CN104461832B - A kind of method and device for monitoring application server resource - Google Patents
A kind of method and device for monitoring application server resource Download PDFInfo
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Abstract
The invention provides a kind of method and device for monitoring application server resource, wherein method includes：The performance of application server is tested to the concurrent operations of operation system according to practical business situation analog subscriber；During application server carries out performance test, the first resource for collecting Java Virtual Machine operation by JVM monitoring modules uses data, and the Secondary resource for collecting application server host by host resource monitoring module uses data；Macro or mass analysis is carried out using data using data and Secondary resource to first resource, the data parameters of influence application server performance are drawn.The present invention improves the time of application server Performance tuning and accuracy reminder application server attendant is adjusted to relevant system parameters, or is adjusted by automated manner, so as to reach the purpose of optimization application server performance.
Description
Technical field
The present invention relates to the side of the application server technology in middleware Technology, more particularly to monitoring application server resource
Method and device.
Background technology
Middleware (Middleware) is that it shields bottom operation in the software between operating system and application program
The complexity of system, makes application developer in face of a simple, unified development environment, to reduce the complexity of programming
Property, it is primarily focused in business, it is not necessary to spend all brains for transplanting of the program on different system software, and reduce software
Overlapping development so that simplify software development process, shorten the construction cycle, while decrease system maintenance, operation and manage
The workload of reason, while also reducing the input of the overall expenses of computer application.
Middleware is listed as three big basic softwares with operating system, database.Middleware will be not only realized between them
Interconnection, also to realize interoperability between they and application.The core of middleware Technology is application server
(Application Server).With developing rapidly for information technology and Internet technology, the complicated journey of enterprise operation system
Degree and portfolio are sharply increased.In order to simplify the development amount of application software, application server is widely used.Wherein,
Java platform enterprise version (JEE, Java Platform Enterprise Edition) application server, be enterprise-level it is large-scale,
Exploitation, deployment, operation and the management of huge application software provide strong instrument and platform.
At present, the performance issue of JEE application servers annoyings developer and the JEE application services of service application always
The attendant of device.JEE application servers are general itself all to carry Java Virtual Machine (JVM, Java Virtual Machine)
Monitoring module, some third party's developing instruments also accordingly support the monitoring to JEE application servers, such as Java development kits
Two instruments Jconsole and Jvisualvm that (JDK, Java Developer's Kit) is carried.But, due to JEE applications
The JVM of server is operated on operating system platform, therefore these above-mentioned instruments can only be realized and system CPU, internal memory and JVM are transported
The monitoring of capable class, thread and Java databases connection (JDBC, Java DataBase Connection), and can not realize pair
The monitoring of system disk and Internet resources.Monitoring resource instrument Spotlight be able to be realized to the real-time of server system resources
Monitor, but its host resource that can not be monitored to JVM is monitored.
Accordingly, it is desirable to provide a kind of method for monitoring application server resource, can by JVM, Java monitoring modules with
The function of both Spotlight monitoring tools is organically combined, to improve the machine being monitored to the resource of JEE application servers
Energy and efficiency, so as to reach the purpose of optimization JEE application server performances.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of method and device for monitoring application server resource, can
Improve the function and efficiency being monitored to the resource of JEE application servers.
In order to solve the above-mentioned technical problem, the invention provides a kind of device for monitoring application server resource, including according to
Performance test module, JVM monitoring modules and the performance evaluation module of secondary connection；In addition, also include respectively with performance test mould
Block and the host resource monitoring module of performance evaluation module connection, wherein：
Performance test module, for being answered according to practical business situation analog subscriber to test the concurrent operations of operation system
With the performance of server；
JVM monitoring modules, the when Java Virtual Machine is run during the performance test for collecting application server
One resource uses data, and exports and give performance evaluation module；
Host resource monitoring module, application server host during the performance test for collecting application server
Secondary resource uses data, and exports and give performance evaluation module；
Performance evaluation module, collect point using data and Secondary resource for the first resource to input using data
Analysis, draws the data parameters of influence application server performance.
Further, performance evaluation module provides resource according to the data parameters of the influence application server performance drawn and made
Statistics icon shows.
Further, performance evaluation module provides performance according to the data parameters of the influence application server performance drawn and adjusted
Excellent suggestion.
Further,
First resource during the Java Virtual Machine operation that JVM monitoring modules are collected includes CPU, internal memory, thread using data
Pond, the one or more of Java database connection pools；
The Secondary resource for the application server host that host resource monitoring module is collected includes disk, read-write I/ using data
O and the network bandwidth one or more.
Further,
Performance evaluation module is calculated according to the resource distributed for the Java Virtual Machine with first resource using data,
The utilization rate of first resource when drawing JVM operations；Resource and Secondary resource according to being distributed for application server host use number
According to being calculated, the Secondary resource utilization rate of application server host is drawn；Then the utilization rate of comprehensive analysis first resource and
The utilization rate of Secondary resource draws the data parameters of influence application server performance.
In order to solve the above-mentioned technical problem, the invention provides a kind of method for monitoring application server resource, including：
The performance of application server is tested to the concurrent operations of operation system according to practical business situation analog subscriber；
During application server carries out performance test, Java Virtual Machine operation is collected by JVM monitoring modules
First resource uses data, and the Secondary resource for collecting application server host by host resource monitoring module uses data；
Macro or mass analysis is carried out using data using data and Secondary resource to first resource, influence application server is drawn
The data parameters of energy.
Further, this method also includes：
The statistics icon shows that resource is used are provided according to the data parameters of the influence application server performance drawn.
Further, this method also includes：
The Performance tuning suggestion of application server is provided according to the data parameters of the influence application server performance drawn.
Further, the first resource for the Java Virtual Machine operation collected by JVM monitoring modules using data include CPU,
Internal memory, thread pool, the one or more of Java database connection pools；Application server host is collected by host resource monitoring module
Secondary resource using data include disk, read-write I/O and the network bandwidth one or more.
Further, Macro or mass analysis is carried out using data using data and Secondary resource to first resource, show that influence should
With the data parameters of server performance, specifically include：
Resource according to being distributed for the Java Virtual Machine is calculated with first resource using data, show that JVM is run
When first resource utilization rate；Resource and Secondary resource according to being distributed for application server host are calculated using data,
Draw the Secondary resource utilization rate of application server host；
The utilization rate of comprehensive analysis first resource and the utilization rate of Secondary resource draw the number of influence application server performance
According to parameter.
The present invention is realized by JVM monitoring modules and host resource monitoring module runs resource to JEE application servers
Overall monitor, the problem of influence JEE application server performances are drawn by the analyzing and processing of performance evaluation module parameter, whole prison
Control process reduces the artificial time for collecting supplemental characteristic analysis, improves to time of JEE application server performance tunings simultaneously
Remind JEE that application server attendant is adjusted to relevant system parameters exactly, or adjusted by automated manner
It is whole, so as to reach the purpose of optimization JEE application server performances.
Brief description of the drawings
Fig. 1 is the building-block of logic of the device embodiment of the monitoring application server resource of the present invention；
Fig. 2 is the flow chart of the embodiment of the method for the monitoring application server resource of the present invention.
Embodiment
Technical scheme is set forth in preferred embodiment below in conjunction with the accompanying drawings.It should be understood that with
Under the embodiment enumerated be merely to illustrate and explain the present invention, without constituting the limitation to technical solution of the present invention.
Fig. 1 illustrates the logical construction of the device embodiment of the monitoring application server resource of the present invention, including connects successively
Performance test module, JVM monitoring modules and the performance evaluation module connect, in addition to respectively with performance test module and performance point
The host resource monitoring module of module connection is analysed, wherein：
Performance test module, for being answered according to practical business situation analog subscriber to test the concurrent operations of operation system
With the performance (also referred to as pressure test) of server；
JVM monitoring modules, the when Java Virtual Machine is run during the performance test for collecting application server
One resource uses data, and exports and give performance evaluation module；
Host resource monitoring module, application server host during the performance test for collecting application server
Secondary resource uses data, and exports and give performance evaluation module；
Performance evaluation module, collect point using data and Secondary resource for the first resource to input using data
Analysis, draws the data parameters of influence application server performance；Data parameters according to drawing provide Performance tuning suggestion and/or to
Go out the statistics icon shows that resource is used.
In said apparatus embodiment,
First resource during the Java Virtual Machine operation that JVM monitoring modules are collected includes CPU, internal memory, thread using data
Pond, the one or more of Java database connection pools；
The Secondary resource for the application server host that host resource monitoring module is collected includes disk, read-write I/ using data
O and the network bandwidth one or more.
In said apparatus embodiment,
Performance evaluation module is calculated according to the resource distributed for Java Virtual Machine and first resource using data, is drawn
The utilization rate of first resource when JVM is run；According to the host assignment for JEE application servers (hereinafter referred to as application server)
Resource calculated with Secondary resource using data, draw the Secondary resource utilization rate of main frame；Then comprehensive analysis first is provided
The utilization rate in source and the utilization rate of Secondary resource draw the data parameters of influence application server performance.
The runnability of JEE application servers depends on the whether reasonable of JVM resource allocations, meanwhile, the money that JVM can be distributed
Source again relies on host resource.Therefore JEE application services can just be optimized well by having grasped JVM and the service condition of host resource
Device, below exemplified by illustrate the implementation process of this method：
Assuming that case environment JEE application servers are operated on the main frame of 32G internal memories, wherein network environment is 100,000,000 nets,
Meanwhile, distribute to the interior of JVM operations and save as 2G, other resource informations are skipped over.
First, pressure test is carried out to the JEE application servers for needing tuning by performance test module；Mould is monitored by JVM
Block obtain that first resource data Java Virtual Machine uses in save as 1.9G, Secondary resource number is obtained by host resource monitoring module
According to the main frame of JEE application servers use in save as 4G, the network bandwidth take 98M.
Then show that JVM memory usages are 95% by performance evaluation module analysis first resource, analysis Secondary resource is obtained
It is 12.5% to go out host memory utilization rate, and network bandwidth utilization rate is 98%.If pre-setting each resource utilization early warning
(early warning value is the limitation of resource utilization percentage value to value, if the early warning value is exceeded, and there is influence JEE application server performances
Risk), wherein internal memory early warning value be 90%, network bandwidth early warning value be 95%；Show that JVM internal memories are used according to data above
Rate exceedes internal memory early warning value (95%>90%), network bandwidth utilization rate exceedes network bandwidth early warning value (98%>95%), thus
Obtain influenceing two specific data parameters of performance：JVM low memories and the network bandwidth are limited.
There is the risk of internal memory spilling for above-mentioned JVM low memories, then need to distribute to the more internal memories of JVM, but close
Key is to need to distribute to the how many internal memories of JVMWherein JVM internal memories, which are divided into, distributes to the heap memory that the application program of operation is used
(Heap Memory) and run JVM itself non-heap memory (Non-heap Memory), for the two again this how to enter respectively
Row distributionHere, performance evaluation module needs to integrate the memory value and internal memory service condition of JVM memory value and main frame, one
Aspect, JVM low memories, JVM memory usages 95%, which exceed early warning value, to be needed to increase JVM internal memories；On the other hand, also need to determine
Whether main frame has memory source to distribute to JVM, and host memory utilization rate is 12.5%, illustrates that host memory is sufficient, thus
The more internal memories of JVM can be distributed to；On the other hand, JVM can normal work, can thereby determine that non-heap memory is temporarily enough, then
The value of heap memory can be increased, to reach the purpose of optimization JEE application servers, it follows that first suggestion " JVM of tuning
Memory usage reaches 95%, please increase JVM heap memory value ".
There is the risk that network congestion causes application server performance to decline for the network bandwidth is limited, due to the network bandwidth
It is the resource of whole main frame, it is impossible to it is determined that should specifically distribute to the much bandwidth of application server.For above-mentioned case environment, obtain
Network bandwidth utilization rate 98%, has resulted in serious network blockage, if at this moment knowing, the current network bandwidth of main frame is 100,000,000 nets,
Can be by network upgrade gigabit, so as to draw the Article 2 suggestion " network bandwidth is limited, and please change kilomega network " of tuning；If knowing master
The current network bandwidth of machine has been kilomega network, then can show that corresponding tuning suggestion " solves network by compressing file means
Block ".
Resource is obtained according to data resources such as resource utilizations and uses statistics icon, normal resource such as thread, JDBC, disk
I/O etc. shows that problem resource internal memory, network bandwidth etc. are shown with red chart with green chart, and provides building for above-mentioned tuning
View.
The present invention is directed to said system embodiment, and the method for correspondingly additionally providing monitoring application server resource is implemented
Example, its flow is as shown in Fig. 2 comprise the following steps：
110：The property of application server is tested to the concurrent operations of operation system according to practical business situation analog subscriber
Energy；
120：During JVM monitoring modules and host resource monitoring module collect the performance test of application server respectively
The first resource of JVM operations uses data using the Secondary resource of data and application server host；
First resource during the Java Virtual Machine operation that JVM monitoring modules are collected includes CPU, internal memory, thread using data
Pond, the one or more of Java database connection pools；
The Secondary resource for the application server host that host resource monitoring module is collected includes disk, read-write I/ using data
O and the network bandwidth one or more.
130：Macro or mass analysis is carried out using data using data and Secondary resource to first resource, influence application service is drawn
The data parameters of device performance.
Above method embodiment also includes：
Data parameters according to influence application server performance is drawn provide Performance tuning suggestion and/or provide resource and use
Statistics icon shows.
In this step, calculated, drawn using data according to the resource and first resource distributed for Java Virtual Machine
The utilization rate of first resource when JVM is run；Data are used according to the resource of the host assignment for application server and Secondary resource
Calculated, draw the Secondary resource utilization rate of main frame；Then the utilization rate of comprehensive analysis first resource and Secondary resource make
The data parameters of influence application server performance are drawn with rate.
The present invention realizes that application server runs the comprehensive of resource by JVM monitoring modules and host resource monitoring module
Monitoring, the problem of drawing influence application server performance by the analyzing and processing of performance evaluation module parameter, entirely monitors process
The artificial time for collecting supplemental characteristic analysis is reduced, time and the accuracy of application server Performance tuning is improved.
Claims (8)
1. it is a kind of monitor application server resource device, including be sequentially connected performance test module, JVM monitoring modules and
Performance evaluation module；Characterized in that, also including the host resource being connected respectively with performance test module and performance evaluation module
Monitoring module, wherein：
Performance test module, for being tested the concurrent operations of operation system using clothes according to practical business situation analog subscriber
The performance of business device；
JVM monitoring modules, the first money when Java Virtual Machine is run during the performance test for collecting application server
Source uses data, and exports and give performance evaluation module；
Host resource monitoring module, the second of application server host during the performance test for collecting application server
Resource uses data, and exports and give performance evaluation module；
Performance evaluation module, Macro or mass analysis is carried out for the first resource to input using data and Secondary resource using data,
Draw the data parameters of influence application server performance；
First resource during the Java Virtual Machine operation that the JVM monitoring modules are collected includes CPU, internal memory, thread using data
Pond, the one or more of Java database connection pools；
The Secondary resource for the application server host that the host resource monitoring module is collected includes disk, read-write I/ using data
O and the network bandwidth one or more.
2. according to the device described in claim 1, it is characterised in that the performance evaluation module should according to the influence drawn
The statistics icon shows that resource is used are provided with the data parameters of server performance.
3. according to the device described in claim 1, it is characterised in that the performance evaluation module should according to the influence drawn
Performance tuning suggestion is provided with the data parameters of server performance.
4. according to the device described in any one of claims 1 to 3, it is characterised in that
The performance evaluation module is calculated according to the resource distributed for the Java Virtual Machine with first resource using data,
The utilization rate of first resource when drawing JVM operations；Resource according to being distributed for the application server host makes with Secondary resource
Calculated with data, draw the Secondary resource utilization rate of the application server host；Then comprehensive analysis first resource
Utilization rate and the utilization rate of Secondary resource draw the data parameters of influence application server performance.
5. a kind of method for monitoring application server resource, including：
The performance of application server is tested to the concurrent operations of operation system according to practical business situation analog subscriber；
During application server carries out performance test, the first of Java Virtual Machine operation is collected by JVM monitoring modules
Resource uses data, and the Secondary resource for collecting application server host by host resource monitoring module uses data；
Macro or mass analysis is carried out using data using data and Secondary resource to first resource, influence application server performance is drawn
Data parameters；
The first resource for the Java Virtual Machine operation collected by JVM monitoring modules using data include CPU, internal memory, thread pool,
The one or more of Java database connection pools；The Secondary resource for collecting application server host by host resource monitoring module makes
Include the one or more of disk, read-write I/O and the network bandwidth with data.
6. in accordance with the method for claim 5, in addition to：
The statistics icon shows that resource is used are provided according to the data parameters of the influence application server performance drawn.
7. in accordance with the method for claim 5, in addition to：
Built according to the Performance tuning that the data parameters of the influence application server performance drawn provide the application server
View.
8. according to the method described in any one of claim 5 to 7, it is characterised in that described to use data and the to first resource
Two resources carry out Macro or mass analysis using data, draw the data parameters of influence application server performance, specifically include：
Resource according to being distributed for the Java Virtual Machine is calculated with first resource using data, the when drawing JVM operations
The utilization rate of one resource；Resource according to being distributed for the application server host is calculated with Secondary resource using data,
Draw the Secondary resource utilization rate of the application server host；
The utilization rate of comprehensive analysis first resource and the utilization rate of Secondary resource draw the number of the influence application server performance
According to parameter.
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| CN105656698B (en) * | 2016-03-24 | 2019-03-19 | 鞠洪尧 | A kind of network application system intelligent monitoring structure and method |
| CN107066372A (en) * | 2017-03-03 | 2017-08-18 | 九次方大数据信息集团有限公司 | Backstage resource monitoring method and device in system performance testing |
| CN108874546B (en) * | 2018-06-26 | 2021-09-28 | 郑州云海信息技术有限公司 | Linux system and method for optimizing resource use |
| CN112905418A (en) * | 2021-03-02 | 2021-06-04 | 湖南快乐阳光互动娱乐传媒有限公司 | JVM (JVM) tuning method and device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853206A (en) * | 2010-06-18 | 2010-10-06 | 北京九合创胜网络科技有限公司 | Software performance detection method and device |
| CN103106134A (en) * | 2011-11-10 | 2013-05-15 | 阿里巴巴集团控股有限公司 | Detecting method, device and system for performance deficiency |
| CN103186412A (en) * | 2011-12-31 | 2013-07-03 | 北京新媒传信科技有限公司 | Performance optimization method based on JVM (java virtual machine) server |
| DE202013102179U1 (en) * | 2012-12-25 | 2013-08-01 | Kaspersky Lab, Zao | System to detect malicious code executed by a virtual machine |
| CN103577328A (en) * | 2013-11-20 | 2014-02-12 | 北京奇虎科技有限公司 | Method and device for analyzing performance of application |
| CN103729254A (en) * | 2013-12-31 | 2014-04-16 | 国网山东省电力公司 | Virtual server Virtual CPU resource monitoring and dynamic allocation method |
| CN103955423A (en) * | 2013-12-25 | 2014-07-30 | 中软信息系统工程有限公司 | Test evaluation method of domestic JVM (Java Virtual Machine) |
-
2015
- 2015-01-07 CN CN201510007538.XA patent/CN104461832B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853206A (en) * | 2010-06-18 | 2010-10-06 | 北京九合创胜网络科技有限公司 | Software performance detection method and device |
| CN103106134A (en) * | 2011-11-10 | 2013-05-15 | 阿里巴巴集团控股有限公司 | Detecting method, device and system for performance deficiency |
| CN103186412A (en) * | 2011-12-31 | 2013-07-03 | 北京新媒传信科技有限公司 | Performance optimization method based on JVM (java virtual machine) server |
| DE202013102179U1 (en) * | 2012-12-25 | 2013-08-01 | Kaspersky Lab, Zao | System to detect malicious code executed by a virtual machine |
| CN103577328A (en) * | 2013-11-20 | 2014-02-12 | 北京奇虎科技有限公司 | Method and device for analyzing performance of application |
| CN103955423A (en) * | 2013-12-25 | 2014-07-30 | 中软信息系统工程有限公司 | Test evaluation method of domestic JVM (Java Virtual Machine) |
| CN103729254A (en) * | 2013-12-31 | 2014-04-16 | 国网山东省电力公司 | Virtual server Virtual CPU resource monitoring and dynamic allocation method |
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