CN106557353A - A kind of container carries the server performance index Evaluation Method of service application - Google Patents
A kind of container carries the server performance index Evaluation Method of service application Download PDFInfo
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Abstract
The present invention relates to a kind of container carries the server performance index Evaluation Method of service application, its technical characterstic is to comprise the following steps：Step 1, the server performance indicator evaluation system for setting up container carrying service application；Step 2, server CPU, memory size, the evaluation index data of hard disk I/O are obtained in real time from pseudo file system；Step 3, calculation server health score assigning；Step 4, when in three evaluation index data any one scoring or the server health score assigning long period note operation condition of server higher than 80 timesharing prompt system managers；Step 5, the statistical data for showing three evaluation indexes of host computer system, server health score assigning and warning message；Step 6, system manager find out a large amount of containers for consuming system resource and decide whether to eliminate according to scoring and container operation scoring；Step 7, repetition said process.The present invention can realize that container carries the real-time status monitoring of service application process quota and resource overhead.
Description
Technical field
The invention belongs to technical field of server virtualization, especially a kind of container carry the server performance of service application
Index Evaluation Method.
Background technology
At present, a kind of minority that server virtualization has just been adopted from the maximum enterprise of only largest, courage is general
Read, become a requisite part in the daily operation of data center.
But existing server virtualization technology presence still suffers from following defect：
1st, cause client machine system hydraulic performance decline as virtualization layer coordinates resource.
Performance issue is using one of subject matter paid close attention to needed for Intel Virtualization Technology.As virtualization is in client computer and master
Level of abstraction is increased between machine, this will increase the operating delay of client task.
For example, in the case of hardware virtualization, when the bare machine that can be installed holonomic system is simulated, performance reduces returning
Censure in the expense of following activity generation：
Maintain the state of virtual processor；Support privileged instruction (self-trapping and simulation privileged instruction)；Support virtual machine paging；
Console function.
Additionally, when hardware virtualization is realized by the program installed in host operating system or perform, performance drop
Low main cause is that virtual machine manager is performed together and is dispatched with other application programs, so as to share the resource of main frame.
The Intel Virtualization Technology of higher also has similar problem, (Java .NET such as in the case of the virtualization of programming language level
Deng).Binary translation and explanation also reduce the execution speed of application program.Further, since its execution is run environment filtration, visit
Ask that memorizer and other physical resources also result in performance reduction.
2nd, cause main frame there is no optimised use due to virtual management software abstract layer so that host computer rate it is low or
Reduce QoS of customer.
Virtualization sometimes results in the poorly efficient use of main frame.Particularly when the specific function of some main frames can not be by level of abstraction
When representing, and then becoming inaccessible.In hardware virtualization environment, device driver is it is possible that such case, empty
Plan machine is provided solely for the default graphics card for only mapping host machine part characteristic sometimes.In programming level virtual machine environment, some bottoms
Operating system characteristics become inaccessible, except the specific storehouse of non-usage.For example, in Java first versions, graphic programming
Support be very limited amount of, the interface of application program and using feeling excessively poor.
3rd, implicit security breaches and threat, this is due to simulating produced by different performing environments mostly.
New hostile network fishing (phishing) for being difficult to expect has been grown in virtualization, and it can be with fully transparent side
Formula simulation framework environment so that rogue program can extract sensitive information from client computer.
In hardware virtualization environment, rogue program can be pre-installed before operating system, and micro- virtual as one
Machine manager.So the operating system just with controlled system and manipulation, and can therefrom extract sensitive information to third party.This kind of malice
Software includes BluePill and SubVirt.BluePill is directed to AMD processor familys, and the operating system installed is performed shifting
Complete in virtual machine.Microsoft is prototype system with the SubVirt earlier versions of Univ Michigan-Ann Arbor USA R ＆ D Cooperation.
SubVirt affects Client OS, and when virtual machine restarts, it will obtain the control of main frame.This type
The propagation of Malware is because that original hardware and CPU products do not consider virtualization.Existing instruction set can not be by letter
Single change updates to adapt to virtualized demand.
The virtual machine of programming level there is also same problem：The change of running environment can obtain sensitive information or monitoring visitor
The core position used by family application program.So, the initial condition of runtime environment will be changed and be replaced, if virtual machine
The security breaches that there is Malware or host operating system in management program are utilized, it will Jing often occurs safety problem.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided a kind of reasonable in design, resource multiplex ratio and profit
With efficiency high and based on dynamic threshold mode container carry service application server performance index Evaluation Method.
The present invention solves its technical problem and takes technical scheme below to realize：
A kind of container carries the server performance index Evaluation Method of service application, comprises the following steps：
Step 1, the evaluation index for selecting impact server health simultaneously determine each evaluation criterion weight, set up container and carry industry
The server performance indicator evaluation system of business application；
The evaluation index for affecting server health includes：Server CPU, memory size and hard disk；
Step 2, server CPU, memory size, the evaluation index data of hard disk I/O are obtained in real time from pseudo file system
Information；
Step 3, according to it is described affect server health three evaluation indexes and the evaluation index evaluation criteria amount
Calculation server health score assigning；
Step 4, when in three evaluation index data any one scoring or the server health score assigning long period be higher than
80 timesharing prompt system managers note operation condition of server；
Step 5, show that the statistical data of three evaluation indexes of host computer system, server health are commented in system monitoring interface
Divide and warning message；
Step 6, system manager find out a large amount of containers for consuming system resources and determine according to scoring and container operation scoring
It is fixed whether to eliminate；
Step 7, repetition said process.
Advantages of the present invention and good effect are：
1st, the present invention is main study subject for Namespace the and CGroups system mechanisms of structure container technique,
Design tonneau linux kernel characteristic realizes that container carries service application process quota and resource overhead real-time status monitoring, and
Performance relative analyses are carried out as reference object with conventional physical bare machine and all kinds of main flow virtual management systems, is set up based on dynamic
The service application health degree performance indications appraisement system of threshold mode.
2nd, the present invention reaches the purpose for further improving resource multiplex ratio and utilization ratio.
3rd, using linux kernel characteristic, the present invention realizes that container carries the real-time of service application process quota and resource overhead
Condition monitoring.
Specific embodiment
Hereinafter the embodiment of the present invention is described in further detail：
A kind of container carries the server performance index Evaluation Method of service application, comprises the following steps：
Step 1, the evaluation index for selecting impact server health simultaneously determine each evaluation criterion weight, set up container and carry industry
The server performance indicator evaluation system of business application；
The evaluation index for affecting server health includes：Server CPU, memory size and hard disk；
In order to realize the purpose of the reliable and stable operation of application system, a high-quality operation ring for including hardware and systems soft ware
Border is requisite, and several factors such as wherein CPU, memory size, hard disk I/O bandwidth have decisive shadow to running environment
Ring, thus select these deciding factors and add network I/O bandwidth this affect sexual factor carry out comprehensive analysis to assess
The running status of server.
The ultimate principle of Docker performance monitorings is monitored different from conventional virtual machine monitoring mode from container.Tradition
Virtual machine monitoring scheme can obtain index from each server and their applications for running, these servers and operate in
Application on server is typically all static, has very long run time, and container is shown as with certainly on main frame
The process of oneself environment, virtual network and different storage managements, shares the resource of bottom main frame, may on identical main frame
The process of the errorlevel and long-term surviving of short term survival can be dispatched.Therefore the performance monitoring of Docker should be included based on master
The performance indications monitoring of machine and the performance indications based on container monitor two aspects.
1st, Host Based evaluation index
For container, Docker main frames are longtime runnings, therefore the running status of main frame should be supervised
Survey, so that all kinds of resources and disposal ability are managed, are optimized.
Cpu load and internal memory load：The load condition of main frame can be grasped in real time by the monitoring to the two indexs, filled
The ability of main frame is waved in distribution.The change of the two indexs can also be passed through simultaneously, the running status of container is grasped indirectly.When CPU bears
Setting out now drop means that the service of some containers generates interruption, when cpu load exceedes certain greatest measure (such as a long time
90%) illustrate when that the load capacity of main frame is reached the limit of.Occur manager being pointed out to note during above-mentioned two situations.
Host disk space：As host operating system, container, mirror image can all consume disk space, disk space makes
Become one of main frame support container quantity restriction index with situation, periodic cleaning disk control remove the container that do not use and
Mirror image is a kind of good O＆M practice to vacate disk space, to carry more containers.As disk read-write frequency is to process
Or even main frame overall operation situation has significant effect, it is therefore desirable to monitor disk read-write frequency, to avoid in same main frame
The upper application for disposing multiple high disk read-write frequencies causes the situation that main frame blocks.
Operate in the container sum on main frame：Under the scene that static state is used, current and historical number of containers is understood
Us can be helped to guarantee that all of function all has identical running status with deployment before when upgrading.
2nd, the evaluation index based on container
Resource-sharing needs to carry out rational quota to container, and this is required to see making for container resource in turn
Use situation.Therefore the behavior of container is needed to be monitored and carry out corresponding tuning.
Container CPU：The time of the CPU of container always arranges CPU shared base there is provided correct in Docker with figureofmerit
This information.Rising violently for this index means that the CPU disposal abilities required for one or more containers are provided beyond main frame
Limit of power.
The internal memory of container is used, the internal memory of container is exchanged and container memory failure enumerator：The rising meaning of these indexs
Taste the amount of memory of container needs beyond the value distributed for which.By monitoring, container is limited using the upper limit of internal memory come really
Protect application and will not use too many internal memory, so as to avoid having influence on other containers on same main frame.
The disk read-write frequency of container：Multiple containers can concurrently use identical host resource.By monitoring container magnetic
Disk read-write frequency contributes to distributing higher handling capacity to crucial application, such as data storage or Web server, and for batch processing
Operation can then carry out magnetic disc i/o shunting.
The network traffics of container：For inter-related container, monitoring virtual network is very important, is such as held
The load equalizer of device.The packets need of discarding is tracked, and network traffics can reflect client to application
Service condition, if the very high peak value of its appearance, this might mean that and occurs in that Denial of Service attack, load testing or client
End application occurs in that failure.
Step 2, real-time monitoring host system resources and Docker container resource using status, from pseudo file system in real time
Obtain server CPU, memory size, the evaluation index data message of hard disk I/O；
In the present embodiment, Docker containers are mainly run on linux system, therefore the present embodiment is based on 64
The performance monitoring of linux system.
Separately below the monitoring method of host system resources and Docker container resource using status is illustrated respectively：
1st, host system resources use state monitoring method
Linux kernel passes through/proc file system there is provided one kind, operationally accesses kernel internal data structure, changes
Become the mechanism that kernel is arranged.Unlike the file system common from other ,/proc is a kind of pseudo file system, and storage is
A series of special files of current inner running status, user can pass through the relevant system hardware of these Fileviews and it is current just
In the information of operation process, it might even be possible to change the running status of kernel by changing some of which file.
Based on/proc file system particularity as above, the file in which is also often referred to as virtual file, and has
The characteristics of some are unique.For example, although some of which file can return bulk information, file sheet when checking using viewing command
The size of body can but be shown as 0 byte.Additionally, the time and date attribute of most of files is usually worked as in these special files
Front system time and date, this can be refreshed relevant at any time with them.
In order to check and using upper convenience, these files would generally carry out classifying according to dependency and be stored in different mesh
In record even subdirectory, what is stored in such as/proc/scsi catalogues is exactly the relevant information of all scsi devices on current system ,/
What is stored in proc/N is then the relevant information of the process that system is currently running, and wherein N is the process ID being currently running,
After process terminates, its associative directory can then disappear.Simultaneously host computer system resource status of overall importance are by positioned at file under/proc
Represent, the file related to host computer performance monitoring is as follows：
(1)/proc/cpuinfo：The relevant information of host CPU.
Every processor one group of data of correspondence of host computer system, are divided with null between each group of data within this document.Per group
Each data item of divided by row in data, each data item is according to key:Value is organized, and can obtain process type by this file
Number, the information such as dominant frequency, cache sizes.
(2)/proc/diskstats：The magnetic disc i/o statistical information list of every piece of disk unit, kernel 2.5.69 are later
Linux version supports this function.
Data during this file is included divide device data record according to row.Device data by major device number, secondary device number,
Device name and 11 data fields are constituted, and 11 data field implications are as follows：
1) the 1st domain：Read the number of times of disk, successfully complete the total degree of reading.
2) the 2nd domain：Merge and read number of times.
3) the 3rd domain：Read the number of times of sector, the sector total degree successfully read.
4) the 4th domain：Read the millisecond number for spending.
5) the 5th domain：The number of times for writing complete, the total degree for successfully writing complete.
6) the 6th domain：Number of times is write in merging.
7) the 7th domain：The number of times of sector is write, sector total degree is successfully write.
8) the 8th domain：Write the millisecond number of cost.
9) the 9th domain：The current schedules of I/O.When appropriate request queue is given in request, numerical value increases, and request is completed
When numerical value reduce.
10) the 10th domain：Millisecond number of the flower in I/O operation.
11) the 11st domain：Weighting, millisecond number of the flower in I/O operation, starts in each I/O, and I/O terminates, and I/O merges
When this domain can all increase.This can easily measure mark with those offers one that can be accumulated are stored to the I/O deadlines
It is accurate.
(3)/proc/meminfo：In system with regard to present physical internal memory utilization obstacle etc. information.This file is by row
Each data item is divided, each data item is according to key:Value is organized, and obtains master by directly reading and separating desired data item
The each internal memory of machine system is using subitem data.Corresponding with this file ,/proc/swaps files provide the use of main frame swapace
Situation, including the data such as the equipment at the place of swapace, swapace size and consumption.
(4)/proc/net/dev：System shows host computer system network flow statistic information.File is according to title, data side
Formula is organized, and wherein data item includes：
1) bytes represents the byte number of transmitting-receiving；
2) packets represents the correct bag amount of transmitting-receiving；
3) errs represents the bag amount of transmitting-receiving mistake；
4) drop represents the bag amount that transmitting-receiving is abandoned；
(5)/proc/stat：Real-time tracing from system last time startup since system operation statistical information, including
1) eight values after " cpu " row represent the system operation that calculated in units of 1/100 second in user model, low respectively
Priority users pattern, transports the statistical value of system model, idle pulley, the time of I/O standby modes etc.；
2) " intr " row provides the information of interruption, first be since the system start-up, all of interruption of generation time
Number；Then per number, correspondence one is specific interrupts the number of times occurred since the system start-up；
3) " ctxt " has given the number of times of the context swap that CPU occurs since the system start-up.
4) " btime " gives the time from system start-up till now, and unit is the second；
5) the individual number of the task created since the system start-up by " processes "；
6)“procs_running”：The number of the task of current operation queue；
7)“procs_blocked”：The number of current blocked task；
As the CPU state be given in/proc/stat is the cumulative data from after system start-up, therefore cannot be therefrom straight
Connect reading CPU usage, it is necessary to which CPU usage is calculated by CPU snapshot datas between two time intervals.CPU usage meter
Calculation method is as follows：
The Cpu snapshots of step (1), two time intervals short enough of sampling, are denoted as t1, t2, the wherein knot of t1, t2 respectively
Structure is 9 tuples of (user, nice, system, idle, iowait, irq, softirq, stealstolen, guest)；
Total Cpu timeslices totalCpuTime of step (2), calculating；
A) primary all cpu service conditions are sued for peace, obtains s1；
B) secondary all cpu service conditions are sued for peace, obtains s2；
C) s2-s1 obtains all timeslices in this time interval, i.e. Total=s2-s1；
Step (3), computation-free time idle；
A) data of idle correspondences idle row, first time idle are designated as idle1, and second idle is designated as idle2；
B) idle=idle2-idle1；
Step (4), calculating cpu utilization rates；
A) pcpu=100* (total-idle)/total
By reading the data in above-mentioned file in real time, it is possible to achieve main to host CPU, internal memory, network, magnetic disc i/o etc.
Want the monitoring of resource behaviour in service.
2nd, the monitoring method of Docker containers resource using status
Docker containers rely on cgroups, can follow the trail of container process, CPU, internal memory, block IO, network by cgroups
The metric of service condition.Data are come out by a pseudo file system with/similar groups of proc,
Cgroups be located at operating system /sys/fs/cgroup catalogues under, and under which, have multiple subdirectories to represent distinct device resource
Cgroups levels.For each container that Docker is currently running, all can have under cgroups each level one it is literary
Part catalogue is corresponded to therewith, long ID (16 binary values of 64 bit lengths) of the directory name for container.And these subdirectories are with container
Operation and create, disappear with the extinction of container.
The all internal memory metrics for being currently running middle docker containers can be in/sys/fs/cgroup/memory/
docker/<long_id>Obtain under catalogue, CPU metrics can be in/sys/fs/cgroup/cpuacct/docker/<
long_id>Obtain under catalogue, magnetic disc i/o metric is in/sys/fs/cgroup/blkio/docker/<long_id>Catalogue
Lower acquisition, wherein<long_id>It is the long ID of container.
(1) container uses memory situations：
Memory.stats information is checked from the cgroup groups of container place, each data item is according to key:Value is organized,
The information of key data item is as follows：
1)Cache：Caching of page, including tmpfs (shmem), unit is byte
2) Rss is anonymous and swap is cached, and not including tmpfs (shmem), unit is byte
3)Mapped_file：The file size of memory-mapped mappings, including tmpfs (shmem), unit is byte
4)Pgpgin：The number of pages being stored in internal memory
5)Pgpgout：The number of pages read from internal memory
6)Swap：Swap consumptions, unit are byte
7)Active_anon：Hideing in active least recently used (least-recently-used, LRU) list
Name and swap cachings, including tmpfs (shmem), unit is byte
8)Inactive_anon：Anonymity and swap caching in sluggish LRU list, it is including tmpfs (shmem), single
Position is byte
9)Active_file：The file-backed internal memories in LRU list are enlivened, in units of byte
10)Inactive_file：File-backed internal memories in inactive LRU list, in units of byte
11)Unevictable：The internal memory that cannot be regenerated, in units of byte
12)hierarchical_memory_limit：The internal memory of the level comprising memory cgroup is limited, and unit is
Byte；
(2) container uses magnetic disc i/o situation：
Disk io situations are obtained from blkio, and under this catalogue, each data item is organized as an independent file respectively,
The data item that each file is included is as follows：
1)Blkio.time：Statistics access times of the cgroup to equipment；
2)blkio.io_serviced：Statistics cgroup (includes read, write, sync to the I/O operation of particular device
And async) number of times；
3)blkio.sectors：Cgroup is to equipment sector access times for statistics；
4)blkio.io_service_bytes：Statistics cgroup to particular device I/O operation (including read, write,
Sync and async) data volume；
5)blkio.io_queued：Statistics cgroup queue in I/O operation (include read, write, sync and
Async request number of times)；
6)blkio.io_service_time：Statistics cgroup to the I/O operation of particular device (including read, write,
Sync and async) time (unit is ns)；
7)blkio.io_merged：Statistics cgroup by BIOS request be merged into I/O operation (including read, write,
Sync and async) number of times asked；
8)blkio.io_wait_time：Statistics cgroup in each equipment all types of I/O operations (including read, write,
Sync and async) waiting time (unit ns) in queue；
(3) container uses network bandwidth situation：
/sys/fs/cgroup/net_cls/docker/<long_id>The container that catalogue storage cgroup is automatically generated
(4) container uses CPU situations：
/sys/fs/cgroup/cpuacct/docker/<long_id>The container that catalogue storage cgroup is automatically generated makes
With the report of cpu resource situation.Wherein cpuacct.stat files have counted process User space and kernel state in the control group
Cpu usage amounts, unit is USER_HZ, that is, the ticking number of jiffies, cpu.Ticking number per second can use getconf
CLK_TCK obtaining, typically 100.The Main Resources that corresponding container can be obtained by data are read from these files make
With situation, so as to realize the monitoring to docker container resource service conditions.
Step 3, according to it is described affect server health three evaluation indexes and the evaluation index evaluation criteria amount
Calculation server health score assigning；
, by the way of weighting scale assessment, evaluation criteria scale is as follows for host computer system evaluation criteria：
In table, virtual memory exchange=virtual memory page importing+virtual memory page is derived.
In the present embodiment, it is contemplated that the different application systems that server is carried to the needs of above three evaluation index not
Together, thus server comprehensive health scoring carried out by the way of three weighted scorings, the lower clothes of server health score assigning score value
Business device running status is better.
Server health score assigning=((a1*CPU scorings)+(scoring of a2* internal memories)+(scoring of a3* hard disks))/(a1+a2+a3)
CPU scores：The percentages of the CPU treating capacities shared by busy timeslice.
Internal memory scores：With 10 page/second of single core cpu as the percentages of 100 points of calculating.
Hard disk scores：Exchanged with IO 50% is waited as 100 points of percentages for calculating.
A1, a2, a3 are the weight coefficient of three key factors, and this data can be preset by system manager.
System manager can be according to server health score assigning and the appearance of the different adjustment Docker of three evaluation index scorings
Device is disposed, it is to avoid the application for consuming same class resource is deployed in same Docker, is reached and is made full use of system resource
Purpose.Represent that this evaluation index is disappeared when the scoring of a certain evaluation index is higher relatively low server health score assigning
The resource of consumption is excessive, should cancel the corresponding application system container of deployment and replace with the application system that other evaluation indexes score relatively low
System.
Step 4, when in three evaluation index data any one scoring or the server health score assigning long period be higher than
80 timesharing prompt system managers note operation condition of server；
Step 5, show that the statistical data of three evaluation indexes of host computer system, server health are commented in system monitoring interface
Point and the data such as warning message；
Step 6, system manager find out a large amount of containers for consuming system resources and determine according to scoring and container operation scoring
It is fixed whether to eliminate；
In the present embodiment, the application system for determining to be eliminated by the assessment to the health status using software container is held
Device.Its assessment mode is individual event factor Ranking evaluation, i.e., the resource such as CPU, memory size, hard disk I/O bandwidth to container consumption
In it is a certain be ranked up, to find out the maximum container of system resources consumption amount corresponding to a certain key factor and be eliminated.
Superseded mode is eliminated manually for system manager, so that system manager possesses the final decision of superseded container.
Step 7, repetition said process.
It is emphasized that embodiment of the present invention is illustrative, rather than it is determinate, therefore present invention bag
The embodiment for being not limited to described in specific embodiment is included, it is every by those skilled in the art's technology according to the present invention scheme
The other embodiment for drawing, also belongs to the scope of protection of the invention.
Claims (1)
1. a kind of container carries the server performance index Evaluation Method of service application, it is characterised in that：Comprise the following steps：
Step 1, the selected evaluation index for affecting server health simultaneously determine each evaluation criterion weight, and setting up container carrying business should
Server performance indicator evaluation system；
The evaluation index for affecting server health includes：Server CPU, memory size and hard disk；
Step 2, server CPU, memory size, the evaluation index data message of hard disk I/O are obtained in real time from pseudo file system；
Step 3, according to it is described affect server health three evaluation indexes and the evaluation index evaluation criteria amount calculate
Server health score assigning；
Step 4, when in three evaluation index data any one scoring or the server health score assigning long period be higher than 80 points
When prompt system manager note operation condition of server；
Step 5, the statistical data that three evaluation indexes of host computer system are shown in system monitoring interface, server health score assigning with
And warning message；
Step 6, system manager find out the containers of consumption system resources in a large number according to scoring and container operation scoring and decision is
It is no to eliminate；
Step 7, repetition said process.
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| CN112559129A (en) * | 2020-12-16 | 2021-03-26 | 西安电子科技大学 | Device and method for testing load balancing function and performance of virtualization platform |
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