JP2021124756A - Information processing device, information processing method, and program - Google Patents

Abstract

To provide an information processing device capable of maintaining information on a limited storage area as useful dump information when an error, not limited to a kernel panic, occurs.SOLUTION: An information processing device 1 comprises: a non-volatile memory 502 for storing dump information (a dump file) 30 indicating an error; a discriminant unit 104 for discriminating a type of log data for the time of the error; a first determination unit 102 for determining whether or not the same type of dump information as the type discriminated by the discriminant unit exists in the non-volatile memory; a deletion unit 106 for deleting the log data for the time of the error if the first determination unit determines that the same type of dump information exists in the non-volatile memory; and a writing unit 105 for associating the log data for the time of the error with the type discriminated by the discriminant unit and stores it in the non-volatile memory as the dump information if the first determination unit determines that the same type of dump information does not exist in the non-volatile memory.SELECTED DRAWING: Figure 2

Description

The present invention relates to an information processing device, an information processing method and a program.

In the information processing device, among the programs included in the OS (Operating System), the execution of the kernel, which is the part that plays important functions such as process management, I / O management, and file management, causes a fatal problem and is normal. A state in which normal operation cannot be continued is called a kernel panic. When this kernel panic occurs, it is known to execute a panic dump, which is a process of outputting the state of data such as the main memory to a storage device as a dump file. By utilizing this dump file, it is possible to use it for fixing and improving defects in the kernel, drivers, and the like.

Conventionally, in a panic dump, a device that cannot be equipped with an auxiliary storage device such as an HDD (Hard Disk Drive) from the viewpoint of cost cannot secure an area for storing a sufficient dump file, so that there is a problem that useful dump information cannot be left. be. Here, the dump information refers to the information contained in the saved dump file. That is, the dump file can be regarded as dump information. Further, when a panic dump occurs a plurality of times, if there is no free space in the storage device, old data is overwritten, and there is a problem that necessary dump information cannot be obtained. On the other hand, it is possible to use the network to save the dump file in the storage on the server, but if it is difficult to build a network environment in terms of security, or if the log data cannot be taken out, inside the device. You need to keep a dump file on your network. That is, in a panic dump, it is required to reduce the dump file and extract necessary dump information.

As a technique for reducing such a dump file, a method for reducing the size of a memory dump by generating a core file (dump file) suitable for a preset storage size is disclosed (for example, Patent Document 1). ..

However, in the technique described in Cited Document 1, useful dump information may be lost because only a part of the information of the original dump file is selectively stored in order to reduce the size of each dump file. There is a problem that there is. In addition, such a dump file is saved only when a kernel panic occurs, and the saving process for the log data of the error when an error that does not cause a kernel panic occurs is not considered. There is also a problem.

The present invention has been made in view of the above, and is an information processing device and an information processing method capable of leaving information at the time of an error not limited to a kernel panic as useful dump information on a limited storage area. And the purpose of providing the program.

In order to solve the above-mentioned problems and achieve the object, the present invention has a first storage unit that stores dump information indicating an error, a discrimination unit that discriminates the type of log data when an error occurs, and the discrimination unit. A first determination unit that determines whether or not the same type of dump information as the type determined by If it is determined that the same type of dump information does not exist in the first storage unit by the deletion unit that deletes the log data when the error occurs and the first determination unit, the first determination unit determines that the same type of dump information does not exist in the first storage unit. It is characterized by including a writing unit that associates log data at the time of an error with the type determined by the discriminating unit and stores it in the first storage unit as dump information.

According to the present invention, information when an error occurs, which is not limited to a kernel panic, can be left as useful dump information on a limited storage area.

FIG. 1 is a diagram showing an example of a hardware configuration of an information processing device according to an embodiment. FIG. 2 is a diagram showing an example of a configuration of a functional block of the information processing device according to the embodiment. FIG. 3 is a diagram illustrating an operation of constructing a learning model by machine learning and performing discrimination processing using the learning model. FIG. 4 is a flowchart showing an example of a flow of processing when a kernel panic occurs in the information processing apparatus according to the embodiment. FIG. 5 is a flowchart showing an example of the flow of data determination processing of the information processing apparatus according to the embodiment. FIG. 6 is a diagram showing an example of a flow of log storage processing when an error occurs in the information processing apparatus according to the embodiment. FIG. 7 is a diagram showing a hardware configuration of a PC as an example of the information processing device according to the embodiment. FIG. 8 is a diagram showing a hardware configuration of an MFP as an example of the information processing device according to the embodiment.

Hereinafter, the information processing apparatus, information processing method, and program according to the present invention will be described in detail with reference to the accompanying drawings. Further, the present invention is not limited by the following embodiments, and the components in the following embodiments include those easily conceived by those skilled in the art, substantially the same, and so-called equivalent ranges. Is included. Furthermore, various omissions, substitutions, changes and combinations of components can be made without departing from the gist of the following embodiments.

In addition, computer software refers to programs related to computer operations and other information used for processing by computers that are equivalent to programs (hereinafter, computer software is referred to as software). An application is a general term for software used to perform a specific task in the classification of software. The firmware is software for controlling the hardware embedded in the electronic device. The operating system (OS) is software that controls a computer and enables application software or the like to use computer resources. The operating system performs basic computer management and control, such as input / output control, hardware management such as memory and hard disk, and process management. The application operates by utilizing the functions provided by the operating system. A program is a command to a computer that is combined so that one result can be obtained. In addition, a program-like thing cannot be called a program because it is not a direct command to the computer, but it has properties similar to a program in that it regulates the processing of the computer. For example, the data structure (the logical structure of data represented by the interrelationship between data elements) corresponds to a program.

For example, the configuration of the information processing device according to the present embodiment includes a PC (Personal Computer), an MFP (Multifunction Peripheral), a projector, a smartphone, a mobile phone, a tablet terminal, a PDA (Personal Digital Assistant) IWB (Interactive Whiteboard). : Electronic blackboard) Applies to digital signage, HUD (Head-Up Display) devices, wearable PC industrial machines, imaging devices, sound collectors, medical devices, network home appliances, automobiles, game devices, consumer electronic devices, embedded machines, etc. It is possible. A multifunction device (MFP) is a device having a plurality of different functions such as a copy function, a scanner function, a printer function, and a fax function.

(Hardware configuration of information processing device)
FIG. 1 is a diagram showing an example of a hardware configuration of an information processing device according to an embodiment. The hardware configuration of the information processing apparatus 1 according to the present embodiment will be described with reference to FIG.

The information processing device 1 shown in FIG. 1 saves a dump file containing log data when a kernel panic occurs and when an error occurs during normal operation that does not cause a kernel panic (hereinafter, may be referred to as a normal error). It is a device. In addition, kernel panic and normal errors may be collectively referred to as "errors". As shown in FIG. 1, the information processing device 1 includes a CPU (Central Processing Unit) 501, a non-volatile memory 502 (first storage unit), a main memory 503 (second storage unit), and a ROM (Read Only Memory). ) 504 and network I / F 505.

The CPU 501 is an arithmetic unit that comprehensively controls the operation of the information processing device 1. The CPU 501 controls the operation of the information processing device 1 according to an OS including a kernel that plays an important function.

The non-volatile memory 502 is a non-volatile storage device that can store data without supplying power. As described above, the non-volatile memory 502 stores the log data and the like expanded in the main memory 503 when an error occurs as a dump file 30 (dump information). In addition to the dump file 30, the non-volatile memory 502 also stores information on the type of the dump file 30 determined by using the learning model 40, as will be described later. Further, the dump file 30 may be fixed-length data or variable-length data. Further, the non-volatile memory 502 does not assume a large-capacity storage device such as an HDD (Hard Disk Drive) or network storage, and in the present embodiment, it assumes a small-capacity non-volatile storage device. ..

The main memory 503 is a volatile storage device that functions as a work area in which temporary data is stored as the program is expanded. While the OS is being executed by the CPU 501, information such as the name of a function called from a program such as a kernel, the order of the functions, and the timing of the call is recorded in the main memory 503 as log data. Then, when a kernel panic occurs, information including these log data is stored in the non-volatile memory 502 as a dump file 30. Further, the log data generated when a normal error that is not a kernel panic occurs is stored in the non-volatile memory 502 as a dump file 30 at a predetermined timing described later. Further, the dump file 30 includes, for example, driver log data, kernel debugger log data, and the like.

The ROM 504 is a storage device that stores various programs and various data executed by the OS including the kernel and the CPU 10. Therefore, the OS including the kernel is expanded from the ROM 504 to the main memory 503 when the information processing device 1 is started. Further, the ROM 504 stores a learning model 40 that has been previously learned by machine learning using teacher data. The learning model 40 is a model for determining the type of the dump file, as will be described later. The learning model 40 is not limited to being stored in the ROM 504, and may be stored in the non-volatile memory 502. Further, the OS including the kernel is not limited to being stored in the ROM 504, and may be stored in the non-volatile memory 502, and the OS may be expanded from the non-volatile memory 502 to the main memory 503.

The network I / F505 is a communication module for connecting the information processing device 1 to the network 2. The network I / F505 is compatible with Ethernet (registered trademark), for example, and enables communication compliant with TCP (Transmission Protocol) / IP (Internet Protocol) and the like. The information processing device 1 can perform data communication with another information processing device connected to the network 2 via the network I / F505. For example, the information processing device 1 may receive and use the learning model 40 that has been learned in advance from another information processing device via the network I / F 505.

(Functional block configuration of information processing device)
FIG. 2 is a diagram showing an example of a configuration of a functional block of the information processing device according to the embodiment. The configuration of the functional block of the information processing apparatus 1 according to the present embodiment will be described with reference to FIG.

As shown in FIG. 2, the information processing apparatus 1 restarts the kernel unit 101, the first determination unit 102, the second determination unit 103, the determination unit 104, the writing unit 105, the deletion unit 106, and so on. A unit 107 is provided.

The kernel unit 101 is a functional unit that executes important operations such as process management, I / O management, and file management among the functions included in the OS (Operating System). The kernel unit 101 is realized by executing a program (OS kernel) by the CPU 501 shown in FIG.

The first determination unit 102 is a functional unit that determines whether or not a dump file of the same type as the specific dump file exists in the non-volatile memory 502. The same type of dump file is, for example, a dump file containing information such as the same failure content, and may be treated as the same type of dump file even if the contents of the underlying log data are partially different. The first determination unit 102 is realized, for example, by executing a program by the CPU 501 shown in FIG.

The second determination unit 103 is a functional unit that performs various determinations other than the determination by the first determination unit 102. For example, the second determination unit 103 determines whether or not the dump file is stored in the non-volatile memory 502, and whether or not a flag indicating that a kernel panic, which will be described later, has occurred is set. The second determination unit 103 is realized, for example, by executing the program by the CPU 501 shown in FIG.

The discrimination unit 104 is a functional unit that reads the learning model 40 from the ROM 504 and uses the learning model 40 to discriminate the type of the dump file 30 on the non-volatile memory 502 and the log data on the main memory 503. The determination unit 104 is realized, for example, by executing a program by the CPU 501 shown in FIG.

The writing unit 105 is a functional unit that writes the log data stored in the main memory 503 as a dump file 30 to the non-volatile memory 502. The writing unit 105 is realized, for example, by executing a program by the CPU 501 shown in FIG.

The deletion unit 106 is a functional unit that deletes a new dump file 30 on the non-volatile memory 502 and deletes log data on the main memory 503. The deletion unit 106 is realized, for example, by executing a program by the CPU 501 shown in FIG.

The restart unit 107 is a functional unit that restarts the information processing device 1 after the dump file 30 is saved in the non-volatile memory 502 by the writing unit 105 when a kernel panic occurs. For example, it is realized by executing the program by the CPU 501 shown in FIG.

Note that at least one of the first determination unit 102, the second determination unit 103, the determination unit 104, the writing unit 105, the deletion unit 106, and the restart unit 107 shown in FIG. 2 is a dedicated hardware circuit. It may be realized by (integrated circuit, etc.).

Further, each functional unit of the information processing apparatus 1 shown in FIG. 2 conceptually shows a function, and is not limited to such a configuration. For example, a plurality of functional units illustrated as independent functional units in the information processing device 1 shown in FIG. 2 may be configured as one functional unit. On the other hand, in the information processing device 1 shown in FIG. 2, the functions possessed by one functional unit may be divided into a plurality of functions and configured as a plurality of functional units.

(About building a learning model by machine learning)
FIG. 3 is a diagram illustrating an operation of constructing a learning model by machine learning and performing discrimination processing using the learning model. The operation of constructing a learning model by machine learning and performing discrimination processing using the learning model will be described with reference to FIG.

In the present embodiment, the learning model 40 is constructed in advance by machine learning using past log data in an information processing device (hereinafter referred to as an external device) outside the information processing device 1. Here, an example of supervised learning as machine learning will be described.

First, as shown in FIG. 3A, the type of the log data is assigned as a correct label to the past log data (which may be in the form of a dump file) acquired in advance by an external device. Then, the combination of the log data and the correct answer label is used as the teacher data (labeled data). The log data is data in which various types of information when various types of failures occur are recorded as a log. Therefore, the type of log data is, for example, a type related to a failure included as a log. Further, the log data used for the teacher data may be, for example, log data acquired when a failure occurs in another information processing device of the same model as the information processing device 1, and the server may assume the failure. It may be the generated log data. The external device constructs a learning model by machine learning using these log data prepared in advance and a plurality of teacher data which are correct labels. As the learning algorithm for machine learning, for example, "Classification", which is a learning algorithm for supervised learning, may be used.

For example, as shown in FIG. 3A, for the log data (data (1) to data (3)) used for learning, the type of log data is correctly labeled (obstacle (1) to obstacle (3)). And prepare it as teacher data. That is, the log data (1) has a failure (1), the log data (2) has a failure (2), the log data (3) has a failure (3), and so on. Correlate what kind of log data was acquired at the time of failure or what kind of failure was generated in anticipation of the log data. For example, in the example shown in FIG. 3A, it is shown that the data (2) as the log data includes the log of "bbbb" which is the name of the called function and the log of "BBB driver". Has been done. In the example shown in FIG. 3A, three teacher data are shown, but the data is not limited to three.

Then, the external device applies a predetermined learning algorithm (for example, the algorithm of the above-mentioned "classification") to these teacher data to construct a learning model (learning model 40 shown in FIGS. 1 and 2). Then, the constructed learning model 40 is transmitted from the external device to the information processing device 1 via the network 2 and the network I / F 505, and is stored in the non-volatile memory 502 or ROM 504. Further, the constructed learning model 40 may be stored in the non-volatile memory 502 or ROM 504 of the information processing device 1 from an external device via a recording medium such as a flash memory. The learning algorithm determines the type of failure based on the information contained in the log data (for example, the name of the function called from the kernel or other software, the order of the called functions, the timing of the call, etc.). It is an algorithm that builds a learning model that can be classified into multiple patterns.

Then, as shown in FIG. 3 (b), it is assumed that the log data (4) is input as the log data to be discriminated into the type. In this case, as shown in FIG. 3B, the discriminating unit 104 of the information processing device 1 discriminates the type of log data (4), that is, the type of failure, using the learning model constructed by the external device. do. At this time, since the learning model constructed by the external device is a model capable of discriminating whether the type of log data is a failure (1) to a failure (3), the discriminating unit 104 uses the log data ( It is determined whether the type of 4) is a failure (1) to a failure (3). Note that the log data to be discriminated by the learning model may not be all the log data generated by the information processing apparatus 1, but may be a part of the log data. For example, the backtrace function name or log type (AAA driver, EEE library, etc.) is used as training data.

In the example shown in FIG. 3B, the discrimination unit 104 determines that the type of log data (4) is the obstacle (2) by using the learning model.

In the example shown in FIG. 3, the case where the discriminating unit 104 discriminates the type of failure with respect to the log data by using the learning model has been described, but the present invention is not limited to this. For example, if the type of failure can be uniquely determined by the last called function name or the like in the log data, the type of failure may be determined without using the learning model. In this case, even if a failure occurs, for some types of failures, the process of determining the type of failure using the learning model can be omitted, so that the main memory 503 of the information processing device 1 and The load on the CPU 501 can be suppressed.

Further, as the determination of the type of log data by the learning model, the type of failure is determined, but the present invention is not limited to this, and for example, the type of the driver that outputs the log may be used.

(Processing when kernel panic occurs)
FIG. 4 is a flowchart showing an example of a flow of processing when a kernel panic occurs in the information processing apparatus according to the embodiment. The kernel panic occurrence processing of the information processing apparatus 1 according to the present embodiment will be described with reference to FIG. When a kernel panic occurs, the information processing device 1 executes the kernel panic occurrence processing shown in FIG.

<Step S11>
The writing unit 105 of the information processing device 1 determines whether or not the non-volatile memory 502 has sufficient free space. Specifically, the writing unit 105 determines whether or not the free capacity of the non-volatile memory 502 is equal to or greater than a predetermined value. When the non-volatile memory 502 has sufficient free space (when the free space of the non-volatile memory 502 is equal to or larger than a predetermined value) (step S11: Yes), the process proceeds to step S12, and when there is not enough free space (nonvolatile). When the free space of the sex memory 502 is less than a predetermined value) (step S11: No), the process proceeds to step S13.

<Step S12>
When the non-volatile memory 502 has sufficient free space, the writing unit 105 uses the log data (log data stored in the main memory 503) generated by the occurrence of the kernel panic as a dump file 30 in the non-volatile memory 502. Write to. Then, the process proceeds to step S14.

<Step S13>
When the non-volatile memory 502 does not have sufficient free space, the writing unit 105 uses the log data (log data stored in the main memory 503) generated by the occurrence of the kernel panic as a dump file 30 in the non-volatile memory 502. Overwrites and writes the data stored in (for example, an old dump file). For example, as shown in FIG. 2, a plurality of dump files 30 may be stored in the non-volatile memory 502, and the writing unit 105 stores the log data generated by the occurrence of the kernel panic in the non-volatile memory. Of the past dump files 30 stored in the 502, the old dump file 30 is overwritten and written as a new dump file 30. Then, the process proceeds to step S14.

<Step S14>
The writing unit 105 sets a flag indicating that a kernel panic has occurred. That is, the writing unit 105 writes the flag information indicating that the kernel panic has occurred to the non-volatile memory 502. Then, the process proceeds to step S15.

<Step S15>
The restart unit 107 of the information processing device 1 restarts the information processing device 1. Then, the process when a kernel panic occurs is terminated.

As described above, when the kernel panic occurs and the non-volatile memory 502 does not have sufficient free space, the information processing apparatus 1 overwrites the old data with the dump file 30 and writes the data. As a result, the dump file 30 relating to the kernel panic can be reliably stored in the non-volatile memory 502, and useful dump information can be reliably left in the non-volatile memory 502.

(Data judgment processing)
FIG. 5 is a flowchart showing an example of the flow of data determination processing of the information processing apparatus according to the embodiment. The data determination process of the information processing apparatus 1 according to the present embodiment will be described with reference to FIG. After restarting, the information processing device 1 executes the data determination process shown in FIG.

<Step S21>
After restarting, the second determination unit 103 of the information processing device 1 determines whether or not a flag indicating that a kernel panic has occurred is set. That is, the second determination unit 103 determines whether or not the flag information indicating that the kernel panic has occurred is stored in the non-volatile memory 502. If the flag is set (step S21: Yes), the process proceeds to step S22, and if the flag is not set (step S21: No), the data determination process is terminated.

<Step S22>
The second determination unit 103 determines whether or not a new dump file 30 is stored in the non-volatile memory 502 when the flag indicating that the kernel panic has occurred is set. When the new dump file 30 is saved in the non-volatile memory 502 (step S22: Yes), the process proceeds to step S23, and when the new dump file 30 is not saved (step S22: No), the data determination process is performed. To finish.

<Step S23>
The discriminating unit 104 of the information processing device 1 reads the learning model 40 constructed in advance from the ROM 504, and uses the learning model 40 to select the type of the above-mentioned new dump file 30 stored in the non-volatile memory 502. Determine. Then, the process proceeds to step S24.

<Step S24>
Then, the first determination unit 102 determines whether or not a dump file 30 of the same type as the new dump file 30 determined by the determination unit 104 exists in the non-volatile memory 502. If the dump file 30 of the same type exists (step S24: Yes), the process proceeds to step S25, and if the dump file 30 of the same type does not exist (step S24: No), the process proceeds to step S26.

<Step S25>
When a dump file 30 of the same type as the new dump file 30 exists in the non-volatile memory 502, the deletion unit 106 deletes the new dump file 30 from the non-volatile memory 502. This is because if the non-volatile memory 502 already has a dump file 30 of the same type, the dump file 30 can be used as dump information used for correcting and improving defects in the kernel, driver, and the like. Further, the deletion unit 106 deletes the flag information determined by the second determination unit 103 to be stored in the non-volatile memory 502.

The deletion unit 106 is not limited to deleting the new dump file 30, and may delete the dump file 30 of the same type whose existence has been confirmed. In this case, since the new dump file 30 is left in the non-volatile memory 502, the latest dump information can be used for fixing and improving defects in the kernel, driver, and the like.

Then, the data determination process is terminated.

<Step S26>
When the dump file 30 of the same type as the new dump file 30 does not exist in the non-volatile memory 502, the writing unit 105 associates the type determined by the determining unit 104 in step S23 with the new dump file 30. , Stored in the non-volatile memory 502. In this case, in order to associate the new dump file 30 with the type determined by the determination unit 104, the writing unit 105 may assign a type to the header of the dump file 30 and manage it separately. A table (list) for association may be created and managed. Further, the deletion unit 106 deletes the flag information determined by the second determination unit 103 to be stored in the non-volatile memory 502. As a result, in the process of step S24 in the next data determination process, the first determination unit 102 can use it to determine whether or not the dump file 30 of the same type exists in the non-volatile memory 502. Then, the data determination process is terminated.

(Log saving process when an error occurs)
FIG. 6 is a diagram showing an example of a flow of log storage processing when an error occurs in the information processing apparatus according to the embodiment. The log saving process when an error occurs in the information processing apparatus 1 according to the present embodiment will be described with reference to FIG. The information processing device 1 executes the log saving process when an error occurs as shown in FIG. 6, for example, when the load of the CPU 501 is sufficient, when the main memory 503 does not have sufficient free space, or every time a certain period of time elapses. do. Here, for example, when the free space of the main memory 503 or the capacity of the storage area for log data in the main memory 503 is less than a predetermined value, it is determined that the main memory 503 does not have a sufficient free space. do it.

<Step S31>
The second determination unit 103 of the information processing device 1 determines whether or not the log data (dump file 30) is stored in the non-volatile memory 502. When the log data is stored in the non-volatile memory 502 (step S31: Yes), the process proceeds to step S32, and when the log data is not stored in the non-volatile memory 502 (step S31: No), the process proceeds to step S34. do.

<Step S32>
When the log data (dump file 30) is stored in the non-volatile memory 502, the discriminating unit 104 of the information processing device 1 reads the learning model 40 constructed in advance from the ROM 504, and uses the learning model 40 to read the log data (dump file 30). The type of log data stored in the main memory 503 is determined. Then, the process proceeds to step S33.

<Step S33>
The first determination unit 102 of the information processing device 1 reads out the log data (dump file 30) stored in the non-volatile memory 502. In this case, the first determination unit 102 reads out the type (type of failure) associated with the log data (dump file 30). Then, the process proceeds to step S35.

<Step S34>
When the log data (dump file 30) is not stored in the non-volatile memory 502, the discriminating unit 104 of the information processing device 1 reads the pre-built learning model 40 from the ROM 504 and uses the learning model 40 to read the log data (dump file 30). The type of log data stored in the main memory 503 is determined. Then, the process proceeds to step S37.

<Step S35>
Then, the first determination unit 102 determines whether or not the log data (dump file 30) of the same type as the log data type determined by the determination unit 104 exists in the non-volatile memory 502. If the same type of log data (dump file 30) exists (step S35: Yes), the process proceeds to step S36, and if the same type of log data (dump file 30) does not exist (step S35: No), step S37 Move to.

<Step S36>
When the same type of log data (dump file 30) as the type of log data determined by the determination unit 104 exists in the non-volatile memory 502, the deletion unit 106 deletes the log data stored in the main memory 503. , The log data is not stored in the non-volatile memory 502. If the non-volatile memory 502 already has the same type of log data (dump file 30), the log data (dump file 30) can be used as dump information used for fixing and improving defects in the kernel, driver, and the like. Because.

The deletion unit 106 is not limited to deleting the log data stored in the main memory 503. For example, the deletion unit 106 writes while deleting the log data whose existence has been confirmed in the non-volatile memory 502. The log data stored in the main memory 503 may be written to the non-volatile memory 502 by the unit 105. In this case, since new log data (log data stored in the main memory 503) is left in the non-volatile memory 502 as a dump file 30, the latest dump information can be used for fixing and improving defects in the kernel, driver, and the like. ..

Then, the log saving process when an error occurs is terminated.

<Step S37>
Write when the log data is not saved in the non-volatile memory 502, or when the log data (dump file 30) of the same type as the log data type determined by the discriminating unit 104 does not exist in the non-volatile memory 502. The unit 105 stores the log data stored in the main memory 503 in the non-volatile memory 502 as a dump file 30 in association with the type determined by the determination unit 104. In this case, in order to associate the log data with the type determined by the determination unit 104, the writing unit 105 may assign a type to the header of the log data and manage it, and separately for association. You may create and manage the table (list) of. As a result, in the process of step S35 in the log saving process at the time of the next error occurrence, the first determination unit 102 is used to determine whether or not the same type of log data (dump file 30) exists in the non-volatile memory 502. can do. Then, the log saving process when an error occurs is terminated.

(PC hardware configuration)
FIG. 7 is a diagram showing a hardware configuration of a PC as an example of the information processing device according to the embodiment. Here, the hardware configuration when the information processing apparatus 1 is a PC will be described with reference to FIG. 7.

As shown in FIG. 7, the PC1a as an example of the information processing device 1 includes a CPU 601, a ROM 602, a RAM 603, an HD 604, an HDD controller 605, a display 606, an external device connection I / F608, and a network I /. It includes an F609, a keyboard 611, a pointing device 612, a DVD-RW (Digital Peripheral Disc Rewritable) 614, and a media I / F 616. These components are connected so as to be able to communicate with each other by a bus line 610 such as an address bus and a data bus.

The CPU 601 is an arithmetic unit that controls the operation of the entire PC 1a. The ROM 602 is a non-volatile storage device that stores a program used for driving the CPU 601 such as an IPL (Initial Program Loader). The RAM 603 is a volatile storage device used as a work area of the CPU 601.

The HD604 is a non-volatile storage device that stores various data such as programs. The HDD controller 605 is a device that controls reading or writing of various data to the HD 604 according to the control of the CPU 601.

The display 606 is a display device that displays various information such as a cursor, a menu, a window, characters, or an image. The external device connection I / F 608 is an interface for connecting various external devices. The external device in this case is, for example, a USB (Universal Serial Bus) memory, a printer, or the like. The network I / F609 is an interface for data communication using the network 2.

The keyboard 611 is an input device including a plurality of keys for inputting characters, numerical values, various instructions, and the like. The pointing device 612 is an input device that selects and executes various instructions, selects a processing target, moves a cursor, and the like.

The DVD-RW drive 614 is a device that controls reading or writing of various data to a DVD 613 as an example of a removable recording medium. The DVD 613 is, for example, a DVD-RW or a DVD-R (Digital Versatile Disc Recordable) or the like. The media I / F 616 is an interface that controls reading or writing (storage) of data to a recording medium 615 such as a flash memory.

In the configuration of the information processing device 1 shown in FIG. 1 described above, the CPU 501 corresponds to the CPU 601 shown in FIG. 7, the non-volatile memory 502 corresponds to the HD 604, and the main memory 503 corresponds to the RAM 603. , ROM 504 corresponds to ROM 602, and network I / F 505 corresponds to network I / F 609.

(Hardware configuration of MFP)
FIG. 8 is a diagram showing a hardware configuration of an MFP as an example of the information processing device according to the embodiment. Further, with reference to FIG. 8, a hardware configuration in the case where the information processing device 1 is an MFP will be described.

As shown in FIG. 8, the MFP 1b as an example of the information processing device 1 includes a controller 710, a short-range communication circuit 720, an engine control unit 730, an operation panel 740, and a network I / F 750. .. Of these, the controller 710 includes a CPU 701, which is the main part of the computer, a system memory (MEM-P) 702, a north bridge (NB) 703, a south bridge (SB) 704, an ASIC (Application Special Integrated Circuit) 706, and the like. It has a local memory (MEM-C) 707 which is a storage device, an HDD controller 708, and an HD709 which is a storage device, and is connected between the north bridge 703 and the ASIC 706 by an AGP (Accelerated Graphics Port) bus 721. It is composed.

The CPU 701 is a control device that controls the entire MFP 1b. The north bridge 703 is a bridge for connecting the CPU 701, the system memory 702, the south bridge 704, and the AGP bus 721, and has a memory controller that controls reading and writing to the system memory 702 and a PCI (Peripheral Component Interconnect). ) Has a master and an AGP target.

The system memory 702 includes a ROM 702a which is a memory for storing programs and data that realizes each function of the controller 710, and a RAM 702b which is used as a memory for drawing programs and data and a drawing memory at the time of memory printing. The program stored in the RAM 702b is a file in an installable format or an executable format and can be read by a computer such as a CD-ROM (Compact Disc Read Only Memory), a CD-R (Compact Disc Recordable), or a DVD. It may be configured to be recorded and provided on a possible recording medium.

The south bridge 704 is a bridge for connecting the north bridge 703 to a PCI device or a peripheral device. The ASIC 706 is an IC (Integrated Circuit) for image processing applications having hardware elements for image processing, and has a role of a bridge connecting the AGP bus 721, the PCI bus 722, the HDD controller 708, and the local memory 707, respectively. The ASIC 706 is a PCI target and an AGP master, an arbiter (ARB) that forms the core of the ASIC 706, a memory controller that controls the local memory 707, and a plurality of DMACs (Direct Memory Access Controllers) that rotate image data by hardware logic or the like. Also included is a PCI unit that transfers data between the scanner unit 731 and the printer unit 732 via the PCI bus 722. A USB interface or an IEEE 1394 (Institute of Electrical and Electronics Engineers 1394) interface may be connected to the ASIC 706.

The local memory 707 is a local memory used as a copy image buffer and a code buffer. The HD709 is a storage for accumulating image data, accumulating font data used at the time of printing, and accumulating forms. The HDD controller 708 is a device that controls reading or writing of data to the HD709 according to the control of the CPU 701.

The AGP bus 721 is a bus interface for a graphics accelerator card proposed to speed up graphics processing, and the graphics accelerator card can be speeded up by directly accessing the system memory 702 with high throughput. ..

The short-range communication circuit 720 is a communication circuit such as NFC (Near Field Communication) or Bluetooth (registered trademark). The short-range communication circuit 720 includes an antenna 720a.

The engine control unit 730 includes a scanner unit 731 and a printer unit 732.

The operation panel 740 displays a current setting value or a selection screen, etc., and receives a panel display unit 740a such as a touch panel that receives input from an operator, and a numeric keypad that receives setting values of conditions related to image formation such as density setting conditions. It also includes an operation unit 740b including a start key and the like for receiving a copy start instruction.

The controller 710 controls the entire MFP1b, and controls, for example, drawing, communication, input from the operation panel 740, and the like. The scanner unit 731 or the printer unit 732 includes an image processing portion such as error diffusion or gamma conversion.

The MFP1b can be selected by sequentially switching the document box function, the copy function, the printer function, and the facsimile function by the application switching key on the operation panel 740. When the document box function is selected, the document box mode is set, when the copy function is selected, the copy mode is set, when the printer function is selected, the printer mode is set, and when the facsimile mode is selected, the facsimile mode is set.

Further, the network I / F750 is an interface for data communication using the network 2. The short-range communication circuit 720, the engine control unit 730, and the network I / F 750 are electrically connected to the ASIC 706 via the PCI bus 722.

In the configuration of the information processing device 1 shown in FIG. 1 described above, the CPU 501 corresponds to the CPU 701 shown in FIG. 8, the non-volatile memory 502 corresponds to the HD709, and the main memory 503 corresponds to the RAM702b. , ROM 504 corresponds to ROM 702a, and network I / F 505 corresponds to network I / F 750.

As described above, in the information processing apparatus 1 according to the present embodiment, whether or not the same type of dump file exists in the non-volatile memory 502 with respect to the log data (including the dump file) when an error occurs, which is not limited to the kernel panic. If it exists, the non-volatile memory 502 is of the same type while deleting at least one of the log data at the time of the error and the dump file of the same type of the non-volatile memory 502. It is assumed that the dump file has been saved. As a result, information when an error occurs, which is not limited to a kernel panic, can be left as useful dump information on a limited storage area.

It should be noted that each function of the above-described embodiment can be realized by one or a plurality of processing circuits. Here, the "processing circuit" is a processor programmed to execute each function by software like a processor implemented by an electronic circuit, or an ASIC or DSP (Digital) designed to execute each function described above. It shall include devices such as Signal Processor), FPGA (Field-Programmable Gate Array), ASIC (System on a Chip), GPU (Graphics Processing Unit), and conventional circuit modules.

Further, in the above-described embodiment, when at least one of the functional units of the information processing apparatus 1 is realized by executing a program, the program is provided by being incorporated in a ROM or the like in advance. Further, the program executed by the information processing apparatus 1 according to the above-described embodiment is a file in an installable format or an executable format, and is a CD-ROM, a flexible disk (FD), a CD-R, a DVD, or an SD (Secure). It may be configured to be recorded and provided on a computer-readable recording medium such as a Digital) card. Further, the program executed by the information processing apparatus 1 according to the above-described embodiment may be stored on a computer connected to a network such as the Internet and provided by downloading via the network. Further, the program executed by the information processing apparatus 1 according to the above-described embodiment may be configured to be provided or distributed via a network such as the Internet. Further, the program executed by the information processing device 1 according to the above-described embodiment has a module configuration including at least one of the above-mentioned functional units, and the CPU is the above-mentioned storage device as the actual hardware. By reading and executing the program from, each of the above-mentioned functional units is loaded on the main storage device and generated.

1 Information processing device 1a PC
1b MFP
2 Network 30 Dump file 40 Learning model 101 Kernel part 102 1st judgment part 103 2nd judgment part 104 Judgment part 105 Writing part 106 Delete part 107 Restart part 501 CPU
502 Non-volatile memory 503 Main memory 504 ROM
505 Network I / F
510 Bus Line 601 CPU
602 ROM
603 RAM
604 HD
605 HDD controller 606 Display 608 External device connection I / F
609 Network I / F
610 Bass Line 611 Keyboard 612 Pointing Device 613 DVD
614 DVD-RW drive 615 media 616 media I / F
701 CPU
702 system memory (MEM-P)
702a ROM
702b RAM
703 Northbridge (NB)
704 Southbridge (SB)
706 ASIC
707 Local memory (MEM-C)
708 HDD controller 709 HD
710 Controller 720 Short-range communication circuit 720a Antenna 721 AGP bus 722 PCI bus 730 Engine control unit 731 Scanner unit 732 Printer unit 740 Operation panel 740a Panel display unit 740b Operation unit 750 Network I / F

JP-A-2007-172414

Claims (10)

A first storage unit that stores dump information indicating an error,
A discriminator that discriminates the type of log data when an error occurs,
A first determination unit that determines whether or not dump information of the same type as that determined by the determination unit exists in the first storage unit, and
When the first determination unit determines that the same type of dump information exists in the first storage unit, the deletion unit that deletes the log data when the error occurs, and the deletion unit.
When the first determination unit determines that the same type of dump information does not exist in the first storage unit, the log data at the time of the error is associated with the type determined by the determination unit as dump information. A writing unit that is stored in the first storage unit, and a writing unit that is stored in the first storage unit.
Information processing device equipped with. A second storage unit that stores log data when the error occurs,
A second determination unit that determines whether or not dump information is stored in the first storage unit, and
With more
The discriminating unit determines the type of log data stored in the second storage unit when the error occurs, and determines the type of log data.
When the first determination unit determines that the dump information is stored in the first storage unit by the second determination unit, the dump information of the same type as the type determined by the determination unit is the first. Determine if it exists in the storage unit,
When the first determination unit determines that the same type of dump information exists in the first storage unit, the deletion unit deletes the log data at the time of the error stored in the second storage unit. ,
When the second determination unit determines that the dump information does not exist in the first storage unit, or the first determination unit transfers the same type of dump information to the first storage unit. The information according to claim 1, wherein when it is determined that the information does not exist, the log data stored in the second storage unit is associated with the type determined by the determination unit and stored as dump information in the first storage unit. Processing equipment. Judgment operation by the second determination unit, determination operation of the type of log data when the error occurs by the determination unit, determination operation according to the determination result of the second determination unit by the first determination unit, by the deletion unit When the deletion operation according to the determination result of the first determination unit and the save operation according to each determination result of the second determination unit and the first determination unit by the writing unit satisfy the predetermined conditions. The information processing apparatus according to claim 2. The writing unit saves log data as new dump information in the first storage unit when a kernel panic occurs.
The information processing device according to claim 2 or 3, further comprising a restarting unit for restarting the information processing device after the new dump information is stored in the first storage unit by the writing unit. When the kernel panic occurs, the writing unit stores the log data at the time of the kernel panic as new dump information when the free space of the first storage unit is equal to or more than a predetermined value. The fourth aspect of claim 4, wherein the log data is stored in a unit, and when the free space is less than the predetermined value, the log data is overwritten with the dump information stored in the first storage unit as new dump information and stored. Information processing device. The second determination unit determines whether or not the new dump information is stored in the first storage unit after the restart by the restart unit.
When the second determination unit determines that the new dump information is stored in the first storage unit, the determination unit determines the type of the new dump information.
The first determination unit determines whether or not the same type of dump information as the type determined by the determination unit exists in the first storage unit.
When the first determination unit determines that the same type of dump information exists in the first storage unit, the deletion unit deletes the new dump information.
When the first determination unit determines that the same type of dump information does not exist in the first storage unit, the writing unit associates the type determined by the determination unit with the new dump information. The information processing apparatus according to claim 4 or 5, which is stored in the first storage unit. The writing unit stores log data as dump information in the first storage unit when the kernel panic occurs, and then writes flag information indicating that the kernel panic has occurred in the first storage unit.
When the flag information is stored in the first storage unit after the restart by the restart unit, the second determination unit determines whether or not the new dump information is stored in the first storage unit. Judging,
The deleted part is
When the first determination unit determines that the same type of dump information exists in the first storage unit, the new dump information is deleted, and then the flag information is deleted.
When the first determination unit determines that the same type of dump information does not exist in the first storage unit, the type determined by the determination unit by the writing unit is associated with the new dump information. The information processing apparatus according to claim 6, wherein the flag information is deleted after being stored in the first storage unit. The information processing device according to any one of claims 1 to 7, wherein the discriminating unit uses a learning model constructed by machine learning to discriminate the type of log data when an error occurs. A determination step to determine the type of log data when an error occurs, and
A determination step for determining whether or not the same type of dump information as the determined type exists in the first storage unit, and
When it is determined that the dump information of the same type exists in the first storage unit, the deletion step of deleting the log data at the time of the error occurrence and the deletion step
When it is determined that the dump information of the same type does not exist in the first storage unit, the log data at the time of the error is associated with the determined type and stored in the first storage unit as dump information. Write step and
Information processing method having. On the computer
A determination step to determine the type of log data when an error occurs, and
A determination step for determining whether or not the same type of dump information as the determined type exists in the first storage unit, and
When it is determined that the dump information of the same type exists in the first storage unit, the deletion step of deleting the log data at the time of the error occurrence and the deletion step
When it is determined that the dump information of the same type does not exist in the first storage unit, the log data at the time of the error is associated with the determined type and stored in the first storage unit as dump information. Write step and
A program to execute.

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