CN113688053A - Queuing use method and system for cloud testing tool - Google Patents
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Abstract
The invention relates to a queuing use method and a queuing use system of a cloud test tool, and belongs to the field of cloud test. Task information is obtained, wherein the task information comprises test task priority, basic information of a task and task submission time; according to the obtained task priorities, performing ascending sequencing on the tasks, and performing secondary descending sequencing on the tasks with the same priorities according to the task waiting time; the system continuously updates the waiting time of each task according to a certain frequency, and updates the task queue and the waiting time when a new task arrives or the task execution is finished; and comparing the priority level and the waiting time of the task arranged at the first position of the task queue with the priority level and the waiting time of the task which is being executed by the cloud testing tool, and adopting different tool using methods according to different priority level and waiting time. The invention reduces the time cost of waiting for using the test tool by an important user, reduces the average waiting time of the test task, increases the task fairness and improves the efficiency of cloud test and mass test.
Description
Technical Field
The invention belongs to the field of cloud testing, and particularly relates to a queuing use method and system of a cloud testing tool.
Background
By taking modern information science and technology as a support, the cloud test and the mass test utilize a new business model, a new service mode and a new management method to test a demand party and test resources in a coordinated manner, so that the traditional software testing industry is energized. However, as a new service state, the supporting method, technology and service mode of cloud testing and public testing are not mature, and especially the mechanism for multi-user cooperative use of the testing tool is not perfect. The existing cloud testing tool using scheme is that tasks are often sorted according to priority, and the same queuing scheduling scheme or time-sharing using scheme is adopted for the tasks with different priorities, so that the execution cycle of the task with high priority is too long, and the waiting response time of the testing task with the same priority is also greatly different. With the increasing demand of testing, the problem of improving the service experience of multiple users while improving the use efficiency of the testing tool is urgently needed to be solved.
Disclosure of Invention
Technical problem to be solved
The technical problem to be solved by the invention is how to provide a queuing method and a queuing system for a cloud testing tool, so as to solve the problems that the existing cloud testing tool causes the task with high priority to have too long execution period and the waiting response time of the testing tasks with the same priority has great difference.
(II) technical scheme
In order to solve the technical problem, the invention provides a queuing use method of a cloud test tool, which comprises the following steps:
s1, acquiring task information including the priority of the test task, the basic information of the task and the task submission time;
s2, sorting the tasks in an ascending order according to the obtained task priorities, and sorting the tasks with the same priorities in a secondary descending order according to the task waiting time; the system continuously updates the waiting time of each task according to a certain frequency, and updates the task queue and the waiting time when a new task arrives or the task execution is finished;
s3, acquiring the priority p of the task arranged at the first position of the task queue1And task latency t1;
S4, acquiring priority p of task being executed by cloud testing tool in platform0And system average latency t0;
S5, comparing the priority level and the waiting time of the task arranged at the first position of the task queue with the task being executed by the cloud testing tool, and adopting different tool using methods according to different priority level and waiting time;
s6, the system updates the waiting time of each task according to a certain frequency and every time when a new task arrives and the task ends, and repeats the steps S3-S5 after each update.
Further, in step S1, a minimum task execution time slice is estimated in which each task satisfies the execution condition according to the acquired task basic information.
Furthermore, the preset test task priority p is divided into 1-3 levels, the total level is 3, a user selects the test task according to needs when submitting the task, the smaller the numerical value is, the higher the priority is, and the system adopts different tool using methods according to different priorities.
Further, for the test tasks with the priority p =1, a method of independently using the cloud test tools according to the sequence of the task submission time is adopted;
for the test tasks with the priority p =2, a time-sharing use mode with the same waiting time is adopted, and each task is allocated with a time slice which is not less than the minimum task execution time;
for the test tasks with the priority p =3, a method of independently using the cloud test tools according to the sequence of the task submission time is adopted.
Further, the step S5 specifically includes:
when p is1>p0The method comprises the following steps:
if p is1=1, stop all executing tasks, re-queue according to priority and latency, update respective latency, run onlyThe test task with high priority is executed after the task with high priority is executed;
if p is1=2, stopping all executing tasks, re-queuing them in queue according to priority and waiting time, updating their respective waiting time, running only the test task with high priority, updating the average waiting time t of system0After the task with high priority is executed, the task with low priority is executed;
when p is1<p0If so, the task queue is kept unchanged, the cloud testing tool still executes the current task, and after the current task is completed, the testing task with low priority in the queue is executed;
when p is1=p0The method comprises the following steps:
if p is1=p0=1 or p1=p0If the priority is not less than 3, the task queue is kept unchanged, and test tasks with the same priority in the queue are executed after the current task is completed;
if p is1=p0=2, continue to compare the waiting time t of the task queued at the first position in the task queue1And system average latency t0。
The method of claim 5, wherein the system average latency t is updated0The following formula is adopted:
further, the waiting time t of the task arranged at the first position of the task queue is continuously compared1And system average latency t0The method specifically comprises the following steps:
if t is1≥t0If the task is the first task in the task queue, the cloud testing tool is used in a time-sharing mode with all the tasks currently executed by the cloud testing tool, all the testing tasks are distributed with equal time slices which are not less than the minimum task execution time of all the tasks, and then the average waiting time of the system is updated according to the formula (1);
if t is1<t0And if so, continuing to wait in the task queue for the task arranged at the first position of the task queue, waiting for the next judgment period, updating the priority and the waiting time of the tasks in the queue, and judging the priority and the waiting time of the tasks again.
The invention also provides a cloud test tool queuing and using system for realizing the cloud test tool queuing and using method, the system comprises a test task management module, a test queue management module and a test tool using module,
the test task management module is used for acquiring test task information, including test task priority, basic information of tasks and task submission time;
the test queue management module is used for sequencing according to the priority of the test tasks and the waiting time of the tasks and updating the waiting time of the tasks in the queue according to a certain frequency; when a new task arrives and the task execution is finished, dynamically updating the task queue;
and the test tool using module is used for monitoring the use condition of the test tool, judging the priority level and the waiting time of the currently executed task and the tasks in the queue, and adopting different tool using methods according to different priority level and waiting time.
Further, the test task management module estimates a minimum task execution time slice that each task meets the execution condition according to the task basic information.
Furthermore, the preset test task priority p is divided into 1-3 levels, the total number of the levels is 3, a user selects the test task according to needs when submitting the task, the smaller the numerical value is, the higher the priority is, and the system adopts different tool using methods according to different priorities;
for the test tasks with the priority p =1, a method of independently using the cloud test tools according to the sequence of task submission time is adopted;
for the test tasks with the priority p =2, a time-sharing use mode with the same waiting time is adopted, and each task is allocated with a time slice which is not less than the minimum task execution time;
for the test tasks with the priority p =3, a method of independently using the cloud test tools according to the sequence of the task submission time is adopted.
(III) advantageous effects
The invention provides a queuing use method and a queuing use system for a cloud test tool, which are used for improving the use efficiency of the cloud test tool and improving the service experience of a user. The test tasks are firstly sorted according to the priority, the tasks with the same priority are secondly sorted according to the waiting time, different tool scheduling and using schemes are adopted for the test tasks with different priorities, and the method with the same waiting time is adopted for the test tasks with the common priority, so that the time cost of waiting for using the test tools by important users is reduced, the average waiting time of the test tasks is reduced, the task fairness is increased, and the cloud test and mass test efficiency is improved.
Drawings
FIG. 1 is a flow chart of a method for using a cloud testing tool queue according to the present invention;
FIG. 2 is a cloud test tool queuing system of the present invention.
Detailed Description
In order to make the objects, contents and advantages of the present invention clearer, the following detailed description of the embodiments of the present invention will be made in conjunction with the accompanying drawings and examples.
As shown in fig. 1, the queuing using method of the cloud testing tool provided by the present invention specifically includes the following steps:
and S1, acquiring task information including the priority of the test task, the basic information of the task and the task submission time. And estimating the minimum task execution time slice of each task meeting the execution condition according to the acquired task basic information.
The priority p of the testing task preset by the system is divided into 1-3 levels, the total level is 3, a user selects according to needs when submitting the task, the smaller the numerical value is, the higher the priority is, and the system adopts different tool using methods according to different priorities.
For the test tasks with the priority p =1, a method of independently using the cloud test tool according to the sequence of the task submission time is adopted to ensure the timeliness of the task with the highest priority.
For the test tasks with the priority p =2, a time-sharing use mode with the same waiting time is adopted, and each task is allocated with a time slice which is not less than the minimum task execution time so as to ensure the fairness of the common test tasks.
For the test tasks with the priority p =3, a method of independently using the cloud test tool according to the sequence of the task submission time is adopted, so that the time cost caused by frequent switching of the test tasks is reduced.
S2, sorting the tasks in an ascending order according to the obtained task priorities, and sorting the tasks with the same priorities in a secondary descending order according to the task waiting time; the system continuously updates the waiting time of each task according to a certain frequency, and updates the task queue and the waiting time every time a new task arrives or the task execution is finished.
S3, acquiring the priority p of the task arranged at the first position of the task queue1And task latency t1。
S4, acquiring priority p of task being executed by cloud testing tool in platform0And system average latency t0。
S5, comparing the priority level and the waiting time of the task arranged at the first position of the task queue and the task being executed by the cloud testing tool, and adopting different tool using methods according to different priority level and waiting time.
a. When p is1>p0The method comprises the following steps:
if p is1And =1, stopping all executing tasks, re-queuing the tasks in the queue according to the priority and the waiting time, updating the respective waiting time, running only the test tasks with high priority, and executing the tasks with low priority after the tasks with high priority are executed.
If p is1=2, stopping all executing tasks, re-queuing them in queue according to priority and waiting time, updating their respective waiting time, running only the test task with high priority, updating the average waiting time t of system0As follows
And after the task with the high priority is executed, executing the task with the low priority.
b. When p is1<p0And when the task queue is not changed, the cloud testing tool still executes the current task, and executes the testing task with low priority in the queue after the current task is finished.
c. When p is1=p0The method comprises the following steps:
if p is1=p0=1 or p1=p0And if the priority is not less than 3, the task queue is kept unchanged, and the test tasks with the same priority in the queue are executed after the current task is completed.
If p is1=p0=2, continue to compare the waiting time t of the task queued at the first position in the task queue1And system average latency t0:
If t1≥t0If the task is the first task in the task queue, the cloud testing tool is used in a time-sharing mode with all the tasks currently executed by the cloud testing tool, the testing tasks are distributed with equal time slices which are not less than the minimum task execution time of the tasks, and then the average waiting time of the system is updated according to the formula (1).
If t1<t0And if so, continuing to wait in the task queue for the task arranged at the first position of the task queue, waiting for the next judgment period, updating the priority and the waiting time of the tasks in the queue, and judging the priority and the waiting time of the tasks again.
S6, the system updates the waiting time of each task according to a certain frequency and every time when a new task arrives and the task ends, and repeats the steps after each update (S3-S5).
As shown in fig. 2, the cloud testing tool queuing system provided by the present invention includes:
(1) the test task management module is used for acquiring test task information, including test task priority, basic information of tasks and task submission time; and estimating the minimum task execution time slice of each task meeting the execution condition according to the task basic information.
(2) The test queue management module is used for sequencing according to the priority of the test tasks and the waiting time of the tasks and updating the waiting time of the tasks in the queue according to a certain frequency; and when a new task arrives and the task execution is finished, dynamically updating the task queue.
(3) And the test tool using module is used for monitoring the use condition of the test tool, judging the priority level and the waiting time of the currently executed task and the tasks in the queue, and adopting different tool using methods according to different priority level and waiting time.
The preset test task priority p is divided into 1-3 grades, 3 grades are provided, a user selects according to needs when submitting a task, the smaller the numerical value is, the higher the priority is, and the system adopts different tool using methods according to different priorities;
for the test tasks with the priority p =1, a method of independently using the cloud test tools according to the sequence of task submission time is adopted;
for the test tasks with the priority p =2, a time-sharing use mode with the same waiting time is adopted, and each task is allocated with a time slice which is not less than the minimum task execution time;
for the test tasks with the priority p =3, a method of independently using the cloud test tools according to the sequence of the task submission time is adopted.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A queuing use method of a cloud test tool is characterized by comprising the following steps:
s1, acquiring task information including the priority of the test task, the basic information of the task and the task submission time;
s2, sorting the tasks in an ascending order according to the obtained task priorities, and sorting the tasks with the same priorities in a secondary descending order according to the task waiting time; the system continuously updates the waiting time of each task according to a certain frequency, and updates the task queue and the waiting time when a new task arrives or the task execution is finished;
s3, acquiring the priority p of the task arranged at the first position of the task queue1And task latency t1;
S4, acquiring priority p of task being executed by cloud testing tool in platform0And system average latency t0;
S5, comparing the priority level and the waiting time of the task arranged at the first position of the task queue with the task being executed by the cloud testing tool, and adopting different tool using methods according to different priority level and waiting time;
s6, the system updates the waiting time of each task according to a certain frequency and every time when a new task arrives and the task ends, and repeats the steps S3-S5 after each update.
2. The queuing use method of the clouded test tool as claimed in claim 1, wherein in the step S1, a minimum task execution time slice in which each task satisfies the execution condition is estimated according to the acquired task basic information.
3. The queuing use method of the cloud test tool as claimed in claim 2, wherein the preset test task priority p is divided into 1-3, 3 levels in total, the user selects according to the need when submitting the task, the smaller the value, the higher the priority, the system adopts different tool use methods according to different priorities.
4. The method for queuing use of a clouded test tool as claimed in claim 3,
for the test tasks with the priority p =1, a method of independently using the cloud test tools according to the sequence of task submission time is adopted;
for the test tasks with the priority p =2, a time-sharing use mode with the same waiting time is adopted, and each task is allocated with a time slice which is not less than the minimum task execution time;
for the test tasks with the priority p =3, a method of independently using the cloud test tools according to the sequence of the task submission time is adopted.
5. The method for queuing use of the clouded test tool according to any one of claims 1 to 4, wherein the step S5 specifically includes:
when p is1>p0The method comprises the following steps:
if p is1=1, stopping all executing tasks, re-queuing the tasks in the queue according to the priority and the waiting time, updating the respective waiting time, running only the test task with high priority, and executing the task with low priority after the task with high priority is executed;
if p is1=2, stopping all executing tasks, re-queuing them in queue according to priority and waiting time, updating their respective waiting time, running only the test task with high priority, updating the average waiting time t of system0After the task with high priority is executed, the task with low priority is executed;
when p is1<p0If so, the task queue is kept unchanged, the cloud testing tool still executes the current task, and after the current task is completed, the testing task with low priority in the queue is executed;
when p is1=p0The method comprises the following steps:
if p is1=p0=1 or p1=p0If the priority is not less than 3, the task queue is kept unchanged, and test tasks with the same priority in the queue are executed after the current task is completed;
if p is1=p0=2, continue to compare the waiting time t of the task queued at the first position in the task queue1And system average latency t0。
7. the method of claim 6, wherein the waiting time t of the task queued at the first position in the task queue is continuously compared1And system average latency t0The method specifically comprises the following steps:
if t is1≥t0If the task is the first task in the task queue, the cloud testing tool is used in a time-sharing mode with all the tasks currently executed by the cloud testing tool, all the testing tasks are distributed with equal time slices which are not less than the minimum task execution time of all the tasks, and then the average waiting time of the system is updated according to the formula (1);
if t is1<t0And if so, continuing to wait in the task queue for the task arranged at the first position of the task queue, waiting for the next judgment period, updating the priority and the waiting time of the tasks in the queue, and judging the priority and the waiting time of the tasks again.
8. A cloud test tool queue usage system for implementing the cloud test tool queue usage method of any one of claims 1 to 7, the system comprising a test task management module, a test queue management module, and a test tool usage module,
the test task management module is used for acquiring test task information, including test task priority, basic information of tasks and task submission time;
the test queue management module is used for sequencing according to the priority of the test tasks and the waiting time of the tasks and updating the waiting time of the tasks in the queue according to a certain frequency; when a new task arrives and the task execution is finished, dynamically updating the task queue;
and the test tool using module is used for monitoring the use condition of the test tool, judging the priority level and the waiting time of the currently executed task and the tasks in the queue, and adopting different tool using methods according to different priority level and waiting time.
9. The cloud testing tool queuing system of claim 8, wherein the testing task management module further estimates a minimum task execution time slice for each task to satisfy the execution condition according to the task basic information.
10. The clouded test tool queuing use system of claim 9,
the preset test task priority p is divided into 1-3 grades, 3 grades are provided, a user selects according to needs when submitting a task, the smaller the numerical value is, the higher the priority is, and the system adopts different tool using methods according to different priorities;
for the test tasks with the priority p =1, a method of independently using the cloud test tools according to the sequence of task submission time is adopted;
for the test tasks with the priority p =2, a time-sharing use mode with the same waiting time is adopted, and each task is allocated with a time slice which is not less than the minimum task execution time;
for the test tasks with the priority p =3, a method of independently using the cloud test tools according to the sequence of the task submission time is adopted.
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