CN113656174A - Resource allocation method, system, computer device and storage medium - Google Patents
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Abstract
The invention provides a resource allocation method, a resource allocation system, computer equipment and a storage medium. The resource allocation method comprises the following steps: acquiring initial data and test data of host resource indexes; determining the value range of the host resource index in a preset test time period according to the test data; determining the resource use condition in a preset test time period and determining the resource consumption range in the preset test time period according to the initial data and the value range of the host resource index, and determining whether to adjust the resource allocation of the server according to the difference between the maximum value determined by the resource consumption range and the preset resource allocation amount. The resource allocation method provided by the invention obtains the information which accurately reflects the service condition of the server resource and the resource consumption range in the test time period according to the initial data and the test data of the host resource index obtained by the test, and can carry out more reasonable resource allocation according to the relation between the actual resource consumption and the preset resource amount.
Description
Technical Field
The present invention relates to the field of computer application technologies, and in particular, to a resource allocation method, system, computer device, and storage medium based on performance index monitoring.
Background
Performance testing, which is one of the important types of testing in software testing, mainly evaluates the capabilities of the system, e.g., load and response time data obtained from testing, and can be used to verify the capabilities of the planned model and, based thereon, help in making decisions, finding system bottlenecks, performing system tuning, detecting problems in software, verifying stability, reliability, etc.
At present, performance testing is usually performed based on a MeterSphere testing platform, the MeterSphere testing platform covers functions of test tracking, interface testing, performance testing, team cooperation and the like, is compatible with open source standards such as JMeter and the like, supports kubernets and cloud environments, and can easily support high-concurrency and distributed performance testing. Therefore, cloud elasticity can be effectively utilized by a power development and test team to carry out highly extensible automatic test, high-quality software delivery is accelerated, and the improvement of the overall efficiency of the test industry is promoted.
However, the performance test and the performance test report of the existing MeterSphere platform include several modules of pressure configuration, test overview, request statistics, error record and log details, but lack monitoring of the FullGC, monitoring of threads, flame diagram, CPU statistics and database analysis (e.g., slow SQL analysis), and host analysis, etc., so that technicians cannot obtain intuitive program performance analysis and host resource analysis.
In addition, in the existing operation and maintenance process, technicians usually allocate system resources according to the service requirements of each server in the system, however, in the actual situation, the system resources allocated to each server have a large system resource surplus, which causes waste of the system resources and also increases the investment cost of system hardware. Therefore, a method for dynamically determining resource allocation according to performance test conditions is needed to reduce resource waste.
Disclosure of Invention
In order to solve the problems or some problems in the prior art, embodiments of the present invention provide a resource allocation method, system, computer device, and storage medium based on performance index monitoring, where information accurately representing the service conditions of server resources and the resource consumption range in a test time period are obtained according to initial data and test data of host resource indexes obtained by a test, and more reasonable resource allocation can be performed according to the relationship between actual resource consumption and a preset resource amount.
According to a first aspect of the present invention, an embodiment of the present invention provides a resource allocation method based on performance index monitoring, which includes: the method comprises the steps of obtaining initial data of host resource indexes when testing starts, and obtaining testing data of the host resource indexes within a preset testing time period; determining the value range of the host resource index in the preset test time period according to the test data; determining the resource use condition of the host resource index in the preset test time period according to the initial data and the value range of the host resource index, and storing information representing the resource use condition into a database; and determining a resource consumption range in the preset test time period according to the information representing the resource use condition, and determining whether to adjust the resource allocation of the server according to a difference value between a maximum value determined by the resource consumption range and a preset resource allocation amount.
The above embodiment of the present invention determines the value range of the host resource index in the test time period according to the initial data and the test data of the host resource index obtained by the test, and further obtains the accurate resource usage condition in the test time period, thereby determining the resource consumption range in the preset test time period, and determining whether to adjust the resource allocation of the server according to the difference between the maximum value in the resource consumption range and the preset resource allocation amount, and thus avoiding the resource waste caused when the resource allocation is directly performed according to the service requirement of the server.
In some embodiments of the present invention, the resource allocation method further comprises: acquiring monitoring initial data of each performance index at the beginning of monitoring; acquiring monitoring data of each performance index within a preset monitoring time period; generating performance report information in the monitoring time period according to the monitoring initial data and the monitoring data of each performance index, and storing the performance report information into the database; wherein each performance index comprises a program performance index and the host resource index; the program performance indicators include: FullGC garbage recovery times, blocking threads, a CPU call stack and a slow SQL query statement; the host resource metrics include: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data.
According to the embodiment of the invention, the monitoring initial data and the monitoring data of each performance index are obtained through monitoring, and the performance report information in the monitoring time period is generated, so that the visual analysis report about FullGC, thread, CPU statistics and database analysis and host analysis is provided for the technical staff, and the technical staff can conveniently control the application system.
In some embodiments of the present invention, determining, according to the test data, a value range of a host resource indicator in the preset test time period includes: acquiring a first median of the test data of the host resource index; calculating an absolute difference between the test data of the host resource indicator and a first median; acquiring a second median of the absolute difference; and rejecting outlier point data in the test data of the host resource index according to the range determined by the second median, and acquiring the value range of the host resource index in the preset test time period according to the test data of the host resource index after the outlier point data is rejected.
According to the embodiment of the invention, the outliers in the test data of the host resource indexes are removed, the value range of the host resource indexes in the preset test time period is obtained based on the test data of the host resource indexes after the outlier data is removed, the real and effective resource use condition can be obtained based on the value range, and further more reasonable and effective resource distribution can be realized according to the resource use condition.
In some embodiments of the present invention, determining whether to adjust the server resource allocation according to a difference between a maximum value determined by the resource consumption range and a preset resource allocation amount comprises: and when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is larger than the resource surplus threshold value, adjusting the resource distribution of the server.
In the above embodiment of the present invention, by adjusting resource allocation of the server when the maximum resource consumption amount in the resource consumption range is smaller than the preset resource allocation amount and the difference between the maximum resource consumption amount and the preset resource allocation amount is greater than the resource remaining amount threshold, the resource that is allocated to the server by the system may be prevented from being excessive, so as to reduce waste of system resources.
In some embodiments of the present invention, determining whether to adjust the server resource allocation according to a difference between the maximum value determined by the resource consumption range and a preset resource allocation amount further comprises: obtaining the existing server resources after adjusting the resource allocation of the server, and obtaining the initial data and the test data of the host resource index again according to the existing server resources to obtain the resource consumption range; when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is within the preset resource residual amount range, determining the existing server resource as the standard server resource; and when the maximum value determined according to the resource consumption range is greater than or equal to a preset resource distribution amount, or the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount exceeds a preset resource surplus range, adjusting the resource distribution of the server to obtain the existing server resource until the standard server resource is obtained.
According to the embodiment of the invention, the server resources are dynamically adjusted until the maximum consumption in the resource consumption range obtained according to the existing server resources is smaller than the preset resource distribution amount, and the difference value between the maximum consumption and the preset resource distribution amount is within the preset resource surplus range, so that reasonable standard server resources are obtained, the effective distribution of system resources can be realized based on the standard server resources, resources and investment cost are saved, and a resource distribution basis can be provided for the online of new services according to the obtained standard server resources.
According to a second aspect of the present invention, an embodiment of the present invention provides a resource allocation system based on performance index monitoring, which includes: the data acquisition module is used for acquiring initial data of the host resource index when the test is started and acquiring test data of the host resource index within a preset test time period; the analysis and database falling module is used for determining the value range of the host resource index in the preset test time period according to the test data, determining the resource use condition of the host resource index in the preset test time period according to the initial data and the value range of the host resource index, and storing information representing the resource use condition into a database; and the resource adjusting module is used for determining a resource consumption range in the preset test time period according to the information representing the resource use condition, and determining whether to adjust the resource allocation of the server according to a difference value between a maximum value determined by the resource consumption range and a preset resource allocation amount.
The above embodiment of the present invention determines the value range of the host resource index in the test time period according to the initial data and the test data of the host resource index obtained by the test, and further obtains the accurate resource usage condition in the test time period, thereby determining the resource consumption range in the preset test time period, and determining whether to adjust the resource allocation of the server according to the difference between the maximum value in the resource consumption range and the preset resource allocation amount, and thus avoiding the resource waste caused when the resource allocation is directly performed according to the service requirement of the server.
In some embodiments of the present invention, the data obtaining module is further configured to obtain monitoring initial data of each performance index at the beginning of monitoring, and obtain the monitoring data of each performance index within a preset monitoring time period; the analysis database falling module is also used for generating performance report information in the monitoring time period according to the monitoring initial data and the monitoring data of each performance index and storing the performance report information into the database; wherein each performance index comprises a program performance index and the host resource index; the program performance indicators include: FullGC garbage recovery times, blocking threads, a CPU call stack and a slow SQL query statement; the host resource metrics include: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data.
According to the embodiment of the invention, the monitoring initial data and the monitoring data of each performance index are obtained through monitoring, and the performance report information in the monitoring time period is generated, so that the visual analysis report about FullGC, thread, CPU statistics and database analysis and host analysis is provided for the technical staff, and the technical staff can conveniently control the application system.
In some embodiments of the present invention, determining, according to the test data, a value range of a host resource indicator in the preset test time period includes: acquiring a first median of the test data of the host resource index; calculating an absolute difference between the test data of the host resource indicator and a first median; acquiring a second median of the absolute difference; and rejecting outlier point data in the test data of the host resource index according to the range determined by the second median, and acquiring the value range of the host resource index in the preset test time period according to the test data of the host resource index after the outlier point data is rejected.
According to the embodiment of the invention, the outliers in the test data of the host resource indexes are removed, the value range of the host resource indexes in the preset test time period is obtained based on the test data of the host resource indexes after the outlier data is removed, the real and effective resource use condition can be obtained based on the value range, and further more reasonable and effective resource distribution can be realized according to the resource use condition.
In some embodiments of the present invention, determining whether to adjust the server resource allocation according to a difference between a maximum value determined by the resource consumption range and a preset resource allocation amount comprises: and when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is larger than the resource surplus threshold value, adjusting the resource distribution of the server.
In the above embodiment of the present invention, by adjusting resource allocation of the server when the maximum resource consumption amount in the resource consumption range is smaller than the preset resource allocation amount and the difference between the maximum resource consumption amount and the preset resource allocation amount is greater than the resource remaining amount threshold, the resource that is allocated to the server by the system may be prevented from being excessive, so as to reduce waste of system resources.
In some embodiments of the present invention, determining whether to adjust the server resource allocation according to a difference between the maximum value determined by the resource consumption range and a preset resource allocation amount further comprises: obtaining the existing server resources after adjusting the resource allocation of the server, and obtaining the initial data and the test data of the host resource index again according to the existing server resources to obtain the resource consumption range; when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is within the preset resource residual amount range, determining the existing server resource as the standard server resource; and when the maximum value determined according to the resource consumption range is greater than or equal to a preset resource distribution amount, or the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount exceeds a preset resource surplus range, adjusting the resource distribution of the server to obtain the existing server resource until the standard server resource is obtained.
According to the embodiment of the invention, the server resources are dynamically adjusted until the maximum consumption in the resource consumption range obtained according to the existing server resources is smaller than the preset resource distribution amount, and the difference value between the maximum consumption and the preset resource distribution amount is within the preset resource surplus range, so that reasonable standard server resources are obtained, the effective distribution of system resources can be realized based on the standard server resources, resources and investment cost are saved, and a resource distribution basis can be provided for the online of new services according to the obtained standard server resources.
According to a third aspect of the present invention, the present invention provides a computer-readable storage medium having stored thereon computer-readable instructions, which, when executed by a processor, cause a computer to perform the following operations: the operations include the steps included in the resource allocation method according to any one of the above embodiments.
According to a fourth aspect of the present invention, the present invention provides a computer device including a memory and a processor, the memory being used for storing one or more computer readable instructions, wherein the one or more computer readable instructions, when executed by the processor, can implement the resource allocation method according to any one of the above embodiments.
As can be seen from the above description, according to the resource allocation method, system, computer device and storage medium based on performance index monitoring provided by the embodiments of the present invention, the value range of the host resource index in the test time period is determined according to the initial data and the test data of the host resource index obtained by the test, so as to obtain the accurate resource usage in the test time period, thereby determining the resource consumption range in the preset test time period, and determining whether to adjust the resource allocation of the server according to the difference between the maximum value in the resource consumption range and the preset resource allocation amount, so that resource waste caused by directly performing resource allocation according to the service requirement of the server can be avoided.
Drawings
FIG. 1 is a schematic flow chart of a resource allocation method based on performance indicator monitoring according to an embodiment of the present invention;
FIG. 2 is a schematic flow diagram of an analysis method based on monitoring of various performance indicators, according to one embodiment of the present invention;
FIG. 3 is an interface schematic of FullGC monitoring the results of an analysis, according to one embodiment of the invention;
FIG. 4 is an interface diagram for monitoring and displaying an abnormally blocked thread, according to one embodiment of the invention;
FIG. 5 is an interface diagram showing the use of a CPU call stack by a flame diagram, according to one embodiment of the invention;
FIG. 6A is a schematic interface diagram showing the analysis of the CPU usage of the system, the analysis of the CPU usage of the user, and the analysis of the memory usage of the user according to one embodiment of the present invention;
FIG. 6B is a schematic diagram of an interface showing system load, write IO usage, and read IO usage, according to an embodiment of the invention;
FIG. 6C is a schematic diagram of an interface showing the amount of time IO operations are performed per second, the number of packets lost during network reception, and the number of packets lost during network transmission, according to an embodiment of the present invention;
FIG. 6D is a schematic diagram of an interface showing the number of network reception errors and the number of network transmission errors of the system according to an embodiment of the present invention;
FIG. 7 is an architecture diagram of a resource allocation system based on performance indicator monitoring according to one embodiment of the invention.
Detailed Description
Various aspects of the invention are described in detail below with reference to the figures and the detailed description. Well-known modules, units and their interconnections, links, communications or operations with each other are not shown or described in detail. Furthermore, the described features, architectures, or functions can be combined in any manner in one or more implementations. It will be understood by those skilled in the art that the various embodiments described below are illustrative only and are not intended to limit the scope of the present invention. It will also be readily understood that the modules or units or processes of the embodiments described herein and illustrated in the figures can be combined and designed in a wide variety of different configurations.
The terms used herein are briefly described below.
Test data: the test data in the invention is specially used for data acquired in a preset test time period for testing the host resource index for realizing resource allocation.
Monitoring data: the monitoring data in the invention is specially data obtained in a preset monitoring time period for monitoring each performance index in order to obtain performance report information.
And (3) performance testing: the performance test is to simulate various normal, peak and abnormal load conditions through an automatic test tool to test various performance indexes of the system. Both load tests and pressure tests belong to the performance tests, and both can be performed in combination. The performance of the system under various working loads is determined through load tests, and the aim is to test the change of various performance indexes of the system when the load is gradually increased. Stress testing is a test that achieves the maximum level of service that a system can provide by determining a bottleneck or unacceptable performance point for the system. Interface testing: interface testing is a test that tests an interface between components of a system. The interface test is mainly used for detecting interaction points between external systems and between internal subsystems. The key point of the test is to check the exchange of data, transfer and control management processes, mutual logic dependency relationship between systems and the like.
MeterSphere: a one-stop open source continuous test platform.
Flame diagram: the flame diagram reflects the call stack and approximate CPU occupancy percentage during program execution by interactive pictures.
arthans: an open source Java diagnostic tool.
MAD: median absolute deviation, Median absolute deviation.
Outliers: outliers are defined as one or several values in a set of data that differ significantly from other values.
Fig. 1 is a flowchart illustrating a resource allocation method based on performance indicator monitoring according to an embodiment of the present invention.
As shown in fig. 1, in an embodiment of the present invention, the resource allocation method may include: step S11, step S12, step S13, step S14, and step S15, which are specifically described below.
In step S11, initial data of the host resource indicator is acquired at the start of the test. Wherein the host resource indicator data may include, but is not limited to, one or more of: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data. More specifically, the I/O usage includes write I/O usage, read I/O usage, I/O elapsed time per second; the network broadband data comprises a network receiving lost packet number, a network transmission lost packet number, a network receiving error number and a network sending error number.
In step S12, test data of the host resource indicator is obtained within a preset test time period.
In one embodiment, the host resource indicator may be tested by the MeterSphere test platform to obtain the initial data and the test data of the host resource indicator in steps S11 and S12. And, since the performance test report in the MeterSphere test platform has: the test platform has the characteristics of automatic generation of test reports, comparison of multiple test results, abundant report display details, test report content export and the like, is convenient for analyzing and exporting initial data and test data of host resource indexes, and can provide quite visual program performance analysis conditions and host resource analysis conditions for technicians.
In addition, the script used for performance test in the Meter sphere test platform has the characteristics of being completely compatible with the JMeter script, supporting online pressure parameter adjustment, providing a distributed multi-platform test resource pool and rapidly recording through a browser plug-in, and can easily support high-concurrency and distributed performance test.
In step S13, a value range of the host resource indicator in the preset test time period is determined according to the test data.
In one embodiment, the value range of the host resource indicator may be determined by: acquiring a first median of the test data of the host resource index; calculating an absolute difference between the test data of the host resource indicator and a first median; acquiring a second median of the absolute difference; and rejecting outlier point data in the test data of the host resource index according to the range determined by the second median, and acquiring the value range of the host resource index in the preset test time period according to the test data of the host resource index after the outlier point data is rejected.
The embodiment of the invention provides an exemplary method for eliminating outlier data in test data of host resource indexes according to the range determined by the second median, which comprises the following steps:
if the second median corresponding to one host resource indicator obtained according to the foregoing embodiment is a and the preset boundary thereof is n, then the test data with an absolute difference greater than a + n from all the test data of the host resource indicator is removed as an outlier.
By eliminating outliers in the test data of the host resource indexes and based on the test data of the host resource indexes after the outliers are eliminated, the value range of the host resource indexes in the preset test time period is obtained, the real and effective resource use condition can be obtained based on the value range, and further more reasonable and effective resource distribution can be realized according to the resource use condition.
The embodiment of the invention also provides an exemplary method for eliminating outlier data in test data of host resource indexes according to the MAD algorithm, which comprises the following steps:
(1) calculating median values X _ mean of the test data (X) of all host resource indexes;
(2) calculating the absolute difference between the test data of all host resource indexes and a median value X _ mean: abs (X-X _ mean);
(3) taking the median value MAD of the absolute deviation as bias _ mean; wherein, MAD _ mean is (abs (X-mean (X))).
(4) According to the preset threshold value M and the median value MAD _ mean of the absolute deviation, the rejection range is obtained to be larger than (MAD _ mean) + M, in other words, test data with the absolute difference between the test data (X) of the host resource index and the median value X _ mean being larger than (MAD _ mean) + M are taken as outliers to be rejected.
In step S14, the resource usage of the host resource indicator in the preset test time period is determined according to the initial data and the value range of the host resource indicator, and information indicating the resource usage is stored in a database. In one embodiment, an application representation corresponding to each host resource indicator is generated and stored in a database according to the resource usage. The application representation is a graph, a table and the like capable of reflecting resource consumption conditions corresponding to each host resource index in a test time period.
In step S15, a resource consumption range in the preset test time period is determined according to the information indicating the resource usage, and whether to adjust server resource allocation is determined according to a difference between a maximum value determined by the resource consumption range and a preset resource allocation amount.
In one embodiment, when the maximum value determined according to the resource consumption range is smaller than a preset resource allocation amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource allocation amount is larger than a resource surplus threshold value, the resource allocation of the server is adjusted. The preset resource allocation amount may be a resource allocation amount set by a technician according to a service requirement, or a resource request amount carried in a resource request of a server.
In a further embodiment, determining whether to adjust the server resource allocation according to a difference between the maximum value determined by the resource consumption range and a preset resource allocation amount may further include:
a. obtaining the existing server resources after adjusting the resource allocation of the server, and obtaining the initial data and the test data of the host resource index again according to the existing server resources to obtain the resource consumption range;
b. when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is within the preset resource residual amount range, determining the existing server resource as the standard server resource;
c. and when the maximum value determined according to the resource consumption range is greater than or equal to a preset resource distribution amount, or the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount exceeds a preset resource surplus range, adjusting the resource distribution of the server to obtain the existing server resource until the standard server resource is obtained.
The server resources are dynamically adjusted until the maximum consumption in the resource consumption range obtained according to the existing server resources is smaller than the preset resource distribution amount, and the difference value between the maximum consumption and the preset resource distribution amount is within the preset resource surplus range, so that reasonable standard server resources are obtained, the effective distribution of system resources can be realized based on the standard server resources, resources and input cost are saved, and a resource distribution basis can be provided for the online of new services according to the obtained standard server resources.
By adopting the method of the embodiment of the invention, the value range of the host resource index in the testing time period is determined according to the initial data and the testing data of the host resource index obtained by testing, and the accurate resource use condition in the testing time period is further obtained, so that the resource consumption range in the preset testing time period can be determined, whether the resource allocation of the server is adjusted or not is determined according to the difference value between the maximum value in the resource consumption range and the preset resource allocation amount, the resource waste caused by directly allocating the resource according to the service requirement of the server can be avoided, and the cost is saved. In addition, a resource allocation basis can be provided for the online of the new service according to the obtained standard server resource.
In other embodiments, the monitoring initial data of each performance index is obtained at the beginning of monitoring; acquiring monitoring data of each performance index within a preset monitoring time period; and generating performance report information in the monitoring time period according to the monitoring initial data and the monitoring data of each performance index, and storing the performance report information into the database.
Wherein the performance indicators include program performance indicators and the host resource indicators, and the program performance indicators may include, but are not limited to, one or more of the following: FullGC garbage collection times, blocking threads, CPU call stacks and slow SQL query statements. The host resource indicator data may include, but is not limited to, one or more of the following: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data.
In a further optional implementation manner, a data change image representing each performance index is generated according to the detected initial data and the monitored data of each performance index obtained through monitoring, and is displayed and stored in a database. For example, the increase of the number of FullGC times in the monitoring period is shown by a broken line diagram, the use of the CPU call stack in the monitoring period is shown by a flame diagram, and the like.
The monitoring initial data and the monitoring data of each performance index are obtained through monitoring, the basis of FullGC, thread and CPU statistics, database analysis and host analysis is provided, intuitive program performance analysis conditions and host resource analysis conditions are provided for technicians, and the technicians can conveniently manage and control and maintain the application system.
FIG. 2 is a schematic flow diagram of an analysis method based on monitoring of various performance indicators, according to an embodiment of the present invention.
As shown in fig. 2, the analysis method includes:
firstly, acquiring monitoring initial data of each performance index at the beginning of monitoring, and storing the monitoring initial data into a database. Wherein the performance indicators include but are not limited to: concurrent data, server CPU data, server memory data, database related data, network broadband data and the like. Moreover, those skilled in the art should understand that each performance index includes one or more of various program performance indexes and host resource indexes, such as specific indexes acquired after monitoring is started (FullGC times, blocking threads, usage of a CPU call stack, slow SQL query statements, and host resource indexes such as system CPU data, user CPU data, memory usage data, system load, write I/O usage, read I/O usage, I/O operation time consumption per second, network reception packet loss, network transmission packet loss, network reception error, network transmission error, and the like).
And secondly, monitoring and acquiring monitoring data of each performance index in a preset monitoring time period after the monitoring is started, and storing the monitoring data into a database. More specifically, the garbage recycling times are monitored and obtained by starting a FullGC; acquiring the running state (newly building new, running runnable, waiting for waiting, blocking and ending) of each thread through thread monitoring, and mainly determining the blocked thread; monitoring and acquiring the use condition of a CPU call stack through an arths flame diagram; analyzing the database slow SQL query statement to obtain a counted slow SQL query statement; the service conditions of the host resource indexes are obtained through host analysis, and the service conditions specifically include, but are not limited to, the following host resource indexes: system CPU data, user CPU data, memory usage data, system load, write I/O usage, read I/O usage, I/O utilization per second time consumed by operation, network receive packet loss number, network transmit packet loss number, network receive error number, network transmit error number, and the like.
And then, starting an analysis program after the primary monitoring time is finished, analyzing the monitoring initial data and the monitoring data of each performance index, and obtaining performance report information corresponding to each performance index.
And finally, generating application portrait data according to the performance report information and storing the application portrait data in a database, thereby providing a more intuitive performance analysis report for technicians.
The present invention provides examples, according to the above analysis method, of implementing the generation of application representation data from performance report information:
example one, FullGC monitoring
According to the difference between the FullGC times (initial data) at the beginning of the test and the FullGC times (monitoring data) obtained in the monitoring time period, the garbage recycling times in the monitoring time period are obtained, and are displayed through a FullGC monitoring analysis result interface shown in fig. 3.
In one embodiment, the garbage collection times at different time points in the monitoring time period are displayed through a line graph, an incremental graph and the like, so that an intuitive memory garbage collection condition is provided for technicians.
Example two, thread monitoring
Threads have mainly five forms: newly building new, running runnable, waiting for waiting, blocking blocked, and ending terminated. Fig. 4 is a schematic diagram of monitoring and displaying an abnormal blocked thread in a performance test process, and provides specific information of the blocked thread, so that a technician can solve the blocking problem as soon as possible.
Example three, flame map visualization
By loading the arths technology in the container, the arths is automatically monitored after the performance test is started, the use condition of the CPU call stack is stored in a picture form, and then the use condition is displayed on a foreground page, as shown in fig. 5, an interface schematic diagram of the use condition of the CPU call stack is displayed by using a flame diagram. In addition, as shown in fig. 5, the page also shows a path for storing the flame diagram, which is convenient for the technician to download and analyze.
Example four, database analysis
Counting the slow SQL query statements in the monitoring time period through performance testing, and displaying specific information of the slow SQL query statements in the monitoring time period on a corresponding display page.
Example five, host analysis
In the performance test process, the service conditions of a host CPU including a system CPU and a user CPU are monitored, the memory, the system load, the read-write IO service condition and the packet loss number of network receiving and transmission are monitored, and the monitored service conditions are respectively displayed on a page in a graphical visualization mode.
Fig. 6A-6D are schematic interface diagrams showing analysis of system CPU usage, analysis of user CPU usage, analysis of memory usage, system load, write IO usage, read IO usage, time consumed by IO operations per second, number of packets lost in network reception, number of packets lost in network transmission, number of errors in network reception, and number of errors in network transmission.
By adopting the method of the embodiment of the invention, the analysis of various performance indexes such as FullGC, thread, CPU statistics, database analysis, host analysis and the like is realized based on the monitoring initial data and the monitoring data of the program performance indexes and the host resource indexes obtained by monitoring, and visual index analysis conditions are provided for technical personnel.
FIG. 7 is an architecture diagram of a resource allocation system based on performance indicator monitoring according to one embodiment of the invention.
As shown in fig. 7, the resource allocation system includes:
a data obtaining module 710, configured to obtain initial data of a host resource indicator when a test starts, and obtain test data of the host resource indicator within a preset test time period; the method is also used for acquiring monitoring initial data of each performance index when the monitoring is started and acquiring the monitoring data of each performance index in a preset monitoring time period. Wherein, each performance index comprises a program performance index and a host resource index.
The program performance indicators may include, but are not limited to, one or more of the following: FullGC garbage collection times, blocking threads, CPU call stacks and slow SQL query statements. The host resource indicator data may include, but is not limited to, one or more of the following: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data. More specifically, the I/O usage includes write I/O usage, read I/O usage, I/O elapsed time per second; the network broadband data comprises a network receiving lost packet number, a network transmission lost packet number, a network receiving error number and a network sending error number.
In one embodiment, a performance test may be performed by the MeterSphere test platform to obtain initial data and test data of host resource indicators and monitor initial data and monitor data of each performance indicator.
The analysis falling library module 720 is used for determining the value range of the host resource index in the preset test time period according to the test data, determining the resource use condition of the host resource index in the preset test time period according to the initial data and the value range of the host resource index, and storing information representing the resource use condition into a database; and the performance monitoring system is also used for generating performance report information in the monitoring time period according to the monitoring initial data and the monitoring data of each performance index and storing the performance report information into the database.
Optionally, the details of the analysis report of each performance index test are displayed by portraying, so that a more intuitive analysis report of each performance index is provided for technicians, and the resource use condition is displayed by generating an application portray according to the information representing the resource use condition.
In one embodiment, the value range of the host resource indicator may be determined by: acquiring a first median of the test data of the host resource index; calculating an absolute difference between the test data of the host resource indicator and a first median; acquiring a second median of the absolute difference; and rejecting outlier point data in the test data of the host resource index according to the range determined by the second median, and acquiring the value range of the host resource index in the preset test time period according to the test data of the host resource index after the outlier point data is rejected.
The resource adjusting module 730 is configured to determine a resource consumption range within the preset test time period according to the information indicating the resource usage condition, and determine whether to adjust resource allocation of the server according to a difference between a maximum value determined by the resource consumption range and a preset resource allocation amount.
In one embodiment, when the maximum value determined according to the resource consumption range is smaller than a preset resource allocation amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource allocation amount is larger than a resource surplus threshold value, the resource allocation of the server is adjusted. The preset resource allocation amount may be a resource allocation amount set by a technician according to a service requirement, or a resource request amount carried in a resource request of a server.
In a further embodiment, determining whether to adjust the server resource allocation according to a difference between the maximum value determined by the resource consumption range and a preset resource allocation amount may further include:
a. obtaining the existing server resources after adjusting the resource allocation of the server, and obtaining the initial data and the test data of the host resource index again according to the existing server resources to obtain the resource consumption range;
b. when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is within the preset resource residual amount range, determining the existing server resource as the standard server resource;
c. and when the maximum value determined according to the resource consumption range is greater than or equal to a preset resource distribution amount, or the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount exceeds a preset resource surplus range, adjusting the resource distribution of the server to obtain the existing server resource until the standard server resource is obtained.
By adopting the system of the embodiment of the invention, the value range of the host resource index in the test time period is determined according to the initial data and the test data of the host resource index, and then the accurate resource use condition in the test time period is obtained, so that the resource consumption range in the preset test time period can be determined, and the server resource is dynamically adjusted according to the difference value between the maximum value in the resource consumption range and the preset resource distribution amount until the optimal standard server resource is obtained, thereby realizing the effective distribution of the system resource, saving the resource and the input cost, and providing a resource distribution basis for the online of new service according to the obtained standard server resource. Meanwhile, monitoring initial data and monitoring data of each performance index are obtained through monitoring, the basis of FullGC, thread and CPU statistics, database analysis and host analysis is provided, and intuitive program performance analysis conditions and host resource analysis conditions are provided for technicians.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented by combining software and a hardware platform. With this understanding in mind, all or part of the technical solutions of the present invention that contribute to the background can be embodied in the form of a software product, which can be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods according to the embodiments or some parts of the embodiments.
Correspondingly, the embodiment of the invention also provides a computer readable storage medium, on which computer readable instructions or a program are stored, and when the computer readable instructions or the program are executed by a processor, the computer is enabled to execute the following operations: the operation includes the steps included in the resource allocation method according to any of the above embodiments, and details are not repeated here. Wherein the storage medium may include: such as optical disks, hard disks, floppy disks, flash memory, magnetic tape, etc.
In addition, the present invention also provides a computer device including a memory and a processor, where the memory is used for storing one or more computer readable instructions or programs, and when the processor executes the one or more computer readable instructions or programs, the resource allocation method according to any one of the above embodiments can be implemented. The computer device may be, for example, a server, a desktop computer, a notebook computer, a tablet computer, or the like.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may be modified or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention. Therefore, the protection scope of the present invention should be subject to the claims.
Claims (12)
1. A resource allocation method based on performance index monitoring is characterized in that the resource allocation method comprises the following steps:
acquiring initial data of host resource indexes when a test is started;
acquiring test data of the host resource index in a preset test time period;
determining the value range of the host resource index in the preset test time period according to the test data;
determining the resource use condition of the host resource index in the preset test time period according to the initial data and the value range of the host resource index, and storing information representing the resource use condition into a database;
and determining a resource consumption range in the preset test time period according to the information representing the resource use condition, and determining whether to adjust the resource allocation of the server according to a difference value between a maximum value determined by the resource consumption range and a preset resource allocation amount.
2. The resource allocation method of claim 1, wherein the resource allocation method further comprises:
acquiring monitoring initial data of each performance index at the beginning of monitoring;
acquiring monitoring data of each performance index within a preset monitoring time period;
generating performance report information in the monitoring time period according to the monitoring initial data and the monitoring data of each performance index, and storing the performance report information into the database;
wherein each performance index comprises a program performance index and the host resource index;
the program performance indicators include: FullGC garbage recovery times, blocking threads, a CPU call stack and a slow SQL query statement;
the host resource metrics include: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data.
3. The resource allocation method according to claim 1, wherein determining the value range of the host resource indicator in the preset test time period according to the test data comprises:
acquiring a first median of the test data of the host resource index;
calculating an absolute difference between the test data of the host resource indicator and a first median;
acquiring a second median of the absolute difference;
and rejecting outlier point data in the test data of the host resource index according to the range determined by the second median, and acquiring the value range of the host resource index in the preset test time period according to the test data of the host resource index after the outlier point data is rejected.
4. The resource allocation method of claim 1, wherein determining whether to adjust server resource allocation according to a difference between a maximum value determined by the resource consumption range and a preset resource allocation amount comprises:
and when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is larger than the resource surplus threshold value, adjusting the resource distribution of the server.
5. The method of claim 4, wherein determining whether to adjust server resource allocation according to the difference between the maximum value determined by the resource consumption range and a preset resource allocation amount further comprises:
obtaining the existing server resources after adjusting the resource allocation of the server, and obtaining the initial data and the test data of the host resource index again according to the existing server resources to obtain the resource consumption range;
when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is within the preset resource residual amount range, determining the existing server resource as the standard server resource;
and when the maximum value determined according to the resource consumption range is greater than or equal to a preset resource distribution amount, or the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount exceeds a preset resource surplus range, adjusting the resource distribution of the server to obtain the existing server resource until the standard server resource is obtained.
6. A resource allocation system based on performance indicator monitoring, the resource allocation system comprising:
the data acquisition module is used for acquiring initial data of the host resource index when the test is started and acquiring test data of the host resource index within a preset test time period;
the analysis and database falling module is used for determining the value range of the host resource index in the preset test time period according to the test data, determining the resource use condition of the host resource index in the preset test time period according to the initial data and the value range of the host resource index, and storing information representing the resource use condition into a database;
and the resource adjusting module is used for determining a resource consumption range in the preset test time period according to the information representing the resource use condition, and determining whether to adjust the resource allocation of the server according to a difference value between a maximum value determined by the resource consumption range and a preset resource allocation amount.
7. The resource allocation system of claim 6,
the data acquisition module is further used for acquiring monitoring initial data of each performance index when monitoring starts and acquiring the monitoring data of each performance index within a preset monitoring time period;
the analysis database falling module is also used for generating performance report information in the monitoring time period according to the monitoring initial data and the monitoring data of each performance index and storing the performance report information into the database;
wherein each performance index comprises a program performance index and the host resource index;
the program performance indicators include: FullGC garbage recovery times, blocking threads, a CPU call stack and a slow SQL query statement;
the host resource metrics include: system CPU data, user CPU data, memory usage data, I/O usage, and network broadband data.
8. The resource allocation system of claim 6, wherein determining the value range of the host resource indicator within the preset test time period according to the test data comprises:
acquiring a first median of the test data of the host resource index;
calculating an absolute difference between the test data of the host resource indicator and a first median;
acquiring a second median of the absolute difference;
and rejecting outlier point data in the test data of the host resource index according to the range determined by the second median, and acquiring the value range of the host resource index in the preset test time period according to the test data of the host resource index after the outlier point data is rejected.
9. The resource allocation system of claim 6, wherein determining whether to adjust server resource allocation based on the difference between the maximum value determined for the resource consumption range and a preset resource allocation amount comprises:
and when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is larger than the resource surplus threshold value, adjusting the resource distribution of the server.
10. The resource allocation system of claim 9, wherein determining whether to adjust server resource allocation based on a difference between the maximum value determined for the resource consumption range and a preset resource allocation amount further comprises:
obtaining the existing server resources after adjusting the resource allocation of the server, and obtaining the initial data and the test data of the host resource index again according to the existing server resources to obtain the resource consumption range;
when the maximum value determined according to the resource consumption range is smaller than the preset resource distribution amount, and the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount is within the preset resource residual amount range, determining the existing server resource as the standard server resource;
and when the maximum value determined according to the resource consumption range is greater than or equal to a preset resource distribution amount, or the difference value between the maximum value determined according to the resource consumption range and the preset resource distribution amount exceeds a preset resource surplus range, adjusting the resource distribution of the server to obtain the existing server resource until the standard server resource is obtained.
11. A computer readable storage medium storing computer software instructions for execution by a processor to implement the resource allocation method of any one of claims 1-5.
12. A computer device comprising a memory and a processor;
wherein the memory is configured to store one or more computer instructions that are executed by the processor to implement the resource allocation method of any one of claims 1-5.
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