CN113419865A - Cloud resource processing method, related device and computer program product - Google Patents
Cloud resource processing method, related device and computer program product Download PDFInfo
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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Abstract
The disclosure provides a cloud resource processing method and device, electronic equipment, a computer readable storage medium and a computer program product, relates to the technical field of computers such as cloud computing, cloud service and interface processing, and can be applied to a cloud platform for providing services for intelligent wearable equipment. One embodiment of the method comprises: the method comprises the steps of responding to a received resource use request of the intelligent wearable device, obtaining display parameters of the intelligent wearable device, processing a task corresponding to the resource use request, generating a feedback interface based on a processing result, adjusting the feedback interface according to the display parameters to obtain an adjustment adaptive interface, and finally returning the adjustment adaptive interface to the intelligent wearable device. According to the embodiment, after the resource use request of the intelligent wearable device is processed, the processing result is adapted according to the display parameter of the intelligent wearable device, and the interaction capacity of the intelligent wearable device is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to the field of computer technologies such as cloud computing, cloud services, and interface processing, which may be applied to a cloud platform providing services for smart wearable devices, and in particular, to a cloud resource processing method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product.
Background
Along with the continuous progress of science and technology, in order to promote people's quality of life, more and more traditional wearing equipment has carried out intelligent transformation by the service provider, through carrying out the interaction between wearable accessible interactive system of intelligence after the transformation and the user, at any time, anywhere provide service for the user.
Disclosure of Invention
The embodiment of the disclosure provides a cloud resource processing method and device, electronic equipment, a computer readable storage medium and a computer program product.
In a first aspect, an embodiment of the present disclosure provides a cloud resource processing method, including: in response to receiving a resource use request of a smart wearable device, obtaining display parameters of the smart wearable device; processing the task corresponding to the resource use request, and generating a feedback interface based on a processing result; adjusting the feedback interface according to the display parameters to obtain an adjusted adaptive interface; and returning the adjustment adaptation interface to the intelligent wearable device, and controlling the intelligent wearable device to display the adjustment adaptation interface.
In a second aspect, an embodiment of the present disclosure provides a cloud resource processing apparatus, including: a display parameter acquisition unit configured to acquire a display parameter of a smart wearable device in response to receiving a resource usage request of the smart wearable device; the feedback interface generating unit is configured to generate a feedback interface based on a processing result after processing the task corresponding to the resource use request; the adjustment adaptive interface generating unit is configured to adjust the feedback interface according to the display parameters to obtain an adjustment adaptive interface; and the adjustment adaptation interface sending unit is configured to return the adjustment adaptation interface to the intelligent wearable device and control the intelligent wearable device to display the adjustment adaptation interface.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to implement the cloud resource processing method as described in any implementation manner of the first aspect.
In a fourth aspect, the present disclosure provides a non-transitory computer readable storage medium storing computer instructions for enabling a computer to implement the cloud resource processing method as described in any implementation manner of the first aspect when executed.
In a fifth aspect, the present disclosure provides a computer program product including a computer program, which when executed by a processor is capable of implementing the cloud resource processing method as described in any implementation manner of the first aspect.
According to the cloud resource processing method, the cloud resource processing device, the electronic equipment, the computer readable storage medium and the computer program product, when a resource use request of the intelligent wearable equipment is received, a response is made to obtain a display parameter of the intelligent wearable equipment, a task corresponding to the resource use request is processed, a feedback interface is generated based on a processing result, the feedback interface is adjusted according to the display parameter to obtain an adjustment adaptive interface, and finally the adjustment adaptive interface is returned to the intelligent wearable equipment.
The resource use request of the intelligent wearable device can be processed, the processing result is adapted according to the display parameter of the intelligent wearable device, the interaction capacity of the intelligent wearable device is improved, and meanwhile the optimization cost when each application in the intelligent wearable device is optimized is reduced.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
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Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture to which the present disclosure may be applied;
fig. 2 is a flowchart of a cloud resource processing method according to an embodiment of the present disclosure;
fig. 3 is a flowchart of another cloud resource processing method provided by the embodiment of the present disclosure;
4-1, 4-2, 4-3 and 4-4 are schematic diagrams illustrating effects of the cloud resource processing method in an application scenario according to the embodiment of the present disclosure;
fig. 5 is a block diagram of a cloud resource processing apparatus according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device adapted to execute a cloud resource processing method according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict.
In addition, in the technical scheme related to the disclosure, the acquisition, storage, application and the like of the personal information of the related user all conform to the regulations of related laws and regulations, and do not violate the good custom of the public order.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the cloud resource processing methods, apparatuses, electronic devices, and computer-readable storage media of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various applications for realizing information communication between the terminal devices 101, 102, 103 and the server 105, such as a cloud computing application, a remote control application, an instant communication application, etc., may be installed on the terminal devices 101, 102, 103 and the server 105.
The terminal apparatuses 101, 102, 103 and the server 105 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various smart wearable devices having a display screen, including but not limited to smart watches, smart glasses, and the like; when the terminal devices 101, 102, and 103 are software, they may be installed in the electronic devices listed above, and they may be implemented as multiple software or software modules, or may be implemented as a single software or software module, and are not limited in this respect. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of multiple servers, or may be implemented as a single server; when the server is software, the server may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited herein.
The server 105 may provide various services through various built-in applications, for example, a cloud computing application that may provide cloud computing services, and when the server 105 runs the cloud computing application, the following effects may be achieved: first, the server 105 responds to a resource use request sent by the terminal devices 101, 102, 103 through the network 104, and acquires display parameters of the terminal device that sent the resource use request; then, the server 105 processes the task corresponding to the resource use request, and generates a feedback interface based on the processing result; next, the server 105 adjusts the feedback interface according to the acquired display parameters to obtain an adjusted adaptive interface; finally, the server 105 feeds back the adapted interface to the smart wearable device, and controls the smart wearable device to display the adapted interface.
It should be noted that the display parameters of the smart wearable device may be acquired from the terminal devices 101, 102, and 103 through the network 104, or may be stored locally in the server 105 in advance through various manners, and when a resource use request is issued to the server 105 by a subsequent smart wearable device, the server 105 may be informed to match the corresponding display parameters locally according to the device identifier by sending a device identifier and the like.
Since the resource usage request needs to occupy more computation resources and stronger computation capability when responding to the resource usage request, the cloud resource processing method provided in the following embodiments of the present disclosure is generally executed by the server 105 having stronger computation capability and more computation resources, and accordingly, the cloud resource processing apparatus is generally also disposed in the server 105. However, it should be noted that when the terminal devices 101, 102, and 103 also have computing capabilities and computing resources meeting the requirements, the terminal devices 101, 102, and 103 may also help other non-local terminal devices to complete the above-mentioned operations performed by the server 105 through the cloud computing application installed thereon, and then output the same result as the result of the server 105. Accordingly, the cloud resource processing device may be provided in the terminal apparatuses 101, 102, and 103.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring to fig. 2, fig. 2 is a flowchart of a cloud resource processing method according to an embodiment of the present disclosure, where the process 200 includes the following steps:
In this embodiment, an executing entity (for example, the server 105 shown in fig. 1) of the cloud resource processing method responds to a resource usage request of a smart wearable device, and obtains display parameters of the smart wearable device, where the display parameters generally include parameters such as a shape, a size, and supportable resolution information of a display component of the smart wearable device.
It should be noted that the display parameters of the smart wearable device may be pre-stored locally in the execution subject, and the subsequent smart wearable device may instruct the execution subject to query the corresponding display parameters by sending a device identifier, or the display parameters may be sent by the smart wearable device together when sending the resource usage request, or the display parameters may be returned by the smart wearable device after the execution subject sends the display parameter acquisition request to the smart wearable device.
In this embodiment, the execution main body processes according to the resource usage request, where the resource usage request of the smart wearable device may be an explicit data packet and a processing requirement related to the data packet, so that after the execution main body responds to the resource usage request, the execution main body processes the data packet according to the processing requirement to obtain a corresponding processing result and generate a feedback interface for feeding back the processing result.
In some optional implementation manners of this embodiment, when the resource usage request is an application invocation request, after the execution main body responds to the application invocation request, an application interface corresponding to the application may be fed back to the smart wearable device, so that the user may use the application according to the smart wearable device, at this time, the feedback interface may be an application interface of the application, so that the user may directly invoke the application in the cloud platform and other terminal devices based on the used smart wearable device, and the application does not need to be optimized based on the operating environment of the smart wearable device, thereby saving optimized resources.
And step 203, adjusting the feedback interface according to the display parameters to obtain an adjustment adaptive interface.
In this embodiment, the feedback interface generated in step 202 is obtained, and the feedback interface is adjusted according to the display parameters, so as to obtain an adjustment adaptive interface conforming to the display parameters.
In the process of adjusting the feedback interface, the display form of the content in the feedback interface may also be changed based on the display of the display parameter, for example, when each content in the feedback interface is displayed in the form of an icon, when the size of the display component of the smart wearable device indicated in the display parameter is smaller than the preferred size of the feedback interface and the difference between the two is larger than a preset threshold, the display form of each content in the feedback interface may be adjusted to replace the form of the icon in the form of a list, or the like, so as to improve the quality of the display content in the adjustment adaptation interface.
And 204, returning the adjustment adaptation interface to the intelligent wearable device, and controlling the intelligent wearable device to display the adjustment adaptation interface.
In this embodiment, after the execution subject obtains the adaptation interface based on step 203, the adaptation interface is returned to the smart wearable device that issued the resource use request, and the smart wearable device is controlled to display the adaptation interface, and then the adaptation interface that is adapted to the display component of the smart wearable device is used to present the adaptation.
According to the cloud resource processing method provided by the embodiment of the disclosure, after the resource use request of the intelligent wearable device is processed, the processing result is adapted according to the display parameter of the intelligent wearable device, so that the interaction capability of the intelligent wearable device is improved, and the optimization cost when each application in the intelligent wearable device is optimized is reduced.
In some optional implementation manners of this embodiment, the cloud resource processing method further includes: and acquiring the use posture of the intelligent wearable device, and adjusting the display parameters according to the use posture.
Specifically, because the display condition of the smart wearable device is often influenced by the posture of the wearing part, the use posture of the smart wearable device can be acquired for better adapting the actual use state and posture of the user using the smart wearable device, and the part of the display assembly of the smart wearable device, which can be observed by the user, is determined according to the use posture to adjust the acquired display parameters.
The use posture of the intelligent wearable device can include factors such as an angle presented by a display component of the intelligent wearable device and the like, which influence the observation of the display component by using the user wearable device.
In some optional implementation manners of this embodiment, the cloud resource processing method further includes: sending a display area indication request to the smart wearable device; controlling the intelligent wearable equipment to prompt a user to perform display area indication operation, and returning display area indication information generated according to the display area indication operation performed by the user; and adjusting the display parameters according to the display area indication information.
Specifically, in order to better meet the actual demand for using the intelligent wearable device, the execution main body may further send a display area indication request to the intelligent wearable device after obtaining the display parameters of the intelligent wearable device, control the intelligent wearable device to prompt the user to perform a display area indication operation, and return display area indication information generated according to the display area indication operation performed by the user, where the display area indication request is used to indicate a display position where the user desires to display an adjustment adaptation interface in the intelligent wearable device, and after receiving the display area indication information fed back, the execution main body may adjust the display parameters according to the display area indication information, so that the adjustment adaptation interface may be displayed in a display area desired by the user.
The display area of the intelligent wearable device, which can be used for displaying the adjustment adaptation interface, can be divided in advance, and the division result is numbered correspondingly, so that the user can select the corresponding display area according to the number.
Further, referring to fig. 3, when the resource usage request is an application call request, fig. 3 is a flowchart of another cloud resource processing method provided in the embodiment of the present disclosure, where the process 300 includes the following steps:
In this embodiment, a target application corresponding to the resource use request is obtained, and a function list that can provide a function in the target application is obtained.
In this embodiment, the function list obtained in step 302 is sent to the smart wearable device, so that the user can filter the functions in the target application according to the content in the function list, and obtain the functions that the user desires to use and the application that has little value to the user.
In response to receiving function selection information returned by the smart wearable device for the function list, the feedback interface of the target application is adjusted based on the target function selected by the function selection information, step 304.
In this embodiment, after the function list is fed back to the smart wearable device in step 303, the user may use the function list to complete the selection of the desired function, and then return the corresponding function selection information to the execution main body through the smart wearable device, and after receiving the function selection information, the execution main body may reserve the selected target function, and after deleting the unselected function, adjust the feedback interface according to the reserved target function, and delete the function with little value to the user from the application of the target application.
And 305, generating a feedback interface based on the adjusted application interface.
And step 306, adjusting the feedback interface according to the display parameters to obtain an adjustment adaptive interface.
And 307, returning the adjustment adaptation interface to the intelligent wearable device, and controlling the intelligent wearable device to display the adjustment adaptation interface.
The steps 301 and 305-307 are the same as the steps 201 and 202-204 shown in fig. 2, and the contents of the same portions refer to the corresponding portions of the previous embodiment, which are not repeated herein.
On the basis of the embodiment corresponding to fig. 2, in this embodiment, further, each function may be screened according to the use requirement of the user for each function in the target application, and according to the result after screening, the function with higher use value for the user is reserved, so as to more effectively utilize the display space in the smart wearable device.
In some optional implementation manners of this embodiment, the cloud resource processing method further includes: and adjusting a feedback interface of an alternative application which can be provided for the intelligent wearable device according to the display parameter.
Specifically, after the display parameters of the intelligent wearable device are acquired, the feedback interface of the optional application which is locally stored by the execution main body and can be provided for the intelligent wearable device can be adjusted by using the display parameters, so that the intelligent wearable device can subsequently and directly call each optional application which is adjusted by using the application interface, and the response speed of the execution main body to the intelligent wearable device is improved.
In some optional implementation manners of this embodiment, a triggering relationship between the smart wearable device and the alternative application that the execution subject may provide for the smart wearable device may be established, so as to reduce operation steps of the smart wearable device when calling the application, and improve efficiency of the smart wearable device when repeatedly calling the same application, where at this time, the cloud resource processing method further includes: in response to receiving a callable application query request sent by the intelligent wearable device, sending a list of alternative applications after an application interface is adjusted to the intelligent wearable device; and in response to receiving a shortcut trigger returned by the intelligent wearable device based on the list of the alternative applications, establishing a trigger relationship between the shortcut trigger and the corresponding alternative applications.
Specifically, after receiving an application-invocable query request sent by an intelligent wearable device, sending an alternative application list of alternative applications that the execution main body can provide for the intelligent wearable device to the intelligent wearable device, so that a user of the intelligent wearable device establishes the trigger relationship according to the alternative application list, after receiving the alternative application list, the user of the wearable device can set the alternative application indicated by a shortcut trigger identifier according to actual requirements, and after the setting is completed, the shortcut trigger identifier is returned to the execution main body, after receiving the shortcut trigger identifier returned by the intelligent wearable device based on the alternative application list, the execution main body responds to establish the trigger relationship between the shortcut trigger identifier and the corresponding alternative application, so that when subsequently receiving the shortcut trigger identifier, the corresponding alternative application is triggered directly.
In order to deepen understanding, the disclosure further provides a specific implementation scheme in combination with a specific application scenario, specifically as follows:
first, in response to receiving a resource usage request of a smart wearable device, display parameters of the smart wearable device are obtained, and the smart wearable device may be as shown in fig. 4-1.
Then, responding that the resource use request is an application calling request, calling a target application corresponding to the resource use request, and obtaining a function list of the target application, wherein a function A, B, C, D exists in the function list, and after the function list is obtained, feeding back the function list to the intelligent wearable device.
Next, in response to receiving function selection information returned by the smart wearable device for the function list, selecting a function A, B from the selection information, adjusting a feedback interface of the target application based on a target function selected by the function selection information, removing a function C, D from an original application interface, and adjusting an interface proportion of icons of functions A, B, and then generating a feedback interface, where an application interface of the target application may be as shown in fig. 4-2, and a feedback interface generated based on an adjusted application interface may be as shown in fig. 4-3.
Further, the feedback interface is adjusted according to the display parameter to obtain an adaptive interface, which may be as shown in fig. 4-4.
Finally, returning the adjustment adaptation interface to the smart wearable device, and controlling the smart wearable device to display the adjustment adaptation interface, wherein the final effect can be as shown in fig. 4-1.
With further reference to fig. 5, as an implementation of the method shown in the above-mentioned figures, the present disclosure provides an embodiment of a cloud resource processing apparatus, where the apparatus embodiment corresponds to the method embodiment shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 5, the cloud resource processing apparatus 500 of the present embodiment may include: a display parameter obtaining unit 501, a feedback interface generating unit 502, an adjustment adapting interface generating unit 503 and an adjustment adapting interface sending unit 504. The display parameter acquiring unit 501 is configured to, in response to receiving a resource usage request of a smart wearable device, acquire display parameters of the smart wearable device; a feedback interface generating unit 502 configured to generate a feedback interface based on a processing result after processing the task corresponding to the resource use request; an adjustment adaptive interface generating unit 503 configured to adjust the feedback interface according to the display parameter, so as to obtain an adjustment adaptive interface; an adaptation interface sending unit 504 configured to return the adaptation interface to the smart wearable device and control the smart wearable device to display the adaptation interface.
In this embodiment, in the cloud resource processing apparatus 500: the specific processing and the technical effects of the display parameter obtaining unit 501, the feedback interface generating unit 502, the adjustment adaptation interface generating unit 503 and the adjustment adaptation interface sending unit 504 can refer to the related descriptions of step 201 and step 204 in the corresponding embodiment of fig. 2, and are not described herein again.
In some optional implementation manners of this embodiment, in response to that the resource usage request is an application invocation request, the feedback interface generating unit includes: a target application calling and function list calling subunit including a target application calling module configured to call a target application of a target application requested by the resource use request, and a function list calling module configured to obtain a function list of the target application; the function list sending subunit sends the function list to the intelligent wearable device; an application interface adjusting subunit configured to adjust a feedback interface of the target application based on a target function selected by the function selection information in response to receiving function selection information returned by the smart wearable device for the function list; and the feedback interface generating subunit is configured to generate a feedback interface based on the adjusted application interface.
In some optional implementation manners of this embodiment, the cloud resource processing apparatus further includes: and the alternative application optimization unit is configured to adjust a feedback interface of an alternative application which can be provided for the intelligent wearable device according to the display parameter.
In some optional implementation manners of this embodiment, the cloud resource processing apparatus further includes: the standby application list sending unit is configured to send a standby application list after an application interface is adjusted to the intelligent wearable device in response to receiving the application-adjustable query request sent by the intelligent wearable device; the quick trigger establishing unit is configured to respond to the received quick trigger returned by the intelligent wearable device based on the alternative application list, and establish a trigger relation between the quick trigger and the corresponding alternative application.
In some optional implementation manners of this embodiment, the cloud resource processing apparatus further includes: the first display parameter adjusting unit is configured to acquire a use gesture of the intelligent wearable device and adjust the display parameters according to the use gesture.
In some optional implementation manners of this embodiment, the cloud resource processing apparatus further includes: an indication request transmitting unit configured to transmit a display area indication request to the smart wearable device; the indication information return control subunit is configured to control the intelligent wearable device to prompt a user to perform display area indication operation and return the display area indication information generated according to the display area indication operation performed by the user; and the second display parameter adjusting unit is configured to adjust the display parameters according to the display area indication information.
The cloud resource processing device provided in this embodiment can adapt the processing result according to the display parameter of the smart wearable device after processing the resource use request of the smart wearable device, so that the interaction capability of the smart wearable device is improved, and the optimization cost for optimizing each application in the smart wearable device is reduced.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 601 performs the respective methods and processes described above, such as the cloud resource processing method. For example, in some embodiments, the cloud resource processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the cloud resource processing method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the cloud resource processing method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), 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.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, which is also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in the conventional physical host and Virtual Private Server (VPS) service. The server may also be divided into servers of a distributed system, or servers that incorporate a blockchain.
According to the technical scheme of the embodiment of the disclosure, after the resource use request of the intelligent wearable device is processed, the processing result is adapted according to the display parameter of the intelligent wearable device, the interaction capacity of the intelligent wearable device is improved, and meanwhile, the optimization cost when each application in the intelligent wearable device is optimized is reduced.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in this disclosure may be performed in parallel or sequentially or in a different order, as long as the desired results of the technical solutions provided by this disclosure can be achieved, and are not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (15)
1. A cloud resource processing method includes:
in response to receiving a resource use request of a smart wearable device, obtaining display parameters of the smart wearable device;
processing the task corresponding to the resource use request, and generating a feedback interface based on a processing result;
adjusting the feedback interface according to the display parameters to obtain an adjusted adaptive interface;
and returning the adjustment adaptation interface to the intelligent wearable device, and controlling the intelligent wearable device to display the adjustment adaptation interface.
2. The method of claim 1, wherein in response to the resource usage request being an application invocation request, the processing a task corresponding to the resource usage request and generating a feedback interface based on a processing result comprise:
calling a target application requested by the resource use request, and acquiring a function list of the target application;
sending the function list to the intelligent wearable device;
in response to receiving function selection information returned by the intelligent wearable device for the function list, adjusting a feedback interface of the target application based on a target function selected by the function selection information;
and generating a feedback interface based on the adjusted application interface.
3. The method of claim 2, further comprising:
and adjusting a feedback interface of an alternative application which can be provided for the intelligent wearable device according to the display parameter.
4. The method of claim 3, further comprising:
in response to receiving a callable application query request sent by the intelligent wearable device, sending a list of alternative applications after an application interface is adjusted to the intelligent wearable device;
and in response to receiving a shortcut trigger returned by the intelligent wearable device based on an alternative application list, establishing a trigger relationship between the shortcut trigger and a corresponding alternative application.
5. The method of claim 1, further comprising:
and acquiring the use posture of the intelligent wearable equipment, and adjusting the display parameters according to the use posture.
6. The method of claim 1, further comprising:
sending a display area indication request to the smart wearable device;
controlling the intelligent wearable equipment to prompt a user to perform display area indication operation, and returning display area indication information generated according to the display area indication operation performed by the user;
and adjusting the display parameters according to the display area indication information.
7. A cloud resource processing apparatus, comprising:
a display parameter acquisition unit configured to acquire a display parameter of a smart wearable device in response to receiving a resource usage request of the smart wearable device;
the feedback interface generating unit is configured to generate a feedback interface based on a processing result after processing the task corresponding to the resource use request;
the adjustment adaptive interface generating unit is configured to adjust the feedback interface according to the display parameters to obtain an adjustment adaptive interface;
and the adjustment adaptation interface sending unit is configured to return the adjustment adaptation interface to the intelligent wearable device and control the intelligent wearable device to display the adjustment adaptation interface.
8. The apparatus of claim 7, wherein in response to the resource usage request being an application invocation request, the feedback interface generating unit comprises:
a target application calling and function list calling subunit including a target application calling module configured to call a target application of a target application requested by the resource use request, and a function list calling module configured to obtain a function list of the target application;
the function list sending subunit is used for sending the function list to the intelligent wearable equipment;
an application interface adjusting subunit configured to adjust a feedback interface of the target application based on a target function selected by the function selection information in response to receiving function selection information returned by the smart wearable device for the function list;
and the feedback interface generating subunit is configured to generate a feedback interface based on the adjusted application interface.
9. The apparatus of claim 8, further comprising:
an alternative application optimization unit configured to adjust a feedback interface of an alternative application that may be provided for the smart wearable device according to the display parameter.
10. The apparatus of claim 9, further comprising:
the standby application list sending unit is configured to send a standby application list after an application interface is adjusted to the intelligent wearable device in response to receiving a callable application query request sent by the intelligent wearable device;
the quick trigger establishing unit is configured to respond to the received quick trigger returned by the intelligent wearable device based on the alternative application list, and establish a trigger relation between the quick trigger and the corresponding alternative application.
11. The apparatus of claim 7, further comprising:
the first display parameter adjusting unit is configured to acquire a use gesture of the intelligent wearable device and adjust the display parameters according to the use gesture.
12. The apparatus of claim 7, further comprising:
an indication request transmitting unit configured to transmit a display area indication request to the smart wearable device;
the indication information return control subunit is configured to control the intelligent wearable device to prompt a user to perform display area indication operation and return display area indication information generated according to the display area indication operation performed by the user;
a second display parameter adjusting unit configured to adjust the display parameter according to the display area indication information.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor, wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the cloud resource processing method of any of claims 1-7.
14. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the cloud resource processing method of any of claims 1-6.
15. A computer program product comprising a computer program which, when executed by a processor, implements the cloud resource processing method of any of claims 1-6.
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