WO2017166643A1

WO2017166643A1 - Method and device for quantifying task resources

Info

Publication number: WO2017166643A1
Application number: PCT/CN2016/096967
Authority: WO
Inventors: 刘永华; 王孝庆
Original assignee: 乐视控股（北京）有限公司; 乐视云计算有限公司
Priority date: 2016-03-31
Filing date: 2016-08-26
Publication date: 2017-10-05
Also published as: CN105843687A

Abstract

A method and device for quantifying task resources. The method comprises: assigning, according to a theoretical quantity value of resources occupied by each task and a total resource quantity of a single task processing device, a task to a task process device group consisting of at least one task processing device on the basis of a task chronological order (101); running, by the task processing device group, the assigned task, and recording an evaluation parameter index of task processing (102); adjusting the theoretical quantity value of resources occupied by each task according to a preset amplitude, returning to the step of assigning the task to the task processing device group, and stopping circulation until a preset condition is satisfied (103); and determining, on the basis of an optimum evaluation parameter index, an optimum quantity value of resources occupied by each task, wherein the optimum quantity value is used for actual task distribution (104). The method allows rational utilization of resources and can ensure the performance of a device.

Description

Method and device for quantifying task resources

This application claims the priority of the Chinese Patent Application entitled "Quantification Method and Apparatus for a Task Resource", filed on March 31, 2016 by the Chinese Patent Office, with the application number 2016102016291, the entire contents of which are incorporated by reference. In this application.

Technical field

The present disclosure relates to the field of data processing, for example, to a method and apparatus for quantifying task resources.

Background technique

With the rapid development of network technology, the performance of data processing equipment (hereinafter referred to as the device) has also been greatly improved. As the performance of the device is improved, the device can perform more and more tasks, and the number of executable tasks increases the device resources. The utilization situation has attracted much attention.

A resource allocation scheme of the related art is to allocate a fixed number of tasks to the device, for example, allocating 12 tasks to the device. Such resource allocation may cause the following two problems. In one case, the 12 tasks may occupy a total of If there are few resources on the device, the remaining resources available in the device cannot be utilized, resulting in waste of resources. In another case, the 12 tasks may occupy a lot of resources, and the available resources in the entire device are all 12 When the task is full, it will cause the device to run at high load, which will affect the performance of the device.

Therefore, there is a need for a method for quantifying resources of a task to quantify the resource occupancy of the task, so that the task can be assigned according to the quantization result, so that the resources of the device are properly utilized. Can guarantee the performance of the device.

Summary of the invention

Embodiments of the present disclosure provide a method and apparatus for quantifying task resources, which are used to resolve existing resource points. The problem of wasting resources and affecting the performance of the equipment, so that resources can be rationally utilized and the performance of the equipment can be guaranteed.

Embodiments of the present disclosure provide a method for quantifying task resources, including:

And assigning tasks to the task processing device group formed by the at least one task processing device according to the task flow order according to the theoretical quantity of resources occupied by each task and the total resource amount of the single task processing device;

The task processing device group runs the assigned task, and records the evaluation parameter indicator processed by the task;

The theoretical quantity of resources occupied by each task is adjusted according to the preset amplitude, and the task is assigned to the task processing device group; the loop is stopped until the preset condition is met;

Based on the optimal evaluation parameter indicator, an optimal quantity of resources occupied by each task is determined; the optimal quantity is used for actual task distribution.

An embodiment of the present disclosure provides a device for quantifying task resources, including:

a task allocation unit configured to allocate a task according to a task flow sequence according to a task processing device group composed of the at least one task processing device according to a theoretical quantity of resources occupied by each task and a total resource amount of the single task processing device;

a recording unit configured to record an evaluation parameter indicator processed by the task when the task processing device group runs the assigned task;

The adjusting unit is configured to adjust the theoretical quantity of resources occupied by each task according to the preset amplitude, and return to the task allocation unit; until the preset condition is met, the loop is stopped;

The determining unit is configured to determine an optimal amount of resources occupied by each task based on the optimal evaluation parameter indicator; the optimal amount is used for actual task distribution.

Embodiments of the present disclosure provide a non-transitory computer readable storage medium storing computer executable instructions that, when executed by an electronic device, cause the electronic device to perform the quantization method of the task resource described above.

Embodiments of the present disclosure provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer And causing the computer to perform the above-described quantification method of the task resource.

An embodiment of the present disclosure provides an electronic device including at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions being The at least one processor, when executed, causes the at least one processor to perform the quantization method of the task resource described above.

The method and device for quantifying task resources provided by the embodiments of the present disclosure can continuously adjust the theoretical quantity of resources occupied by tasks, and distribute tasks according to the continuously adjusted theoretical quantity value to the task processing device group, and the task processing device group Run the distributed tasks and record the corresponding evaluation reference indicators to determine the optimal value of the resource value of each task corresponding to the optimal evaluation parameter indicator, so that the resources occupied by the task can be quantified. Therefore, when the tasks are distributed for the task processing device group, the plurality of tasks that are distributed occupy the total amount of resources of the task processing device group, so that the waste of resources can be reduced, and the resources of the task processing device can be reasonably utilized; It can prevent the task from occupying all the resources of the task processing device, causing the device to run at a high load and ensuring the performance of the device.

BRIEF abstract

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a flow chart of the steps of Embodiment 1 of a method for quantifying task resources according to the present disclosure;

2 is a schematic diagram of a broken line corresponding to an evaluation parameter indicator in an application example of an embodiment of the present disclosure;

3 is a flow chart of steps of a second embodiment of a method for quantifying task resources according to the present disclosure;

4 is a schematic structural diagram of Embodiment 1 of a device for quantifying task resources according to the present disclosure;

FIG. 5 is a schematic diagram of a hardware structure of an electronic device for quantifying task resources according to the present disclosure.

Embodiments of the invention

The technical solutions in the embodiments of the present disclosure will be clearly and completely described in conjunction with the drawings in the embodiments of the present disclosure. Some embodiments are disclosed, rather than all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present disclosure without departing from the inventive scope are the scope of the disclosure.

Method embodiment 1

Referring to FIG. 1 , a flow chart of a first embodiment of a method for quantifying a task resource according to the present disclosure may be performed, and may include:

Step 101: According to a theoretical quantity of resources occupied by each task and a total resource quantity of a single task processing device, assign a task to the task processing device group composed of the at least one task processing device according to the task flow sequence;

In the embodiment of the present disclosure, the task type may include: transcoding, uploading, downloading, storing, etc., the quantification method of the task resource may be used to quantify a type of task, and the one type of task may include multiple tasks. That is, the embodiments of the present disclosure may be applied to tasks such as transcoding, uploading, downloading, and storing of video and/or audio. The embodiments of the present disclosure are mainly described by using transcoding as an example, and other task types may be cross-referenced. .

In the embodiment of the present disclosure, the foregoing resource type may include one or more of a memory, a CPU (Central Processing Unit), an I/O port (Input/Output), and a bandwidth. The present disclosure The embodiment mainly uses memory as an example, and other resource types can be referred to each other.

In the embodiment of the present disclosure, the theoretical quantity of resources occupied by each task can be occupied by each task. The parameters such as the code rate and the number of CPU cores are calculated. For example, the process of calculating the theoretical value of the occupied memory by the code rate may include: Scencecut*Width*Height*3, where the above Width*Height refers to the resolution, and each pixel occupies the word. Section 3B, for example: mp4_350 code rate resolution is: 640 * 350, then its theoretical value of memory usage: 60 * 640 * 350 * 3 = 403200000 = 38.45M.

It can be understood that the theoretical quantity value of each task occupying resources calculated by using the parameters such as the code rate and the number of CPU cores occupied by each task is only an example of a method for determining the theoretical quantity of the resource occupied by the task in the embodiment of the present disclosure. It is not understood as a limitation on the method for determining the theoretical quantity of the resource occupied by the task in the embodiment of the present disclosure. In fact, the embodiment of the present disclosure may also determine the optimal among the multiple running result data in the actual collection. The resource size occupied by each task corresponding to the running result data is the theoretical quantity of the resource occupied by the task; the method of determining the theoretical quantity of the resource occupied by the task is not limited herein.

In the embodiment of the present disclosure, according to the theoretical quantity of resources occupied by each task and the total resource amount of the single task processing device, the task processing device group composed of the at least one task processing device may be assigned according to the task flow sequence. The task is assigned to a single task processing device in the task processing device group according to the task flow sequence. When the total resource amount of all tasks assigned to the current task processing device is greater than or equal to the total resource amount of the current task processing device, When the percentage is preset, stop assigning tasks to the current task processing device and start assigning tasks to the next task processing device.

In an application example of the embodiment of the present disclosure, it is assumed that there are currently five types of transcoding tasks, namely T1, T2, T3, T4, and T5, and the occupied resources are memory, and the theoretical quantities of the above five transcoding tasks occupy memory. The values are A1 G, A2 G, A3 G, A4 G, and A5 G. The current task processing device group consists of three task processing devices. The total memory of each task processing device is X G, according to each transcoding. The theoretical quantity of the resource occupied by the task and the total resource quantity of the single task processing device are the task processing device group composed of the at least one task processing device, and the process of assigning the task according to the task flow sequence is:

Assuming that the task flow order is: T1, T3, T2, T4, T5, T2, T1, T4, T3, T5, the task processing device 1 allocates A1 G memory for T1 and A3 G memory for T3. T2 allocates the memory of A2G, and assumes that the ratio of the sum of the current A1, A3, and A2 to X is greater than or equal to the preset percentage W, then stops assigning tasks to the task processing device 1; continues to allocate A4G to the T4 in the task processing device 2. Memory, allocate A5 G memory for T5, allocate A2 G memory for T2, allocate A1 G memory for T1, assuming that the ratio of the current A4, A5, A2, A1 and X to the preset percentage W is stopped. The task processing device 2 is assigned a task; in the task processing device 3, A4 G memory is allocated for T4, A3 G memory is allocated for T3, and A5 G memory is allocated for T5.

Step 102: The task processing device group runs the assigned task, and records the evaluation parameter indicator of the task processing.

In the embodiment of the present disclosure, the evaluation parameter indicator of the task processing may be used to evaluate the performance of the current task processing device group during operation, that is, when the evaluation parameter index is large, the performance of the current task processing device group is better.

In the embodiment of the present disclosure, when the task type is transcoding, the evaluation parameter indicator of the task processing may include: a throughput of the task processing device group, and/or a processing speed of the task processing device group, In the disclosed embodiment, the evaluation parameter index is taken as an example for example, and the parameter parameter is the cross-reference of the processing speed; the task type is the evaluation parameter index of the task processing when uploading, downloading, and storing. The method may include: an evaluation parameter indicator corresponding to the upload task type: an upload speed (file size/upload time); an evaluation parameter indicator corresponding to the download task type: download speed (file size/download time); upload (finished product storage) task type Corresponding evaluation parameter indicator: upload speed (finished product size / upload time).

Step 103: Adjust the theoretical quantity of resources occupied by each task according to the preset amplitude, and return to assign tasks to the task processing device group; stop the loop until the preset condition is met;

In the embodiment of the present disclosure, adjusting the theoretical quantity of resources occupied by each task according to the preset amplitude may include: increasing or decreasing the theoretical quantity of resources occupied by each task by a preset amplitude; occupying resources for each task After the theoretical quantity is adjusted, the process returns to step 101, that is, according to the adjusted theoretical quantity value, the task processing device group assigns tasks according to the task flow order.

For example, there are currently tasks T and T2, and the theoretical quantities of occupied resources are A1 and A2 respectively. If the preset amplitude is t, the theoretical quantities of resources occupied by tasks T and T2 are adjusted according to the preset amplitude. To: adjust the theoretical value of T occupied resources as A1 + t, adjust the theoretical value of T2 occupied resources as A2+t (or adjust the theoretical value of T occupied resources to A1-t, adjust the theoretical value of T2 occupied resources) A2-t); the theoretical quantity of resources occupied by tasks T and T2 (A1+t, A2+t or A1-t, A2-t) and the total resource amount of a single task processing device, for the at least one task Processing a task processing device group composed of devices, and assigning tasks according to task flow order;

After the task processing device group runs the assigned task, after recording the evaluation parameter indicators processed by the task, the theoretical value of the resource occupied by the task T and T2 is continuously adjusted according to the preset amplitude, which may be: adjusting the theoretical value of the occupied resource of T A1+2×t, the theoretical value of adjusting the resource occupied by T2 is A2+2×t (or the theoretical value of adjusting the resource occupied by T is A1-2×t, and the theoretical value of adjusting the resource occupied by T2 is A2-2× t), according to the theoretical quantity of resources occupied by tasks T and T2 (A1+2×t, A2+2×t or A1-2×t, A2-2×t) and the total resources of a single task processing device, The task processing device group composed of the at least one task processing device allocates tasks according to the task flow order; stops the loop until the preset condition is met, that is, stops adjusting the theoretical quantity of the resource occupied by the task when the preset condition is met.

In an optional embodiment of the disclosure, the foregoing preset conditions may include:

The task processing device group running time meets a preset running time; or

The number of times the task processing device group runs meets the preset running times; or

The number of adjustments to the theoretical magnitude of the resources occupied by each task satisfies the preset number of adjustments.

In the embodiment of the present disclosure, if the preset running time is three months, when the task processing device group running time meets three months, the theoretical quantity of the resource occupied by the task may be stopped; or, the preset running times are assumed. For 100 times, when the number of tasks assigned to the task processing device group reaches 100 times, the theoretical value of the resource occupied by the task can be stopped; or, if the preset adjustment number is 30 times, then When the number of adjustments of the theoretical amount of resources occupied by the task reaches 30 times, the theoretical value of the resource occupied by the task can be stopped.

It can be understood that the preset running time is three months, the preset running times are 100 times, and the preset adjustment times are 30 times, which are only used as the preset running time, the preset running times, and the preset adjustment times in the embodiment of the present disclosure. An example is not to be construed as limiting the preset running time, the preset running times, and the preset adjustment times in the embodiment of the present disclosure. In fact, the preset running time, the preset running times, and the preset adjustment times may be The technical personnel in the field determine the self-determination according to the business requirements. The preset operating time, the preset running times, and the preset adjustment times are not limited herein.

Step 104: Determine an optimal quantity of resources occupied by each task based on an optimal evaluation parameter indicator; the optimal quantity is used for actual task distribution.

In the embodiment of the present disclosure, each time the task processing device group runs, the evaluation parameter indicator of the task processing is recorded until the theoretical quantity of the task occupation resource is stopped, and the evaluation parameter indicator of the task processing recorded at this time includes multiple Data, from the plurality of data, selecting an optimal evaluation parameter indicator, and determining a theoretical quantity of resources occupied by each task corresponding to the evaluation parameter indicator as an optimal quantity of resources occupied by each task;

In order to make those skilled in the art better understand the embodiments of the present disclosure, the embodiments of the present disclosure are explained by way of example:

Assuming that the resource is memory, the task is a transcoding task for the video. Currently, tasks T1, T2, and T3 exist, and the theoretical values of the corresponding task memory are 1G, 2G, and 2G, respectively, according to tasks T1, T2, and T3. The theoretical amount of memory usage 1G, 2G, and 2G and the total memory of a single task processing device are task processing device groups, tasks are assigned according to task flow order, task processing device group runs assigned tasks, and task evaluation parameters are recorded. A1 (in this example, the parameter is evaluated as throughput) is 1000 hours;

The theoretical values of the occupied memory of tasks T1, T2 and T3 are adjusted. Assuming the preset amplitude is 0.2G, the theoretical values of the occupied memory of the adjusted tasks T1, T2 and T3 are 1.2G, 2.2G and respectively. 2.2G, according to the theoretical values of the memory occupied by tasks T1, T2 and T3, 1.2G, 2.2G and 2.2G and the total memory of a single task processing device, for the task processing device group, assign tasks according to the task flow sequence, task processing device group Run the assigned task, record the throughput of the task processing a2 is 1300 hours;

The theoretical values of the occupied memory of tasks T1, T2 and T3 are adjusted, and the theoretical values of the occupied memories of the adjusted tasks T1, T2 and T3 are respectively 1.4G, 2.4G and 2.4G, according to tasks T1 and T2. And T3 occupy the theoretical value of memory 1.4G, 2.4G and 2.4G and the total memory of a single task processing device, for the task processing device group, assign tasks according to the task flow sequence, task processing device group runs the assigned tasks, record tasks The throughput a3 of processing is 1800 hours;

The theoretical values of the occupied memory of tasks T1, T2 and T3 are adjusted, and the theoretical quantities of the occupied memories of the adjusted tasks T1, T2 and T3 are 1.6G, 2.6G and 2.6G, respectively, according to tasks T1 and T2. And T3 occupy the theoretical value of memory 1.6G, 2.6G and 2.6G and the total memory of a single task processing device, for the task processing device group, assign tasks according to the task flow sequence, task processing device group runs the assigned tasks, record tasks The processing throughput a4 is 1400 hours. If the preset adjustment times are 3 times, the number of adjustments to the theoretical amount of memory occupied by each task satisfies the preset adjustment number, and the theoretical value of the task occupied memory is stopped. ;

Referring to FIG. 2, a schematic diagram of a broken line corresponding to an evaluation parameter indicator in an application example of an embodiment of the present disclosure is shown; it can be seen that among the evaluation parameter indicators a1 to a4 of the recorded task processing, the optimal evaluation parameter indicator is a3, a3 corresponding to The theoretical values of the occupied memory of T1, T2 and T3 are 1.4G, 2.4G and 2.4G, respectively. It is determined that the optimal values of the occupied memory of T1, T2 and T3 are 1.4G, 2.4G and 2.4G respectively, and after determining the optimal magnitude of the resources occupied by T1, T2 and T3, the task can be processed according to the above optimal amount. The group performs the distribution of tasks.

It can be understood that the resource in the above example is only one example of the task type in the embodiment of the present disclosure. In fact, the task type may further include one or more of a CPU, an I/O, and a bandwidth. The example does not limit the type of resource.

The embodiment of the present disclosure is described based on the case where the resource occupied by each task is a fixed value. In fact, the embodiment of the present disclosure is also applicable to the case where the resource occupied by each task is a non-fixed value, and the process can be referred to each other. The embodiments of the present disclosure will not be described again.

In summary, a method for quantifying task resources according to an embodiment of the present disclosure may adjust a theoretical quantity of resources occupied by each task, and distribute tasks according to the continuously adjusted theoretical quantity value, and the task processing is performed by the task processing device group. The device group runs the tasks distributed, and records the corresponding evaluation reference indicators, and determines the theoretical value of each resource occupied by the optimal evaluation parameter indicator as the optimal value, so that each task occupies The resources are known. Therefore, when the tasks are distributed for the task processing device group, the distributed tasks occupy the total amount of resources of the task processing device, so that the waste of resources can be reduced, and the resources of the task processing device can be reasonably utilized. At the same time, the embodiment of the present disclosure can avoid the problem that the task fills up all the resources of the task processing device, causing the device to operate at a high load, and thus can ensure the performance of the device.

Method embodiment two

Referring to FIG. 3, a flow chart of the steps of the second embodiment of the method for quantifying the task resource of the present disclosure may be included, which may include:

Step 301: According to a theoretical quantity of resources occupied by each task and a total resource quantity of a single task processing device, a task processing device group composed of the at least one task processing device, according to a task flow sequence Assignments;

Step 302: The task processing device group runs the assigned task, records the evaluation parameter indicator of the task processing, and the processing speed of each task;

Step 303: Determine that the processing speed is less than the processing speed empirical value of the task is a task to be adjusted;

In the embodiment of the present disclosure, the actual running result data may be collected, and the running result data may include the processing speed of each task, and the optimal processing speed of each task is determined as the processing speed empirical value of each task. .

In the embodiment of the present disclosure, when the processing speed of the recorded task is less than the processing speed empirical value of the task, indicating that the resource allocated for the current task is unreasonable, the theoretical quantity of the resource occupied by the task should be adjusted; When the processing speed of the recorded task is greater than or equal to the processing speed empirical value of the task, it indicates that the resource allocated for the current task is reasonable, and the theoretical quantity of the resource occupied may not be adjusted.

Step 304: Adjust a theoretical quantity value of each of the resources to be adjusted for the task to be adjusted according to a preset amplitude, and return a task for the task processing device group; stop the loop until the preset condition is met;

In an application example of the present disclosure, it is assumed that there are currently tasks T1, T2, and T3, and the processing speed empirical values are 30, 35, and 40, respectively, and the theoretical quantity of resources occupied according to tasks T1, T2, and T3 is a task processing device group. The tasks are assigned according to the task flow sequence; the task processing device group runs the assigned tasks, and the recorded tasks are processed at speeds of 35, 20, and 15, respectively. It can be seen that the processing speeds of the tasks T2 and T3 are less than the processing speed empirical values, so When the theoretical quantity of the resource occupied by the task is adjusted, only the tasks T2 and T3 can be adjusted.

Step 305: Determine an optimal quantity of resources occupied by each task based on the optimal evaluation parameter indicator; the optimal quantity is used for actual task distribution.

With respect to the first embodiment of the method, in the embodiment of the present disclosure, when the task assigned to the task processing device group is run, and the evaluation parameter indicator of the task processing is recorded, the processing speed of each task is also recorded, and step 303 and step 304 are performed. The adjustment of the theoretical quantity of resources occupied by each task according to the preset amplitude is refined, so that when the theoretical value of the resource occupied by the task is adjusted, only the task that needs to be adjusted by the theoretical value can be adjusted. It is not necessary to adjust the theoretical magnitude of the resources occupied by all tasks.

For the method embodiments, for the sake of brevity, they are all described as a series of action combinations, but those skilled in the art should understand that the embodiments of the present application are not limited by the described action sequence, because the embodiment according to the present application Some steps can be performed in other orders or at the same time. In the following, those skilled in the art should also understand that the descriptions in the specification are all examples, and the actions involved are not necessarily required by the present application.

Device embodiment 1

FIG. 4 is a schematic structural diagram of Embodiment 1 of a device for quantifying a task resource according to the present disclosure, which may include: a task allocating unit 401, a recording unit 402, an adjusting unit 403, and a determining unit 404;

The task allocation unit 401 may be configured to allocate, according to the theoretical quantity of resources occupied by each task and the total resource amount of the single task processing device, the task processing device group composed of the at least one task processing device according to the task flow order. task;

The recording unit 402 may be configured to record an evaluation parameter indicator of the task processing when the task processing device group runs the assigned task;

The adjusting unit 403 may be configured to adjust the theoretical quantity of resources occupied by each task according to the preset amplitude, and return to the task allocation unit; and stop the loop until the preset condition is met;

The determining unit 404 may be configured to determine an optimal magnitude of resources occupied by each task based on the optimal evaluation parameter indicator; the optimal amount is used for actual task distribution.

In an optional embodiment of the present disclosure, the task type may include: transcoding, uploading, downloading, and storing, and the quantifying method of the task resource is used to quantize a type of task, in the one type of task. Contains a variety of tasks.

In an optional embodiment of the disclosure, the preset condition may include:

The task processing device group running time meets a preset running time; or

In an optional embodiment of the present disclosure, the task type is transcoding, and the evaluation parameter indicator of the task processing may include: a throughput of the task processing device group, and/or the task processing device The processing speed of the group.

In an optional embodiment of the disclosure, the resource may include one or more of a memory, a CPU, an IO, and a bandwidth.

In an optional embodiment of the present disclosure, the recording unit 402 may be further configured to record the processing speed of each task;

The adjusting unit 403 may include:

Determining the task subunit to be adjusted, and the task that is configured to determine that the processing speed is less than the processing speed empirical value of the task is a task to be adjusted;

The theoretical quantity subunit is adjusted to be configured to adjust the theoretical quantity of resources occupied by each of the to-be-adjusted tasks according to a preset amplitude.

For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The embodiment of the present application provides a non-volatile computer storage medium, where the computer storage medium stores computer executable instructions for performing any of the embodiments of the present application. A quantitative method of task resources.

FIG. 5 is a schematic diagram of a hardware structure of an electronic device for quantifying a task resource according to the present disclosure. As shown in FIG. 5, the electronic device includes:

One or more processors 510 and memory 520, one processor 510 is taken as an example in FIG.

The apparatus for performing the quantization method of the task resource may further include: an input device 530 and an output device 540.

The processor 510, the memory 520, the input device 530, and the output device 540 may be connected by a bus or other means, as exemplified by a bus connection in FIG.

The memory 520 is a non-volatile computer readable storage medium, and is applicable to a non-volatile software program, a non-volatile computer-executable program, and a module, such as a method for quantifying task resources in the embodiment of the present application. Program instructions/modules (for example, task assignment unit 401, recording unit 402, adjustment unit 403, and determination unit 404 shown in FIG. 4). The processor 510 executes various functional applications and data processing of the server by running non-volatile software programs, instructions, and modules stored in the memory 520, that is, a method for quantifying the task resources of the foregoing method embodiments.

The memory 520 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created by use of a quantization device of the task resource, and the like. Further, the memory 520 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or other nonvolatile solid state storage device. In some embodiments, memory 520 can optionally include memory remotely located relative to processor 510, which can be connected to a quantification device of task resources over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Input device 530 can receive input numeric or character information and generate key signal inputs related to user settings and function control of the quantization device of the task resource. Output device 540 can include a display Such as display devices.

The one or more modules are stored in the memory 520, and when executed by the one or more processors 510, perform a quantization method of task resources in any of the above method embodiments.

The above products can perform the methods provided by the embodiments of the present application, and have the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.

The electronic device of the embodiment of the present application exists in various forms, including but not limited to:

(1) Mobile communication devices: These devices are characterized by mobile communication functions and are mainly aimed at providing voice and data communication. Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

(2) Ultra-mobile personal computer equipment: This type of equipment belongs to the category of personal computers, has computing and processing functions, and generally has mobile Internet access. Such terminals include: PDAs, MIDs, and UMPC devices, such as the iPad.

(3) Portable entertainment devices: These devices can display and play multimedia content. Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, and smart toys and portable car navigation devices.

(4) Server: A device that provides computing services. The server consists of a processor, a hard disk, a memory, a system bus, etc. The server is similar to a general-purpose computer architecture, but because of the need to provide highly reliable services, processing power and stability High reliability in terms of reliability, security, scalability, and manageability.

(5) Other electronic devices with data interaction functions.

The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may be or It may not be a physical unit, that is, it may be located in one place, or it may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of the embodiment. Those of ordinary skill in the art can understand and implement without deliberate labor.

Through the description of the above embodiments, those skilled in the art can clearly understand that the various embodiments can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on such understanding, the above technical solutions may be embodied in the form of software products in essence or in the form of software products, which may be stored in a computer readable storage medium such as a ROM/RAM or a disk. , an optical disk, etc., includes instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform the methods described in various embodiments or portions of the embodiments.

The above embodiments are only used to illustrate the technical solutions of the present disclosure, and are not intended to be limiting; although the present disclosure has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that The technical solutions are described as being modified, or equivalent to some of the technical features are replaced; and such modifications or substitutions do not depart from the scope of the technical solutions of the embodiments of the present disclosure.

Industrial applicability

The present invention solves the problem of waste of resources in the existing resource allocation and the problem that affects the performance of the device, can reasonably utilize resources, and can ensure the performance of the device.

Claims

A method for quantifying task resources, applied to an electronic device, the method comprising:

And assigning tasks to the task processing device group formed by the at least one task processing device according to the task flow order according to the theoretical quantity of resources occupied by each task and the total resource amount of the single task processing device;

The task processing device group runs the assigned task, and records the evaluation parameter indicator processed by the task;

Adjusting the theoretical amount of resources occupied by each task according to the preset amplitude, returning to assign tasks to the task processing device group; stopping the loop until the preset condition is met;

Based on the optimal evaluation parameter indicator, an optimal quantity of resources occupied by each task is determined; the optimal quantity is used for actual task distribution.
The method according to claim 1, wherein the task type comprises transcoding, uploading, downloading, and storing, and the quantifying method of the task resource is used for quantifying a type of task, wherein the one type of task includes multiple task.
The method of claim 1 wherein said predetermined condition comprises:

The task processing device group running time meets a preset running time; or

The number of times the task processing device group runs meets the preset running times; or

The number of adjustments to the theoretical magnitude of the resources occupied by each task satisfies the preset number of adjustments.
The method according to claim 1, wherein the task type is transcoding, and the evaluation parameter indicator of the task processing comprises: throughput of the task processing device group, and/or the task processing device group Processing speed.
The method of claim 1, wherein the resources comprise one or more of a memory, a CPU, an IO, and a bandwidth.
The method according to claim 1, wherein the task processing device group runs the assigned task, records the evaluation parameter indicator of the task processing, and further includes:

Record the processing speed of each task;

The step of adjusting the theoretical quantity of resources occupied by each task according to the preset amplitude includes:

Determining that the processing speed is less than the processing speed empirical value of the task is the task to be adjusted;

The theoretical quantity of resources occupied by each of the to-be-adjusted tasks is adjusted according to a preset amplitude.
A quantification device for task resources, the device comprising:

a task allocation unit configured to allocate a task according to a task flow sequence according to a task processing device group composed of the at least one task processing device according to a theoretical quantity of resources occupied by each task and a total resource amount of the single task processing device;

a recording unit configured to record an evaluation parameter indicator processed by the task when the task processing device group runs the assigned task;

The adjusting unit is configured to adjust the theoretical quantity of resources occupied by each task according to the preset amplitude, and return to the task allocation unit; until the preset condition is met, the loop is stopped;

The determining unit is configured to determine an optimal amount of resources occupied by each task based on the optimal evaluation parameter indicator; the optimal amount is used for actual task distribution.
The apparatus according to claim 7, wherein the task type comprises transcoding, uploading, downloading, and storing, and the quantifying method of the task resource is used for quantifying a type of task, wherein the one type of task includes multiple task.
The apparatus of claim 7, wherein the predetermined condition comprises:

The task processing device group running time meets a preset running time; or

The number of times the task processing device group runs meets the preset running times; or

The number of adjustments to the theoretical magnitude of the resources occupied by each task satisfies the preset number of adjustments.
The apparatus according to claim 7, wherein the task type is transcoding, and the evaluation parameter indicator of the task processing comprises: a throughput of the task processing device group, and/or a task processing device group Processing speed.
The apparatus of claim 7, wherein the resources comprise one or more of a memory, a CPU, an IO, and a bandwidth.
The apparatus according to claim 7, wherein said recording unit is further configured to record a processing speed of each task;

Then the adjusting unit comprises:

Determining a task subunit to be adjusted, and the task configured to determine that the processing speed is less than the processing speed empirical value of the task is a task to be adjusted;

The theoretical quantity subunit is adjusted to be configured to adjust the theoretical quantity of resources occupied by each of the to-be-adjusted tasks according to a preset amplitude.
A non-transitory computer readable storage medium storing computer executable instructions that, when executed by an electronic device, cause the electronic device to perform the method of any of claims 1-6.
A computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, causing the computer The method of any of claims 1-6.
An electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, the memory for storing instructions executable by the at least one processor, the instructions being processed by the at least one When executed, the at least one processor is caused to perform the method of any of claims 1-6.