CN110737593B - Intelligent capacity management method, device and storage medium - Google Patents
Intelligent capacity management method, device and storage medium Download PDFInfo
- Publication number
- CN110737593B CN110737593B CN201910885670.9A CN201910885670A CN110737593B CN 110737593 B CN110737593 B CN 110737593B CN 201910885670 A CN201910885670 A CN 201910885670A CN 110737593 B CN110737593 B CN 110737593B
- Authority
- CN
- China
- Prior art keywords
- interface
- combination mode
- concurrent
- time
- real
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/30—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
Abstract
The invention provides an intelligent capacity management method, an intelligent capacity management device and a computer readable storage medium, wherein the method comprises the following steps: performing combined pressure measurement according to the maximum concurrent processing number of each interface to acquire combined performance parameter information of each interface of the system to be managed in a concurrent combination mode; establishing a pressure measurement library according to the combination performance parameter information of each interface in a concurrent combination mode, and marking the pressure measurement library according to a historical access database; searching the pressure measurement library according to a concurrent combination mode of the production real-time interface, and judging whether the capacity of the real-time system is sufficient or not according to a searched result; and carrying out capacity expansion on the system to be managed according to the concurrent combination mode of the production real-time interfaces and the maximum concurrent processing number of each interface. According to the invention, the prediction precision of the system capacity can be obviously improved by establishing a special pressure measurement library; in addition, the capacity of the system can be automatically expanded through a real-time interface concurrent combination mode and the maximum concurrent processing number of each interface, and the real-time capacity management of the system to be managed is realized.
Description
Technical Field
The present invention relates to the field of capacity management technologies, and in particular, to an intelligent capacity management method, an intelligent capacity management apparatus, and a computer-readable storage medium.
Background
In internet application, the pressure test method is the most common method for evaluating system capacity, and system capacity can be predicted and managed according to the pressure test result, and is usually performed outside the normal operation range of the system so as to investigate functional limit and hidden danger of the system.
Stress testing is generally directed to online games, and traditionally means a test that continuously applies "stress" to a server of an online game, and is a test that obtains the maximum service level that a system can provide by determining a bottleneck or unacceptable performance point of the system. Before a network game is on the market, a game development team or an operator can perform game stress test on the network game, and the aim is to know the bearing capacity of a game server so as to perform operation or development on purpose.
Certainly, the pressure test may also be used in some other service systems with large traffic variation, such as a shopping website system, a performance query system, and the like, and the bearing capacity of the system server, including the bearing capacity of the user, the traffic bearing, and the like, is detected by the pressure test, so as to perform capacity management on the system at a later stage, and provide better service for the customer.
However, the conventional pressure testing method is only to perform pressure testing on a single function of the system, obtain system performance parameters when the system has different pressure values (concurrent processing number), and determine a limit value (maximum concurrent processing number) of the system under the function according to the system performance parameters; however, the measured results in this way often have a large difference from the results obtained when the production environment is multifunctional and used, and of course, the system capacity prediction in the later period is also very inaccurate.
In addition, the conventional intelligent capacity management method generally includes firstly performing pressure measurement on each function of the system through a conventional pressure testing method, then performing corresponding calculation on a pressure measurement result and each real-time performance parameter in system production, judging whether the system capacity is sufficient according to the calculation result, and finally performing intelligent capacity management through manually predicting the capacity which needs to be expanded by the system according to each real-time performance index in system production and the pressure measurement result.
Based on the above two problems, a high-precision and high-efficiency intelligent capacity management method is needed.
Disclosure of Invention
The invention provides an intelligent capacity management method, an electronic device and a computer storage medium, and mainly aims to establish a pressure measurement library containing all interface interfaces of a system in a concurrent combination mode through combined pressure measurement, and then perform real-time intelligent capacity management on a system to be managed according to the pressure measurement library, so that the prediction precision of system capacity can be remarkably improved, and the real-time intelligent management of the system capacity can be realized.
To achieve the above object, the present invention provides an electronic device, comprising: a memory, a processor, and an intelligent capacity management program stored in the memory and executable on the processor, the intelligent capacity management program when executed by the processor implementing the steps of:
performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information of each interface of the system to be managed in a concurrent combination mode, and establishing a pressure measurement library according to the combined performance parameter information of each interface in the concurrent combination mode;
the concurrent combination mode of each interface is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode;
judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, otherwise, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed;
the historical normal access event is a historical access event with qualified system performance parameters in the historical access of the system to be managed;
judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library;
the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode;
if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure measurement library, judging that the real-time system capacity of the system to be managed is sufficient, otherwise, judging that the real-time system capacity of the system to be managed is insufficient;
if the real-time system capacity of the system to be managed is insufficient, determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of the real-time interface;
and carrying out capacity expansion on the system to be managed according to the number of the servers to be expanded.
Preferably, the process of performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed includes the following steps:
performing mathematical combination on the maximum concurrent processing number of each interface to determine the concurrent combination mode of all the interfaces;
and carrying out combined pressure measurement on the system to be managed according to the interface concurrent combination mode so as to obtain combined performance parameter information under the interface concurrent combination mode.
Preferably, the combined performance parameters include combined access time consumption and combined access error rate; the process of judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified according to the performance parameter information of the historical normal access event comprises the following steps:
acquiring all historical normal access events in all historical access events of a system to be managed, wherein the historical access events, the historical access time consumption and the historical access error rate of the historical access events are stored in a preset historical access database;
acquiring the average time consumption and the average error rate of historical normal access of the historical normal access events;
judging whether the combined access time consumption of the concurrent combined mode of each interface is less than the average historical normal access time consumption and whether the combined access error rate is less than the average historical normal access error rate;
if the combined access time consumption of the interface concurrent combination mode is less than the historical normal access average time consumption and the combined access error rate is less than the historical normal access average error rate, judging that the combined performance parameter information of the interface concurrent combination mode is qualified, otherwise, judging that the combined performance parameter information of the interface concurrent combination mode is unqualified.
Preferably, the process of acquiring all historical normal access events in the historical access events includes the following steps:
respectively averaging the historical access time consumption and the historical access error rate of all historical access events in the historical access database to obtain the historical access average time consumption and the historical access average error rate;
setting a normal consumed time correction parameter and a normal error rate correction parameter according to the historical access average consumed time and the historical access average error rate;
judging whether the historical access time consumption of the historical access event is less than the normal time consumption proofreading parameter and whether the historical access error rate is less than the normal error rate proofreading parameter;
if the historical access time consumption of the historical access event is less than the normal time consumption proofreading parameter and the historical access error rate is less than the normal error rate proofreading parameter, recording the historical access event as a historical normal access event and acquiring the historical normal access event.
Preferably, the normal consumed time correction parameter is set to be 1.4 times of the average consumed time of the historical visit, and the normal error rate correction parameter is set to be 2 times of the average error rate of the historical visit.
Preferably, the condition that the real-time system capacity of the system to be managed is insufficient includes that an interface concurrent combination mode matched with the production real-time interface concurrent combination mode is not retrieved from the pressure measurement library, and an interface concurrent combination mode which is retrieved from the pressure measurement library and matched with the production real-time interface concurrent combination mode and marked as failure;
if the retrieved interface concurrent combination mode matched with the production real-time interface concurrent combination mode and marked as a failure interface concurrent combination mode, setting the number of the servers to be expanded to 1;
and if the interface concurrent combination mode matched with the production real-time interface concurrent combination mode is not searched in the pressure testing library, determining the number of the servers to be expanded according to the maximum concurrent processing number of each interface and the production real-time interface concurrent combination mode.
Preferably, the process of determining the number of the servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of the real-time production interface comprises the following steps:
multiplying the maximum concurrent processing number of each interface by a same variable parameter N to obtain a newly-arranged maximum concurrent processing number of each interface;
comparing the newly-arranged maximum concurrent processing number and the real-time concurrent processing number of each interface;
when the real-time concurrent processing number of any interface is larger than or equal to the newly-arranged maximum concurrent processing number of the interface, adding one to the variable parameter N, and continuously executing the step of obtaining the newly-arranged maximum concurrent processing number of each interface by multiplying the maximum concurrent processing number of each interface by the same variable parameter N;
when the real-time concurrent processing number of all the interfaces is smaller than the newly-set maximum concurrent processing number, recording the variable parameter N as a fixed parameter N;
dividing the real-time concurrent processing number of each interface by the fixed parameter N to obtain the average real-time concurrent processing number of each interface;
and searching the pressure measurement library according to the average real-time concurrent processing number of each interface, if the searched interface concurrent combination mode which is matched with the average real-time concurrent processing number of each interface and is marked as a successful interface concurrent combination mode, setting the number of the servers to be expanded to be (N-1), and if the searched interface concurrent combination mode which is matched with the average real-time concurrent processing number of each interface and is marked as a failed interface concurrent combination mode, setting the number of the servers to be expanded to be N.
In addition, to achieve the above object, the present invention further provides an intelligent capacity management method, including:
performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information of each interface of the system to be managed in a concurrent combination mode, and establishing a pressure measurement library according to the combined performance parameter information of each interface in the concurrent combination mode;
the concurrent combination mode of each interface is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode;
judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, otherwise, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed;
the historical normal access event is a historical access event with qualified system performance parameters in the historical access of the system to be managed;
judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library;
the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode;
if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure measurement library, judging that the real-time system capacity of the system to be managed is sufficient, otherwise, judging that the real-time system capacity of the system to be managed is insufficient;
if the real-time system capacity of the system to be managed is insufficient, determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of the real-time interface;
and carrying out capacity expansion on the system to be managed according to the number of the servers to be expanded.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, in which an intelligent capacity management program is stored, and when the intelligent capacity management program is executed by a processor, the steps of the intelligent capacity management method are implemented.
The intelligent capacity management method, the electronic device and the computer readable storage medium provided by the invention firstly establish a pressure measurement library containing all interface concurrent combination modes of the system through combined pressure measurement, then judge whether the capacity of the system to be managed is sufficient according to the pressure measurement library, and finally carry out real-time intelligent capacity management on the system to be managed according to the production real-time interface concurrent combination mode.
Drawings
FIG. 1 is a schematic structural diagram of an electronic device according to a preferred embodiment of the present invention;
FIG. 2 is a flow chart of an intelligent capacity management method provided by the present invention;
FIG. 3 is a flowchart illustrating a method for determining whether the combined performance parameter information is qualified in a concurrent combination mode of each interface according to the performance parameter information of a historical normal access event;
FIG. 4 is a flowchart of a process for acquiring all historical normal access events in historical access events provided by the present invention;
FIG. 5 is a schematic diagram of the internal modules of the intelligent capacity management program provided by the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides an intelligent capacity management method, which is applied to an electronic device 70. Referring to fig. 1, a schematic structural diagram of an electronic device 70 according to a preferred embodiment of the invention is shown.
In the embodiment, the electronic device 70 may be a terminal device having a computing function, such as a server, a smart phone, a tablet computer, a portable computer, or a desktop computer.
The electronic device 70 includes: a processor 71 and a memory 72.
The memory 72 includes at least one type of readable storage medium. At least one type of readable storage medium may be a non-volatile storage medium such as a flash memory, a hard disk, a multimedia card, a card-type memory, and the like. In some embodiments, the readable storage medium may be an internal storage unit of the electronic device 70, such as a hard disk of the electronic device 70. In other embodiments, the readable storage medium may be an external memory of the electronic device 1, such as a plug-in hard disk provided on the electronic device 70, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like.
In the present embodiment, the readable storage medium of the memory 72 is generally used for storing the intelligent capacity management program 73 installed in the electronic device 70. The memory 72 may also be used to temporarily store data that has been output or is to be output.
Processor 72, in some embodiments, may be a Central Processing Unit (CPU), microprocessor or other data Processing chip that executes program code stored in memory 72 or processes data, such as intelligent capacity management program 73.
In some embodiments, the electronic device 70 is a terminal device of a smartphone, tablet, portable computer, or the like. In other embodiments, the electronic device 70 may be a server.
Fig. 1 shows only an electronic device 70 having components 71-73, but it is to be understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
Optionally, the electronic device 70 may further include a user interface, which may include an input unit such as a Keyboard (Keyboard), a voice input device such as a microphone (microphone) or other devices with voice recognition function, a voice output device such as a sound box, a headset, etc., and optionally may also include a standard wired interface, a wireless interface.
Optionally, the electronic device 70 may further include a display, which may also be referred to as a display screen or a display unit. In some embodiments, the display device may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an Organic Light-Emitting Diode (OLED) touch device, or the like. The display is used for displaying information processed in the electronic device 70 and for displaying a visualized user interface.
Optionally, the electronic device 70 may further include a touch sensor. The area provided by the touch sensor for the user to perform touch operation is referred to as a touch area. Further, the touch sensor here may be a resistive touch sensor, a capacitive touch sensor, or the like. The touch sensor may include not only a contact type touch sensor but also a proximity type touch sensor. Further, the touch sensor may be a single sensor, or may be a plurality of sensors arranged in an array, for example.
The area of the display of the electronic device 70 may be the same as or different from the area of the touch sensor. Optionally, the display is stacked with the touch sensor to form a touch display screen. The device detects touch operation triggered by a user based on the touch display screen.
Optionally, the electronic device 70 may further include a Radio Frequency (RF) circuit, a sensor, an audio circuit, and the like, which are not described in detail herein.
FIG. 2 is a flow chart of the intelligent capacity management method provided by the present invention, in the embodiment of the apparatus shown in FIG. 1, an operating system and an intelligent capacity management program 73 may be included in a memory 72 as a computer storage medium; the steps in the flow chart of the intelligent capacity management method described above are implemented when processor 71 executes intelligent capacity management program 73 stored in memory 72:
s110: and performing combined pressure test on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information in the concurrent combination mode of each interface of the system to be managed, and storing the concurrent combination mode of each interface and the combined performance parameter information in the concurrent combination mode of each interface into a database so as to establish a pressure test library.
And each interface concurrent combination mode is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode.
It should be noted that, before performing combined pressure measurement on the system to be managed, pre-pressure measurement needs to be performed on each function of the system to be managed in a conventional pressure measurement manner to obtain the maximum concurrent processing number of each function of the system to be managed, and since the functions of the system to be managed and the interfaces are in a one-to-one correspondence relationship, the maximum concurrent processing number of each interface of the system to be managed is also obtained.
Specifically, the interface concurrent combination mode may be determined by mathematically combining the maximum concurrent processing number of each interface, for example, if the maximum concurrent processing number of each interface of the system to be managed is A, B, C … … N in sequence, after the combination in the mathematical domain is applied, there are (a +1) × (B +1) × (C +1) … … (N +1) of all the interface concurrent combination modes, and the interface concurrent combination modes are not completely the same, and in addition, since the maximum concurrent processing number of each interface is mathematically combined, all the interface combinations and the interface concurrent situations of the system to be managed under a normal operation condition are included in the interface concurrent combination mode; and then, according to the interface concurrent combination mode obtained by the mathematical combination mode, the combined pressure measurement can be carried out on the system to be managed so as to obtain the combined performance parameter information of the system to be managed in the interface concurrent combination mode.
In order to improve the pressure measurement precision of the pre-pressure measurement and the combined pressure measurement, Apache JMeter which is a Java-based pressure test tool developed by Apache organization can be selected as pressure measurement software. For stress testing of software or systems, it was originally designed for Web application testing, but was later extended to other areas of testing. It can be used to test static and dynamic resources such as static files, Java servlets, CGI scripts, Java objects, databases, FTP servers, and so forth.
In addition, the Apache JMeter can also be applied to a server, a network or an object to simulate huge loads, and the strength and the overall performance of the server, the network or the object are tested by different pressure test methods. In addition, Apache JMeter can also be used to functionally/regressively test an application by creating a script with an assertion to verify that the program returns the desired result. Functionally, the Apache JMeter has the most powerful stress testing function, and can test various types of interfaces and obtain various performance parameters of the system to be managed in a concurrent combination mode of the various interfaces, such as time consumption for access, error rate, throughput rate, CPU utilization rate, memory utilization rate, bandwidth utilization rate, and the like.
Specifically, the combined performance parameter information may include combined access time consumption, combined access error rate, combined throughput, and total concurrent processing number, and combined performance parameter information in all the interface concurrent combination modes and each interface concurrent combination mode is stored in the pressure measurement library, and further, the combined performance parameter information may further include CPU utilization, memory utilization, and broadband utilization of the system to be managed.
In addition, in order to manage the pressure measurement library, the pressure measurement library may be divided into two parts, namely a first data table and a second data table, the first data table is used for storing resource usage conditions of the system to be managed, such as CPU usage rate, memory usage rate, broadband usage rate, and the like, and the second data table is used for storing performance data information of the system to be managed, such as combined access time consumption, combined access error rate, combined throughput, and total concurrent processing number.
S120: and judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, and if the combined performance parameter information under the concurrent combination mode of the interfaces is unqualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed.
Specifically, fig. 3 is a flowchart for determining whether the combined performance parameter information in the concurrent combination mode of each interface is qualified according to the performance parameter information of the historical normal access event, as shown in fig. 3, a process for determining whether the combined performance parameter information in the concurrent combination mode of each interface is qualified according to the performance parameter information of the historical normal access event includes the following steps:
s121: acquiring all historical normal access events in all historical access events of a system to be managed, wherein the historical access events, the historical access time consumption and the historical access error rate of the historical access events are stored in a preset historical access database;
s122: acquiring the average time consumption and the average error rate of historical normal access events;
s123: judging whether the combined access time consumption of the concurrent combination mode of each interface is less than the average historical normal access time consumption and whether the combined access error rate is less than the average historical normal access error rate;
s124: if the combined access time consumption of the interface concurrent combination mode is less than the average time consumption of the historical normal access and the combined access error rate is less than the average error rate of the historical normal access, judging that the combined performance parameter information of the interface concurrent combination mode is qualified, otherwise, judging that the combined performance parameter information of the interface concurrent combination mode is unqualified.
More specifically, fig. 4 is a flowchart of a process for acquiring all historical normal access events in the historical access events, where as shown in fig. 4, the process for acquiring all historical normal access events in the historical access events includes the following steps:
s1211: respectively averaging the historical access time consumption and the historical access error rate of all historical access events in the historical access database to obtain the historical access average time consumption and the historical access average error rate;
s1212: setting a normal consumed time correction parameter and a normal error rate correction parameter according to the historical access average consumed time and the historical access average error rate;
s1213: judging whether the historical access time consumption of the historical access event is less than the normal time consumption proofreading parameter and whether the historical access error rate is less than the normal error rate proofreading parameter;
s1214: and if the historical access time consumption of the historical access event is less than the normal time consumption proofreading parameter and the historical access error rate is less than the normal error rate proofreading parameter, recording the historical access event as a historical normal access event and acquiring the historical normal access event.
It should be noted that the normal time consumption correction parameter can be set to be 1.3 to 1.5 times of the average time consumption of the historical access, the average time consumption of the historical access which is more consistent with the system to be managed is selected to be 1.4 times, and the normal time consumption correction parameter can be adjusted up and down according to the actual situation in the practical application; the normal error rate correction parameter can be set to be 2 times of the average error rate of historical access, and can be finely adjusted up and down according to actual conditions in practical application.
Further, the process of obtaining the average historical normal access time consumption and the average historical normal access error rate of the historical normal access events comprises the following steps:
acquiring historical access time consumption and historical access error rate of all historical normal access events;
respectively carrying out average calculation on the historical access time consumption and the historical access error rate of all historical normal access events;
recording the average value of the historical access time consumption of the historical normal access events as the average time consumption of the historical access normal access, and recording the average value of the historical access error rate of the historical normal access events as the average error rate of the historical access normal;
and acquiring the average normal time consumption of the historical access and the average error rate of the historical access.
S130: and judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library.
And the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode.
Specifically, if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure detection library, the real-time system capacity of the system to be managed is judged to be sufficient, otherwise, the real-time system capacity of the system to be managed is judged to be insufficient.
More specifically, firstly, the log collection agent collects the system to be managed in real time to obtain the real-time combination concurrency condition of each function in production, and as each function of the system to be managed corresponds to each interface one by one, the real-time combination mode of the interfaces in production can be obtained through the real-time combination concurrency condition of each function in production;
then, searching the pressure testing library according to the production real-time interface concurrent combination mode of the system to be managed, and if an interface concurrent combination mode matched with the production real-time interface concurrent combination mode is not searched in the pressure testing library, judging that the capacity of the real-time system is insufficient;
if an interface concurrent combination mode matched with the production real-time interface concurrent combination mode can be searched in the pressure testing library, and the label of the interface concurrent combination mode is failure, judging that the real-time system capacity is insufficient;
if the interface concurrent combination mode matched with the production real-time interface concurrent combination mode can be searched in the pressure testing library, and the marking of the interface concurrent combination mode is successful, the real-time system capacity is judged to be sufficient.
It should be noted that, the above-mentioned matching of the production real-time interface concurrent combination mode and the interface concurrent combination mode means that the production real-time interface combination mode of the production real-time interface concurrent combination mode is the same as the interface combination mode of the interface concurrent combination mode, and the condition of the real-time concurrent processing number of each interface of the production real-time interface concurrent combination mode is the same as the condition of the concurrent processing number of each interface of the interface concurrent combination mode.
In addition, after the concurrent combination mode of the interface matched with the concurrent combination mode of the production real-time interface is obtained, the combined performance parameter information in the concurrent combination mode of the interface can be obtained, because the concurrent combination mode of the production real-time interface corresponds to the concurrent combination mode of the interface, the interface combination of the production real-time interface and the combination concurrency condition of each interface are the same, the combined performance parameter information retrieved from the pressure measurement library is the real-time performance parameter information of the system to be managed, and the real-time performance monitoring of the system to be managed can be realized through the real-time performance parameter information.
S140: and if the real-time system capacity of the system to be managed is insufficient, determining the number of the servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of producing the real-time interface.
Specifically, the condition that the real-time system capacity of the system to be managed is insufficient includes that the concurrent combination mode of the interface matched with the concurrent combination mode of the production real-time interface is not retrieved from the pressure measurement library, and the concurrent combination mode of the interface matched with the concurrent combination mode of the production real-time interface retrieved from the pressure measurement library is marked as failure.
If the interface concurrent combination mode matched with the production real-time interface concurrent combination mode can be retrieved from the pressure measurement library, and the label of the interface concurrent combination mode is failure, the real-time concurrent processing number of each interface is necessarily smaller than the maximum concurrent processing number of each interface, only because the combined concurrent processing total number of each interface exceeds the bearing capacity of the system, only one same server needs to be additionally started, the real-time concurrent processing number of each interface can be ensured to be smaller than half of the maximum concurrent processing number of each interface, and under the condition, the capacity of the system to be managed is necessarily sufficient; therefore, the number of servers to be extended is set to 1.
If the interface concurrent combination mode matched with the production real-time interface concurrent combination mode is not searched in the pressure testing library, it indicates that the real-time concurrent processing number of some interfaces of the system to be managed exceeds the maximum concurrent processing number, and at this time, the number of servers to be expanded needs to be determined according to the maximum concurrent processing number of each interface and the production real-time interface concurrent combination mode.
Further, the process of determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of producing the real-time interface comprises the following steps:
firstly, multiplying the maximum concurrent processing number of each interface by a same variable parameter N to obtain the newly-placed maximum concurrent processing number of each interface, and then comparing the newly-placed maximum concurrent processing number of each interface with the real-time concurrent processing number, wherein when the real-time concurrent processing number of any interface is greater than or equal to the newly-placed maximum concurrent processing number of any interface, the variable parameter N is increased by one, and the step of multiplying the maximum concurrent processing number of each interface by a same variable parameter N to obtain the newly-placed maximum concurrent processing number of each interface is continuously executed; when the real-time concurrent processing number of all the interfaces is smaller than the newly-set maximum concurrent processing number, recording the variable parameter N as a fixed parameter N;
then, dividing the real-time concurrent processing number of each interface by a fixed parameter N to obtain the average real-time concurrent processing number of each interface, namely obtaining the average real-time concurrent processing number of each interface in one server; when the real-time concurrent processing number cannot be divided by the fixed parameter N, the average real-time concurrent processing number is obtained by rounding up the result of dividing the real-time concurrent processing number by the fixed parameter N.
And finally, searching the pressure measurement library according to the average real-time concurrent processing number of each interface, if the searched interface concurrent processing number matched with the average real-time concurrent processing number of each interface is marked as a successful interface concurrent combination mode, setting the number of servers to be expanded to be (N-1), and if the searched interface concurrent combination mode matched with the average real-time concurrent processing number of each interface is marked as a failed interface concurrent combination mode, setting the number of the servers to be expanded to be N based on the processing method marked as the failure for the interface concurrent combination mode searched for the first time.
S150: and starting standby servers with corresponding quantity according to the number of the servers to be expanded, and performing capacity expansion on the system to be managed, so that the sufficient capacity of the system can be ensured.
It should be emphasized that, the number of servers to be expanded is based on a first base server (a server of the system to be managed) as a reference basis, and the reference basis is not changed in the subsequent intelligent capacity management, for example, to avoid resource waste, the number of servers to be expanded can be adjusted in real time subsequently according to the real-time concurrent processing number condition of each interface of the system to be managed, when the number of servers to be expanded at the next moment is less than the data of the servers to be expanded at the previous moment, the standby servers of the corresponding number can be closed, and when the number of servers to be expanded at the next moment is greater than the data of the servers to be expanded at the previous moment, the standby servers of the corresponding number can be opened; the number of the opened or closed standby servers is the difference value between the servers to be expanded at the previous moment and the servers to be expanded at the next moment.
The electronic device provided in the above embodiment first determines all interface concurrent combination modes according to the maximum concurrent processing number of each interface of the system to be managed, performs combined pressure measurement on the system to be managed according to the interface concurrent combination modes, and establishes a pressure measurement library according to the result of the combined pressure measurement; then, retrieving the pressure measurement library according to a real-time interface concurrent combination mode, and judging whether the capacity of the system to be managed is sufficient or not according to a retrieved result; and finally, carrying out capacity expansion on the condition of insufficient capacity. The invention establishes the pressure measurement library for storing the combination performance parameter information in the concurrent combination mode of all the interfaces of the system to be managed through the combination pressure measurement, and can obviously improve the prediction precision of the system capacity; in addition, the number of the servers to be expanded can be automatically acquired through a real-time interface concurrent combination mode and the maximum concurrent processing number of each interface, and the automatic expansion of the system capacity is realized according to the number of the servers to be expanded, so that the real-time capacity management of the system to be managed is realized.
In other embodiments, intelligent capacity management program 73 may also be partitioned into one or more modules that are stored in memory 72 and executed by processor 71 to implement the present invention. The modules referred to herein are referred to as a series of computer program instruction segments capable of performing specified functions. Referring to FIG. 2, a block diagram of a preferred embodiment of the intelligent capacity management program 73 of FIG. 1 is shown. The intelligent capacity management program 73 may be divided into: a pressure measurement library establishing module 74, an interface concurrent combination mode marking module 75, a real-time system capacity sufficiency judging module 76 and a system capacity expanding module 77. The functions or operational steps performed by the modules 74-77 are similar to those described above and will not be described in detail herein, for example, where:
and a pressure measurement library establishing module 74, configured to perform combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed, so as to obtain combined performance parameter information in the concurrent combination mode of each interface of the system to be managed, and establish a pressure measurement library according to the combined performance parameter information in the concurrent combination mode of each interface.
And the interface concurrent combination mode marking module 75 is configured to judge whether the combined performance parameter information in the interface concurrent combination modes is qualified according to the performance parameter information of the historical normal access event, mark the interface concurrent combination mode in the pressure measurement library as successful if the combined performance parameter information in the interface concurrent combination modes is qualified, and mark the interface concurrent combination mode in the pressure measurement library as failed otherwise.
And a real-time system capacity sufficiency determining module 76, configured to determine whether the real-time system capacity of the system to be managed is sufficient according to the production real-time interface concurrent combination mode of the system to be managed and information recorded in the pressure measurement library.
And the system capacity expansion module 77 is configured to, when the real-time system capacity of the system to be managed is insufficient, determine the number of servers to be expanded according to the concurrent combination mode of the real-time interfaces and the retrieved system capacity label, and perform capacity expansion on the system to be managed according to the number of the servers to be expanded.
In addition, the invention also provides an intelligent capacity management method. The method may be performed by an apparatus, which may be implemented by software and/or hardware. In this embodiment, the intelligent capacity management method includes: step S110-step S150.
S110: performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information in a concurrent combination mode of each interface of the system to be managed, and establishing a pressure measurement library according to the combined performance parameter information in the concurrent combination mode of each interface;
the concurrent combination mode of each interface is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode;
s120: judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, otherwise, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed;
the historical normal access event is a historical access event with qualified system performance parameters in the historical access of the system to be managed;
s130: judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library;
the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode;
if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure detection library, judging that the real-time system capacity of the system to be managed is sufficient, otherwise, judging that the real-time system capacity of the system to be managed is insufficient;
s140: if the real-time system capacity of the system to be managed is insufficient, determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of producing the real-time interfaces;
s150: and carrying out capacity expansion on the system to be managed according to the number of the servers to be expanded.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes an intelligent capacity management program, and when executed by a processor, the intelligent capacity management program implements the following operations:
s110: performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information in a concurrent combination mode of each interface of the system to be managed, and establishing a pressure measurement library according to the combined performance parameter information in the concurrent combination mode of each interface;
the concurrent combination mode of each interface is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode;
s120: judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, otherwise, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed;
the historical normal access event is a historical access event with qualified system performance parameters in the historical access of the system to be managed;
s130: judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library;
the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode;
if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure detection library, judging that the real-time system capacity of the system to be managed is sufficient, otherwise, judging that the real-time system capacity of the system to be managed is insufficient;
s140: if the real-time system capacity of the system to be managed is insufficient, determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of producing the real-time interfaces;
s150: and carrying out capacity expansion on the system to be managed according to the number of the servers to be expanded.
The embodiment of the computer readable storage medium of the present invention is substantially the same as the embodiment of the intelligent capacity management method and the electronic device, and will not be described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments. Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent capacity management method applied to an electronic device, the method comprising:
performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information of each interface of the system to be managed in a concurrent combination mode, and establishing a pressure measurement library according to the combined performance parameter information of each interface in the concurrent combination mode;
the concurrent combination mode of each interface is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode;
judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, otherwise, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed;
the historical normal access event is a historical access event with qualified system performance parameters in the historical access of the system to be managed;
judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library;
the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode;
if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure measurement library, judging that the real-time system capacity of the system to be managed is sufficient, otherwise, judging that the real-time system capacity of the system to be managed is insufficient;
if the real-time system capacity of the system to be managed is insufficient, determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of the real-time interface;
and carrying out capacity expansion on the system to be managed according to the number of the servers to be expanded.
2. The intelligent capacity management method according to claim 1, wherein the process of performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed comprises the following steps:
performing mathematical combination on the maximum concurrent processing number of each interface to determine the concurrent combination mode of all the interfaces;
and carrying out combined pressure measurement on the system to be managed according to the interface concurrent combination mode so as to obtain combined performance parameter information under the interface concurrent combination mode.
3. The intelligent capacity management method of claim 1, wherein the combined performance parameters include a combined access time consumption and a combined access error rate; the process of judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified according to the performance parameter information of the historical normal access event comprises the following steps:
acquiring all historical normal access events in all historical access events of a system to be managed, wherein the historical access events, the historical access time consumption and the historical access error rate of the historical access events are stored in a preset historical access database;
acquiring the average time consumption and the average error rate of historical normal access of the historical normal access events;
judging whether the combined access time consumption of the concurrent combined mode of each interface is less than the average historical normal access time consumption and whether the combined access error rate is less than the average historical normal access error rate;
if the combined access time consumption of the interface concurrent combination mode is less than the historical normal access average time consumption and the combined access error rate is less than the historical normal access average error rate, judging that the combined performance parameter information of the interface concurrent combination mode is qualified, otherwise, judging that the combined performance parameter information of the interface concurrent combination mode is unqualified.
4. The intelligent capacity management method of claim 3, wherein the process of obtaining all historical normal access events of the historical access events comprises the steps of:
respectively averaging the historical access time consumption and the historical access error rate of all historical access events in the historical access database to obtain the historical access average time consumption and the historical access average error rate;
setting a normal consumed time correction parameter and a normal error rate correction parameter according to the historical access average consumed time and the historical access average error rate;
judging whether the historical access time consumption of the historical access event is less than the normal time consumption proofreading parameter and whether the historical access error rate is less than the normal error rate proofreading parameter;
if the historical access time consumption of the historical access event is less than the normal time consumption proofreading parameter and the historical access error rate is less than the normal error rate proofreading parameter, recording the historical access event as a historical normal access event and acquiring the historical normal access event.
5. The intelligent capacity management method of claim 4,
the normal time consumption correction parameter is set to be 1.4 times of the average time consumption of the historical visit, and the normal error rate correction parameter is set to be 2 times of the average error rate of the historical visit.
6. The intelligent capacity management method according to claim 1, wherein the situation that the real-time system capacity of the system to be managed is insufficient comprises that an interface concurrent combination mode matched with the production real-time interface concurrent combination mode is not retrieved from the pressure measurement library, and an interface concurrent combination mode which is retrieved from the pressure measurement library and matched with the production real-time interface concurrent combination mode and marked as failure;
if the retrieved interface concurrent combination mode matched with the production real-time interface concurrent combination mode and marked as a failure interface concurrent combination mode, setting the number of the servers to be expanded to 1;
and if the interface concurrent combination mode matched with the production real-time interface concurrent combination mode is not searched in the pressure testing library, determining the number of the servers to be expanded according to the maximum concurrent processing number of each interface and the production real-time interface concurrent combination mode.
7. The intelligent capacity management method according to claim 6, wherein the process of determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of the real-time production interface comprises the following steps:
multiplying the maximum concurrent processing number of each interface by a same variable parameter N to obtain a newly-arranged maximum concurrent processing number of each interface;
comparing the newly-arranged maximum concurrent processing number and the real-time concurrent processing number of each interface;
when the real-time concurrent processing number of any interface is larger than or equal to the newly-arranged maximum concurrent processing number of the interface, adding one to the variable parameter N, and continuously executing the step of obtaining the newly-arranged maximum concurrent processing number of each interface by multiplying the maximum concurrent processing number of each interface by the same variable parameter N;
when the real-time concurrent processing number of all the interfaces is smaller than the newly-set maximum concurrent processing number, recording the variable parameter N as a fixed parameter N;
dividing the real-time concurrent processing number of each interface by the fixed parameter N to obtain the average real-time concurrent processing number of each interface;
and searching the pressure measurement library according to the average real-time concurrent processing number of each interface, if the searched interface concurrent combination mode which is matched with the average real-time concurrent processing number of each interface and is marked as a successful interface concurrent combination mode, setting the number of the servers to be expanded to be (N-1), and if the searched interface concurrent combination mode which is matched with the average real-time concurrent processing number of each interface and is marked as a failed interface concurrent combination mode, setting the number of the servers to be expanded to be N.
8. An electronic device, comprising: a memory, a processor, and an intelligent capacity management program stored in the memory and executable on the processor, the intelligent capacity management program when executed by the processor implementing the steps of:
performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed to acquire combined performance parameter information of each interface of the system to be managed in a concurrent combination mode, and establishing a pressure measurement library according to the combined performance parameter information of each interface in the concurrent combination mode;
the concurrent combination mode of each interface is uniquely determined according to the interface combination mode of the system to be managed and the concurrent processing number condition of each interface in the interface combination mode;
judging whether the combined performance parameter information under the concurrent combination mode of each interface is qualified or not according to the performance parameter information of the historical normal access event, if the combined performance parameter information under the concurrent combination mode of the interfaces is qualified, marking the concurrent combination mode of the interfaces in the pressure measurement library as successful, otherwise, marking the concurrent combination mode of the interfaces in the pressure measurement library as failed;
the historical normal access event is a historical access event with qualified system performance parameters in the historical access of the system to be managed;
judging whether the real-time system capacity of the system to be managed is sufficient or not according to the production real-time interface concurrent combination mode of the system to be managed and the information recorded in the pressure measurement library;
the production real-time interface concurrent combination mode is uniquely determined according to the production real-time interface combination mode and the real-time concurrent processing number condition of each interface in the production real-time interface combination mode;
if an interface concurrent combination mode which is matched with the production real-time interface concurrent combination mode and marked as success is searched in the pressure measurement library, judging that the real-time system capacity of the system to be managed is sufficient, otherwise, judging that the real-time system capacity of the system to be managed is insufficient;
if the real-time system capacity of the system to be managed is insufficient, determining the number of servers to be expanded according to the maximum concurrent processing number of each interface and the concurrent combination mode of the real-time interface;
and carrying out capacity expansion on the system to be managed according to the number of the servers to be expanded.
9. The electronic device according to claim 8, wherein the process of performing combined pressure measurement on the system to be managed according to the maximum concurrent processing number of each interface of the system to be managed comprises the following steps:
performing mathematical combination on the maximum concurrent processing number of each interface to determine the concurrent combination mode of all the interfaces;
and carrying out combined pressure measurement on the system to be managed according to the interface concurrent combination mode so as to obtain combined performance parameter information under the interface concurrent combination mode.
10. A computer readable storage medium, having an intelligent capacity management program stored therein, which when executed by a processor, performs the steps of the intelligent capacity management method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910885670.9A CN110737593B (en) | 2019-09-19 | 2019-09-19 | Intelligent capacity management method, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910885670.9A CN110737593B (en) | 2019-09-19 | 2019-09-19 | Intelligent capacity management method, device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110737593A CN110737593A (en) | 2020-01-31 |
| CN110737593B true CN110737593B (en) | 2022-03-29 |
Family
ID=69269355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910885670.9A Active CN110737593B (en) | 2019-09-19 | 2019-09-19 | Intelligent capacity management method, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110737593B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113407297B (en) * | 2020-03-17 | 2023-12-26 | 中国移动通信集团浙江有限公司 | Container management method and device and computing equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106470219A (en) * | 2015-08-17 | 2017-03-01 | 阿里巴巴集团控股有限公司 | The dilatation of computer cluster and capacity reduction method and equipment |
| CN109213965A (en) * | 2018-08-02 | 2019-01-15 | 平安科技（深圳）有限公司 | A kind of power system capacity prediction technique, computer readable storage medium and terminal device |
| CN109885469A (en) * | 2019-02-27 | 2019-06-14 | 深信服科技股份有限公司 | A kind of expansion method, prediction model creation method, device, equipment and medium |
| CN109933501A (en) * | 2017-12-15 | 2019-06-25 | 中国移动通信集团浙江有限公司 | A kind of capacity evaluating method and device of application system |
| CN110019110A (en) * | 2017-07-28 | 2019-07-16 | 腾讯科技（深圳）有限公司 | A kind of capacity management methods of operation system, device, equipment and operation system |
| CN110113224A (en) * | 2019-03-19 | 2019-08-09 | 深圳壹账通智能科技有限公司 | Capacity monitor method, apparatus, computer equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8869148B2 (en) * | 2012-09-21 | 2014-10-21 | International Business Machines Corporation | Concurrency identification for processing of multistage workflows |
-
2019
- 2019-09-19 CN CN201910885670.9A patent/CN110737593B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106470219A (en) * | 2015-08-17 | 2017-03-01 | 阿里巴巴集团控股有限公司 | The dilatation of computer cluster and capacity reduction method and equipment |
| CN110019110A (en) * | 2017-07-28 | 2019-07-16 | 腾讯科技（深圳）有限公司 | A kind of capacity management methods of operation system, device, equipment and operation system |
| CN109933501A (en) * | 2017-12-15 | 2019-06-25 | 中国移动通信集团浙江有限公司 | A kind of capacity evaluating method and device of application system |
| CN109213965A (en) * | 2018-08-02 | 2019-01-15 | 平安科技（深圳）有限公司 | A kind of power system capacity prediction technique, computer readable storage medium and terminal device |
| CN109885469A (en) * | 2019-02-27 | 2019-06-14 | 深信服科技股份有限公司 | A kind of expansion method, prediction model creation method, device, equipment and medium |
| CN110113224A (en) * | 2019-03-19 | 2019-08-09 | 深圳壹账通智能科技有限公司 | Capacity monitor method, apparatus, computer equipment and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| A Prediction based Capacity Planning Strategy for Virtual Servers;Lang Wang et al.;《2015 IEEE International Conference on Data Science and Data Intensive Systems》;20151231;第1-7页 * |
| Capacity Management and Demand Prediction for Next Generation Data Centers;Daniel Gmach et al.;《2007 IEEE International Conference on Web Services (ICWS 2007)》;20071231;第1-8页 * |
| 基于AWS云计算的社交游戏平台和自动伸缩技术研究;吴海庆;《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》;20160315;第I138-5666页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110737593A (en) | 2020-01-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111522922A (en) | Log information query method and device, storage medium and computer equipment | |
| CN112491602B (en) | Behavior data monitoring method and device, computer equipment and medium | |
| CN109309596B (en) | Pressure testing method and device and server | |
| TW201514686A (en) | Method and system for automated test and result comparison | |
| CN111026647B (en) | Method and device for acquiring code coverage rate, computer equipment and storage medium | |
| CN109491733B (en) | Interface display method based on visualization and related equipment | |
| CN107807841B (en) | Server simulation method, device, equipment and readable storage medium | |
| CN110647471A (en) | Interface test case generation method, electronic device and storage medium | |
| CN111654495B (en) | Method, apparatus, device and storage medium for determining traffic generation source | |
| CN108255509B (en) | Application deployment method, device, equipment and readable storage medium | |
| CN105184156A (en) | Security threat management method and system | |
| CN110737593B (en) | Intelligent capacity management method, device and storage medium | |
| CN116881156A (en) | Automatic test method, device, equipment and storage medium | |
| CN117370162A (en) | Test tool management method, device, equipment and storage medium | |
| CN111638439A (en) | Communication module testing method, device, computer equipment and storage medium | |
| CN116225690A (en) | Memory multidimensional database calculation load balancing method and system based on docker | |
| CN113419949B (en) | Abnormality detection method, device, equipment and storage medium for data processing | |
| CN110838929A (en) | System error checking method and system error checking device | |
| CN114546799A (en) | Point burying log checking method and device, electronic equipment, storage medium and product | |
| CN115080397A (en) | System reliability testing method, device, equipment and storage medium | |
| CN108777648B (en) | Network equipment testing method and device | |
| CN108418827B (en) | Network behavior analysis method and device | |
| CN103902420B (en) | Electronic equipment performance test methods and device | |
| CN112685304A (en) | Front-end information standard checking method, system, device and storage medium | |
| CN116401113B (en) | Environment verification method, device and medium for heterogeneous many-core architecture acceleration card |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |