CN108566408A - Service processing method, device and storage medium - Google Patents
Service processing method, device and storage medium Download PDFInfo
- Publication number
- CN108566408A CN108566408A CN201810049353.9A CN201810049353A CN108566408A CN 108566408 A CN108566408 A CN 108566408A CN 201810049353 A CN201810049353 A CN 201810049353A CN 108566408 A CN108566408 A CN 108566408A
- Authority
- CN
- China
- Prior art keywords
- client
- calculation
- module
- server
- clients
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 42
- 238000004364 calculation method Methods 0.000 claims abstract description 188
- 238000012545 processing Methods 0.000 claims abstract description 63
- 238000011156 evaluation Methods 0.000 claims description 56
- 238000000034 method Methods 0.000 claims description 27
- 238000012216 screening Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 10
- 230000000977 initiatory effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a service processing method, which comprises the following steps: receiving a service request sent by a first client; responding to the service request, and determining a resource pool in a position area where the first client is located currently; splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client; and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client. The invention also discloses a service processing device and a storage medium.
Description
Technical Field
The present invention relates to a service processing technology in the field of communications, and in particular, to a service processing method, apparatus, and storage medium.
Background
With the continuous development of internet technology, the current regional cloud computing system is mainly based on a server cluster to complete a complete service processing flow, that is, each distributed server node is connected through a wired network, so that a topological structure cluster is formed, and service computing capability is realized by using each server node in the topological structure cluster. However, once a topological structure cluster is formed, the number of server nodes is difficult to dynamically adjust, and the computing power of the server nodes in the cloud computing system is fixed and cannot be flexibly adjusted according to actual conditions, so that when the computing load is smaller than the system capacity, system resources are easily wasted; when the calculation load is greater than the system capacity, a certain time is required for system capacity expansion, and then timely response cannot be achieved, so that the service processing efficiency is reduced.
Therefore, no effective solution exists in the related art on how to balance the service computing capacity and improve the service processing efficiency.
Disclosure of Invention
In view of this, embodiments of the present invention are intended to provide a service processing method, a service processing apparatus, and a storage medium, which are used to at least solve the problem that it is difficult to effectively balance service computing capabilities and improve service processing efficiency in the related art.
In order to achieve the above purpose, the technical solution of the embodiment of the present invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a service processing method, where the method includes:
receiving a service request sent by a first client;
responding to the service request, and determining a resource pool in a position area where the first client is located currently;
splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client;
and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client.
In a second aspect, an embodiment of the present invention provides a service processing method, where the method includes:
sending a service request to a server;
receiving a calculation result which is sent by the server and generated based on the service request;
the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
In a third aspect, an embodiment of the present invention provides a service processing method, where the method includes:
receiving at least two computation subtasks sent by a server, wherein the at least two computation subtasks are obtained by splitting a computation task corresponding to a service request sent by a first client by the server, and information of the computation subtasks comprises computation identifiers;
and respectively calculating the at least two calculation sub-tasks through calculation logic according to the calculation identification, and sending a calculation result to the server.
In a fourth aspect, an embodiment of the present invention provides a service processing apparatus, where the apparatus includes: the device comprises a first receiving module, a determining module, an obtaining module, a first sending module and a merging module; wherein,
the first receiving module is used for receiving a service request sent by a first client;
the determining module is configured to determine, in response to the service request, a resource pool in a location area where the first client is currently located;
the obtaining module is used for splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks;
the first sending module is configured to distribute the at least two computation subtasks to a second client, where the second client is a client that is accessed to the resource pool and is other than the first client;
the first receiving module is further configured to receive calculation results that are respectively generated by the second client for the at least two calculation sub-tasks;
the merging module is used for merging all calculation results;
the first sending module is further configured to send the combined calculation result to the first client.
In a fifth aspect, an embodiment of the present invention provides a service processing apparatus, where the apparatus includes: the second sending module and the second receiving module; wherein,
the second sending module is used for sending a service request to the server;
the second receiving module is configured to receive a calculation result sent by the server and generated based on the service request;
the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
In a sixth aspect, an embodiment of the present invention provides a service processing apparatus, where the apparatus includes: the third receiving module, the calculating module and the third sending module; wherein,
the third receiving module is configured to receive at least two computation subtasks sent by a server, where the at least two computation subtasks are obtained by splitting, by the server, a computation task corresponding to a service request sent by a first client, and information of the computation subtasks includes a computation identifier;
the computation module is used for respectively computing the at least two computation subtasks through computation logic according to the computation identifiers;
and the third sending module is used for sending the calculation result to the server.
In a seventh aspect, an embodiment of the present invention provides a storage medium, where an executable program is stored on the storage medium, and the executable program, when executed by a processor, implements the steps of the service processing method provided in the embodiment of the present invention.
In an eighth aspect, an embodiment of the present invention further provides a service processing apparatus, including a memory, a processor, and an executable program stored on the memory and capable of being executed by the processor, where the processor executes the steps of the service processing method provided in the embodiment of the present invention when executing the executable program.
The service processing method, the device and the storage medium provided by the embodiment of the invention receive a service request sent by a first client; responding to the service request, and determining a resource pool in a position area where the first client is located currently; splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client; and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client. Therefore, the intelligent terminal which is accessed to the wireless network is used as a distributed computing node, the safety of node access is ensured by relying on an application program installed in the intelligent terminal, and the intelligent terminal is easier to control than a server node; in addition, the embodiment of the invention determines the resource pool in the current position area of the first client, realizes the balance of service calculation by using the second client in the resource pool, and can dynamically adjust the number of the intelligent terminals accessed into the resource pool, thereby ensuring the reasonable utilization of system resources and improving the service processing efficiency.
Drawings
Fig. 1 is a schematic flow chart illustrating an implementation of a service processing method according to an embodiment of the present invention;
fig. 2 is a schematic view of an application scenario of service equalization processing according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an effect of a node cluster charging strategy according to an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating an implementation of another service processing method according to an embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating an implementation of another service processing method according to an embodiment of the present invention;
fig. 6 is a functional structure diagram of a service processing apparatus according to an embodiment of the present invention;
fig. 7 is a functional structure diagram of another service processing apparatus according to an embodiment of the present invention;
fig. 8 is a functional structure diagram of another service processing apparatus according to an embodiment of the present invention;
fig. 9 is a schematic hardware structure diagram of a service processing apparatus according to an embodiment of the present invention.
Detailed Description
So that the manner in which the features and aspects of the embodiments of the present invention can be understood in detail, a more particular description of the embodiments of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings.
Fig. 1 is a schematic flow chart illustrating an implementation process of a service processing method according to an embodiment of the present invention, where the service processing method is applied to a server side, such as a cloud server side; as shown in fig. 1, an implementation flow of the service processing method in the embodiment of the present invention may include the following steps:
step 101: and receiving a service request sent by the first client.
In the embodiment of the present invention, the first client may be located in a terminal device used by a user. The terminal device may include, but is not limited to, an electronic device such as a smart phone, a tablet computer, a palm computer, and the like. It should be noted that, although there is a corresponding relationship between the first client and the user, the relationship is not limited to a one-to-one corresponding relationship, and may be a one-to-many or many-to-one corresponding relationship.
Here, the first client may initiate a service request to the server through an application installed on a corresponding terminal device, such as an intelligent terminal. The service request may be a communication service request, such as a telephone charge charging service request, or may be other types of service requests, and the embodiment of the present invention is not specifically limited herein.
Step 102: and responding to the service request, and determining a resource pool in the current position area of the first client.
In this embodiment, the step specifically includes: defining a designated area by taking the position information of the current position of the first client as a reference, and sending heartbeat messages to all clients in the designated area;
performing performance evaluation on all the client sides receiving the heartbeat messages to obtain evaluation results;
and screening out second clients meeting the access conditions from all the clients according to the evaluation result, and forming the first client and each second client meeting the access conditions into the resource pool.
Here, the designated area defined based on the position information of the current position of the first client may be an area having a symmetrical pattern feature or an area having an irregular pattern feature. Taking the designated area as a symmetrical figure such as a circle as an example, the process of defining the designated area is briefly described, which is approximately: and taking the position information of the current position of the first client as a center, and delimiting a circular area according to a preset radius, wherein the circular area is the designated area. That is, the server may send heartbeat messages to all clients located within the circular area. The preset radius may be a radius set according to actual conditions, and for example, may be set to be 200 meters or 500 meters.
Here, before performing performance evaluation on all the clients receiving the heartbeat packet, the method further includes: detecting the network states of all the clients receiving the heartbeat message; and when The network state is detected to be a fourth Generation Communication System (4G) or Wireless Fidelity (WIFI), performing performance evaluation on all The clients receiving The heartbeat message.
Specifically, when determining whether the client can access the resource pool, the embodiment of the present invention may first determine the network connection type of the terminal device corresponding to the client, and only when the network connection type of the terminal device corresponding to the client is 4G or WIFI, allow the corresponding client to access the resource pool. And if the network connection type of the terminal device corresponding to the client is a network connection type other than 4G or WIFI, for example, a 2G or 3G network, the corresponding client does not have the condition of accessing the resource pool. That is, it is a precondition to detect the network states of all the clients that receive the heartbeat packet, and for the clients that do not satisfy the precondition, it is not necessary to evaluate the performance of the corresponding terminal device, so that the processing efficiency can be improved.
Here, the performance evaluation of all the clients that receive the heartbeat packet includes: evaluating the hardware performance and the battery capacity of all the clients receiving the heartbeat messages;
correspondingly, the screening out the second client meeting the access condition from all the clients according to the evaluation result comprises: and performing statistical calculation on the evaluation results of the hardware performance and the battery capacity of all the clients according to a preset access standard, and determining the client meeting the preset threshold range as a second client accessed to the resource pool when the calculation result meets the corresponding preset threshold range.
The hardware performance of the client may include a Central Processing Unit (CPU), a Read Only Memory (ROM), and a Random Access Memory (RAM).
In this embodiment, for all the clients that have received the heartbeat message sent by the server, according to a preset access standard, that is, an intelligent terminal access standard ═ CPU usage rate-corresponding set threshold value ═ CPU evaluation weight + (current battery power-minimum power threshold value) × battery evaluation weight + (RAM usage rate-corresponding set threshold value) × RAM evaluation weight + (ROM remaining space-corresponding set threshold value) × ROM evaluation weight, the state of the current intelligent terminal is calculated in real time, and the calculation result is fed back to the server through heartbeat. The CPU evaluation weight, the battery evaluation weight, the RAM evaluation weight and the ROM evaluation weight can be preset according to actual conditions.
It should be noted that, for a client that has accessed the resource pool, the connection state is maintained with the server through a timed heartbeat. The embodiment of the invention does not process the client which does not reach the access standard but is allocated with the calculation task; and for the client which does not meet the access standard and is not distributed with the calculation task currently, the server removes the client from the resource pool, and searches a new client to access the resource pool in a corresponding range.
Here, one resource pool can process multiple service requests simultaneously, when a client initiates a service request, if the client does not have a resource pool in the range, the resource pool is dynamically created by the server; and if the client side has the resource pool within the range, directly using the existing resource pool to perform service processing calculation. Each resource pool can support a plurality of serial numbers, namely, a plurality of service requests are simultaneously initiated, and the upper limit of the number of the service requests which can be supported by the resource pool can be determined by the configuration of the system. For a client, only one resource pool can be accessed simultaneously, and access cannot be repeated. In addition, if it is detected that the resource pool has no relevant service processing operation within a specified time, which is determined by the system configuration, the server will release all terminal devices in the resource pool.
Step 103: splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client.
In this embodiment, the number of the computing subtasks corresponds to the number of the second clients accessing the resource pool, so as to ensure that each second client can perform the balance processing of the service. Here, the number of clients in the resource pool can be flexibly adjusted according to actual conditions, so that reasonable utilization of resources is guaranteed.
Fig. 2 is a schematic view of an application scenario of service balancing processing provided in an embodiment of the present invention, as shown in fig. 2, a resource pool is formed by clients 1 to 4, after a service request is sent to a server by client 1, the server splits a computation task corresponding to the service request into three computation subtasks according to a predetermined task splitting policy, and distributes the three computation subtasks to client 2, client 3, and client 4 by sending a heartbeat message, so that the computation task corresponding to the service request is balanced by client 2, client 3, and client 4.
After the resource pool is dynamically established in the embodiment of the invention, the server can also generate a unique serial number for the service request, and the serial number is associated with the resource pool. For example, if the requested service is a telephone charge charging service, the generated serial number corresponds to a charging serial number.
Here, the task splitting policy may be to split the task according to an atomic computing capability, where the atomic computing capability is a minimum computing unit integrated in the application program. It should be noted that the information corresponding to the split computation subtask may include: serial number, input parameters, service request initiation time, calculation identification and the like. And the server packs the computing subtasks and sends the packed computing subtasks to second clients in the resource pool according to the serial number.
In this embodiment, when the at least two computation subtasks are distributed to the second client, the method further includes: detecting the current electric quantity value of each second client in the resource pool; and when the current electric quantity value of the second client is smaller than the corresponding preset threshold value, charging through a wireless charging transmitter.
Here, when the computing nodes of all the second clients that are involved in the current computing task are not enough in power and need to be charged in time, as shown in the schematic diagram of the node cluster charging strategy shown in fig. 3, when the target node needs to be charged, the target node that needs to be charged may be charged by the wireless charging transmitter through the relay node. The relay node is a computing node which is located in the same resource pool and is relatively close to the target node, but the relay node does not consume electric energy, and therefore wireless charging efficiency and distance of target node equipment can be effectively improved.
It should be noted that the wireless charging transmitter may be replaced by a node device with sufficient capacity near the target node device to be charged, such as the power node shown in fig. 3. The power node may be a node device with sufficient power in the same resource pool.
Step 104: and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client.
In this embodiment, after receiving at least two computation subtasks sent by the server, the second client performs computation on the at least two computation subtasks through computation logic according to computation identifiers included in information corresponding to the computation subtasks, so as to obtain computation results, and sends the computation results to the server.
Specifically, the information corresponding to the calculation subtask further includes an input parameter, where the input parameter may be parameter information related to the requested service, such as a parameter of a mobile phone number attribution related to a telephone charge charging service. In this way, the second client performs computation on at least two computation subtasks through the computation logic, which can be implemented in the following manner: and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit. The information corresponding to the calculation results generated respectively for the at least two calculation subtasks includes: serial number, calculation identification and output result. The output result may be output in the format of Java object markup language (JSON, Java Script object notification).
Here, at least two computation sub-tasks can be computed in a parallel or serial computing manner according to the service characteristics of different services.
In this embodiment, the combining the calculation results in this step specifically includes:
generating service serial number information corresponding to the service request;
and combining the calculation results generated aiming at the at least two calculation sub-tasks according to the service serial number information.
By adopting the technical scheme of the embodiment of the invention, the intelligent terminal in the wireless network is used as the distributed computing node, so that the control is easier compared with the server node in the existing cloud computing system; by determining the resource pool in the current position area of the first client, the second client in the resource pool is utilized to realize the balance of service calculation, and the number of intelligent terminals accessed into the resource pool can be dynamically adjusted, thereby ensuring the reasonable utilization of system resources and improving the service processing efficiency. In addition, the embodiment of the invention does not need to adopt a cable wire for power supply as in the prior art, thereby avoiding the waste of a large amount of resources and the cost of labor, but adopts a wireless cluster charging mode for charging, thereby ensuring the reliable operation of the system and improving the charging efficiency.
Fig. 4 is a schematic implementation flowchart of another service processing method provided in the embodiment of the present invention, where the service processing method is applied to a first client side; as shown in fig. 4, an implementation flow of the service processing method in the embodiment of the present invention may include the following steps:
step 401: and sending a service request to the server.
Here, the first client may initiate a service request to the server through an application installed on a corresponding terminal device, such as an intelligent terminal. The service request may be a communication service request, such as a telephone charge charging service request, or may be other types of service requests, and the embodiment of the present invention is not specifically limited herein.
Step 402: and receiving a calculation result which is sent by the server and generated based on the service request, wherein the calculation result is obtained by combining calculation results which are respectively generated by the server aiming at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
In this embodiment, the server may split the computation task corresponding to the service request according to a predetermined task splitting policy, so as to obtain at least two computation subtasks. The task splitting strategy can be that the task is split according to atomic computing capacity, wherein the atomic computing capacity is the minimum computing unit integrated in the application program. It should be noted that the information corresponding to the split computation subtask may include: serial number, input parameters, service request initiation time, calculation identification and the like.
Fig. 5 is a schematic implementation flowchart of another service processing method provided in the embodiment of the present invention, where the service processing method is applied to a second client side; as shown in fig. 5, an implementation flow of the service processing method in the embodiment of the present invention may include the following steps:
step 501: receiving at least two computation subtasks sent by a server, wherein the at least two computation subtasks are obtained by splitting a computation task corresponding to a service request sent by a first client by the server, and information of the computation subtasks includes computation identifiers.
Here, the server may split the computation task corresponding to the service request sent by the first client according to a predetermined task splitting policy, so as to obtain at least two computation subtasks. The task splitting strategy can be that the task is split according to atomic computing capacity, wherein the atomic computing capacity is the minimum computing unit integrated in the application program. It should be noted that the information corresponding to the split computation subtask may include: serial number, input parameters, service request initiation time, calculation identification and the like.
After the resource pool is dynamically established in the embodiment of the invention, the server can also generate a unique serial number for the service request, and the serial number is associated with the resource pool. For example, if the requested service is a telephone charge charging service, the generated serial number corresponds to a charging serial number.
And the server packages the computing subtasks and sends the packaged computing subtasks to second clients in the resource pool according to the serial number.
Step 502: and respectively calculating the at least two calculation sub-tasks through calculation logic according to the calculation identification, and sending a calculation result to the server.
The calculating the at least two calculation sub-tasks by the calculation logic respectively includes:
and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit.
Here, at least two computation sub-tasks can be computed in a parallel or serial computing manner according to the service characteristics of different services.
In order to implement the service processing method, an embodiment of the present invention further provides a service processing apparatus, where the service processing apparatus is applied to a server side, such as a cloud server side, and fig. 6 is a functional structure schematic diagram of a service processing apparatus provided in an embodiment of the present invention; as shown in fig. 6, the service processing apparatus includes a first receiving module 601, a determining module 602, an obtaining module 603, a first sending module 604, and a combining module 605; wherein,
the first receiving module 601 is configured to receive a service request sent by a first client;
the determining module 602 is configured to determine, in response to the service request, a resource pool in a location area where the first client is currently located;
the obtaining module 603 is configured to split the computation task corresponding to the service request according to a predetermined task splitting policy, so as to obtain at least two computation subtasks;
the first sending module 604 is configured to distribute the at least two computation subtasks to a second client, where the second client is a client that accesses the resource pool except the first client;
the first receiving module 601 is further configured to receive calculation results respectively generated by the second client for the at least two calculation sub-tasks;
the merging module 605 is configured to merge the calculation results;
the first sending module 604 is further configured to send the combined calculation result to the first client.
Here, the apparatus further includes: a detecting module 606, configured to detect a current electric quantity value of each second client in the resource pool when the first sending module 604 distributes the at least two computation subtasks to the second clients;
the device further comprises: a charging module 607, configured to charge through a wireless charging transmitter when it is determined that the current electric quantity value of the second client is smaller than a corresponding preset threshold.
Here, the determining module 602 further includes: the system comprises a planning submodule, a sending submodule, an evaluation submodule and a screening submodule; wherein,
the planning submodule is used for planning a specified area by taking the position information of the current position of the first client as a reference;
the sending submodule is used for sending heartbeat messages to all the clients located in the designated area;
the evaluation submodule is used for evaluating the performance of all the clients receiving the heartbeat messages to obtain an evaluation result;
and the screening submodule is used for screening second clients meeting the access conditions from all the clients according to the evaluation result, and forming the resource pool by the first client and the second clients meeting the access conditions.
The determining module 602 further includes: the detection submodule is used for detecting the network states of all the clients receiving the heartbeat messages before the performance evaluation of all the clients receiving the heartbeat messages is carried out by the evaluation submodule;
the evaluation sub-module is specifically configured to perform performance evaluation on all the clients that receive the heartbeat messages when the detection sub-module detects that the network status is 4G or WIFI.
Here, the evaluation submodule is specifically configured to: evaluating the hardware performance and the battery capacity of all the clients receiving the heartbeat messages;
the screening submodule is specifically configured to: and performing statistical calculation on the evaluation results of the hardware performance and the battery capacity of all the clients according to a preset access standard, and determining the client meeting the preset threshold range as a second client accessed to the resource pool when the calculation result meets the corresponding preset threshold range.
Here, the merging module 605 is specifically configured to: generating service serial number information corresponding to the service request; and combining the calculation results generated aiming at the at least two calculation sub-tasks according to the service serial number information.
In order to implement the foregoing service processing method, an embodiment of the present invention further provides another service processing apparatus, where the service processing apparatus is applied to a first client side, and fig. 7 is a schematic functional structure diagram of another service processing apparatus provided in the embodiment of the present invention; as shown in fig. 7, the service processing apparatus includes a second sending module 701 and a second receiving module 702; wherein,
the second sending module 701 is configured to send a service request to a server;
the second receiving module 702 is configured to receive a calculation result sent by the server and generated based on the service request;
the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
Here, the server may be a cloud server; the first client may be located in a terminal device used by a user. In the embodiment of the present invention, the terminal device may include, but is not limited to, an electronic device such as a smart phone, a tablet computer, a palmtop computer, and the like. It should be noted that, although there is a corresponding relationship between the first client and the user, the corresponding relationship is not limited to a one-to-one corresponding relationship, and may be a many-to-one or one-to-many corresponding relationship.
In order to implement the foregoing service processing method, an embodiment of the present invention further provides another service processing apparatus, where the service processing apparatus is applied to a second client side, and fig. 8 is a schematic functional structure diagram of another service processing apparatus provided in the embodiment of the present invention; as shown in fig. 8, the service processing apparatus includes a third receiving module 801, a calculating module 802, and a third sending module 803; wherein,
the third receiving module 801 is configured to receive at least two computation subtasks sent by a server, where the at least two computation subtasks are obtained by splitting, by the server, a computation task corresponding to a service request sent by a first client, and information of the computation subtasks includes a computation identifier;
the computation module 802 is configured to perform computation on the at least two computation subtasks through computation logic according to the computation identifier;
the third sending module 803 is configured to send the calculation result to the server.
Wherein the information of the calculation sub-task further comprises an input parameter;
the calculating module 802 is specifically configured to:
and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit.
Here, the server may be a cloud server; the second client may be located in a terminal device used by the user. In the embodiment of the present invention, the terminal device may include, but is not limited to, an electronic device such as a smart phone, a tablet computer, a palmtop computer, and the like. It should be noted that, although there is a corresponding relationship between the second client and the user, the relationship is not limited to a one-to-one corresponding relationship, and may be a many-to-one or one-to-many corresponding relationship.
It should be noted that: in the service processing device provided in each of the above embodiments, when performing service processing, only the division of each program module is illustrated, and in practical applications, the processing allocation may be completed by different program modules according to needs, that is, the internal structure of the service processing device is divided into different program modules to complete all or part of the processing described above. In addition, the service processing apparatus and the service processing method provided by the foregoing embodiments belong to the same concept, and specific implementation processes thereof are detailed in each service processing method embodiment and are not described herein again.
In practical applications, the determining module 602, the combining module 605, the detecting module 606, the charging module 607 and the calculating module 802 may be implemented by a CPU, a Microprocessor (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like located on a terminal device; the first receiving module 601, the obtaining module 603, the first sending module 604, the second sending module 701, the second receiving module 702, the third receiving module 801, and the third sending module 803 may be implemented by a communication module (including a basic communication suite, an operating system, a communication module, a standardized interface, a standardized protocol, and the like) and a transceiver antenna in practical application.
In order to implement the service processing method, an embodiment of the present invention further provides a hardware structure of a service processing apparatus. A hardware configuration of a service processing apparatus implementing an embodiment of the present invention, which may be implemented in various forms, such as various types of electronic devices, e.g., a server (e.g., a cloud server), a terminal device (e.g., a smartphone, a tablet computer, a palmtop computer), and the like, will now be described with reference to the accompanying drawings. Further description is made below on the hardware structure of the service processing apparatus according to the embodiment of the present invention, it is understood that fig. 9 only shows an exemplary structure of the service processing apparatus, and not a whole structure, and a part of or a whole structure shown in fig. 9 may be implemented as needed.
Referring to fig. 9, fig. 9 is a schematic diagram of a hardware structure of a service processing apparatus according to an embodiment of the present invention, which may be applied to various servers or terminal devices running application programs in practical applications, where the service processing apparatus 900 shown in fig. 9 includes: at least one processor 901, memory 902, a user interface 903, and at least one network interface 904. The various components in the business processing apparatus 900 are coupled together by a bus system 905. It will be appreciated that the bus system 905 is used to enable communications among the components. The bus system 905 includes a power bus, a control bus, and a status signal bus, in addition to a data bus. For clarity of illustration, however, the various buses are labeled in fig. 9 as bus system 905.
The user interface 903 may include a display, a keyboard, a mouse, a trackball, a click wheel, a key, a button, a touch pad, a touch screen, or the like, among others.
It will be appreciated that the memory 902 can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory.
The memory 902 in the embodiments of the present invention is used to store various types of data to support the operation of the business processing apparatus 900. Examples of such data include: any computer program for operating on the service processing apparatus 900, such as an executable program 9021 and an operating system 9022, may be included in the executable program 9021 or the operating system 9022, and a program for implementing the service processing method according to the embodiment of the present invention.
The service processing method disclosed by the embodiment of the present invention may be applied to the processor 901, or implemented by the processor 901. The processor 901 may be an integrated circuit chip having signal processing capabilities. In the implementation process, the steps of the service processing method may be implemented by an integrated logic circuit of hardware in the processor 901 or instructions in the form of software. The processor 901 described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 901 may implement or execute the service processing methods, steps and logic blocks provided in the embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the service processing method provided by the embodiment of the invention can be directly embodied as the execution of a hardware decoding processor, or the combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium located in the memory 902, and the processor 901 reads information in the memory 902, and completes the steps of the service processing method provided in the embodiment of the present invention in combination with hardware thereof.
In an embodiment of the present invention, the service processing apparatus 900 includes a memory 902, a processor 901, and an executable program 9021 that is stored in the memory 902 and can be executed by the processor 901, and when the processor 901 executes the executable program 9021, the following are implemented: receiving a service request sent by a first client; responding to the service request, and determining a resource pool in a position area where the first client is located currently; splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client; and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client.
As an embodiment, when the processor 901 runs the executable program 9021, the following is implemented: defining a designated area by taking the position information of the current position of the first client as a reference, and sending heartbeat messages to all clients in the designated area; performing performance evaluation on all the client sides receiving the heartbeat messages to obtain evaluation results; and screening out second clients meeting the access conditions from all the clients according to the evaluation result, and forming the first client and each second client meeting the access conditions into the resource pool.
As an embodiment, when the processor 901 runs the executable program 9021, the following is implemented: before performance evaluation is carried out on all the clients receiving the heartbeat messages, the network states of all the clients receiving the heartbeat messages are detected; and when the network state is detected to be 4G or WIFI, performing performance evaluation on all the clients receiving the heartbeat messages.
As an embodiment, when the processor 901 runs the executable program 9021, the following is implemented: evaluating the hardware performance and the battery capacity of all the clients receiving the heartbeat messages; and performing statistical calculation on the evaluation results of the hardware performance and the battery capacity of all the clients according to a preset access standard, and determining the client meeting the preset threshold range as a second client accessed to the resource pool when the calculation result meets the corresponding preset threshold range.
As an embodiment, when the processor 901 runs the executable program 9021, the following is implemented: detecting a current electric quantity value of each second client in the resource pool when the at least two computation subtasks are distributed to the second clients; and when the current electric quantity value of the second client is smaller than the corresponding preset threshold value, charging through a wireless charging transmitter.
In another embodiment of the present invention, the service processing apparatus 900 includes a memory 902, a processor 901, and an executable program 9021 stored on the memory 902 and capable of being executed by the processor 901, where the processor 901 implements, when executing the executable program 9021: sending a service request to a server; receiving a calculation result which is sent by the server and generated based on the service request; the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
In another embodiment of the present invention, the service processing apparatus 900 includes a memory 902, a processor 901, and an executable program 9021 stored on the memory 902 and capable of being executed by the processor 901, where the processor 901 implements, when executing the executable program 9021: receiving at least two computation subtasks sent by a server, wherein the at least two computation subtasks are obtained by splitting a computation task corresponding to a service request sent by a first client by the server, and information of the computation subtasks comprises computation identifiers; and respectively calculating the at least two calculation sub-tasks through calculation logic according to the calculation identification, and sending a calculation result to the server.
As an embodiment, when the processor 901 runs the executable program 9021, the following is implemented: the information of the computing subtask also comprises an input parameter; and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit.
In an exemplary embodiment of the present invention, a storage medium is provided, where executable program 9021 is stored on the storage medium, and when executed by processor 901, executable program 9021 implements: receiving a service request sent by a first client; responding to the service request, and determining a resource pool in a position area where the first client is located currently; splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client; and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client.
As an embodiment, the executable program 9021 when executed by the processor 901 realizes: defining a designated area by taking the position information of the current position of the first client as a reference, and sending heartbeat messages to all clients in the designated area; performing performance evaluation on all the client sides receiving the heartbeat messages to obtain evaluation results; and screening out second clients meeting the access conditions from all the clients according to the evaluation result, and forming the first client and each second client meeting the access conditions into the resource pool.
As an embodiment, the executable program 9021 when executed by the processor 901 realizes: before performance evaluation is carried out on all the clients receiving the heartbeat messages, the network states of all the clients receiving the heartbeat messages are detected; and when the network state is detected to be 4G or WIFI, performing performance evaluation on all the clients receiving the heartbeat messages.
As an embodiment, the executable program 9021 when executed by the processor 901 realizes: evaluating the hardware performance and the battery capacity of all the clients receiving the heartbeat messages; and performing statistical calculation on the evaluation results of the hardware performance and the battery capacity of all the clients according to a preset access standard, and determining the client meeting the preset threshold range as a second client accessed to the resource pool when the calculation result meets the corresponding preset threshold range.
As an embodiment, the executable program 9021 when executed by the processor 901 realizes: detecting a current electric quantity value of each second client in the resource pool when the at least two computation subtasks are distributed to the second clients; and when the current electric quantity value of the second client is smaller than the corresponding preset threshold value, charging through a wireless charging transmitter.
There is also provided in another exemplary embodiment of the present invention a storage medium, where an executable program 9021 is stored on the storage medium, and when executed by processor 901, the executable program 9021 implements: sending a service request to a server; receiving a calculation result which is sent by the server and generated based on the service request; the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
There is also provided in another exemplary embodiment of the present invention a storage medium, where an executable program 9021 is stored on the storage medium, and when executed by processor 901, the executable program 9021 implements: receiving at least two computation subtasks sent by a server, wherein the at least two computation subtasks are obtained by splitting a computation task corresponding to a service request sent by a first client by the server, and information of the computation subtasks comprises computation identifiers; and respectively calculating the at least two calculation sub-tasks through calculation logic according to the calculation identification, and sending a calculation result to the server.
As an embodiment, the executable program 9021 when executed by the processor 901 realizes: the information of the computing subtask also comprises an input parameter; and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit.
In the above exemplary embodiments, the storage medium may be a storage medium such as an optical disc, a flash memory, or a magnetic disc, and may be a non-transitory storage medium.
The embodiment of the invention receives a service request sent by a first client; responding to the service request, and determining a resource pool in a position area where the first client is located currently; splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client; and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client. Therefore, the intelligent terminal which is accessed to the wireless network is used as a distributed computing node, the safety of node access is ensured by relying on an application program installed in the intelligent terminal, and the intelligent terminal is easier to control than a server node; in addition, the embodiment of the invention determines the resource pool in the current position area of the first client, realizes the balance of service calculation by using the second client in the resource pool, and can dynamically adjust the number of the intelligent terminals accessed into the resource pool, thereby ensuring the reasonable utilization of system resources and improving the service processing efficiency.
The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents, improvements, etc. that are within the spirit and principle of the present invention should be included in the present invention.
Claims (22)
1. A service processing method is applied to a server, and the method comprises the following steps:
receiving a service request sent by a first client;
responding to the service request, and determining a resource pool in a position area where the first client is located currently;
splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks, and distributing the at least two computing subtasks to a second client, wherein the second client is a client which is accessed to the resource pool and is except the first client;
and receiving the calculation results respectively generated by the second client aiming at the at least two calculation sub-tasks, combining the calculation results, and sending the combined calculation results to the first client.
2. The traffic processing method according to claim 1, wherein the determining a resource pool in the location area where the first client is currently located comprises:
defining a designated area by taking the position information of the current position of the first client as a reference, and sending heartbeat messages to all clients in the designated area;
performing performance evaluation on all the client sides receiving the heartbeat messages to obtain evaluation results;
and screening out second clients meeting the access conditions from all the clients according to the evaluation result, and forming the first client and each second client meeting the access conditions into the resource pool.
3. The traffic processing method according to claim 2, wherein before the performance evaluation of all the clients receiving the heartbeat packet, the method further comprises:
detecting the network states of all the clients receiving the heartbeat message;
and when the network state is detected to be a fourth generation communication system 4G or wireless fidelity WIFI, performing performance evaluation on all the clients receiving the heartbeat messages.
4. The service processing method according to claim 2 or 3, wherein the performing performance evaluation on all the clients receiving the heartbeat packet includes:
evaluating the hardware performance and the battery capacity of all the clients receiving the heartbeat messages;
the screening out the second client meeting the access condition from all the clients according to the evaluation result comprises the following steps:
and performing statistical calculation on the evaluation results of the hardware performance and the battery capacity of all the clients according to a preset access standard, and determining the client meeting the preset threshold range as a second client accessed to the resource pool when the calculation result meets the corresponding preset threshold range.
5. The business processing method of claim 1, wherein in said distributing said at least two computing subtasks to a second client, the method further comprises:
detecting the current electric quantity value of each second client in the resource pool;
and when the current electric quantity value of the second client is smaller than the corresponding preset threshold value, charging through a wireless charging transmitter.
6. A service processing method is applied to a first client, and the method comprises the following steps:
sending a service request to a server;
receiving a calculation result which is sent by the server and generated based on the service request;
the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
7. A service processing method is applied to a second client, and the method comprises the following steps:
receiving at least two computation subtasks sent by a server, wherein the at least two computation subtasks are obtained by splitting a computation task corresponding to a service request sent by a first client by the server, and information of the computation subtasks comprises computation identifiers;
and respectively calculating the at least two calculation sub-tasks through calculation logic according to the calculation identification, and sending a calculation result to the server.
8. A business process method according to claim 7 wherein the information of the computational sub-tasks further includes input parameters;
the calculating the at least two calculation subtasks by the calculation logic, respectively, includes:
and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit.
9. A service processing apparatus, wherein the apparatus is applied to a server, and the apparatus comprises: the device comprises a first receiving module, a determining module, an obtaining module, a first sending module and a merging module; wherein,
the first receiving module is used for receiving a service request sent by a first client;
the determining module is configured to determine, in response to the service request, a resource pool in a location area where the first client is currently located;
the obtaining module is used for splitting the computing task corresponding to the service request according to a preset task splitting strategy to obtain at least two computing subtasks;
the first sending module is configured to distribute the at least two computation subtasks to a second client, where the second client is a client that is accessed to the resource pool and is other than the first client;
the first receiving module is further configured to receive calculation results that are respectively generated by the second client for the at least two calculation sub-tasks;
the merging module is used for merging all calculation results;
the first sending module is further configured to send the combined calculation result to the first client.
10. The traffic processing apparatus of claim 9, wherein the determining module comprises: the system comprises a planning submodule, a sending submodule, an evaluation submodule and a screening submodule; wherein,
the planning submodule is used for planning a specified area by taking the position information of the current position of the first client as a reference;
the sending submodule is used for sending heartbeat messages to all the clients located in the designated area;
the evaluation submodule is used for evaluating the performance of all the clients receiving the heartbeat messages to obtain an evaluation result;
and the screening submodule is used for screening second clients meeting the access conditions from all the clients according to the evaluation result, and forming the resource pool by the first client and the second clients meeting the access conditions.
11. The traffic processing apparatus of claim 10, wherein the determining module further comprises: the detection submodule is used for detecting the network states of all the clients receiving the heartbeat messages before the performance evaluation of all the clients receiving the heartbeat messages is carried out by the evaluation submodule;
the evaluation sub-module is specifically configured to perform performance evaluation on all the clients that receive the heartbeat messages when the detection sub-module detects that the network status is 4G or WIFI.
12. The traffic processing apparatus according to claim 10 or 11, wherein the evaluation sub-module is specifically configured to: evaluating the hardware performance and the battery capacity of all the clients receiving the heartbeat messages;
the screening submodule is specifically configured to: and performing statistical calculation on the evaluation results of the hardware performance and the battery capacity of all the clients according to a preset access standard, and determining the client meeting the preset threshold range as a second client accessed to the resource pool when the calculation result meets the corresponding preset threshold range.
13. The traffic processing apparatus according to claim 9, wherein said apparatus further comprises: the detection module is used for detecting the current electric quantity value of each second client in the resource pool when the first sending module distributes the at least two computation subtasks to the second clients;
the device further comprises: and the charging module is used for charging through a wireless charging transmitter when the current electric quantity value of the second client is determined to be smaller than the corresponding preset threshold value.
14. A service processing apparatus, applied to a first client, the apparatus comprising: the second sending module and the second receiving module; wherein,
the second sending module is used for sending a service request to the server;
the second receiving module is configured to receive a calculation result sent by the server and generated based on the service request;
the calculation result is obtained by combining calculation results respectively generated by the server for at least two calculation sub-tasks, and the at least two calculation sub-tasks are obtained by splitting the calculation task corresponding to the service request by the server.
15. A service processing apparatus, applied to a second client, the apparatus comprising: the third receiving module, the calculating module and the third sending module; wherein,
the third receiving module is configured to receive at least two computation subtasks sent by a server, where the at least two computation subtasks are obtained by splitting, by the server, a computation task corresponding to a service request sent by a first client, and information of the computation subtasks includes a computation identifier;
the computation module is used for respectively computing the at least two computation subtasks through computation logic according to the computation identifiers;
and the third sending module is used for sending the calculation result to the server.
16. A transaction device according to claim 15, wherein the information for computing a sub-task further comprises input parameters;
the calculation module is specifically configured to:
and calling a calculation logic interface in a local application program, respectively importing the input parameters into a calculation logic unit corresponding to each second client through the calculation logic interface, and calculating the at least two calculation sub-tasks in the calculation logic unit.
17. A storage medium having stored thereon an executable program, characterized in that the executable program, when executed by a processor, implements the steps of the business process method of any one of claims 1 to 5.
18. A storage medium having stored thereon an executable program, characterized in that the executable program, when executed by a processor, implements the steps of the business process method of claim 6.
19. A storage medium having stored thereon an executable program, characterized in that the executable program, when executed by a processor, implements the steps of the business process method of claim 7 or 8.
20. A transaction device comprising a memory, a processor and an executable program stored on the memory and executable by the processor, wherein the processor executes the executable program to perform the steps of the transaction method according to any of claims 1 to 5.
21. A transaction device comprising a memory, a processor and an executable program stored on the memory and executable by the processor, wherein the processor executes the executable program to perform the steps of the transaction method of claim 6.
22. A transaction device comprising a memory, a processor and an executable program stored on the memory and executable by the processor, wherein the steps of the transaction method according to claim 7 or 8 are performed when the executable program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810049353.9A CN108566408A (en) | 2018-01-18 | 2018-01-18 | Service processing method, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810049353.9A CN108566408A (en) | 2018-01-18 | 2018-01-18 | Service processing method, device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108566408A true CN108566408A (en) | 2018-09-21 |
Family
ID=63530885
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810049353.9A Pending CN108566408A (en) | 2018-01-18 | 2018-01-18 | Service processing method, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108566408A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110113387A (en) * | 2019-04-17 | 2019-08-09 | 深圳前海微众银行股份有限公司 | A kind of processing method based on distributed batch processing system, apparatus and system |
| CN110209496A (en) * | 2019-05-20 | 2019-09-06 | 中国平安财产保险股份有限公司 | Task sharding method, device and sliced service device based on data processing |
| CN111327691A (en) * | 2020-01-23 | 2020-06-23 | 联想(北京)有限公司 | Service processing method and device and electronic equipment |
| CN111858585A (en) * | 2020-06-30 | 2020-10-30 | 深圳幂度信息科技有限公司 | Block chain strategy processing device, computer readable storage medium and terminal equipment |
| CN112527471A (en) * | 2019-09-19 | 2021-03-19 | 中移(苏州)软件技术有限公司 | Task processing method and device and storage medium |
| CN113574835A (en) * | 2019-02-28 | 2021-10-29 | 思科技术公司 | System and method for flow-based on-demand policy enforcement in a multi-cloud environment |
| WO2022121991A1 (en) * | 2020-12-11 | 2022-06-16 | 华为技术有限公司 | Communication method, apparatus and system |
| CN109669773B (en) * | 2018-11-12 | 2024-03-08 | 平安科技（深圳）有限公司 | Financial data processing method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103260194A (en) * | 2013-05-06 | 2013-08-21 | 西安邮电大学 | Wireless sensor distributary system based on cloud computing |
| CN104899103A (en) * | 2015-07-03 | 2015-09-09 | 中国人民解放军国防科学技术大学 | Energy-saving scheduling method and energy-saving scheduling device for mobile cloud computing terminal |
| KR20170126710A (en) * | 2016-05-10 | 2017-11-20 | 홍익대학교세종캠퍼스산학협력단 | Mouse input device and method of mobile terminal using 3d touch input type in mobile cloud computing client environments |
| CN107508792A (en) * | 2017-07-13 | 2017-12-22 | 福建师范大学 | A kind of data credible cognitive method in mobile cloud computing |
-
2018
- 2018-01-18 CN CN201810049353.9A patent/CN108566408A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103260194A (en) * | 2013-05-06 | 2013-08-21 | 西安邮电大学 | Wireless sensor distributary system based on cloud computing |
| CN104899103A (en) * | 2015-07-03 | 2015-09-09 | 中国人民解放军国防科学技术大学 | Energy-saving scheduling method and energy-saving scheduling device for mobile cloud computing terminal |
| KR20170126710A (en) * | 2016-05-10 | 2017-11-20 | 홍익대학교세종캠퍼스산학협력단 | Mouse input device and method of mobile terminal using 3d touch input type in mobile cloud computing client environments |
| CN107508792A (en) * | 2017-07-13 | 2017-12-22 | 福建师范大学 | A kind of data credible cognitive method in mobile cloud computing |
Non-Patent Citations (1)
| Title |
|---|
| 王祝琳: "移动云计算中任务分配策略研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109669773B (en) * | 2018-11-12 | 2024-03-08 | 平安科技（深圳）有限公司 | Financial data processing method, device, equipment and storage medium |
| CN113574835A (en) * | 2019-02-28 | 2021-10-29 | 思科技术公司 | System and method for flow-based on-demand policy enforcement in a multi-cloud environment |
| CN113574835B (en) * | 2019-02-28 | 2023-05-26 | 思科技术公司 | System and method for flow-based on-demand policy enforcement in a multi-cloud environment |
| CN110113387A (en) * | 2019-04-17 | 2019-08-09 | 深圳前海微众银行股份有限公司 | A kind of processing method based on distributed batch processing system, apparatus and system |
| CN110209496A (en) * | 2019-05-20 | 2019-09-06 | 中国平安财产保险股份有限公司 | Task sharding method, device and sliced service device based on data processing |
| CN112527471A (en) * | 2019-09-19 | 2021-03-19 | 中移(苏州)软件技术有限公司 | Task processing method and device and storage medium |
| CN111327691A (en) * | 2020-01-23 | 2020-06-23 | 联想(北京)有限公司 | Service processing method and device and electronic equipment |
| CN111327691B (en) * | 2020-01-23 | 2022-03-25 | 联想(北京)有限公司 | Service processing method and device and electronic equipment |
| CN111858585A (en) * | 2020-06-30 | 2020-10-30 | 深圳幂度信息科技有限公司 | Block chain strategy processing device, computer readable storage medium and terminal equipment |
| WO2022121991A1 (en) * | 2020-12-11 | 2022-06-16 | 华为技术有限公司 | Communication method, apparatus and system |
| EP4250800A4 (en) * | 2020-12-11 | 2024-05-01 | Huawei Technologies Co., Ltd. | Communication method, apparatus and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108566408A (en) | Service processing method, device and storage medium | |
| Xu et al. | A survey of opportunistic offloading | |
| CN109218355B (en) | Load balancing engine, client, distributed computing system and load balancing method | |
| KR102688621B1 (en) | Communication methods and devices, computer-readable media, and electronic devices | |
| Wang et al. | A fog-based architecture and programming model for iot applications in the smart grid | |
| JP6538869B2 (en) | Network management | |
| CN113709048A (en) | Routing information sending and receiving method, network element and node equipment | |
| Li et al. | Deployment of edge servers in 5G cellular networks | |
| WO2022252717A1 (en) | Homogeneous-heterogeneous hybrid multi-core chip architecture for implementing electric power data processing | |
| Kapgate | Efficient service broker algorithm for data center selection in cloud computing | |
| CN112925607A (en) | System capacity expansion and contraction method and device and electronic equipment | |
| Manaseer et al. | An advanced algorithm for load balancing in cloud computing using MEMA technique | |
| Akter et al. | Q-MAC: QoS and mobility aware optimal resource allocation for dynamic application offloading in mobile cloud computing | |
| CN115460216A (en) | Calculation force resource scheduling method and device, calculation force resource scheduling equipment and system | |
| US20230136612A1 (en) | Optimizing concurrent execution using networked processing units | |
| Hasan et al. | Dynamic load balancing model based on server status (DLBS) for green computing | |
| CN112104679B (en) | Method, apparatus, device and medium for processing hypertext transfer protocol request | |
| CN106465257B (en) | Wireless network control method and wireless network controller | |
| Kadhim et al. | Hybrid load-balancing algorithm for distributed fog computing in internet of things environment | |
| Durga et al. | Context-aware adaptive resource provisioning for mobile clients in intra-cloud environment | |
| CN104580095A (en) | API resource acquisition method and device | |
| CN103297542A (en) | Operating system bus and balancing method supporting online expansion and retraction of components | |
| CN103220363A (en) | Distributed network training resource management system based on cloud computing and scheduling method | |
| CN112399388B (en) | Method, device and system for realizing edge calculation | |
| CN106793093B (en) | Service processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180921 |