CN108770014B - Calculation evaluation method, system and device of network server and readable storage medium - Google Patents
Calculation evaluation method, system and device of network server and readable storage medium Download PDFInfo
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- CN108770014B CN108770014B CN201810751804.3A CN201810751804A CN108770014B CN 108770014 B CN108770014 B CN 108770014B CN 201810751804 A CN201810751804 A CN 201810751804A CN 108770014 B CN108770014 B CN 108770014B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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Abstract
The application discloses a calculation evaluation method of a network server, which comprises the following steps: acquiring first state information of a network server; acquiring second state information of the mobile terminal; and evaluating the network level of the network server for the mobile terminal according to the first state information and the second state information. According to the scheme, the first state information of the network server and the second state information of the mobile terminal are combined, consideration of multiple factors is integrated to evaluate the network server, so that the network level of the network server to the mobile terminal can be obtained more objectively and pertinently, and the calculation task in the mobile terminal can be distributed more appropriately and effectively by utilizing the evaluated network level. Correspondingly, the application also discloses a computing evaluation system and device of the network server and a readable storage medium.
Description
Technical Field
The present invention relates to the field of internet systems, and in particular, to a method, a system, an apparatus, and a readable storage medium for computing and evaluating a web server.
Background
Nowadays, the hardware size and performance requirements of the user terminal create irreconcilable contradictions, so that the quality of service of the operation of the user terminal is limited. The cloud computing has emerged to break through hardware bottlenecks of user terminals, and allow users to conveniently and on demand use facilities, platforms, software services, and the like from cloud providers (such as google, microsoft, and the like). The method effectively breaks through the hardware limitation of the computing and storing capacity of the user terminal, greatly saves energy expenditure and promotes more novel services. The mobile cloud computing conforms to the development requirements of vast mobile application services, the traditional cloud computing is brought into a mobile environment (such as a vehicle-mounted network), so that a mobile user can access resources and services of a cloud platform anytime and anywhere, and the strong processing capacity and storage space of the cloud platform are utilized to provide stable technical support for further enhancing the service quality and improving the user experience. Based on the above advantages, the mobile cloud computing technology is also gradually introduced into a wide range of distributed networks in recent years, such as a vehicle-mounted network, a wireless sensor network, and an internet of things.
The car networking utilizes advanced sensing technology, network technology, computing technology, control technology and intelligent technology to comprehensively sense roads and traffic, and realizes large-range and large-capacity data transmission and interaction among a plurality of traffic systems, thereby ensuring traffic safety, improving traffic efficiency and enriching vehicle-mounted services. When the mobile cloud computing is combined with the internet of vehicles, heavy data storage and computing services can be unloaded to a remote cloud processor by a mobile vehicle-mounted user, and the cloud processor feeds back an output result to the vehicle-mounted user after certain network delay (including transmission delay, computing delay and the like).
However, with the era background of the increasing development of distributed networks and the number of global network access devices, mobile cloud computing is gradually exposed to the defects of difficulty in realizing load balancing, quick response, large-scale computing and the like. In the future, distributed networks face significant challenges in both network capacity and user traffic. According to the statistics and predictions associated with U.S. companies, the number of global vehicles has reached 12 billion in 2014 and has increased year by year at high speed, with an estimated 20 billion in 2035. Along with the sudden increase of vehicle-mounted users, massive user traffic waiting and timely processing can occur at the boundary of the Internet of vehicles. For example, when an on-board user uses the unmanned service, at least 2GB of image, audio, and related sensor data, etc. will be generated every second, and transmission and processing of such data needs to be completed within 1ms in order to ensure safe driving of the vehicle under unmanned conditions.
To solve the above problem, the moving edge calculation is performed. Taking the car networking as an example, the main aspect of the mobile edge computing is to distribute computing tasks in the car networking to computing entities with different distances and different computing capabilities according to a certain evaluation standard, so as to fully utilize computing resources in the network, effectively reduce computing time delay and improve computing real-time performance. Therefore, the evaluation criteria of device handover plays an extremely important role in the mobile edge calculation, and in the evaluation criteria, the evaluation of the network status and the parameter update are more important factors.
Currently, the evaluation of the network status is generally selected by considering factors of calculating time delay and bandwidth. However, the computing time delay and bandwidth cannot fully reflect the capability of the computing device, and it is not objective to evaluate the network state only by the computing time delay and bandwidth, and the computing device matched with the computing task cannot be effectively selected.
Therefore, how to provide a solution to the above technical problems is a problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a method, a system, a device and a readable storage medium for evaluating a network server, so as to obtain an accurate and objective evaluation result of the network server. The specific scheme is as follows:
a method of computing evaluation of a network server, comprising:
acquiring first state information of a network server;
acquiring second state information of the mobile terminal;
and evaluating the network level of the network server for the mobile terminal according to the first state information and the second state information.
Preferably, the process of evaluating the network level of the mobile terminal by the network server according to the first status information and the second status information specifically includes:
and evaluating the network level of the network server for the mobile terminal by utilizing a machine learning algorithm according to the first state information and the second state information.
Preferably, the machine learning algorithm is an Xgboost algorithm or an SVM algorithm.
Preferably, the calculation evaluation method further includes:
and determining an execution object of the computing task on the mobile terminal as the mobile terminal or the network server according to the network level and the computing capability of the mobile terminal.
Preferably, the first state information includes available computing resources in the network server and the number of the mobile terminals accessing the network server; the second state information comprises GPS information, vehicle speed, signal time delay and signal strength of the mobile terminal.
Preferably, the calculation evaluation method further includes:
acquiring parameter updating frequency according to the network level of the network server;
and executing the calculation evaluation method according to the parameter updating frequency.
Preferably, the process of obtaining the parameter update frequency according to the network level of the network server specifically includes:
and performing cluster analysis according to the network level of the network server to obtain the parameter updating frequency.
Correspondingly, the invention also discloses a computing evaluation system of the network server, which comprises the following components:
the first information module is used for acquiring first state information of a network server, wherein the first state information comprises available computing resources in the network server and the number of the mobile terminals accessed to the network server;
the second information module is used for acquiring second state information of the mobile terminal, wherein the second state information comprises GPS information, vehicle speed, signal time delay and signal strength of the mobile terminal;
and the evaluation module is used for evaluating the network level of the network server for the mobile terminal according to the first state information and the second state information.
Correspondingly, the invention also discloses a computing evaluation device of the network server, which comprises:
a memory for storing a computer program;
a processor for implementing the steps of the computational evaluation method of the network server as described above when executing the computer program.
Accordingly, the present invention also discloses a readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for computational evaluation of a network server as described above.
The invention discloses a calculation evaluation method of a network server, which comprises the following steps: acquiring first state information of a network server; acquiring second state information of the mobile terminal; and evaluating the network level of the network server for the mobile terminal according to the first state information and the second state information. According to the scheme, the first state information of the network server and the second state information of the mobile terminal are combined, consideration of multiple factors is integrated to evaluate the network server, so that the network level of the network server to the mobile terminal can be obtained more objectively and pertinently, and the calculation task in the mobile terminal can be distributed more appropriately and effectively by utilizing the evaluated network level.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart illustrating steps of a method for computing and evaluating a web server according to an embodiment of the present invention;
fig. 2 is a structural distribution diagram of a computing evaluation system of a network server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a calculation and evaluation method of a network server, which is shown in figure 1 and comprises the following steps:
s1: acquiring first state information of a network server;
specifically, the first state information includes available computing resources in the network server and the number of the mobile terminals accessing the network server; additionally, the first state information may also include a calculated time delay. According to the first state information, the size of the computing task which can be accepted by the network server can be judged.
S2: acquiring second state information of the mobile terminal;
specifically, the second state information includes GPS information, vehicle speed, signal delay, and signal strength of the mobile terminal. It is understood that the mobile terminal is usually located on a moving vehicle, and therefore the GPS information, the vehicle speed, and the like in the second state information of the mobile terminal represent information of the moving vehicle; the signal delay, i.e. the transmission delay, and the signal strength are the indication of whether the connection state of the mobile terminal and the network server is good or not. Typically, the second status information may be transmitted in the form of heartbeat packets.
S3: and evaluating the network level of the network server for the mobile terminal according to the first state information and the second state information.
It is understood that step S1 and step S2 are not in a definite sequence, as long as both steps S1 and S2 are completed before step S3.
The invention discloses a calculation evaluation method of a network server, which comprises the following steps: acquiring first state information of a network server; acquiring second state information of the mobile terminal; and evaluating the network level of the network server for the mobile terminal according to the first state information and the second state information. According to the scheme, the first state information of the network server and the second state information of the mobile terminal are combined, consideration of multiple factors is integrated to evaluate the network server, so that the network level of the network server to the mobile terminal can be obtained more objectively and pertinently, and the calculation task in the mobile terminal can be distributed more appropriately and effectively by utilizing the evaluated network level.
The embodiment of the invention discloses a specific calculation and evaluation method of a network server, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
step S3 specifically includes:
and evaluating the network level of the network server for the mobile terminal by utilizing a machine learning algorithm according to the first state information and the second state information.
More specifically, the machine learning algorithm is an Xgboost algorithm or an SVM (support vector machine) algorithm. Of course, the machine learning algorithm in this embodiment may also be other algorithms, which is not limited herein.
In general, the machine learning algorithm is configured in a network server, and the first state information and the second state information are placed in the machine learning algorithm for classification prediction of results. The process can obtain a prediction grade and then send the prediction grade to the mobile terminal, the mobile terminal evaluates the network grade of the network server, and the network grade of the mobile terminal can be obtained by direct classification prediction in the network server.
Further, the calculation and evaluation method further comprises the following steps:
and determining an execution object of the computing task on the mobile terminal as the mobile terminal or the network server according to the network level and the computing capability of the mobile terminal.
Determining an execution object of a calculation task on the mobile terminal as the mobile terminal or the network server by using a decision judgment formula according to the network level and the calculation capacity of the mobile terminal;
the decision-making judgment formula is S ═ α × C + β × N + γ ×, where α + β + γ ═ 1, S is a judgment result, C is the calculation capability of the mobile terminal, N is the network level, and M is the data size of the calculation task.
In the embodiment, the method is always applied to the machine learning algorithm, and the model of the machine learning algorithm is corrected and adjusted by continuously collecting various input state information, the obtained network level and the obtained decision result, so that the model is more accurate along with the increase of time and the number of users.
The embodiment of the invention discloses a specific calculation and evaluation method of a network server, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the calculation and evaluation method further includes:
acquiring parameter updating frequency according to the network level of the network server;
and executing the calculation evaluation method according to the parameter updating frequency.
Specifically, the process of obtaining the parameter update frequency according to the network level of the network server includes:
and performing cluster analysis according to the network level of the network server to obtain the parameter updating frequency.
It will be appreciated that the network levels of the network server, which are actually the result of evaluating and ranking the network status, map each network level to a corresponding parameter update frequency. The cluster analysis is to perform cluster learning on data in a training set by taking a network level as a label according to previously obtained first state information and second state information, mainly GPS information, vehicle speed and other information, and learning vector quantization is adopted here.
In the prior art, the updating frequency of parameters between a network server and a mobile terminal is fixed, which wastes computing power in some scenes with higher network states. The parameter updating frequency in the embodiment is acquired according to the network level, the flexibility is high, the parameter updating with different frequencies is carried out according to different network levels, so that the adaptive parameter updating is realized, the network state parameters can be dynamically updated, the mobile terminal is prevented from frequently requesting the network state updating to the network server, and the resources are efficiently utilized.
Correspondingly, the embodiment of the present invention further discloses a computing evaluation system of a network server, as shown in fig. 2, including:
a first information module 01, configured to obtain first state information of a network server, where the first state information includes available computing resources in the network server and the number of mobile terminals accessing the network server;
the second information module 02 is configured to acquire second state information of the mobile terminal, where the second state information includes GPS information of the mobile terminal, a vehicle speed, a signal delay, and a signal strength;
an evaluating module 03, configured to evaluate a network level of the network server for the mobile terminal according to the first status information and the second status information.
It is understood that the present embodiment has the same advantageous effects as the above-described embodiments.
Correspondingly, the invention also discloses a computing evaluation device of the network server, which comprises:
a memory for storing a computer program;
a processor for implementing the steps of the computational evaluation method of the network server as described above when executing the computer program.
Specifically, in this embodiment, for specific details of the calculation and evaluation method of the network server, reference may be made to the relevant description in the foregoing embodiments, and details are not described here again.
It is understood that the present embodiment has the same advantageous effects as the above-described embodiments.
Accordingly, the present invention also discloses a readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for computational evaluation of a network server as described above.
Specifically, in this embodiment, for specific details of the calculation and evaluation method of the network server, reference may be made to the relevant description in the foregoing embodiments, and details are not described here again.
It is understood that the present embodiment has the same advantageous effects as the above-described embodiments.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method, system, device and readable storage medium for computing and evaluating a network server provided by the present invention are described in detail above, and a specific example is applied in the present document to illustrate the principle and the implementation of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (7)
1. A method for computing evaluation of a network server, comprising:
acquiring first state information of a network server; the first state information comprises available computing resources in the network server and the number of mobile terminals accessed to the network server;
acquiring second state information of the mobile terminal; the second state information comprises GPS information, vehicle speed, signal time delay and signal strength of the mobile terminal;
evaluating the network level of the network server for the mobile terminal by utilizing a machine learning algorithm according to the first state information and the second state information;
acquiring parameter updating frequency according to the network level of the network server;
and executing the calculation evaluation method according to the parameter updating frequency.
2. The computational evaluation method of claim 1, wherein the machine learning algorithm is an Xgboost algorithm or an SVM algorithm.
3. The calculation evaluation method of claim 1, further comprising:
and determining an execution object of the computing task on the mobile terminal as the mobile terminal or the network server according to the network level and the computing capability of the mobile terminal.
4. The calculation evaluation method according to claim 1, wherein the process of obtaining the parameter update frequency according to the network level of the network server specifically comprises:
and performing cluster analysis according to the network level of the network server to obtain the parameter updating frequency.
5. A computing evaluation system of a network server, comprising:
the first information module is used for acquiring first state information of a network server, wherein the first state information comprises available computing resources in the network server and the number of mobile terminals accessed to the network server;
the second information module is used for acquiring second state information of the mobile terminal, wherein the second state information comprises GPS information, vehicle speed, signal time delay and signal strength of the mobile terminal;
an evaluation module, configured to evaluate, by using a machine learning algorithm, a network level of the network server for the mobile terminal according to the first state information and the second state information, obtain a parameter update frequency according to the network level of the network server, and execute the calculation evaluation method of the network server according to any one of claims 1 to 4 according to the parameter update frequency.
6. A computing evaluation apparatus of a network server, comprising:
a memory for storing a computer program;
processor for implementing the steps of the computational evaluation method of the network server according to any of claims 1 to 4 when executing said computer program.
7. A readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the calculation evaluation method of the network server according to one of claims 1 to 4.
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| CN113498076A (en) * | 2020-03-20 | 2021-10-12 | 北京三星通信技术研究有限公司 | O-RAN-based performance optimization configuration method and device |
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