CN107480038A - The method for analyzing performance of real time operating system - Google Patents
The method for analyzing performance of real time operating system Download PDFInfo
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- CN107480038A CN107480038A CN201710751263.XA CN201710751263A CN107480038A CN 107480038 A CN107480038 A CN 107480038A CN 201710751263 A CN201710751263 A CN 201710751263A CN 107480038 A CN107480038 A CN 107480038A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3495—Performance evaluation by tracing or monitoring for systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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Abstract
The invention belongs to computer realm, and in particular to the method for analyzing performance of real time operating system.The method for analyzing performance of real time operating system, comprises the following steps：(1) initialize；(2) during system tick interrupt each time, the current task control block on each core is sampled by event acquisition call back function；(3) analytic statistics is carried out to the performance evaluation message of the task control block of all cores；(4) with the result of character graphics interface display performance evaluation chained list.
Description
Technical field
The invention belongs to computer realm, and in particular to the method for analyzing performance of real time operating system.
Background technology
System performance analysis instrument has systematic function bottleneck analysis and positioning function for real time operating system, so that
Developer can be influenceed the key position of systematic function with fast positioning and it is optimized.
System performance analysis instrument is the sharp weapon in real time operating system later development tuning stage.For real-time oss
System, but system bottleneck can not be pin-pointed to function rank by general system performance analysis instrument, can only check and appoint
Rank of being engaged in performance accounting in systems；Current performance data is only able to display, can not log history data and use big data mode
Analyzed；The total load of system is can only obtain under SMP multinuclears, distribution situation of the total load on each core can not be shown；
Some network analysis instruments just can be used normally using invasive mode, it is necessary to change system code.
The content of the invention
Goal of the invention：The present invention has made improvements in view of the above-mentioned problems of the prior art, i.e., the invention discloses real-time
The method for analyzing performance of operating system.
Technical scheme：The method for analyzing performance of real time operating system, comprises the following steps：
(1) initialize
(11) start-up parameter that parsing user is passed to, judges whether the start-up parameter that user is passed to is legal, if user is passed to
Start-up parameter it is illegal, then using the start-up parameter that is passed to of default parameters substitution user, subsequently into step (12)；If user
Incoming start-up parameter is legal, then is directly entered step (12)；
(12) judge whether state machine is normal, if state machine is abnormal, terminate this operation, if state machine is normal, basis
Start-up parameter creates object, then updates state machine, terminates initial work；
(2) during system tick interrupt each time, by event acquisition call back function to the current task on each core
Control block is sampled, wherein：
Current task control block sampling on each core is comprised the following steps：
(21) task control block when pronucleus is obtained, if when the task control block of pronucleus is not belonging to perfs and priority
Not least priority, then the task control block is encapsulated as performance evaluation message, then by the being sent to property of performance evaluation message
Queue can be analyzed, into step (22)；Conversely, it is directly entered step (22)；
(22) judge whether current platform is symmetric multiprocessor pattern, if current platform is not symmetric multiprocessor mould
Formula, terminate this operation；If current platform is symmetric multiprocessor pattern, into step (23)；
(23) judge whether that all cores have all carried out information gathering, if all cores have all carried out information gathering, terminate this
Operation, if not all cores have all carried out information gathering, then carry out information gathering using the next core of internuclear interrupt notification；
(3) analytic statistics is carried out to the performance evaluation message of the task control block of all cores
(31) performance evaluation message is obtained from performance evaluation queue, into step (32)；
(32) according to performance evaluation message constructing performance analysis data node, into step (33)；
(33) judge whether current performance analysis data node is new performance analysis data node, if current performance
Analyze data node is not new performance analysis data node, then into step (35)；If current performance analysis data node
It is new performance analysis data node, then into step (34)；
(34) judge whether the performance evaluation chained list of current performance analysis data is full, if performance evaluation chained list is full,
Chained list tail node is then deleted, into step (35), if performance evaluation chained list is less than being directly entered step (35)；
(35) performance evaluation chained list is rearranged from big to small according to counting；
(4) with the result of character graphics interface display performance evaluation chained list, comprise the following steps：
(41) performance evaluation chained list is obtained, into step (42)；
(42) the reference summation T of performance evaluation chained list is obtained, into step (43)；
(43) a performance analysis data is obtained, into step (44)；
(44) if the reference count accounting of current performance analyze data quotes summation and is more than 30%, display font is red
Color, conversely, into step (45)；
(45) if the reference count accounting of current performance analyze data quotes summation and is more than 20%, display font is Huang
Color, conversely, into step (46)；
(46) if the reference count accounting of current performance analyze data quotes summation and is more than 10%, display font is green
Color, conversely, into step (47)；
(47) current performance analyze data is printed, into step (48)；
(48) judge whether to have printed all performance analysis datas, if not printed all performance evaluation numbers
According into step (43), if having printed all performance analysis datas, terminating this operation.
Further, lowest priority is 255 in step (21).
Further, performance evaluation message contains current CPU ID, Thread Id, process ID, PC value words in step (21)
Section.
Further, the counting in step (35) refers to the reference number of identical PC values.
Further, the result of the performance evaluation chained list of step (4) include thread name, Thread Id, process ID, CPU ID,
Symbolic address, PC values, count value, function name, and refresh simultaneously identify systematic function accounting height in different colors in real time.
Beneficial effect：The method for analyzing performance of real time operating system disclosed by the invention has the advantages that：
(1) start-up parameter can be configured according to specific system load environment；
(2) can be quickly to systematic function bottleneck and focus Code location；
(3) the internuclear distribution situation of system load can be obtained；
(4) with character graphics display performance analysis result, make result clear；
(5) real-time refresh performance analysis result, result is made effectively, in real time；
(6) it with log history data and can be analyzed, make result accurate, reliable；
(7) it can not only be used for the performance issue of analysis kernel, while application code can be analyzed.
Brief description of the drawings
Fig. 1 is the flow chart of initialization；
Fig. 2 is the flow chart sampled to the current task control block on core；
Fig. 3 is the flow chart of analytic statistics；
Fig. 4 is the flow chart of display.
Embodiment：
The embodiment of the present invention is described in detail below.
As shown in figures 1-4, the method for analyzing performance of real time operating system, comprises the following steps：
(1) initialize
(11) start-up parameter that parsing user is passed to, judges whether the start-up parameter that user is passed to is legal, if user is passed to
Start-up parameter it is illegal, then using the start-up parameter that is passed to of default parameters substitution user, subsequently into step (12)；If user
Incoming start-up parameter is legal, then is directly entered step (12)；
(12) judge whether state machine is normal, if state machine is abnormal, terminate this operation, if state machine is normal, basis
Start-up parameter creates object, then updates state machine, terminates initial work；
(2) during system tick interrupt each time, by event acquisition call back function to the current task on each core
Control block (TCB) is sampled, wherein：
Current task control block sampling on each core is comprised the following steps：
(21) task control block when pronucleus is obtained, if (being English when the task control block of pronucleus is not belonging to perfs
Performance abbreviation) and the not least priority of priority, then the task control block is encapsulated as performance evaluation message, so
The performance evaluation message is sent to performance evaluation queue afterwards, into step (22)；Conversely, it is directly entered step (22)；
(22) judge whether current platform is symmetric multiprocessor pattern (SMP), if current platform is not symmetric multi-processors
Device pattern, terminate this operation；If current platform is symmetric multiprocessor pattern, into step (23)；
(23) judge whether that all cores have all carried out information gathering, if all cores have all carried out information gathering, terminate this
Operation, if not all cores have all carried out information gathering, then carry out information gathering using the next core of internuclear interrupt notification；
(3) analytic statistics is carried out to the performance evaluation message of the task control block of all cores
(31) performance evaluation message is obtained from performance evaluation queue, into step (32)；
(32) according to performance evaluation message constructing performance analysis data node, into step (33)；
(33) judge whether current performance analysis data node is new performance analysis data node, if current performance
Analyze data node is not new performance analysis data node, then into step (35)；If current performance analysis data node
It is new performance analysis data node, then into step (34)；
(34) judge whether the performance evaluation chained list of current performance analysis data is full, if performance evaluation chained list is full,
Chained list tail node is then deleted, into step (35), if performance evaluation chained list is less than being directly entered step (35)；
(35) performance evaluation chained list is rearranged from big to small according to counting；
(4) with the result of character graphics interface display performance evaluation chained list, comprise the following steps：
(41) performance evaluation chained list is obtained, into step (42)；
(42) the reference summation T of performance evaluation chained list is obtained, into step (43)；
(43) a performance analysis data is obtained, into step (44)；
(44) if the reference count accounting of current performance analyze data quotes summation and is more than 30%, display font is red
Color, conversely, into step (45)；
(45) if the reference count accounting of current performance analyze data quotes summation and is more than 20%, display font is Huang
Color, conversely, into step (46)；
(46) if the reference count accounting of current performance analyze data quotes summation and is more than 10%, display font is green
Color, conversely, into step (47)；
(47) current performance analyze data is printed, into step (48)；
(48) judge whether to have printed all performance analysis datas, if not printed all performance evaluation numbers
According into step (43), if having printed all performance analysis datas, terminating this operation.
Further, lowest priority is 255 in step (21).
Further, performance evaluation message contains current CPU ID, Thread Id, process ID, PC value words in step (21)
Section.
Further, the counting in step (35) refers to the reference number of identical PC values.
Further, the result of the performance evaluation chained list of step (4) include thread name, Thread Id, process ID, CPU ID,
Symbolic address, PC values, count value, function name, and refresh simultaneously identify systematic function accounting height in different colors in real time, make system
It is clear to count result.
Embodiments of the present invention are elaborated above.But the present invention is not limited to above-mentioned embodiment,
In art those of ordinary skill's possessed knowledge, it can also be done on the premise of present inventive concept is not departed from
Go out various change.
Claims (5)
1. the method for analyzing performance of real time operating system, it is characterised in that comprise the following steps：
(1) initialize
(11) start-up parameter that is passed to of parsing user, judges whether the start-up parameter that user is passed to is legal, if opening of being passed to of user
Dynamic parameter is illegal, then the start-up parameter being passed to using default parameters substitution user, subsequently into step (12)；If user is passed to
Start-up parameter it is legal, then be directly entered step (12)；
(12) judge whether state machine is normal, if state machine is abnormal, terminate this operation, if state machine is normal, according to startup
Parameter creates object, then updates state machine, terminates initial work；
(2) during system tick interrupt each time, the current task on each core is controlled by event acquisition call back function
Block is sampled, wherein：
Current task control block sampling on each core is comprised the following steps：
(21) task control block when pronucleus is obtained, if when the task control block of pronucleus is not belonging to perfs and priority is non-most
Low priority, then the task control block is encapsulated as performance evaluation message, the performance evaluation message is then sent to performance point
Queue is analysed, into step (22)；Conversely, it is directly entered step (22)；
(22) judge whether current platform is symmetric multiprocessor pattern, if current platform is not symmetric multiprocessor pattern, knot
Shu Benci is operated；If current platform is symmetric multiprocessor pattern, into step (23)；
(23) judge whether that all cores have all carried out information gathering, if all cores have all carried out information gathering, terminate this operation,
If not all cores have all carried out information gathering, then information gathering is carried out using the next core of internuclear interrupt notification；
(3) analytic statistics is carried out to the performance evaluation message of the task control block of all cores
(31) performance evaluation message is obtained from performance evaluation queue, into step (32)；
(32) according to performance evaluation message constructing performance analysis data node, into step (33)；
(33) judge whether current performance analysis data node is new performance analysis data node, if current performance evaluation
Back end is not new performance analysis data node, then into step (35)；If current performance analysis data node is new
Performance analysis data node, then into step (34)；
(34) judge whether the performance evaluation chained list of current performance analysis data is full, if performance evaluation chained list is full, deletes
Except chained list tail node, into step (35), if performance evaluation chained list is less than being directly entered step (35)；
(35) performance evaluation chained list is rearranged from big to small according to counting；
(4) with the result of character graphics interface display performance evaluation chained list, comprise the following steps：
(41) performance evaluation chained list is obtained, into step (42)；
(42) the reference summation T of performance evaluation chained list is obtained, into step (43)；
(43) a performance analysis data is obtained, into step (44)；
(44) if the reference count accounting of current performance analyze data quotes summation and is more than 30%, display font is red, instead
It, into step (45)；
(45) if the reference count accounting of current performance analyze data quotes summation and is more than 20%, display font is yellow, instead
It, into step (46)；
(46) if the reference count accounting of current performance analyze data quotes summation and is more than 10%, display font is green, instead
It, into step (47)；
(47) current performance analyze data is printed, into step (48)；
(48) judge whether to have printed all performance analysis datas, if not printed all performance analysis datas, enter
Enter step (43), if having printed all performance analysis datas, terminate this operation.
2. the method for analyzing performance of real time operating system according to claim 1, it is characterised in that minimum in step (21)
Priority is 255.
3. the method for analyzing performance of real time operating system according to claim 1, it is characterised in that performance in step (21)
Analysis message contains current CPU ID, Thread Id, process ID, PC value fields.
4. the method for analyzing performance of real time operating system according to claim 1, it is characterised in that the meter in step (35)
Number refers to the reference number of identical PC values.
5. the method for analyzing performance of real time operating system according to claim 1, it is characterised in that the performance of step (4)
Analyzing the result of chained list includes thread name, Thread Id, process ID, CPU ID, symbolic address, PC values, count value, function name, and
Refresh in real time and simultaneously identify systematic function accounting height in different colors.
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Cited By (1)
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| CN111045906A (en) * | 2019-11-21 | 2020-04-21 | 中国航空工业集团公司西安航空计算技术研究所 | Unified architecture GPU performance sampling and storing method based on finite-state machine |
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