CN116170509A - Calculation power scheduling method, calculation power scheduling device and storage medium - Google Patents
Calculation power scheduling method, calculation power scheduling device and storage medium Download PDFInfo
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Abstract
The application provides a method, a device and a storage medium for scheduling computational power, relates to the technical field of communication, and can solve the problem of unreasonable allocation of computational power resources in the related technology. The method comprises the following steps: predicting the predicted traffic of the target moment according to the traffic of the target equipment in the historical time; determining a set of computing force nodes if the predicted traffic is greater than a target threshold; the computing power node set comprises a plurality of computing power nodes connected with the target equipment; at least one computing node is selected from the set of computing nodes to provide computing resources for the target device. The method and the device can reasonably allocate the calculation force resources.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and an apparatus for power scheduling, and a storage medium.
Background
With the rapid development of communication networks, the speed of information communication and data circulation is further increased, and service providers need to process service data with corresponding large-scale calculation force when facing sudden traffic impact.
If the service provider rents the high-capacity computing resources for a long time, the service provider needs to bear high rent and has low computing resource utilization rate at ordinary times, so that the resource is wasted. If large-capacity computing resources are not leased, the service experience of the user is affected due to insufficient computing resources when facing the sudden service growth. Therefore, the related art has the problem of unreasonable allocation of computational resources.
Disclosure of Invention
The application provides a method, a device and a storage medium for scheduling computational power, which can solve the problem of unreasonable allocation of computational power resources in the related technology.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, the present application provides a method for computing power scheduling, the method comprising: predicting the predicted traffic of the target moment according to the traffic of the target equipment in the historical time; determining a set of computing force nodes if the predicted traffic is greater than a target threshold; the computing power node set comprises a plurality of computing power nodes connected with the target equipment; at least one computing node is selected from the set of computing nodes to provide computing resources for the target device.
Based on the above technical solution, the computing power scheduling device provided in the embodiments of the present application may predict the predicted traffic of the target device at the target time according to the traffic of the target device in the history duration, and determine the computing power node set when the predicted traffic is greater than the target threshold. Because the computing power node set comprises a plurality of computing power nodes connected with the target equipment, the computing power scheduling device can select at least one computing power node from the computing power node set to provide computing power resources for the target equipment. Therefore, the power calculation scheduling device in the application can allocate power calculation nodes for the target equipment in time according to the traffic variation trend of the target equipment, and the power calculation resource requirement of the target equipment for processing the increased traffic is met, so that the effect of reasonably allocating power calculation resources is achieved.
With reference to the first aspect, in one possible implementation manner, the method includes: acquiring a computing power node configuration table; the power computing node configuration table comprises node identifiers of a plurality of power computing nodes corresponding to the target equipment; and determining a plurality of computing force nodes corresponding to the target equipment in the computing force node set based on the computing force node configuration table.
With reference to the first aspect, in one possible implementation manner, the method includes: acquiring position information of target equipment; determining that the computing power node set comprises a plurality of first computing power nodes according to the position information of the target equipment; the first computing node is a computing node with a distance from the target device smaller than a preset distance.
With reference to the first aspect, in one possible implementation manner, the method includes: acquiring the calculation force requirement of target equipment; the computational power demand includes at least one of computational power capacity demand, transmission delay demand, and bandwidth demand; determining at least one second computing force node from the set of computing force nodes that meets the computing force demand; providing computing power resources to the target device through the at least one second computing power node.
With reference to the first aspect, in one possible implementation manner, the method includes: creating a communication circuit between the target device and each second computing node respectively; traffic is allocated to at least one second computing node based on the communication circuit.
In a second aspect, the present application provides a computing power scheduling apparatus, the apparatus comprising a processing unit; a processing unit, configured to predict an expected traffic volume at a target time according to a traffic volume of the target device in the historical time; the processing unit is further used for determining a computing force node set under the condition that the expected traffic is larger than a target threshold value; the computing power node set comprises a plurality of computing power nodes connected with the target equipment; the processing unit is further configured to select at least one computing node from the set of computing nodes to provide computing resources for the target device.
With reference to the second aspect, in one possible implementation manner, the computing power scheduling device further includes an acquiring unit; the acquisition unit is used for acquiring the power calculation node configuration table; the power computing node configuration table comprises node identifiers of a plurality of power computing nodes corresponding to the target equipment; and the processing unit is used for determining a plurality of computing force nodes corresponding to the target equipment in the computing force node set based on the computing force node configuration table.
With reference to the second aspect, in one possible implementation manner, the computing power scheduling device further includes an acquiring unit; an acquisition unit configured to acquire position information of a target device; the processing unit is used for determining that the computing power node set comprises a plurality of first computing power nodes according to the position information of the target equipment; the first computing node is a computing node with a distance from the target device smaller than a preset distance.
With reference to the second aspect, in one possible implementation manner, the computing power scheduling device further includes an acquiring unit; an acquisition unit configured to acquire an arithmetic force demand of a target device; the computational power demand includes at least one of computational power capacity demand, transmission delay demand, and bandwidth demand; a processing unit for determining at least one second computing force node from the set of computing force nodes that meets the computing force demand; the processing unit is further configured to provide the computing power resource to the target device through the at least one second computing power node.
With reference to the second aspect, in one possible implementation manner, the processing unit is configured to: creating a communication circuit between the target device and each second computing node respectively; traffic is allocated to at least one second computing node based on the communication circuit.
In a third aspect, the present application provides a computing power scheduling apparatus, the apparatus comprising: a processor and a communication interface; the communication interface is coupled to a processor for running a computer program or instructions to implement the computing power scheduling method as described in any one of the possible implementations of the first aspect and the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein which, when run on a terminal, cause the terminal to perform a method of computational power scheduling as described in any one of the possible implementations of the first aspect and the first aspect.
In a fifth aspect, the present application provides a computer program product comprising instructions which, when run on a computing power scheduling apparatus, cause the computing power scheduling apparatus to perform the computing power scheduling method as described in any one of the possible implementations of the first aspect and the first aspect.
In a sixth aspect, the present application provides a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a computer program or instructions to implement the method of computational power scheduling as described in any one of the possible implementations of the first aspect and the first aspect.
In particular, the chip provided in the present application further includes a memory for storing a computer program or instructions.
It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with the processor of the apparatus or may be packaged separately from the processor of the apparatus, which is not limited in this application.
For descriptions of the second aspect through the sixth aspect in the present application, reference may be made to the detailed description of the first aspect; also, the advantageous effects described in the second aspect to the sixth aspect may refer to the advantageous effect analysis of the first aspect, and are not described herein.
In the present application, the names of the above-mentioned computing power dispatching apparatuses do not constitute limitations on the devices or functional modules themselves, and in actual implementations, these devices or functional modules may appear under other names. Insofar as the function of each device or function module is similar to the present application, it is within the scope of the claims of the present application and the equivalents thereof.
These and other aspects of the present application will be more readily apparent from the following description.
Drawings
Fig. 1 is a schematic architecture diagram of a computing power dispatching system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another architecture of a computing power dispatching system according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of a method for computing power scheduling according to an embodiment of the present disclosure;
FIG. 4 is a flowchart of another method for computing power scheduling according to an embodiment of the present disclosure;
FIG. 5 is a flowchart of another method for computing power scheduling according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a computing power dispatching device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of another power-calculating scheduling device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.
The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or for distinguishing between different processes of the same object and not for describing a particular sequential order of objects.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.
With the rapid development of communication networks, the speed of information communication and data circulation is further increased, and service providers need to process service data with corresponding large-scale calculation force when facing sudden traffic impact. Exemplary scenarios of sudden increases in computing force demand include, but are not limited to, the following:
for some burst hot news events, the main stream news/social portal visitors and click rates are rapidly increased in a short time, burst traffic impact is easy to form, and correspondingly, the computational power processing demands of related internet content providers are also increased.
For an online shopping scene, commodity inquiry and commodity transaction can be multiplied than usual in a shopping season, and larger-scale computing resources are also required to be temporarily increased for supporting.
For hot events and large-scale live broadcast scenes, computing power needs to be temporarily deployed at computing power nodes near the events and the activity sites so as to facilitate live broadcast services.
For online business such as cloud games and online education, there is a peak power demand in a specific period, for example, a business access peak period occurs on weekends or holidays, so that the power demand is increased, and timely capacity expansion is required.
For video websites, hot programs such as festival celebration programs and the like can generate load surge, and calculation force resources need to be expanded in time.
Currently, if a service provider rents a large-capacity computing resource for a long time, the service provider needs to bear high rent and has low computing resource utilization rate at ordinary times, so that resource waste is caused. If large-capacity computing resources are not leased, the service experience of the user is affected due to insufficient computing resources when facing the sudden service growth. Therefore, the related art has the problem of unreasonable allocation of computational resources.
In view of this, the embodiments of the present application provide a method, an apparatus, and a storage medium for power calculation scheduling, where the power calculation scheduling apparatus may predict an expected traffic volume at a target time according to a traffic volume of a target device in a history period, and determine a power calculation node set when the expected traffic volume is greater than a target threshold. Because the computing power node set comprises a plurality of computing power nodes connected with the target equipment, the computing power scheduling device can select at least one computing power node from the computing power node set to provide computing power resources for the target equipment. Therefore, the power calculation scheduling device in the application can allocate power calculation nodes for the target equipment in time according to the traffic variation trend of the target equipment, and the power calculation resource requirement of the target equipment for processing the increased traffic is met, so that the effect of reasonably allocating power calculation resources is achieved.
The following describes embodiments of the present application in detail with reference to the drawings.
Fig. 1 is a block diagram of a computing power dispatching system 10 according to an embodiment of the present application. As shown in fig. 1, the power dispatch system 10 includes: terminal equipment 101, target equipment 102, power calculation scheduling device 103 and power calculation node 104.
The number of the terminal device 101, the target device 102, the power computing device 103, and the power computing node 104 in the present application may be one or more, and the number of the terminal device 101, the target device 102, the power computing device 103, and the power computing node 104 is not limited in the present application.
As shown in fig. 1, a terminal device 101 is connected to a target device 102 via a communication link, and the target device is connected to a computing power scheduling apparatus 103 and a computing power node 104 via a communication link. The power calculation scheduling device 103 and the power calculation node 104 are connected through a communication link, and the communication link may be a wired communication link or a wireless communication link, which is not limited in this application.
The terminal device 101 is a device with a wireless communication function, and may be deployed on land, including indoor or outdoor, handheld or vehicle-mounted. Can also be deployed on the water surface (such as a ship, etc.). But may also be deployed in the air (e.g., on aircraft, balloon, satellite, etc.). The terminal device 101, also called User Equipment (UE), mobile Station (MS), mobile terminal device (MT), terminal device, etc., is a device that provides voice and/or data connectivity to a user. For example, the terminal device 101 includes a handheld device, an in-vehicle device, and the like having a wireless connection function. Currently, the terminal device 101 may be: a mobile phone, a tablet, a laptop, a palmtop, a mobile internet device (mobile internet device, MID), a wearable device (e.g., a smartwatch, a smartband, a pedometer, etc.), a vehicle-mounted device (e.g., an automobile, a bicycle, an electric car, an airplane, a ship, a train, a high-speed rail, etc.), a Virtual Reality (VR) device, an augmented reality (augmented reality, AR) device, a wireless terminal device in industrial control (industrial control), a smart home device (e.g., a refrigerator, a television, an air conditioner, an ammeter, etc.), a smart robot, a workshop device, a wireless terminal device in a drone (self driving), a wireless terminal device in a teleoperation (remote medical surgery), a wireless terminal device in a smart grid (smart grid), a wireless terminal device in transportation security (transportation safety), a wireless terminal device in a smart city (smart city), or a wireless terminal device in a home (smart home), a flying device (e.g., a smart robot, a balloon, an airplane, etc.). In one possible application scenario, the terminal device is a terminal device that is often operated on the ground, for example a vehicle-mounted device. In this application, for convenience of description, a Chip disposed in the above device, such as a System-On-a-Chip (SOC), a baseband Chip, or the like, or other chips having a communication function may also be referred to as a terminal device.
The terminal device 101 may be a vehicle with a corresponding communication function, or an on-board communication device, or other embedded communication devices, or may be a user handheld communication device, including a mobile phone, a tablet computer, and the like.
As an example, in the embodiment of the present application, the terminal device 101 may also be a wearable device. The wearable device can also be called as a wearable intelligent device, and is a generic name for intelligently designing daily wear by applying wearable technology and developing wearable devices, such as glasses, gloves, watches, clothes, shoes and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart jewelry, etc. for physical sign monitoring.
The power calculation scheduling method provided in the embodiment of the present application may be applied to the power calculation scheduling device 103, where the power calculation scheduling device 103 may be an independent electronic device, for example, a server. The power dispatching device 103 may be an application program (application) installed in the electronic device and providing a power dispatching function, or the power dispatching device 103 may be a central processor in the electronic device, or the power dispatching device 103 may be a control module in the electronic device for executing a power dispatching method.
Illustratively, when the computing power scheduler 103 is a server, the server includes:
the processor may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the programs of the present application.
The transceiver may be a device using any transceiver or the like for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
Memory, which may be, but is not limited to, read-only memory (ROM) or other type of static storage device that may store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that may store information and instructions, but may also be electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), compact disc read-only memory (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be stand alone and be coupled to the processor via a communication line. The memory may also be integrated with the processor.
The target device 102 is configured to obtain a service access request of the terminal device 101, and instruct the computing node 104 to provide computing resources.
The service access request may be an access request in a communication network such as a fixed network bandwidth, a mobile network, and the like. The computing power nodes 104 may be divided into the service provider's own computing power nodes and the operator's capacity expansion computing power nodes.
In the absence of an emergency, the target device 102 may perform daily business processes through the free computing power node of the service provider.
The computing power scheduling device 103 is configured to obtain the traffic of the target device 102 in real time, and predict the predicted traffic of the target device 102 at the target time according to the traffic of the target device in the historical time.
The historical time length may be any time period before the current time, and the target time may be any time point after the current time. Specifically, the method can be set according to actual conditions, and the application is not limited to the method.
The computing force scheduler 103 is further configured to determine a set of computing force nodes in case the predicted traffic is greater than a target threshold.
Wherein the set of computing nodes includes a plurality of computing nodes 104 coupled to the target device 102. The target threshold may be set according to practical situations, which is not limited in this application.
It should be noted that, the computing nodes 104 in the computing node set are capacity expansion computing nodes of the operator, and these computing nodes 104 may be respectively connected to the target devices 102 of different service providers, so as to provide capacity expansion computing power for the service provider with computing power demand in time.
The computing power scheduling means 103 is further arranged to select at least one computing power node from the set of computing power nodes to provide computing power resources to the target device.
As a possible embodiment, as shown in fig. 2, the computing power scheduling system 10 further includes a service access device 105 and a computing power access device 106. The power scheduler 103 includes a customer service manager 1031, an operator power scheduler 1032, a software defined network (software defined network, SDN) network controller 1033, and a power management platform 1034.
At this time, the customer service management apparatus 1031, the operator power dispatching apparatus 1032, the SDN network controller 1033, and the power management platform 1034 may be independent electronic devices or may be functional modules in the power dispatching apparatus 103. When the customer service management apparatus 1031, the operator power scheduler 1032, the SDN network controller 1033, and the power management platform 1034 may be separate electronic devices, the power scheduler 103 may be implemented as a subsystem architecture in the power scheduling system 10.
The target device 102 may be pre-connected to the service access devices 105 disposed around the target device 102 by the operator through a local circuit, or pre-connected to the service access devices 105 disposed in the same machine room by the operator through a jumper in the machine room.
The local pre-connection circuit may configure a larger bandwidth according to the actual situation in order to establish an initial route or data configuration of the virtual local area network (virtual local area network, VLAN) between the service provider and the operator's target device 102 and the service access device 105.
The service access device 105 is a device supporting network capabilities such as software defined optical transport network (software defined optical transport network, SD-OTN) or segment routing (segment routing IPv, SRv 6), and is thus able to access an operator's SD-OTN or SRv6 equivalent network. At this point, the target device 102 may access the operator's computing network through the serving access network device 105 and establish a connection with the computing node 104 through the computing access device 106. In this way, the service provider can quickly access the operator's computing network without performing field engineering construction in advance.
The client business management apparatus 1031 is configured to perform real-time statistics and trend analysis prediction according to the traffic volume of the target device 102, and detect whether the current computing power resource meets the computing power requirement of the target device 102.
The customer service management apparatus 1031 is further configured to calculate the power demand of the target device 102 according to the service model and the expected service amount, and send a power scheduling request to the operator power scheduling apparatus 1032 through the control link. Accordingly, the operator power scheduler 1032 is configured to receive a power scheduling request from the customer service manager 1031.
The operator power scheduling means 1032 is further for determining a set of power nodes in response to the power scheduling request.
The operator computing power scheduling means 1032 is further arranged to select at least one computing power node 104 from the set of computing power nodes to provide computing power resources to the target device 102.
For example, according to the power demand determined by the client service management apparatus 1031, the operator power dispatching apparatus 1032 uses the service access device 105 accessed by the target device 102 as a source point, uses the power access device 106 corresponding to each power node 104 in the power node set as a destination point, performs a path calculation through the SDN network controller 1033, and determines the power nodes 104 and the corresponding path results that meet the power demand.
Thereafter, the operator power scheduler 1032 provides power resources to the target device according to the power node 104 that satisfies the power demand based on the scheduling policy allocation.
The scheduling policy may be, for example, a policy of preferentially scheduling the power node 104 with low utilization rate of circuit resources, preferentially scheduling the power node 104 with more idle resources, or preferentially scheduling the power node 104 with low cost.
In a possible implementation, the operator computing power scheduling apparatus 1032 is configured to store a correspondence between the target device 102 and the service access device 105 to which the target device accesses, so as to facilitate the computing path query.
Illustratively, the correspondence between the target device 102 and the service access device 105 it accesses is shown in table 1 below:
TABLE 1
Wherein the target device 1 of the service provider 1 corresponds to the service access device 1 and the target device 2 of the service provider 2 corresponds to the service access device 2. It should be noted that each service provider may include one or more target devices 102, which is not limited in this application.
It should be noted that, the embodiments of the present application may refer to or refer to each other, for example, the same or similar steps, and the method embodiment, the system embodiment and the device embodiment may refer to each other, which is not limited.
Fig. 3 is a flowchart of a power calculation scheduling method provided in an embodiment of the present application. As shown in fig. 3, the method comprises the steps of:
The historical time length may be any time period before the current time, and the target time may be any time point after the current time. Specifically, the method can be set according to actual conditions, and the application is not limited to the method.
For example, the terminal device may send an access request to the target device. Correspondingly, the target device receives the access request from the terminal device and generates the corresponding service. The power scheduler may detect traffic of the target device in real time based on traffic generated by the target device.
The computing power node set comprises a plurality of computing power nodes connected with the target equipment. The target threshold may be set according to practical situations, which is not limited in this application.
In one possible implementation manner, the computing power scheduling device may acquire a computing power node configuration table, and determine, based on the computing power node configuration table, that a computing power node set includes a plurality of computing power nodes corresponding to the target device.
The power computing node configuration table comprises node identifiers of a plurality of power computing nodes corresponding to the target equipment. The computing node configuration table may be preconfigured and updated as needed based on the geographic location of the target device, computing node.
Illustratively, the force node configuration table is shown in Table 2 below:
TABLE 2
The target devices 1 of the service provider 1 correspond to the computing force node 1, the computing force node 2 and the computing force node 3, and correspond to the computing force access device 1, the computing force access device 2 and the computing force access device 3, respectively. The target devices 2 of the service provider 2 correspond to the computing nodes 2, 3 and 4, respectively, and to the computing access devices 2, 3 and 4, respectively. The service provider in the embodiments of the present application may include one or more target devices, which is not limited in this application.
In yet another possible implementation manner, the computing power scheduling apparatus may acquire location information of the target device, and determine that the computing power node set includes a plurality of first computing power nodes according to the location information of the target device.
The first computing node is a computing node with a distance from the target device smaller than a preset distance.
Illustratively, the computing power scheduling apparatus may determine the distance between the target device and the computing power node based on geographic information system (geographic information system, GIS) information of the target device and the computing power node. Then, the computing power scheduling device can determine a target range by taking the position of the target device as a circle center and taking a preset distance as a radius, and takes a first computing power node in the target range as a computing power node set.
The preset distance may be set according to practical situations, for example, 500 km, which is not limited in this application.
Step 303, the computing power scheduling device selects at least one computing power node from the computing power node set to provide computing power resources for the target device.
For example, the computing power scheduling apparatus may determine computing power nodes that satisfy computing power requirements from a set of computing power nodes and provide computing power resources to the target device based on a scheduling policy.
For example, the scheduling policy may be a policy of preferentially scheduling an effort node with low utilization rate of circuit resources, preferentially scheduling an effort node with more idle resources, or preferentially scheduling an effort node with low cost.
Based on the above technical solution, the computing power scheduling device provided in the embodiments of the present application may predict the predicted traffic of the target device at the target time according to the traffic of the target device in the history duration, and determine the computing power node set when the predicted traffic is greater than the target threshold. Because the computing power node set comprises a plurality of computing power nodes connected with the target equipment, the computing power scheduling device can select at least one computing power node from the computing power node set to provide computing power resources for the target equipment. Therefore, the power calculation scheduling device in the application can allocate power calculation nodes for the target equipment in time according to the traffic variation trend of the target equipment, and the power calculation resource requirement of the target equipment for processing the increased traffic is met, so that the effect of reasonably allocating power calculation resources is achieved.
The following describes a procedure in which the computing power scheduling apparatus allocates a computing power node providing computing power resources to a target device.
As a possible embodiment of the present application, in conjunction with fig. 3, as shown in fig. 4, the above step 303 may also be implemented by the following steps 401-403.
Wherein the power demand includes at least one of a power capacity demand, a transmission delay demand, and a bandwidth demand.
In one possible implementation, the power calculation scheduling apparatus may store the power calculation requirements of the respective service providers in advance, and determine the power calculation requirements of the target device based on the service provider to which the target device belongs.
In yet another possible implementation, the computing power scheduling means may determine the computing power demand of the target device based on the predicted traffic at the target time.
For example, the expected traffic may be represented by the amount of computational resources to be expanded, the data traffic.
In a possible implementation manner, the power computing scheduling device may take service access equipment accessed by the target device as a source point, take power computing access equipment corresponding to each power computing node in the power computing node set as a destination point, perform a path computing through the SDN network controller, and determine power computing nodes meeting power computing requirements and corresponding path results.
The transmission delay requirement of the service provider a is 5ms and the bandwidth requirement is 200Mbps, for example. The power computing scheduling device can determine power computing nodes with transmission delay less than or equal to 5ms from the power computing node set, further screen out power computing nodes with available bandwidth greater than or equal to 200Mbps, and then the power computing scheduling device can also determine paths of the power computing nodes meeting power computing requirements.
For example, the configuration list of the second computing node is shown in table 3 below:
TABLE 3 Table 3
The power node 1 satisfies the power demand of the target device when providing the power resource for the target device of the service provider a through the path 1 and the path 2, and does not satisfy the power demand of the target device when providing the power resource for the target device of the service provider a through the path 3.
The computing power node 2 satisfies the computing power demand of the target device when providing computing power resources to the target device of the service provider a through the path 4, and does not satisfy the computing power demand of the target device when providing computing power resources to the target device of the service provider a through the path 5.
The computing power node 3 satisfies the computing power demand of the target device when providing computing power resources to the target device of the service provider a via path 6, and does not satisfy the computing power demand of the target device when providing computing power resources to the target device of the service provider a via path 7.
Neither of the computing nodes 4 provides computing resources to the target device of the service provider a via path 8 or path 9 to meet the computing demands of the target device.
In this way, the computing power scheduling device may determine that the second computing power node that meets the computing power demand includes the computing power node 1, the computing power node 2, and the computing power node 3. The computing power scheduling device can store the computing power node meeting the computing power requirement and the serial number identifier corresponding to the path so as to facilitate the subsequent determination of the computing power node needing to provide the computing power resource based on the serial number identifier and the path when the computing power node provides the computing power resource.
The target device and the computing node are connected through a transmission line. Meanwhile, the computing power scheduling device can determine the network route between the target device and the computing power node or the data configuration of the VLAN, so that the automatic configuration of the end-to-end network route between the subsequent target device and the computing power node is ensured.
When the power computing scheduling device provides power computing resources for the target equipment through at least one second power computing node, the power computing scheduling device can deploy the power computing nodes according to a preset scheduling strategy.
Exemplary deployment procedures include computing resource configuration, creation of circuits, end-to-end network route establishment, installation and running of application image files, and traffic splitting. The computing power scheduling means may also perform a release of computing power resources and associated charging operations when the target device no longer requires the capacity expansion computing power.
For example, the power scheduler may generate an original ticket for power network resource usage by the operator power scheduler. The original ticket includes information such as the amount of computational resources used, network resource bandwidth, duration of use, service level agreements (service level agreement, SLA) levels, etc. The power calculation scheduling device sends the generated original ticket to a business support system (business support system, BSS) system of an operator, so that bill generation is realized.
In a possible implementation manner, the computing power scheduling apparatus may also dynamically adjust computing power resources of the target device. For example, the power calculation scheduling device can analyze the statistical information of the target device in real time, evaluate the statistical information according to the current traffic, and perform elastic expansion and contraction of the power calculation capacity and adjustment of the circuit bandwidth so as to adapt to the dynamic change of the service. For example, in the case of insufficient current computing power resources, the computing power scheduling device may expand the computing power resources. In the case of insufficient circuit bandwidth, the power scheduler may adjust the existing circuit bandwidth.
Based on the above technical solution, the power calculation scheduling apparatus provided in the embodiments of the present application may obtain a power calculation requirement of a target device, and determine at least one second power calculation node that meets the power calculation requirement from a power calculation node set. In this way, the computing power scheduling apparatus may provide computing power resources for the target device through the at least one second computing power node. Therefore, the power calculation scheduling device can realize the effective coordination of the self power calculation and the external power calculation of the service provider, thereby meeting the sudden service demand, effectively reducing the power calculation cost of the service provider and improving the power calculation scheduling efficiency while avoiding the failure of effective processing of related services caused by sudden service volume.
The process of the computing power scheduling device providing computing power resources to the target device through the at least one second computing power node is described below.
As a possible embodiment of the present application, in conjunction with fig. 4, as shown in fig. 5, the above step 403 may also be implemented by the following steps 501-502.
The power dispatching device may create a temporary short lease communication circuit between the service access device accessed by the target device and the power access device corresponding to the designated second power node through the SDN network controller, and activate the short lease communication circuit. The short lease communication circuit may be, for example, an OTN circuit or an IP circuit (two-layer ethernet virtual private network (Ethernet virtual private network, EVPN) circuit, three-layer EVPN circuit, or the like). When the short lease communication circuit is an OTN circuit, the OTN network where the OTN circuit is located can be used as a bottom layer base network and a service bearing network at the same time.
In a possible implementation manner, before step 501, the computing power scheduling device may further perform computing power resource allocation according to the computing power requirement and the service requirement.
The computing power scheduler, for example, directs each second computing power node to create a virtual machine or container resource. Wherein the configuration information includes a corresponding IP address and port (port). In this way, the second computing node can perform initialization configuration on the system operating environment so as to facilitate subsequent loading of the corresponding application program.
In yet another possible implementation, after step 501, the computing power scheduling apparatus may establish an end-to-end route of the second computing power node with the target device.
The power computing scheduling device may, for example, complete network routing or VLAN data configuration between the power computing access device and the second power computing node through the SDN network controller and the power computing management platform, thereby opening an end-to-end route from the target device to the second power computing node. Since the target device can be pre-connected to the service access device through the local circuit, the operator's power network can be accessed without additional field engineering.
The second computing node is used for processing the distributed service flow.
It should be noted that, before traffic distribution is performed, the second computing node needs to install a corresponding application program.
For example, the target device may upload the image file of the application to be installed to the public image repository or the private image repository through the established OTN circuit or IP circuit. Alternatively, the target device may upload the image file of the application to be installed to the target file directory of the second computing node through a file transfer protocol (file transfer protocol, FTP)/SSH file transfer protocol (SSH file transfer protocol, SFTP), and then upload the image file to the public image repository or the private image repository through the second computing node.
The computing power scheduling device may then instruct the second computing power node to perform the corresponding computing, storage, allocation of network resources, and initialization configuration of the system environment for the virtual machine/server. And then, the second computing node downloads the image file of the application program to be installed from the image warehouse, and performs file copying expansion.
In this way, the computing power scheduling device can instruct the second computing power node to deploy and run the mirror image file of the application program, so as to complete the initialization of the service data configuration and the state synchronization. Wherein the configuration information includes virtual machine/server, container-related load balancing policy configurations internal to the second computing node.
The second computing node can bear the service flow distributed by the computing power dispatching device and carry out relevant processing. The power calculation scheduling device may shunt part of the service traffic from the self power calculation node of the target device to the second power calculation node through the newly created OTN circuit or the IP circuit according to a preset scheduling policy, and process the service traffic by an application program running on the second power calculation node, so as to achieve the effect of sharing the service processing load between the free power calculation node and the capacity expansion power calculation node.
After the service processing is completed, the computing power scheduling device may instruct the operator computing power scheduling device to execute the computing power resource releasing operation through the client service management device, so as to release the virtual machine or the container resource on the second computing power node and the corresponding IP address and port resource.
And then, the power computing scheduling device instructs the SDN network controller to remove OTN circuit or IP circuit resources and instructs the power computing management platform to delete network routing configuration of the power computing nodes.
Based on the above technical solution, the power computing scheduling device in the embodiments of the present application may create a communication circuit between the target device and each second power computing node, and allocate traffic to at least one second power computing node based on the communication circuit. In this way, the computing power scheduling device can realize the collaborative allocation of the self computing power resources of the service provider and the capacity-expansion computing power resources of the operators, and the computing power scheduling efficiency is improved.
The embodiment of the application may divide the functional modules or functional units of the computing power dispatching device according to the above method example, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice.
As shown in fig. 6, a schematic structural diagram of a computing power dispatching device 60 according to an embodiment of the present application is provided, where the computing power dispatching device 60 includes:
the processing unit 601 is configured to predict an expected traffic volume at a target time according to a traffic volume of the target device in a history period.
The processing unit 601 is further configured to determine a set of computing force nodes in case the predicted traffic is greater than a target threshold; the computing force node set comprises a plurality of computing force nodes connected with the target equipment.
The processing unit 601 is further configured to select at least one computing node from the set of computing nodes to provide computing resources for the target device.
In a possible implementation, the computing power scheduling device further includes an obtaining unit 602; an obtaining unit 602, configured to obtain a computing power node configuration table; the power computing node configuration table comprises node identifiers of a plurality of power computing nodes corresponding to the target equipment; the processing unit 601 is configured to determine, based on the computing power node configuration table, that a computing power node set includes a plurality of computing power nodes corresponding to the target device.
In a possible implementation manner, the obtaining unit 602 is configured to obtain location information of the target device; a processing unit 601, configured to determine, according to location information of a target device, that a set of computing force nodes includes a plurality of first computing force nodes; the first computing node is a computing node with a distance from the target device smaller than a preset distance.
In one possible implementation, the obtaining unit 602 is configured to obtain the computing power requirement of the target device; the computational power demand includes at least one of computational power capacity demand, transmission delay demand, and bandwidth demand; a processing unit 601 for determining at least one second computing force node satisfying the computing force demand from a set of computing force nodes; the processing unit 601 is further configured to provide computing power resources to the target device through at least one second computing power node.
In one possible implementation, the processing unit 601 is configured to: creating a communication circuit between the target device and each second computing node respectively; traffic is allocated to at least one second computing node based on the communication circuit.
When implemented in hardware, the acquisition unit 602 in the embodiments of the present application may be integrated on a communication interface, and the processing unit 601 may be integrated on a processor. A specific implementation is shown in fig. 7.
Fig. 7 shows a further possible structural schematic of the computing power scheduling device involved in the above-described embodiment. The power calculation scheduling device comprises: a processor 702 and a communication interface 703. The processor 702 is configured to control and manage the actions of the computing power scheduler, e.g., perform the steps performed by the processing unit 601 described above, and/or to perform other processes of the techniques described herein. The communication interface 703 is used to support communication of the power dispatching device with other network entities, for example, to perform the steps performed by the above-mentioned acquisition unit 602. The computing force scheduler may further comprise a memory 701 and a bus 704, the memory 701 being for storing program code and data of the computing force scheduler.
Wherein the memory 701 may be a memory in a power scheduler or the like, which may include a volatile memory such as a random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.
The processor 702 may be implemented or executed with the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.
The computing power scheduling device in fig. 7 may also be a chip. The chip includes one or more (including two) processors 702 and a communication interface 703.
In some embodiments, the chip also includes memory 701, which memory 701 may include read only memory and random access memory, and provides operating instructions and data to processor 702. A portion of memory 701 may also include non-volatile random access memory (NVRAM).
In some implementations, the memory 701 stores the elements, execution modules or data structures, or a subset thereof, or an extended set thereof.
In the embodiment of the present application, the corresponding operation is performed by calling the operation instruction stored in the memory 701 (the operation instruction may be stored in the operating system).
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of computing power scheduling in the method embodiments described above.
The embodiment of the application also provides a computer readable storage medium, in which instructions are stored, which when executed on a computer, cause the computer to execute the method for computing power scheduling in the method flow shown in the method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a register, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the computing power scheduling apparatus, the computer readable storage medium and the computer program product in the embodiments of the present application may be applied to the above-mentioned method, the technical effects that can be obtained by the computing power scheduling apparatus, the computer readable storage medium and the computer program product may also refer to the above-mentioned method embodiments, and the embodiments of the present application are not described herein again.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A method of power calculation scheduling, the method comprising:
predicting the predicted traffic of the target moment according to the traffic of the target equipment in the historical time;
determining a set of computing force nodes if the predicted traffic is greater than a target threshold; the computing power node set comprises a plurality of computing power nodes connected with the target equipment;
and selecting at least one computing node from the computing node set to provide computing resources for the target device.
2. The method of claim 1, wherein the determining the set of computing force nodes comprises:
acquiring a computing power node configuration table; the power calculation node configuration table comprises node identifiers of a plurality of power calculation nodes corresponding to the target equipment;
And determining a plurality of computing force nodes corresponding to the target equipment in the computing force node set based on the computing force node configuration table.
3. The method of claim 1, wherein the determining the set of computing force nodes comprises:
acquiring the position information of the target equipment;
determining that the computing power node set comprises a plurality of first computing power nodes according to the position information of the target equipment; the first computing node is a computing node with a distance from the target device smaller than a preset distance.
4. A method according to any of claims 1-3, wherein said selecting at least one computing node from the set of computing nodes to provide computing resources for the target device comprises:
acquiring the calculation force requirement of the target equipment; the computational power demand includes at least one of computational power capacity demand, transmission delay demand, and bandwidth demand;
determining at least one second computing force node from the set of computing force nodes that meets the computing force demand;
providing computing power resources to the target device through the at least one second computing power node.
5. The method of claim 4, wherein the providing, by the at least one second computing node, computing resources for the target device comprises:
Creating a communication circuit between the target device and each of the second computing nodes;
and distributing service traffic to the at least one second computing node based on the communication circuit.
6. The power calculation scheduling device is characterized by comprising a processing unit;
the processing unit is used for predicting the expected traffic of the target moment according to the traffic of the target equipment in the history duration;
the processing unit is further configured to determine a set of computing force nodes if the expected traffic is greater than a target threshold; the computing power node set comprises a plurality of computing power nodes connected with the target equipment;
the processing unit is further configured to select at least one computing node from the set of computing nodes to provide computing resources for the target device.
7. The apparatus according to claim 6, wherein the computing power scheduling apparatus further comprises an acquisition unit;
the acquisition unit is used for acquiring the power calculation node configuration table; the power calculation node configuration table comprises node identifiers of a plurality of power calculation nodes corresponding to the target equipment;
the processing unit is used for determining a plurality of computing force nodes corresponding to the target equipment in the computing force node set based on the computing force node configuration table.
8. The apparatus according to claim 6, wherein the computing power scheduling apparatus further comprises an acquisition unit;
the acquisition unit is used for acquiring the position information of the target equipment;
the processing unit is used for determining that the computing power node set comprises a plurality of first computing power nodes according to the position information of the target equipment; the first computing node is a computing node with a distance from the target device smaller than a preset distance.
9. The apparatus according to any one of claims 6-8, wherein the computing power scheduling apparatus further comprises an acquisition unit;
the acquisition unit is used for acquiring the calculation force requirement of the target equipment; the computational power demand includes at least one of computational power capacity demand, transmission delay demand, and bandwidth demand;
the processing unit is configured to determine at least one second computing force node that meets the computing force requirement from the set of computing force nodes;
the processing unit is further configured to provide, by the at least one second computing node, computing resources for the target device.
10. The apparatus of claim 9, wherein the processing unit is configured to:
creating a communication circuit between the target device and each of the second computing nodes;
And distributing service traffic to the at least one second computing node based on the communication circuit.
11. A computing power scheduling apparatus, comprising: a processor and a communication interface; the communication interface is coupled to the processor for running a computer program or instructions to implement the power dispatch method of any one of claims 1-5.
12. A computer readable storage medium having instructions stored therein which, when executed by a computer, perform the method of computational power scheduling of any one of claims 1-5.
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| CN116760885A (en) * | 2023-08-23 | 2023-09-15 | 亚信科技（中国）有限公司 | Method, device, equipment, medium and program product for managing computing power network business |
| CN116760885B (en) * | 2023-08-23 | 2023-10-17 | 亚信科技（中国）有限公司 | Method, device, equipment, medium and program product for managing computing power network business |
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