CN114490096A - Burst cloud task processing method and system based on mobile internet - Google Patents
Burst cloud task processing method and system based on mobile internet Download PDFInfo
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Abstract
The application provides a method and a system for processing a sudden cloud task based on a mobile internet, a cloud data center server firstly acquires a computing task, then, determining a total difference in computing resource usage for all physical hosts based on the computing tasks, and determining that when the total difference in computing resource usage is a minimum, determining the mapping relationship between all physical hosts and the virtual machine server as the optimal mapping relationship, then the target virtual machine server obtains the target calculation task from the target user equipment and determines the target physical host according to the optimal mapping relationship, sending a resource acquisition request to a target physical host according to a target computing task, then receiving the resource acquisition request by the target physical host, and releasing the computing resources corresponding to the target computing task to the target virtual machine server, and finally generating response information by the target virtual machine server according to the computing resources. Therefore, when a sudden cloud task occurs, the balance of the whole virtual resources of the cloud data center is ensured, and the cloud computing efficiency is improved.
Description
Technical Field
The application belongs to the field of general data processing of the Internet industry, and particularly relates to a method and a system for processing a burst cloud task based on a mobile Internet.
Background
Cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved. When the computing demand of a sudden cloud task is met, the resource imbalance of the cloud environment may occur, and the computing efficiency and the computing speed are affected.
Disclosure of Invention
The embodiment of the application provides a method and a system for processing a burst cloud task based on a mobile internet, so as to keep balance of virtual resources in a cloud environment and improve cloud computing efficiency and speed under the condition of facing the burst cloud task.
In a first aspect, an embodiment of the present application provides a method for processing a cloud bursting task based on a mobile internet, including:
the method comprises the steps that a cloud data center server obtains computing tasks from a plurality of user devices;
the cloud data center server determines a total computing resource usage difference value of all physical hosts under a cloud data center environment according to the computing task, wherein the total computing resource usage difference value is used for measuring load balance of all the physical hosts, and when the total computing resource usage difference value is the minimum value, the mapping relation between all the physical hosts and the virtual machine server under the cloud data center environment is determined to be the optimal mapping relation;
a target virtual machine server acquires a target computing task from target user equipment, determines a target physical host according to the optimal mapping relation, and sends a resource acquisition request to the target physical host according to the target computing task, wherein the target virtual machine server is a virtual machine server under the cloud data center environment, the target physical host is a physical host under the cloud data center environment, and the target user equipment is user equipment in the plurality of user equipment;
the target physical host receives the resource acquisition request and releases the computing resources corresponding to the target computing task to the target virtual machine server;
and the target virtual machine server generates response information according to the computing resources and sends the response information to the target user equipment.
It can be seen that, in the embodiment of the present application, a cloud data center server first obtains computing tasks from a plurality of user devices, then determines a total computing resource usage difference value of all physical hosts in a cloud data center environment according to the computing tasks, and determines that a mapping relationship between the physical hosts and a virtual machine server in the cloud data center environment is an optimal mapping relationship when the total computing resource usage difference value is a minimum value, then a target virtual machine server obtains target computing tasks from the user devices, determines a target physical host according to the optimal mapping relationship, sends a resource obtaining request to the target physical host according to the target computing tasks, then the target physical host receives the resource obtaining request, and releases computing resources corresponding to the target computing tasks to the target virtual machine server, and finally, the target virtual machine server generates response information according to the computing resources and sends the response information to the target user equipment. Therefore, when a sudden cloud task occurs, the balance of the whole virtual resources of the cloud data center can be guaranteed, and the cloud computing efficiency and speed are improved.
In a second aspect, the present application provides a system for guiding mobile internet burst cloud task processing, including a cloud data center server, a user equipment, a physical host, and a virtual machine server, wherein,
the cloud data center server configured to perform the steps performed by the cloud data center server as in the first aspect described above;
the user equipment configured to perform the steps performed by the user equipment as in the first aspect above;
the physical host, configured to perform the steps performed by the physical host as in the first aspect above;
the virtual machine server is configured to perform the steps performed by the virtual machine server in the first aspect.
In a third aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in any one of the methods of the first aspect of the embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
Drawings
Fig. 1 is a schematic architecture diagram of a system for processing a mobile internet burst cloud task according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for processing a cloud bursting task based on a mobile internet according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be described below accurately and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to the listed steps or modules but may alternatively include other steps or modules not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a system for processing a mobile internet burst cloud task according to an embodiment of the present application. The system for processing the mobile internet burst cloud task comprises a cloud data center server 100, a physical host 200, a virtual machine server 300 and user equipment 400, wherein the cloud data center server 100 is in communication connection with the physical host 200 and the virtual machine server 300 respectively, a resource mapping relation exists between the physical host 200 and the virtual machine server 300, the user equipment 400 is in communication connection with the virtual machine server 300, the same physical host 200 can map a plurality of virtual machine servers 300, and the physical host 200 and the virtual machine servers 300 both comprise a plurality of servers. The cloud data center server 100 is configured to determine an optimal mapping relationship according to information such as the number of cloud programs requested by a user and a resource release degree of a current physical host, so that the physical host can release corresponding computing resources to the virtual machine server according to the optimal mapping relationship to respond to a user demand.
As shown in fig. 2, fig. 2 is a schematic flowchart of a method for processing a mobile internet burst cloud task according to an embodiment of the present application. As shown in the figure, the mobile internet burst cloud task processing method comprises the following steps:
step 201, a cloud data center server obtains computing tasks from a plurality of user devices.
The user equipment can send the computing tasks to the virtual machine server, and the computing tasks acquired by the cloud data center server can be all the computing tasks sent by the user at the current time or within a preset time period, and can also be certain types of computing tasks sent to the virtual machine by the user equipment.
Step 202, the cloud data center server determines a total computing resource usage difference value of all physical hosts in the cloud data center environment according to the computing task, and determines that when the total computing resource usage difference value is a minimum value, a mapping relationship between all the physical hosts and a virtual machine server in the cloud data center environment is an optimal mapping relationship.
Wherein the computing resource uses the total difference value to measure the load balance of all the physical hosts. If the total difference value of the computing resource usage is larger, it is indicated that the load degrees of all the physical host nodes in the cloud data center environment are unbalanced, so that some physical hosts are in an overload state, and other physical hosts are in resource transition idle state, which results in unbalanced resource mapping. Therefore, when the total difference value of the computing resource usage is the minimum value, the load degrees of all the physical hosts in the cloud data center environment are relatively balanced, so that the virtual resources in the whole cloud environment are in a balanced state.
Step 203, the target virtual machine server obtains a target calculation task from the target user equipment, and determines a target physical host according to the optimal mapping relation;
step 204, the target physical host receives the resource obtaining request and releases the computing resource corresponding to the target computing task to the target virtual machine server;
step 205, the target virtual machine server generates response information according to the computing resource, and sends the response information to the target user equipment.
The target virtual machine server is a virtual machine server in the cloud data center environment, the target physical host is a physical host in the cloud data center environment, and the target user equipment is user equipment in the plurality of user equipment. The computing tasks lifted by the cloud users are firstly subjected to network function virtualization processing through the virtual machine server and then mapped to the physical host. Therefore, the virtual machine server needs to determine a target physical host with which a mapping relationship exists according to the optimal mapping relationship, and then request cloud computing resources from the target physical host.
It can be seen that, in this example, a cloud data center server first obtains computing tasks from a plurality of user devices, then determines a total computing resource usage difference value of all physical hosts in a cloud data center environment according to the computing tasks, and determines that when the total computing resource usage difference value is a minimum value, a mapping relationship between all the physical hosts and a virtual machine server in the cloud data center environment is an optimal mapping relationship, then a target virtual machine server obtains a target computing task from a user device, determines a target physical host according to the optimal mapping relationship, sends a resource obtaining request to the target physical host according to the target computing task, then the target physical host receives the resource obtaining request, and releases computing resources corresponding to the target computing task to the target virtual machine server, and finally, the target virtual machine server generates response information according to the computing resources and sends the response information to the target user equipment. Therefore, when a sudden cloud task occurs, the balance of the whole virtual resources of the cloud data center can be guaranteed, the cloud computing efficiency and speed are improved, and the cloud data center environment can respond to more cloud computing tasks in a shorter time.
In one possible example, the determining a total difference in computing resource usage for all physical hosts in the cloud datacenter environment according to the computing task includes: determining a resource mapping relation parameter of each physical host relative to each virtual machine server in a preset time slot according to the calculation task, wherein the resource mapping relation parameter is used for indicating whether the physical host releases resources to the virtual machine server in the preset time slot; acquiring a first load degree of each physical host and a second load degree of each virtual machine server, wherein the first load degree is used for indicating the resource use condition of the physical host, and the second load degree is used for indicating the resource use condition of the virtual machine server; calculating the real-time resource occupation rate of each physical host according to the first load rate, the second load rate and the resource mapping relation parameter; determining the average occupancy rate of the resources of each physical host according to the real-time occupancy rate of the resources of each physical host; and determining the total computing resource usage difference of all the physical hosts under the cloud data center environment according to the average resource occupancy rate of each physical host and the real-time resource occupancy rate of each physical host.
If the physical host Py of a certain time slot can not release the virtual machine server resource Vx, the resource mapping relation parameter r between the virtual computing resource and the physical computing resourcexySetting the value to be 0, and if the physical host Py of a certain time slot releases the resources Vx of the virtual machine server, then setting the resource mapping relation parameter rxyIs set to 1. Based on this, a resource mapping relationship set R can be obtained:
wherein i represents the ith virtual machine server, and j represents the jth physical host. It should be noted that, because a virtual computing resource is released by a particular physical host at the same time, all virtual computing resources mapped on the particular physical host should not exceed the total amount of computing resources of the physical host. When the total resource usage difference Δ is calculated, the load degree of the virtual machine server is Lx, and the load degree of the physical host is Ly, so that the real-time resource occupancy rate Uy of each physical host is represented as:
the average occupancy rate Ua of each physical host is represented as:
since the parameter Ly exceeds
Therefore, the calculation method for determining the total difference value of the computing resource usage is as follows:
therefore, when the function MIN (Δ) is solved, the optimal mapping relationship between the physical host and the virtual machine server can be obtained.
Therefore, in this example, the optimal mapping relationship is determined according to the total difference of the computing resource usage, so that the load degrees of the physical hosts in the cloud data center environment are relatively balanced, and the service quality of the whole cloud environment is ensured.
In one possible example, the minimum value of the total difference in computing resource usage is calculated according to a particle swarm algorithm.
Wherein the particle swarm algorithm is initialized to a random population of particles (random solution) and then finds the optimal solution according to an iteration. In each iteration, the particle updates itself by tracking two extreme values. The 1 st is the optimal solution found by the particle itself, this is called the individual extremum, and the 2 nd is the optimal solution found by the whole population at present, this is called the global extremum.
In a specific implementation, the specific method comprises the following steps: (1) defining global variables: particle size and dimension, H, L, alpha, beta, KH、VH、VLEtc.; (2) and (7) assigning values. Assigning an initial optimal orientation P to each particle individualx"and initial vx. From all Px"the optimum value screened again in the intermediate is the global optimum solution A"; (3) and (5) evaluating the fitness. Calculating an adaptive value for each particle and comparing the value with the current P for the particlexThe "values are compared. If the adaptive value is better than the A 'value at the moment, the optimal value needs to be reset to A'; (4) a replacement update is performed. Comparing P of each particlex"value and A" value. If the local optimal solution at the moment is superior to A ', the value of the optimal solution needs to be reset to A'; (5) the particle state value is reset. Resetting the particle rate value to
Reset the azimuth value to
And updates beta 1, beta 2,
A value; (6) and (6) judging. Analyzing whether the current searching frequency of the particles is K or notH. If yes, terminating the search and outputting A'; and if not, continuing to evaluate the particle fitness until iteration is ended and outputting A ".
Assuming that there are l particles in a cloud data center environment where the particle swarm is located, each particle performs a moving search for an optimal value at a corresponding speed in a space with a dimension S. Assuming that the limit value of the moving speed of the group particles in the space is VL SAnd VH SIn which the limit value of the search space is between H and L, the value of the velocity of the i-th particle after k iterations of the loop should be
The orientation data for the particle should be:
generating a global optimal orientation value for the ith particle after k times of loop iterative computation:
based on the optimal orientation value in the self peripheral range:
random coefficients α 1 and α 2 are introduced here, taking into account the randomness of the particle motion. Particle learning guidance coefficients β 1 and β 2 are introduced. And defining space to search inertia weight
。
And at the next moment of the K moment, the particle searches for the optimal data value at the next moment by taking the speed value generated by the particle at the K moment as a trust reference value. When the temperature is higher than the set temperature
Smaller size indicates that the particle shows good space searching capability in a smaller range; when in use
Larger indicates that the particle exhibits good spatial search capability over a wide range. And in each moving process of the particles, reference is made to an empirical value generated at the previous moment as a basis for the current decision. While each particle opens its own empirical value to other particles in the global.
If the particle movement is not within the algorithm constraint, the particle will process the velocity value of the particle according to the following two cases: (1) when the minimum value of velocity VminGreater than VlsWhen it is, the V is adjustedminIs set to Vls(ii) a (2) When maximum value of velocity VmaxLess than VlsWhen it is, the V is adjustedmaxIs set to Vls. The orientation data of the particle is processed differently according to the following two situations: (1) when the minimum value X of the azimuth dataminOrientation data X larger than particle llsWhen it is, the X is addedminIs set to Xls(ii) a (2) When maximum value X of azimuth datamaxLess than XlsWhen it is, the X is addedmaxIs set to Xls。
Guiding coefficient c is introduced for assisting in correcting iteration frequency order value and space search inertiaThe trend of the curve between sexual weights. The value of the parameter at the beginning and end states during the optimization iteration calculation is
And
let the iteration frequency of the particles in the current state be K, and the maximum iteration frequency be KHAnd designing the k-th iteration calculation
Comprises the following steps:
an empirical value of 4 for c may cause the curve to exhibit a trend from high to low. Under the trend
The value shows that the algorithm enters a strategy for executing local search in a short time in the initial search period and enters a strategy for executing local search in the later search period
The gradual reduction of the values over a longer time avoids the algorithm to converge too early in the iterative calculation of the locally optimal solution. The guiding coefficient and the space search inertia weight are nonlinear functions with dynamic adaptive characteristics.
The change rate of the particles beta 1 and beta 2 is increased in the initial stage of particle search, so that the local search strategy is executed as soon as possible by reducing the search speed. The particle search process is still faster at the end of the search because the value of β 2 is still larger, thereby avoiding premature convergence on the locally optimal solution. Let β 1c, β 2c be the initial data of iterative computation, β 1 α, β 2 α be the final data of iterative computation, and β under the idea is described as:
in this example, the particle swarm algorithm has a good adaptive value in the solving process, so that when the optimal mapping relation is solved, the optimal solution is obtained through the particle swarm algorithm, and the calculating speed and the result stability can be improved.
In one possible example, the method further comprises: the method comprises the steps that a first electronic device sends a sudden road condition reporting message to a navigation server through a first navigation application, the first electronic device is the target user equipment, the navigation server is the target virtual machine server, the sudden road condition reporting message comprises a sudden road condition type and a sudden road condition position, the sudden road condition type is used for indicating the occurrence reason of a road sudden event, and the sudden road condition position is used for indicating the occurrence position of the road sudden event; the navigation server receives the sudden road condition reporting message, determines a target physical host corresponding to the navigation server according to the optimal mapping relation, and sends a resource acquisition request to the target physical host corresponding to the navigation server according to the sudden road condition reporting message; the target physical host corresponding to the navigation server receives the resource acquisition request and releases the computing resource corresponding to the sudden road condition reporting information to the navigation server; the navigation server inquires a second electronic device of which the non-driving route in the navigation route comprises the position of the sudden road condition according to the computing resource corresponding to the reported information of the sudden road condition; sending an emergency road condition indication message carrying the emergency road condition type and the emergency road condition position to the second electronic equipment; the second electronic device receives the emergency road condition indication message, and displays a first indication icon corresponding to the emergency road condition type at a reference position of a road condition indication assembly of a navigation interface of the second electronic device, wherein the road condition indication assembly is used for indicating the road condition of all routes or non-driving routes in the navigation route by using a strip-shaped graph, and the reference position is a position corresponding to the emergency road condition position; when touch operation aiming at the first indication icon in the road condition indication assembly is detected, the navigation route displayed by the navigation interface is adjusted from a first display state to a second display state, the first display state refers to a route display mode with a real-time position of a navigation service as a reference display position, the second display state refers to a route display mode with the sudden road condition position as the reference display position, and the reference display position refers to a display position of a middle area of a navigation page.
Wherein the bursty cloud task may be a navigation task. The first electronic device and the second electronic device may each include a first navigation application. The emergency road condition reporting message comprises an emergency road condition type and an emergency road condition position, wherein the emergency road condition type is used for indicating the occurrence reason of the emergency, and the emergency road condition position is used for indicating the occurrence position of the emergency. The first electronic device may be an electronic device such as a mobile phone, or an electronic device such as a road camera. The second electronic device is an electronic device which comprises the sudden road condition position in the navigation route and does not drive to the sudden road condition position. The second electronic device may further include an electronic device that is performing a navigation query and includes the emergency location in the queried recommended navigation route.
In a specific implementation, the navigation server may verify the report message when receiving the sudden road condition report message, and query the second electronic device whose non-driving route in the navigation route includes the position of the sudden road condition if the report message is verified to be true. The navigation server verifies the sudden road condition reporting message, and the verification comprises the following steps: and acquiring the position of the emergent road condition according to the report message, acquiring a real-time image of a road camera corresponding to the position of the emergent road condition, and verifying the report message according to the real-time image. Or when the report messages of a plurality of first electronic devices for the same road position are acquired within a preset time period or at the same time, determining that the report messages are true. Or determining the identity information of the first electronic device, and when the identity information is a message reported by an official account, determining that the reported message is true, wherein the official account may include an account corresponding to a traffic police or an account corresponding to a television station or a media.
The navigation server may also monitor the emergency road condition in real time, change the content in the indication message according to the state change of the emergency road condition, or send the indication message related to the emergency road condition to the second electronic device again after confirming that the event corresponding to the emergency road condition disappears, so that the second electronic device deletes the emergency road condition or changes the current state of the emergency road condition. The road condition indicating assembly is used for indicating the road condition of all routes or non-driving routes in the navigation route by a strip-shaped graph, and the reference position is a position corresponding to the sudden road condition position. Different sudden road condition types can correspond to different indication icons, and the different indication icons can be different characters contained in the icons, can be different in icon shapes, and can also be different in icon colors. And the road condition indicating component can be displayed on the navigation interface after the second electronic device receives the emergency road condition indicating message, and can also be displayed on the navigation interface all the time.
The first display state is a route display mode taking a real-time position of a navigation service as a reference display position, the second display state is a route display mode taking the sudden road condition position as the reference display position, and the reference display position is a display position of a middle area of a navigation page. When the first display state is adjusted to the second display state, the page content corresponding to the second display state may be displayed in an overlapping manner on the content corresponding to the first display state, and at this time, the user may zoom the page content corresponding to the second display state.
In the embodiment of the application, when the sudden cloud task is the navigation task, the navigation server may determine the target physical host according to the determined optimal mapping relationship, acquire the cloud computing resource from the target physical host, quickly query the second electronic device according to the cloud computing resource, and send the sudden road condition indication message to the second electronic device, so that the second electronic device may display the indication icon according to the sudden road condition indication message, and adjust the display state and the like. Therefore, the user requirements can be calculated and responded quickly and accurately, the road condition indicating assembly can be used for synchronously indicating the emergent road conditions, the user can operate the assembly conveniently and quickly to realize quick positioning of the position of the emergent road conditions, and the convenience, accuracy and driving safety of inquiring the position of the emergent road conditions are improved.
In one possible example, the method further comprises: the navigation server determines a local road section which comprises the position of the emergent road condition and has a slow driving or a congestion road condition, and adds the real-time road condition of the local road section into the emergent road condition indication message; and the second electronic equipment updates the color of a reference area of the road condition indicating component according to the real-time road condition of the local road section, wherein the reference area is an area corresponding to the local road section.
The color of the reference area is updated according to the real-time road condition of the local road section, and when the slow running or congestion state in the road section is increased, the color of the road section can be changed into other colors or the color of the reference area is increased. For example, the color of the current reference area is light red, and when the local road section is congested to a certain degree, the color of the reference area is changed to dark red or black. In specific implementation, the color types or color depths corresponding to different slow running or congestion degrees may be determined first, and then the color of the reference area may be changed in real time according to the current slow running or congestion degree.
Therefore, in this example, the second electronic device updates the color of the reference area of the road condition indicating component in real time, so that the user can conveniently and quickly know the current road condition, and the road condition change condition of the local road section can be intuitively acquired.
In one possible example, the method further comprises: when the second electronic device detects a touch operation at any position of the reference area of the road condition indicating assembly, the navigation route displayed on the navigation interface is adjusted to be in a third display state, and the third display state is a route display mode with the local road section as a reference display position.
As can be seen, in this example, when the sudden road condition corresponds to the local road segment, the route state of the entire local road segment may be displayed on the display page according to the user operation. Therefore, the user can conveniently obtain the condition of the emergent road condition integrally.
In one possible example, the method further comprises: and the second electronic equipment updates the color of the local road section in the navigation route according to the real-time road condition of the local road section.
The color of the local road section in the navigation route can be the same as the color of the reference area of the road condition indicating assembly, and when the color of the reference area is changed, the color of the local road section in the navigation route is changed. When the road conditions of the real-time road conditions of the emergent road conditions corresponding to the local road section are different, the colors of different types or different depths displayed by the degrees in the local road section can be determined according to the degrees. For example, if the sudden road condition corresponding to the local section is crowded, the real-time road condition of the first half of the local section is particularly crowded, and the real-time road condition of the second half of the local section is more crowded, the first half of the local section may be displayed in the navigation route as dark red, and the second half of the local section may be displayed in light red.
Therefore, in this example, the color of the local road segment is updated in real time in the navigation route, so that the user can quickly acquire the state of the road segment corresponding to the emergency road condition even when the user is displayed in the first state.
In one possible example, the method further comprises: and the second electronic equipment displays a second indication icon corresponding to the sudden road condition type at the sudden road condition position of the navigation route.
And different emergent road condition types can correspond to the same second indication icon. The second indication icon may be the same as the first indication icon corresponding to the same sudden traffic situation type. For example, the second indication icons of all the sudden road condition types are arrows, or when the sudden road condition type is a, the first indication icon is circular, and when the sudden road condition type is B, the first indication icon is triangular, and when the sudden road condition type is a, the second indication icon is also circular, and when the sudden road condition type is B, the second indication icon is also triangular.
Therefore, in the example, the second indication icon is further displayed at the position of the sudden road condition in the navigation route, so that the user can conveniently know the road condition information.
In one possible example, the method further comprises: and after detecting the touch operation aiming at the second indication icon, the second electronic equipment displays a detail page of the road emergency, wherein the detail page comprises an event description and a live photo uploaded by a user.
The scene photo can be uploaded to the navigation server by the first electronic device, or the scene photo can be acquired by connecting the navigation server with a road camera corresponding to the position after the navigation server acquires the road condition position, and the event description can be generated by extracting the scene photo and/or the road condition information and the like uploaded by the first electronic device by the navigation server.
As can be seen, in this example, the user may obtain the details of the sudden road condition by operating the second indication icon.
In one possible example, the method further comprises: and after the operation of the user is not detected within a preset time period, the navigation route displayed by the navigation interface is restored to the first display state according to the real-time position of the navigation service.
After the navigation route displayed on the navigation interface is restored to the first display state, the color of the position of the sudden road condition can be updated according to the real-time road condition of the sudden road condition in the navigation route corresponding to the first display state.
Therefore, in this example, if the operation of the user is not detected, the currently displayed interface is automatically switched to the content corresponding to the first display state, so that the operation steps of the user can be reduced, the use requirement of the user can be met, and the use experience of the user is improved.
In one possible example, the road conditions include congestion, slow running and smooth traffic, the congestion corresponds to red, the slow running corresponds to yellow, and the smooth traffic corresponds to green; the type of the sudden road condition comprises any one of the following types: road repairing, road occupation, greening and traffic accidents; and the road condition indicating component is always displayed on the navigation interface.
Therefore, in the embodiment, different road conditions correspond to different colors, and the road condition indicating component is always displayed on the navigation interface, so that a user can conveniently and quickly know and check the front road condition in the navigation route in real time.
In one possible example, a first display scale of the navigation page in the first display state is the same as a second display scale of the navigation page in the second display state; and determining a third display scale of the navigation page in the third display state according to the length of the local road section.
Therefore, the corresponding display proportion is determined according to different display states, a user can conveniently and visually acquire the road condition, and the driving safety is prevented from being influenced by the user for clearly seeing the condition of the sudden road condition.
The embodiment of the application further provides a system for processing the burst cloud task based on the mobile internet, which comprises a cloud data center server, user equipment, a physical host and a virtual machine server, wherein the cloud data center server is used for executing the steps executed by the cloud data center server in any one of the embodiments; the user equipment, configured to perform the steps performed by the user equipment in any of the above embodiments; the physical host, configured to perform the steps performed by the physical host in any of the embodiments described above; the virtual machine server is configured to perform the steps performed by the virtual machine server in any of the above embodiments.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, 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 application.
Claims (10)
1. A method for processing a burst cloud task based on a mobile Internet is characterized by comprising the following steps:
the method comprises the steps that a cloud data center server obtains computing tasks from a plurality of user devices;
the cloud data center server determines a total computing resource usage difference value of all physical hosts under a cloud data center environment according to the computing task, wherein the total computing resource usage difference value is used for measuring load balance of all the physical hosts, and when the total computing resource usage difference value is the minimum value, the mapping relation between all the physical hosts and the virtual machine server under the cloud data center environment is determined to be the optimal mapping relation;
a target virtual machine server acquires a target computing task from target user equipment, determines a target physical host according to the optimal mapping relation, and sends a resource acquisition request to the target physical host according to the target computing task, wherein the target virtual machine server is a virtual machine server under the cloud data center environment, the target physical host is a physical host under the cloud data center environment, and the target user equipment is user equipment in the plurality of user equipment;
the target physical host receives the resource acquisition request and releases the computing resources corresponding to the target computing task to the target virtual machine server;
and the target virtual machine server generates response information according to the computing resources and sends the response information to the target user equipment.
2. The method of claim 1, wherein determining a total difference in computing resource usage for all physical hosts in the cloud datacenter environment based on the computing task comprises:
determining a resource mapping relation parameter of each physical host relative to each virtual machine server in a preset time slot according to the calculation task, wherein the resource mapping relation parameter is used for indicating whether the physical host releases resources to the virtual machine server in the preset time slot;
acquiring a first load degree of each physical host and a second load degree of each virtual machine server, wherein the first load degree is used for indicating the resource use condition of the physical host, and the second load degree is used for indicating the resource use condition of the virtual machine server;
calculating the real-time resource occupation rate of each physical host according to the first load rate, the second load rate and the resource mapping relation parameter;
determining the average occupancy rate of the resources of each physical host according to the real-time occupancy rate of the resources of each physical host;
and determining the total computing resource usage difference of all the physical hosts under the cloud data center environment according to the average resource occupancy rate of each physical host and the real-time resource occupancy rate of each physical host.
3. The method of claim 2, wherein the minimum of the total difference in computing resource usage is calculated according to a particle swarm algorithm.
4. The method according to any one of claims 1-3, further comprising:
the method comprises the steps that a first electronic device sends a sudden road condition reporting message to a navigation server through a first navigation application, the first electronic device is the target user equipment, the navigation server is the target virtual machine server, the sudden road condition reporting message comprises a sudden road condition type and a sudden road condition position, the sudden road condition type is used for indicating the occurrence reason of a road sudden event, and the sudden road condition position is used for indicating the occurrence position of the road sudden event;
the navigation server receives the sudden road condition reporting message, determines a target physical host corresponding to the navigation server according to the optimal mapping relation, and sends a resource acquisition request to the target physical host corresponding to the navigation server according to the sudden road condition reporting message;
the target physical host corresponding to the navigation server receives the resource acquisition request and releases the computing resource corresponding to the sudden road condition reporting information to the navigation server;
the navigation server inquires a second electronic device of which the non-driving route in the navigation route comprises the position of the sudden road condition according to the computing resource corresponding to the reported information of the sudden road condition; sending an emergency road condition indication message carrying the emergency road condition type and the emergency road condition position to the second electronic equipment;
the second electronic device receives the emergency road condition indication message, and displays a first indication icon corresponding to the emergency road condition type at a reference position of a road condition indication assembly of a navigation interface of the second electronic device, wherein the road condition indication assembly is used for indicating the road condition of all routes or non-driving routes in the navigation route by using a strip-shaped graph, and the reference position is a position corresponding to the emergency road condition position; when touch operation aiming at the first indication icon in the road condition indication assembly is detected, the navigation route displayed by the navigation interface is adjusted from a first display state to a second display state, the first display state refers to a route display mode with a real-time position of a navigation service as a reference display position, the second display state refers to a route display mode with the sudden road condition position as the reference display position, and the reference display position refers to a display position of a middle area of a navigation page.
5. The method of claim 4, further comprising:
the navigation server determines a local road section which comprises the position of the emergent road condition and has a slow driving or a congestion road condition, and adds the real-time road condition of the local road section into the emergent road condition indication message;
and the second electronic equipment updates the color of a reference area of the road condition indicating component according to the real-time road condition of the local road section, wherein the reference area is an area corresponding to the local road section.
6. The method of claim 5, further comprising:
when the second electronic device detects a touch operation at any position of the reference area of the road condition indicating assembly, the navigation route displayed on the navigation interface is adjusted to be in a third display state, and the third display state is a route display mode with the local road section as a reference display position.
7. The method of claim 5 or 6, further comprising:
and the second electronic equipment updates the color of the local road section in the navigation route according to the real-time road condition of the local road section.
8. The method of claim 4, further comprising:
and after the operation of the user is not detected within a preset time period, the navigation route displayed by the navigation interface is restored to the first display state according to the real-time position of the navigation service.
9. The method of claim 6, wherein a first display scale of the navigation page in the first display state is the same as a second display scale of the navigation page in the second display state;
and determining a third display scale of the navigation page in the third display state according to the length of the local road section.
10. A system for processing a burst cloud task based on a mobile internet is characterized by comprising a cloud data center server, user equipment, a physical host and a virtual machine server, wherein,
the cloud data center server for performing the steps performed by the cloud data center server in any of the methods of claims 1-9;
the user equipment for performing the steps performed by the user equipment in the method of any one of claims 1-9;
the physical host for performing the steps performed by the physical host in the method of any of claims 1-9;
the virtual machine server for performing the steps performed by the virtual machine server in the method of any of claims 1-9.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778020A (en) * | 2014-02-08 | 2014-05-07 | 中国联合网络通信集团有限公司 | Virtual machine placing method and device |
| WO2016090946A1 (en) * | 2014-12-12 | 2016-06-16 | 华为技术有限公司 | Method and device for mapping virtual data centre resources |
| WO2017190276A1 (en) * | 2016-05-03 | 2017-11-09 | 华为技术有限公司 | Resource scheduling method, and terminal apparatus |
| CN107967179A (en) * | 2017-12-12 | 2018-04-27 | 山东省计算中心（国家超级计算济南中心） | A kind of cloud computing resources distribution method for supporting emergency |
| CN110879749A (en) * | 2018-09-06 | 2020-03-13 | 阿里巴巴集团控股有限公司 | Scheduling method and scheduling device for real-time transcoding task |
| US20210255902A1 (en) * | 2020-02-19 | 2021-08-19 | Nant Holdings Ip, Llc | Cloud Computing Burst Instance Management |
-
2022
- 2022-04-19 CN CN202210410055.4A patent/CN114490096B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103778020A (en) * | 2014-02-08 | 2014-05-07 | 中国联合网络通信集团有限公司 | Virtual machine placing method and device |
| WO2016090946A1 (en) * | 2014-12-12 | 2016-06-16 | 华为技术有限公司 | Method and device for mapping virtual data centre resources |
| WO2017190276A1 (en) * | 2016-05-03 | 2017-11-09 | 华为技术有限公司 | Resource scheduling method, and terminal apparatus |
| CN108702736A (en) * | 2016-05-03 | 2018-10-23 | 华为技术有限公司 | A kind of resource regulating method and terminal device |
| CN107967179A (en) * | 2017-12-12 | 2018-04-27 | 山东省计算中心（国家超级计算济南中心） | A kind of cloud computing resources distribution method for supporting emergency |
| CN110879749A (en) * | 2018-09-06 | 2020-03-13 | 阿里巴巴集团控股有限公司 | Scheduling method and scheduling device for real-time transcoding task |
| US20210255902A1 (en) * | 2020-02-19 | 2021-08-19 | Nant Holdings Ip, Llc | Cloud Computing Burst Instance Management |
Non-Patent Citations (1)
| Title |
|---|
| 康妍: "一种基于云计算的资源调度方案的研究与实现", 《中国优秀博硕士学位论文全文数据库（硕士）信息科技辑》 * |
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