | Resource scheduling method, device, equipment and storage medium |
| CN114501374A (en) * | 2021-12-13 | 2022-05-13 | 天翼物联科技有限公司 | Dynamic service deployment method, system, device and storage medium for Internet of vehicles |
| CN114372714A (en) * | 2022-01-11 | 2022-04-19 | 浙江吉利控股集团有限公司 | Automatic vehicle allocation method, device, equipment, medium and program product |
| CN114493236A (en) * | 2022-01-21 | 2022-05-13 | 浙江吉利控股集团有限公司 | Service vehicle assignment method, service vehicle assignment device, service vehicle assignment apparatus, service vehicle assignment medium, and program product |
| CN114706934A (en) * | 2022-04-14 | 2022-07-05 | 广州小鹏自动驾驶科技有限公司 | Map loading method, map loading device, vehicle, and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing;Jianqi Liu 等;《IEEE Communications Magazine》;第55卷(第7期);94-100 * |
| 基于车辆行为分析的智能车联网关键技术研究;张海霞 等;《电子与信息学报》;第42卷(第1期);36-49 * |
| 车联网中的任务迁移算法研究;吴亚兰;《中国博士学位论文全文数据库 工程科技II辑》;C034-2 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115756823A (en) | 2023-03-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110379180B (en) | Traffic signal control method, traffic signal control device and terminal equipment | |
| CN109144700B (en) | Method and device for determining timeout duration, server and data processing method | |
| CN108334396B (en) | Data processing method and device, and resource group creation method and device | |
| CN110413412B (en) | GPU (graphics processing Unit) cluster resource allocation method and device | |
| CN109710376A (en) | The dynamic dispatching method and device of container cluster management system | |
| CN109359060B (en) | Data extraction method, device, computing equipment and computer storage medium | |
| CN110750336A (en) | OpenStack virtual machine memory hot-expanding method | |
| CN115756823B (en) | Service issuing method, device, vehicle and storage medium | |
| CN106293805A (en) | The method and device that program loads | |
| CN109421678B (en) | Braking method, device, braking system and storage medium for automobile | |
| CN117022211B (en) | Anti-lock parking method, device, equipment and storage medium | |
| CN111813535A (en) | Resource configuration determining method and device and electronic equipment | |
| CN113377517A (en) | Thread scheduling method and system based on real-time operating system | |
| CN109916551B (en) | Brake performance detection method and device and electronic equipment | |
| CN116521374A (en) | Data processing method, device, vehicle and computer program product | |
| JP2007122527A (en) | Flow control method | |
| CN116150067A (en) | Bandwidth adjustment method, device, electronic equipment and storage medium | |
| CN112988355B (en) | Program task scheduling method and device, terminal equipment and readable storage medium | |
| CN114373314A (en) | Intersection signal control method and equipment | |
| CN110222016B (en) | File processing method and device | |
| US10009845B2 (en) | Activation method and portable terminal | |
| CN111124660A (en) | Method and device for allocating idle resources in virtual machine | |
| CN115963932B (en) | User pressing operation identification method and system based on optical flow sensor | |
| CN113830041B (en) | Auxiliary braking control method, device, equipment and storage medium | |
| CN111319600A (en) | Method and device for detecting braking efficiency and automobile |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |