CN102609351A - Method, equipment and system for analyzing system performance - Google Patents
Method, equipment and system for analyzing system performance Download PDFInfo
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Abstract
An embodiment of the invention provides a method, equipment and a system for analyzing system performance. The method for analyzing system performance includes: acquiring data information, which indicates various system resources consumed by one or more sub-objects in an assigned target in a certain time when the assigned target is called, of the assigned target in a certain time; computing performance attribute of each sub-object in the multiple sub-objects according to the data information and indicating the performance attribute by statistical results of data information of the sub-object; and analyzing system resources occupied by each sub-object on the basis of the performance attribute. Accordingly, resource occupancy conditions of each sub-object in the assigned target can be provided microcosmically, more accurate data of system performance occupancy rate is provided, users can identify system hot spots quickly and accurately, and system performance can be optimized conveniently.
Description
Technical field
The embodiment of the invention relates to computer realm, and more specifically, relates to the method and apparatus of the performance that is used for analytic system.
Background technology
When program is moved in computer system, can't know generally speaking where cpu resource is depleted to, this brings very big difficulty for system is optimized.In order to address this problem, computer industry develops and performance analysis (profiling) technology, comes the analytic system resource consumption by this method wherein.
Modern performance analysis technology mainly comprises two types: plug-in mounting (instrumenting) and sampling (sampling).The former can all gather the behavior of system, and the latter is the part collection.
The plug-in mounting technology is in target program, to insert instruction, to obtain the performance of system.The Gprof software of industry for example; It obtains the information of each analysis object (referring generally to function) then to target program total system plug-in mounting; Like duration, number of times etc., total system carries out object merging (information of object of the same name merges, and is generally totally, average etc.) then; Calculate ratio separately, can find that the CPU of each object in goal systems consumes situation.Wherein, " object of the same name " can be the identical object of key element that wherein is used to identify object, key elements such as identifier (ID), function name for example, thus can merge according to each key element, also can wait in addition to merge according to duration, number of times.But; The plug-in mounting technology is analyzed business proportion based on the shared ratio of exclusive object under the business; Can't split and utilize public function, can only provide the result of system performance analysis, therefore will have a strong impact on analytical accuracy more after a little while at exclusive object proportion from macroscopic perspective.
Sampling techniques change based on the state-event of certain system comes acquisition system information, as based on time-sampling, based on 10,000 samplings of the every generation of Cachemiss (cache is miss), based on loading per 20,000 secondary data sampling or the like.What Sampling techniques were obtained is the partial information in system's whole service process.The information of being gathered can be come classification analysis according to function, thread or process, to obtain ratio separately, optimizes thereby instruct.But when SF was too much, like 100 samplings of the every generation of Cachemiss, thereby its parsing program itself can serious consume system resources cause data insincere.In addition, Sampling techniques can only provide the result of system performance analysis from macroscopic perspective equally, and can't obtain the information of institute's data carried by data stream, also just can't analyze from operational angle.
Summary of the invention
The embodiment of the invention provides a kind of method and apparatus that is used for the performance of analytic system, can analyze to each specified target object, so that the occupation condition of each sub-objects in each specified target object to be provided respectively from microcosmic angle.
An aspect according to the embodiment of the invention; A kind of method that is used for the performance of analytic system is provided; Comprise: in said system operational process; Gather the data message of specified target object in a period of time, said data message is illustrated in the sorts of systems resource that one or more subobjects of comprising in the said destination object in said a period of time are consumed when said destination object is called; Come to calculate respectively the attribute of performance of each subobject in said one or more subobject according to said data message, said attribute of performance is represented with the statistics of the data message of this subobject; And analyze the shared system resource of each subobject in said one or more subobject based on said attribute of performance.
Another aspect according to the embodiment of the invention; A kind of equipment that is used for the performance of analytic system is provided; Comprise: acquisition component; Be used for gathering the data message of specified target object in a period of time at said system operational process, said data message is illustrated in the sorts of systems resource that one or more subobjects of comprising in the said destination object in said a period of time are consumed when said destination object is called; Calculating unit is used for to calculate respectively according to said data message the attribute of performance of each subobject of said one or more subobjects, and said attribute of performance is represented with the statistics of the data message of this subobject; And analysis component, be used for analyzing the shared system resource of each subobject of said one or more subobjects based on said attribute of performance.
Another aspect according to the embodiment of the invention provides a kind of performance analysis system, comprises that goal systems to be analyzed and aforesaid is used to analyze the equipment of the performance of said goal systems.
According to the embodiment of the invention; Because only analyze and provide the occupation condition of each subobject in this specified target object to specified target object from microcosmic angle; So analysis result has more specific aim; And accurate more system performance occupancy data are provided, thereby have made user's recognition system focus rapidly and accurately, and then be convenient to optimization of system performance.
Description of drawings
In order to be illustrated more clearly in the technical scheme of the embodiment of the invention; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the exemplary flow chart that illustrates according to the method for the performance that is used for analytic system of the embodiment of the invention.
Fig. 2 illustrates the synoptic diagram according to a destination object of the embodiment of the invention.
Fig. 3 illustrate utilization come according to the method for the embodiment of the invention analytic system performance process and utilize classic method to come the synoptic diagram of process of the performance of analytic system.
Fig. 4 illustrates the occupancy synoptic diagram of the shared system resource of each module that the method according to the embodiment of the invention obtains.
Fig. 5 illustrates the exemplary block diagram according to an equipment of the performance that is used for analytic system of the embodiment of the invention.
Fig. 6 illustrates the block diagram according to the performance analysis system of the embodiment of the invention.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
The embodiment of the invention is provided for method, equipment and the system of the performance of analytic system; So that the operating position of resource for computer system (for example being that unit carries out CPU usage calculating with the module) is analyzed; The result of this process analysis procedure analysis helps to understand the resource consumption of system, so that the performance of optimization system targetedly.
Fig. 1 is the exemplary flow chart that illustrates according to the method 100 of the performance that is used for analytic system of the embodiment of the invention.
As shown in fig. 1; Method 100 101 in; In said system operational process; Gather the data message of specified target object in a period of time, said data message is illustrated in the sorts of systems resource that one or more subobjects of comprising in the said destination object in said a period of time are consumed when said destination object is called.Here, can come the intended target object by the user.
Concrete, said destination object is that continuous a series of instruction constitutes,, for example base block (littler), function, thread or process than function rank, and said subobject for example calls business module, thread or the process of this function.
Need to prove, gather the data message of specified target object in a period of time through dynamic pitching pile.The dynamic pitching pile here refers to and can when program run, carry out pitching pile, among the Fig. 3 in vide infra (a) and (b).Such as, receive the data message of crucial function (function f 3) triggering collection specified target object (function f 2, f3 and f6) in a period of time in (a) in Fig. 3; And receive the data message of this function of triggering collection in a period of time of each function in (b) in Fig. 3.
In 102, come to calculate respectively the attribute of performance of each subobject in said one or more subobject according to said data message, said attribute of performance is represented with the statistics of the data message of this subobject.
In 103, analyze the shared system resource of each subobject in said one or more subobject based on said attribute of performance.
Need to prove, when the value of the attribute of performance of subobject is high, confirm that the shared system resource of this subobject is many.
Wherein, in embodiments of the present invention, under a kind of implementation, step 101 can comprise:
Be captured in call stack information, thread information, global variable, the parameter information of each subobject in this a period of time that comprises in this specified target object, and said parameter information comprises identifier, operation duration, message size and the priority of each subobject.
Under a kind of implementation; Step 102 can comprise: through statistical method; Come to calculate respectively one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of said each subobject according to said data message, as the attribute of performance of each subobject.
More excellent, if said each subobject has corresponding identifier, then:
Under a kind of implementation, step 102 can comprise: as class condition, the parameter information that will have the subobject of identical identifier converges with the identifier of subobject;
Based on the parameter information after converging, calculate one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of each subobject respectively through statistical method, as the attribute of performance of each subobject.
It is thus clear that; According to the embodiment of the invention; Because only analyze and the occupation condition of each subobject in this specified target object is provided,, and accurate more system performance occupancy data are provided so analysis result has more specific aim from microcosmic angle to specified target object; Thereby make user's recognition system focus rapidly and accurately, and then be convenient to optimization of system performance.
Here; The user can specify one or more destination objects to keep watch on; And the method according to the embodiment of the invention can be analyzed to each specified target object, so that the occupation condition of each sub-objects in each specified target object to be provided respectively.
For example; For E2E (End to End; End-to-end) traffic packets, different service possibly passed through same flow process, for example TCP (Transmission Control Protocol; Transmission control protocol), SPX (Sequenced Packet Exchange Protocol, sequence of packets exchange agreement) etc.Utilize traditional method for analyzing performance, only can obtain such as following analysis result:
Tcp_send?50％
Spx_send?20％
Other 1_send 10%
......
But, utilize method 100 according to the embodiment of the invention, can provide for example handled each professional in detail occupancy of Tcp_send, that is: at the TCP level
Service?120％
Service2?10％
Service3?3.3％
Service4?10％
......
Fig. 2 illustrates the synoptic diagram according to a destination object 200 of the embodiment of the invention.
As shown in Figure 2; Exist in the destination object 200 a plurality of professional Service1, Service2, Service3, Service4 ..., Service (N-1) and ServiceN; Wherein N is the positive integer more than or equal to 1, and said a plurality of professional Service1, Service2, Service3, Service4 ..., Service (N-1) and ServiceN can have unified input.Though have unified output in a plurality of business shown in Fig. 2 here; But the invention is not restricted to this; A plurality of business also can not have unified output; For example, some in a plurality of business can have unified output but other do not have unified output, and perhaps all business does not have unified output.When not having unified output data, can carry out dynamic tracking respectively to obtain multiple business in multilayer.
Therefore, preferably, the user can specify the more object of interior business as the destination object that will be kept watch on.This destination object can have unified input, but need not have unified output.
In addition, destination object can be function, thread (thread) or process (process), and subobject can be business module, process or the thread that calls this function.Therefore, the embodiment of the invention can be from microcosmic angle, is unit with the business module, is unit with the process or waits the occupation condition that provides concrete with thread unit.
Below, will the process according to the performance that is used for analytic system of the embodiment of the invention be described in further detail with reference to accompanying drawing.
Fig. 3 illustrate utilization come according to the method for the embodiment of the invention analytic system performance process and utilize classic method to come the synoptic diagram of process of the performance of analytic system.Wherein, (a) utilization comes the performance of analytic system according to the method for the embodiment of the invention process is shown; (b) process that the plug-in mounting technology of utilizing in the classic method is come the performance of analytic system is shown, and (c) process that the Sampling techniques of utilizing in the classic method are come the performance of analytic system is shown.
Shown in (a) among Fig. 3, suppose to exist a plurality of object f1, f2, f3, f4, f5, f6 ... here, each object can be a function.A plurality of object f1, f2, f3, f4, f5, f6 ... in, object f2, f3 and f6 are specified target object, and they are identified with mark (mark) (also can be referred to as probe (probe)).Though 3 specified target object are shown at Fig. 3 (a), the invention is not restricted to this, the object that those skilled in the art can specify arbitrary number flexibly according to demand is as destination object.
Can specify this destination object by the user.In addition, preferably, when needs, for example when system's generation problem, the destination object that the user can specify hope to be kept watch on immediately is so that catch system's focus so that understanding problem place.That is to say, the user can be as required intended target object at any time, utilize therefore that to come the process of the performance of analytic system according to the method for the embodiment of the invention be a kind of dynamic real-time follow-up process.This has saved the user promptly need carry out the trouble of plug-in mounting in compile time, and makes analysis result have more specific aim.
Continuation is with reference to (a) among Fig. 3, when triggering specified target object, for example function f 3, begins to gather the data message of this destination object, for example comprises the call stack information, thread information, global variable, parameter information of function f 3 etc.
Data message that can the continuous collecting destination object reaches a period of time, and for example, a few minutes are so that make that the data message of in this a period of time, gathering is abundant, be enough to cover the performance of the destination object that will be kept watch on.Alternatively, can work as Installed System Memory when exhausting automatic or manual stop to gather.The concrete length of this a period of time perhaps, can be set by the user in advance.Again perhaps, can when gathering, transmit the data message of being gathered, when the user thinks that data message is abundant, stop to gather to the user.
Equally, when triggering other specified target object (for example function f 2 and function f 6), can gather the data message of this destination object equally.
(b) among Fig. 3 illustrates the process that the plug-in mounting technology of utilizing in the classic method is come the performance of analytic system; Obviously; When triggering each function, all to gather the time, call stack information, thread information of this function etc.; Not only can't gather function inner global variable and parameter information, and can influence system performance.
In addition, (c) among Fig. 3 illustrates the process that the Sampling techniques of utilizing in the classic method are come the performance of analytic system.Obviously, this process also can't be gathered function inner global variable and parameter information.
Advantageously; According to the embodiment of the invention; The process of gathering the data message of specified target object in a period of time can be captured in call stack information, thread information, global variable, the parameter information of each subobject in this a period of time that comprises in this specified target object, and said parameter information can comprise identifier, operation duration, message size and the priority of each subobject.
Below table 1 object lesson of the data message of gathering according to the embodiment of the invention is shown, be example wherein with the message distribution bag, different service (subobject) is called same function will have different identifiers, different message size and different priority.For example, gather for unit with the module in the thread (with module No. PID sign, the i.e. identifier of this module), and each module can be corresponding to a message.Here, the unit of parameter 1 (length) can be byte (Byte).
Table 1
According to above-mentioned data message; Can calculate the attribute of performance of each subobject in said one or more subobject respectively; Promptly can pass through statistical method; Come to calculate respectively one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of said each subobject according to said data message, as the attribute of performance of each subobject.
Particularly, at first, PID classifies based on module No., and the data message that is about to equal modules PID is gathered together, and obtains following table 2.
Table 2
Then, can utilize statistical method to obtain the attribute of performance of each module based on table 2, for example; PID133 message has occurred 350 times altogether, its average length=(120+30+280+180+320+......)/and 350=186, its maximum length is 320; Average priority is 3, and greatest priority also is 3.Similarly, can obtain the attribute of performance of PID10, PID100 and PID15 equally, shown in following table 3.
Table 3
| PID133 | PID10 | PID100 | PID15 | Amount to | |
| Total degree | 350 | 210 | 60 | 13 | 633 |
| Average length | 186 | 70 | 230 | 42 | 528 |
| Maximum length | 320 | 80 | 330 | 60 | 790 |
| Average priority | 3 | 2 | 1 | 1 | 7 |
| Greatest priority | 3 | 2 | 1 | 1 | 7 |
At this moment, can according to the height of the value of the attribute of performance of each subobject confirm the shared system resource of this subobject what.For example, can confirm total degree at most, average priority and greatest priority is all maximum and average length and the maximum length second long PID133 take resource be maximum.
Certainly, also can further calculate the shared ratio of each attribute of performance of each module, to find out the resources occupation rate of each module more intuitively, shown in following table 4.For example, the number percent=350/633=0.552922591 of the total degree of PID133.
Table 4
| Number percent | PID133 | PID10 | PID100 | PID15 | Amount to |
| Total degree | 0.552922591 | 0.331753555 | 0.09478673 | 0.020537 | 633 |
| Average length | 0.352272727 | 0.132575758 | 0.435606061 | 0.079545 | 528 |
| Maximum length | 0.405063291 | 0.101265823 | 0.417721519 | 0.075949367 | 790 |
| Average priority | 0.428571429 | 0.285714286 | 0.142857143 | 0.142857 | 7 |
| Greatest priority | 0.428571429 | 0.285714286 | 0.142857143 | 0.142857 | 7 |
Fig. 4 illustrates the occupancy synoptic diagram of the shared system resource of each module PID133, PID10, PID100 and PID15 that the method according to the embodiment of the invention obtains.
As can be seen from Figure 4, it is all very outstanding that the PID133 total degree accounts for over half and its professional each item ratio that amounts to number of times, is the system bottleneck place.In view of the above, whether the user can also further analyze PID133 from operational angle like this, so that the user catches the system focus one-step optimization system performance of going forward side by side fast.It is thus clear that; The method of the performance that is used for analytic system of the embodiment of the invention can be carried out performance evaluation as the analysis index to system with class of service, and the business which kind of type the user that results of performance analysis can guidance system reduces reduces the execution pressure of system.And, calculate the emphasis business of discerning through realizing professional relevant resources occupation rate.
Though here be to utilize the shared ratio of each attribute of performance to analyze occupation condition,, also can draw identical result through table 3, and need not always to calculate the result of table 4.
Fig. 5 illustrates the exemplary block diagram according to an equipment 500 of the performance that is used for analytic system of the embodiment of the invention.
As shown in Figure 5, equipment 500 can comprise acquisition component 501, calculating unit 502 and analysis component 503.
Acquisition component 501 is used for the operational process in said system; Gather the data message of specified target object in a period of time, said data message is illustrated in the sorts of systems resource that one or more subobjects of comprising in the said destination object in said a period of time are consumed when said destination object is called.
Calculating unit 502 is used for to calculate respectively according to said data message the attribute of performance of each subobject of said one or more subobjects, and said attribute of performance is represented with the statistics of the data message of this subobject.
Analysis component 503 is used for analyzing based on said attribute of performance the shared system resource of each subobject of said one or more subobjects.
According to the embodiment of the invention; Because only analyze and provide the occupation condition of each subobject in this specified target object to specified target object from microcosmic angle; So analysis result has more specific aim; And accurate more system performance occupancy data are provided, thereby have made user's recognition system focus rapidly and accurately, and then be convenient to optimization of system performance.
Under a kind of implementation; Acquisition component 501 specifically is used for: at said system operational process; Be captured in call stack information, thread information, global variable, the parameter information of each subobject in this a period of time that comprises in this specified target object, and said parameter information comprises identifier, operation duration, message size and the priority of each subobject.
Accordingly; Under a kind of implementation; Calculating unit 502 specifically is used for: through statistical method; Come to calculate respectively one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of said each subobject according to said data message, as the attribute of performance of each subobject; And analysis component 503 can be worked as the value of attribute of performance of subobject and confirm that the shared system resource of this subobject is many when high.
Different subobject (like the different service program) calls same destination object (like function) will be to having different subobject identifiers, different message sizes and different priority.
Accordingly; Under another kind of implementation; Calculating unit specifically is used for: the identifier with subobject converges as the parameter information that class condition will have the subobject of identical identifier; And, calculate one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of each subobject respectively through statistical method, as the attribute of performance of each subobject based on the parameter information after converging; Wherein, each subobject has corresponding identifier.
In addition, equipment 500 can also comprise the specified parts (not shown), is used for before said acquisition component is gathered the data message of specified target object in a period of time the destination object that appointment in real time when needed will be kept watch on.The number of said specified target object can be one or more.
Need to prove that the product form of an equipment 500 of the performance that is used for analytic system of the embodiment of the invention can be the performance profiler.
It is thus clear that; According to the embodiment of the invention; Because only analyze and the occupation condition of each subobject in this specified target object is provided,, and accurate more system performance occupancy data are provided so analysis result has more specific aim from microcosmic angle to specified target object; Thereby make user's recognition system focus rapidly and accurately, and then be convenient to optimization of system performance.
Fig. 6 illustrates the block diagram according to the performance analysis system 600 of the embodiment of the invention.
Shown in Figure 60 0, performance analysis system 600 can comprise goal systems to be analyzed 601 and the above-mentioned equipment 500 that is used to analyze the performance of said goal systems, and wherein, said goal systems 601 can be the application that any needs are managed concentratedly.
Need to prove that the goal systems is here analyzed object exactly, in other words, promptly by the system of performance analysis or the part of system.
Therefore, the embodiment of the invention can be applied to the field that various needs carry out performance evaluation, for example computer realm, memory area, field of telecommunications or the like.But, the invention is not restricted to this, those skilled in the art can be applied to other suitable fields with the embodiment of the invention as required.
It is thus clear that; According to the embodiment of the invention; Because only analyze and the occupation condition of each subobject in this specified target object is provided,, and accurate more system performance occupancy data are provided so analysis result has more specific aim from microcosmic angle to specified target object; Thereby make user's recognition system focus rapidly and accurately, and then be convenient to optimization of system performance.
Should be noted in the discussion above that for clear and simple and clear, in Fig. 5 and Fig. 6, only show the part relevant, still it will be appreciated by those skilled in the art that equipment shown in Fig. 5 and Fig. 6 or device can comprise the unit that other are necessary with the embodiment of the invention.
Those of ordinary skills can recognize; The unit and the algorithm steps of each example of describing in conjunction with embodiment disclosed herein; Can realize with electronic hardware, computer software or the combination of the two; For the interchangeability of hardware and software clearly is described, the composition and the step of each example described prevailingly according to function in above-mentioned explanation.These functions still are that software mode is carried out with hardware actually, depend on the application-specific and the design constraint of technical scheme.The professional and technical personnel can use distinct methods to realize described function to each certain applications, but this realization should not thought and exceeds scope of the present invention.
The those skilled in the art can be well understood to, for the convenience described with succinct, the concrete course of work of the system of foregoing description, device and unit can repeat no more at this with reference to the corresponding process among the preceding method embodiment.
In several embodiment that the application provided, should be understood that the system that is disclosed, apparatus and method can realize through other mode.For example, device embodiment described above only is schematically, for example; The division of said unit; Only be that a kind of logic function is divided, during actual the realization other dividing mode can be arranged, for example a plurality of unit or assembly can combine or can be integrated into another system; Or some characteristics can ignore, or do not carry out.Another point, the coupling each other that shows or discuss or directly coupling or communication to connect can be through some interfaces, the indirect coupling of device or unit or communication connect, and can be electrically, machinery or other form.
Said unit as separating component explanation can or can not be physically to separate also, and the parts that show as the unit can be or can not be physical locations also, both can be positioned at a place, perhaps also can be distributed on a plurality of NEs.Can realize the purpose of present embodiment scheme according to the needs selection some or all of unit wherein of reality.
In addition, each functional unit in each embodiment of the present invention can be integrated in the processing unit, also can be that the independent physics in each unit exists, and also can be integrated in the unit two or more unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, also can adopt the form of SFU software functional unit to realize.
If said integrated unit is realized with the form of SFU software functional unit and during as independently production marketing or use, can be stored in the computer read/write memory medium.Based on such understanding; Part or all or part of of this technical scheme that technical scheme of the present invention contributes to prior art in essence in other words can come out with the embodied of software product; This computer software product is stored in the storage medium; Comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out all or part of step of the said method of each embodiment of the present invention.And aforesaid storage medium comprises: various media that can be program code stored such as USB flash disk, portable hard drive, ROM (read-only memory) (ROM, Read-Only Memory), RAS (RAM, Random Access Memory), magnetic disc or CD.
It is pointed out that also that in apparatus and method of the present invention obviously, each parts or each step can decompose and/or reconfigure.These decomposition and/or reconfigure and to be regarded as equivalents of the present invention.And, carry out the step of above-mentioned series of processes and can order following the instructions naturally carry out in chronological order, but do not need necessarily to carry out according to time sequencing.Some step can walk abreast or carry out independently of one another.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technician who is familiar with the present technique field is in the technical scope that the present invention discloses; Can expect easily changing or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by said protection domain with claim.
Claims (12)
1. a method that is used for the performance of analytic system is characterized in that, comprising:
In said system operational process; Gather the data message of specified target object in a period of time, said data message is illustrated in the sorts of systems resource that one or more subobjects of comprising in the said destination object in said a period of time are consumed when said destination object is called;
Come to calculate respectively the attribute of performance of each subobject in said one or more subobject according to said data message, said attribute of performance is represented with the statistics of the data message of this subobject; And
Analyze the shared system resource of each subobject in said one or more subobject based on said attribute of performance.
2. method according to claim 1 is characterized in that, the data message of said collection specified target object in a period of time comprises:
Be captured in call stack information, thread information, global variable, the parameter information of each subobject in this a period of time that comprises in this specified target object, and said parameter information comprises identifier, operation duration, message size and the priority of each subobject.
3. method according to claim 2 is characterized in that, the said attribute of performance that calculates each subobject in said one or more subobject respectively according to said data message comprises:
Through statistical method, come to calculate respectively one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of said each subobject according to said data message, as the attribute of performance of each subobject.
4. method according to claim 2 is characterized in that: if said each subobject has corresponding identifier,
The said attribute of performance that calculates each subobject in said one or more subobject respectively according to said data message comprises:
As class condition, the parameter information that will have the subobject of identical identifier converges with the identifier of subobject;
Based on the parameter information after converging, calculate one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of each subobject respectively through statistical method, as the attribute of performance of each subobject.
5. method according to claim 4 is characterized in that, the said shared system resource of analyzing in said one or more subobject based on said attribute of performance of each subobject comprises:
When the value of the attribute of performance of subobject is high, confirm that the shared system resource of this subobject is many.
6. according to each the described method in the claim 1 to 5, it is characterized in that:
Before the data message of said collection specified target object in a period of time, also comprise: real-time when needed intended target object, and
The number of said specified target object is one or more.
7. method according to claim 6 is characterized in that: said destination object comprises function, thread or process, and said subobject comprises business module, thread or the process of calling this function.
8. an equipment that is used for the performance of analytic system is characterized in that, comprising:
Acquisition component; Be used for operational process in said system; Gather the data message of specified target object in a period of time, said data message is illustrated in the sorts of systems resource that one or more subobjects of comprising in the said destination object in said a period of time are consumed when said destination object is called;
Calculating unit is used for to calculate respectively according to said data message the attribute of performance of each subobject of said one or more subobjects, and said attribute of performance is represented with the statistics of the data message of this subobject; And
Analysis component is used for analyzing based on said attribute of performance the shared system resource of each subobject of said one or more subobjects.
9. equipment according to claim 8; It is characterized in that: said acquisition component specifically is used for: at said system operational process; Be captured in call stack information, thread information, global variable, the parameter information of each subobject in this a period of time that comprises in this specified target object, and said parameter information comprises identifier, operation duration, message size and the priority of each subobject.
10. equipment according to claim 9; It is characterized in that; Said calculating unit specifically is used for: through statistical method; Come to calculate respectively one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of said each subobject according to said data message, as the attribute of performance of each subobject.
11. equipment according to claim 9; It is characterized in that: said calculating unit specifically is used for: the identifier with subobject converges as the parameter information that class condition will have the subobject of identical identifier; And based on the parameter information after converging; Calculate one or more in the appearance total degree, average length, maximum length, average priority, greatest priority of each subobject respectively through statistical method; As the attribute of performance of each subobject, wherein, each subobject has corresponding identifier.
12. a performance analysis system is characterized in that, comprises goal systems to be analyzed and like the described equipment that is used to analyze the performance of said goal systems of in the claim 8 to 11 each.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103198008A (en) * | 2013-04-27 | 2013-07-10 | 清华大学 | System testing statistical method and device |
| CN103455412A (en) * | 2013-09-23 | 2013-12-18 | 扬州大学 | Cocurrent system performance simulation method based on random process algebra |
| CN103793265A (en) * | 2012-10-30 | 2014-05-14 | 腾讯科技（深圳）有限公司 | Processing method and device for process optimization |
| CN104932970A (en) * | 2015-05-29 | 2015-09-23 | 小米科技有限责任公司 | Monitoring method and device of memory leakage |
| CN105637480A (en) * | 2013-04-02 | 2016-06-01 | 谷歌公司 | A framework for user-directed profile-driven optimizations |
| CN107491392A (en) * | 2017-08-22 | 2017-12-19 | 中国联合网络通信集团有限公司 | Application program capacity acquisition method and device |
| CN107580215A (en) * | 2017-09-25 | 2018-01-12 | 深圳市九洲电器有限公司 | Set top box component quality feedback method and system |
| CN113934475A (en) * | 2021-08-10 | 2022-01-14 | 荣耀终端有限公司 | Application call analysis method and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004264914A (en) * | 2003-02-24 | 2004-09-24 | Intellaset:Kk | Apparatus for measuring and analyzing system performance |
| WO2008006027A2 (en) * | 2006-07-06 | 2008-01-10 | Akorri Networks, Inc. | Managing application system load |
| CN101162437A (en) * | 2006-10-10 | 2008-04-16 | 国际商业机器公司 | Method for analyzing system performance sampled data based on relational model, equipment and system |
| CN102063330A (en) * | 2011-01-05 | 2011-05-18 | 北京航空航天大学 | Performance data acquisition method for large-scale parallel program |
| CN102073580A (en) * | 2011-02-01 | 2011-05-25 | 华为技术有限公司 | Performance analyzing method and tool and computer system |
-
2012
- 2012-01-11 CN CN201210008585.2A patent/CN102609351B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004264914A (en) * | 2003-02-24 | 2004-09-24 | Intellaset:Kk | Apparatus for measuring and analyzing system performance |
| WO2008006027A2 (en) * | 2006-07-06 | 2008-01-10 | Akorri Networks, Inc. | Managing application system load |
| CN101162437A (en) * | 2006-10-10 | 2008-04-16 | 国际商业机器公司 | Method for analyzing system performance sampled data based on relational model, equipment and system |
| CN102063330A (en) * | 2011-01-05 | 2011-05-18 | 北京航空航天大学 | Performance data acquisition method for large-scale parallel program |
| CN102073580A (en) * | 2011-02-01 | 2011-05-25 | 华为技术有限公司 | Performance analyzing method and tool and computer system |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103793265A (en) * | 2012-10-30 | 2014-05-14 | 腾讯科技（深圳）有限公司 | Processing method and device for process optimization |
| CN103793265B (en) * | 2012-10-30 | 2016-05-11 | 腾讯科技（深圳）有限公司 | The processing method of Optimization Progress and device |
| US9606830B2 (en) | 2012-10-30 | 2017-03-28 | Tencent Technology (Shenzhen) Company Limited | Method and device for handling optimization processes based on Euclidean distance |
| CN105637480B (en) * | 2013-04-02 | 2020-03-03 | 谷歌有限责任公司 | Architecture for user-directed profile-driven optimization |
| CN105637480A (en) * | 2013-04-02 | 2016-06-01 | 谷歌公司 | A framework for user-directed profile-driven optimizations |
| US11675574B2 (en) | 2013-04-02 | 2023-06-13 | Google Llc | Framework for user-directed profile-driven optimizations |
| US11321061B2 (en) | 2013-04-02 | 2022-05-03 | Google Llc | Framework for user-directed profile-driven optimizations |
| CN103198008A (en) * | 2013-04-27 | 2013-07-10 | 清华大学 | System testing statistical method and device |
| CN103455412A (en) * | 2013-09-23 | 2013-12-18 | 扬州大学 | Cocurrent system performance simulation method based on random process algebra |
| CN103455412B (en) * | 2013-09-23 | 2016-10-19 | 扬州大学 | A kind of concurrent system performance simulation method based on stochastic process algebra |
| CN104932970A (en) * | 2015-05-29 | 2015-09-23 | 小米科技有限责任公司 | Monitoring method and device of memory leakage |
| CN107491392A (en) * | 2017-08-22 | 2017-12-19 | 中国联合网络通信集团有限公司 | Application program capacity acquisition method and device |
| CN107580215A (en) * | 2017-09-25 | 2018-01-12 | 深圳市九洲电器有限公司 | Set top box component quality feedback method and system |
| CN113934475A (en) * | 2021-08-10 | 2022-01-14 | 荣耀终端有限公司 | Application call analysis method and electronic equipment |
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