WO2022044603A1 - Dispositif de traitement d'informations, procédé de traitement d'informations, et programme de traitement d'informations - Google Patents

Dispositif de traitement d'informations, procédé de traitement d'informations, et programme de traitement d'informations Download PDF

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Publication number
WO2022044603A1
WO2022044603A1 PCT/JP2021/026638 JP2021026638W WO2022044603A1 WO 2022044603 A1 WO2022044603 A1 WO 2022044603A1 JP 2021026638 W JP2021026638 W JP 2021026638W WO 2022044603 A1 WO2022044603 A1 WO 2022044603A1
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Prior art keywords
read
data
reading
data group
order
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PCT/JP2021/026638
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English (en)
Japanese (ja)
Inventor
豊 大石
浩司 松村
理貴 近藤
優子 宇野
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富士フイルム株式会社
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Priority to JP2022545529A priority Critical patent/JPWO2022044603A1/ja
Publication of WO2022044603A1 publication Critical patent/WO2022044603A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G—PHYSICS
    • G11—INFORMATION STORAGE
    • G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
    • G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
    • G11B20/10—Digital recording or reproducing
    • G—PHYSICS
    • G11—INFORMATION STORAGE
    • G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
    • G11B20/00—Signal processing not specific to the method of recording or reproducing; Circuits therefor
    • G11B20/10—Digital recording or reproducing
    • G11B20/18—Error detection or correction; Testing, e.g. of drop-outs
    • G—PHYSICS
    • G11—INFORMATION STORAGE
    • G11B—INFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
    • G11B27/00—Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
    • G11B27/10—Indexing; Addressing; Timing or synchronising; Measuring tape travel

Definitions

  • the disclosed technology relates to information processing devices, information processing methods, and information processing programs.
  • the following techniques are known as techniques for determining the reading order in order to improve the reading efficiency of the data recorded on the magnetic tape.
  • the same data is multiplexed (redundantly) and recorded in order to reduce the risk of data loss.
  • the disclosed technology has been made in view of the above circumstances, and compares the shortening of the reading time when reading a plurality of data to be read from a plurality of magnetic tapes in which a plurality of data are multiplexed and recorded.
  • the purpose is to realize it by simple calculation.
  • the information processing apparatus When the information processing apparatus according to the disclosed technique reads a plurality of data to be read from a plurality of magnetic tapes in which a plurality of data are multiplexed and recorded, the data group to be read and the data to be read are read for each of the plurality of magnetic tapes. It includes at least one processor that derives the reading order of the data group. The processor derives the reading order when reading a plurality of data to be read from one of a plurality of magnetic tapes by using a predetermined order derivation algorithm, and a part of the data group in which the derived reading order is continuous.
  • the processor may derive a data group including the data at the beginning of the derived reading order as a data group to be read from the one magnetic tape and the other magnetic tape. Further, the processor may derive a data group including the data at the end of the derived reading order as a data group to be read from the one magnetic tape and the other magnetic tape.
  • the processor may derive a group of data to be read so that the number or size of data read from the magnetic tape differs among the plurality of magnetic tapes.
  • the processor controls each of the plurality of tape drives corresponding to each of the plurality of magnetic tapes to read in parallel according to the reading order of the read data group derived for the corresponding magnetic tape and the read data group. You may go.
  • the information processing method is a data group to be read and a read for each of a plurality of magnetic tapes when a plurality of data to be read are read from a plurality of magnetic tapes in which a plurality of data are multiplexed and recorded.
  • a part of the data group having a continuous read order is derived as a data group to be read from the one magnetic tape, and the remaining data of the plurality of data to be read is the other data of the plurality of magnetic tapes.
  • the reading order when reading from one is derived using the same or different order derivation algorithm as the above order derivation algorithm, and a part of the data group in which the derived reading order is continuous is obtained from the other magnetic tape.
  • the information processing program When the information processing program according to the disclosed technique reads a plurality of data to be read from a plurality of magnetic tapes in which a plurality of data are multiplexed and recorded, the data group to be read and the data to be read are read for each of the plurality of magnetic tapes.
  • An information processing program for causing at least one processor included in an information processing apparatus to execute a process of deriving the reading order of a data group, and reads a plurality of data to be read from one of a plurality of magnetic tapes.
  • the reading order of the case is derived using a predetermined order derivation algorithm, and a part of the data group in which the derived reading order is continuous is derived as a data group to be read from the one magnetic tape, and a plurality of data to be read are derived.
  • the reading order when reading the remaining data from the other one of the plurality of magnetic tapes is derived using the same or different order derivation algorithm as the above order derivation algorithm, and the derived reading order is The process of deriving a part of a continuous data group as a data group to be read from the other magnetic tape is repeated until the data group to be read and the reading order of the data group are derived for each of the plurality of magnetic tapes.
  • FIG. 1 is a diagram showing a configuration of a recording / playback system 1 according to an embodiment of the disclosed technology.
  • the recording / playback system 1 includes an information processing device 10 and a tape library 20.
  • the tape library 20 includes a plurality of slots (not shown) and a plurality of tape drives 40, and each slot stores a magnetic tape 30.
  • Each of the plurality of tape drives 40 is connected to the information processing device 10.
  • An example of the magnetic tape 30 is an LTO (Linear Tape-Open) tape.
  • the target magnetic tape 30 When recording (writing) or reading data on the magnetic tape 30, the target magnetic tape 30 is loaded into the tape drive 40 from the slot. When the recording or reading of the data on the magnetic tape 30 loaded in the tape drive 40 is completed, the magnetic tape 30 is taken out from the tape drive 40 and stored in a predetermined slot.
  • FIG. 1 illustrates a configuration in which the tape library 20 includes three tape drives 40, but the number of tape drives included in the tape library 20 can be increased or decreased as appropriate.
  • the three tape drives exemplified in FIG. 1 are referred to separately, they are referred to as tape drives 40A, 40B, and 40C.
  • the magnetic tapes loaded in the tape drives 40A, 40B, and 40C are referred to as magnetic tapes 30A, 30B, and 30C, respectively.
  • the same data is multiplexed (redundantly) and recorded on a plurality of magnetic tapes 30.
  • the same data is multiplexed (redundantly) and recorded on the magnetic tapes 30A, 30B, and 30C, respectively. That is, a plurality of data that are the same as the plurality of data recorded on the magnetic tape 30A are also recorded on the magnetic tapes 30B and 30C.
  • the recording positions of the plurality of data recorded on the magnetic tapes 30A, 30B, and 30C on the magnetic tape may be the same or different between the magnetic tapes.
  • the information processing device 10 controls recording and reading of data on the magnetic tape 30.
  • the tape drive 40 controls the tape drive 40 to read a plurality of data to be read in parallel from the plurality of magnetic tapes 30 in which the data is multiplexed and recorded. Do it against.
  • the information processing apparatus 10 derives a data group to be read for each of the magnetic tapes 30A, 30B, and 30C, and derives a reading order of the data group to be read. Further, the information processing apparatus 10 controls the tape drives 40A, 40B, and 40C to perform reading in parallel according to the reading order of the data group to be read and the data group to be read, which are derived for each of the magnetic tapes 30A, 30B, and 30C. Do it.
  • FIG. 2 is a diagram showing a hardware configuration of the information processing apparatus 10.
  • the information processing device 10 includes a CPU (Central Processing Unit) 101, a memory 102 as a temporary storage area, and a non-volatile storage unit 103. Further, the information processing apparatus 10 includes a display unit 104 such as a liquid crystal display, an input unit 105 including an input device such as a keyboard and a mouse, a network interface 106 connected to a network, and an external interface 107 to which a tape drive 40 is connected.
  • the CPU 101, the memory 102, the storage unit 103, the display unit 104, the input unit 105, the network interface 106, and the external interface 107 are connected to the bus 108.
  • the storage unit 103 is realized by a storage medium such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a flash memory.
  • the information processing program 110 is stored in the storage unit 103.
  • the write log 120 is stored in the storage unit 103.
  • the identification information of the data recorded on the magnetic tape 30 is recorded for each magnetic tape 30. That is, by referring to the write log 120, it is possible to grasp which data is recorded on which magnetic tape 30.
  • the CPU 101 reads the information processing program 110 from the storage unit 103, expands the information processing program 110 into the memory 102, and executes the program.
  • An example of the information processing apparatus 10 is a server computer or the like.
  • CPU101 is an example of a processor in the disclosed technology.
  • FIG. 3 is a functional block diagram showing an example of a functional configuration in which the information processing apparatus 10 reads a plurality of data to be read from the magnetic tape 30 housed in the tape library 20.
  • the information processing apparatus 10 includes a reception unit 11, a specific unit 12, a derivation unit 13, and a control unit 14.
  • the reception unit 11 receives an instruction to read the data recorded on the magnetic tape 30 housed in the tape library 20.
  • the reading instruction is issued from a user terminal (not shown) or the like connected to the information processing apparatus 10 via a network.
  • the reading instruction is transmitted to the information processing apparatus 10 with the identification information of the data to be read.
  • the specific unit 12 among the magnetic tapes 30 housed in the tape library 20, a plurality of data to be read related to the read instruction received by the reception unit 11 are multiplexed based on the information recorded in the write log 120.
  • the plurality of magnetic tapes 30 recorded in the above are specified.
  • the specifying unit 12 identifies the magnetic tapes 30A, 30B, and 30C as a plurality of magnetic tapes 30 in which a plurality of data to be read are multiplexed and recorded.
  • the specifying unit 12 instructs the tape library 20 to load the specified magnetic tapes 30A, 30B, 30C into the tape drives 40A, 40B, 40C. As a result, the magnetic tapes 30A, 30B, and 30C are loaded into the tape drives 40A, 40B, and 40C, respectively.
  • the specifying unit 12 specifies the recording position of each of the plurality of data to be read for each of the magnetic tapes 30A, 30B, and 30C.
  • the magnetic tapes 30A, 30B, and 30C have an area in which index information such as a file name of recorded data, a recording date and time, and a recording position on the magnetic tape is recorded.
  • the specifying unit 12 can specify the recording position of each of the plurality of data to be read on the magnetic tape by referring to the index information for each of the magnetic tapes 30A, 30B, and 30C. It is assumed that the plurality of data to be read are recorded at positions separated from each other on the magnetic tape. Further, it is assumed that the recording positions of the plurality of data to be read on the magnetic tape are different among the magnetic tapes 30A, 30B, and 30C.
  • the derivation unit 13 derives the data group to be read from the magnetic tape and the reading order of the data group among the plurality of data to be read for each of the magnetic tapes 30A, 30B, and 30C. In other words, the derivation unit 13 determines which data is read from which magnetic tape among the plurality of data to be read, and determines the reading order of the data group to be read for each of the magnetic tapes 30A, 30B, and 30C. do.
  • the derivation unit 13 derives the reading order when reading a plurality of data to be read from the magnetic tape 30A by using a predetermined order derivation algorithm, and derives a part of the data group in which the derived reading order is continuous. It is derived as a data group to be read from the magnetic tape 30A.
  • FIG. 4 is a diagram showing an example of a reading order when a plurality of data to be read are read from the magnetic tape 30.
  • each hatched area is an area on the magnetic tape 30 on which the data D to be read is recorded.
  • the arrow indicates the movement path of the magnetic head (not shown) included in the tape drive 40 relative to the magnetic tape 30.
  • the magnetic tape 30 is configured to include a plurality of wraps, which are band-shaped recording areas along the tape traveling direction.
  • the magnetic head heads in the direction from the BOT (Beginning Of Tape) to the EOT (End Of Tape) with respect to the magnetic tape 30.
  • BOT Beginning Of Tape
  • EOT End Of Tape
  • the data D to be read is read while moving relative to each other (in the forward direction).
  • the magnetic head moves relative to the magnetic tape 30 in the direction (reverse direction) from the EOT to the BOT. Read the data D to be read.
  • the derivation unit 13 sets the reading order (movement path of the magnetic head) for efficiently reading a plurality of data to be read recorded over a plurality of laps of the magnetic tape 30A, for example, the nearest neighbor method and pairwise. Derivation is performed using a known order derivation algorithm such as an exchange method.
  • the nearest neighbor method is a method of reading a plurality of data to be read in order from the data closest to the magnetic head.
  • the pairwise exchange method is a method of evaluating the read time by changing the read order of the last read data in the read order determined by the nearest neighbor method to the order between the first or other consecutive data.
  • the pairwise exchange method is a method of determining the reading order with the shortest evaluated reading time as the optimum reading order.
  • the nearest neighbor method and the pairwise exchange method are also described in JP2012-128937A.
  • the derivation unit 13 derives a part of the data group to be read from the magnetic tape 30A as a data group to be read from the magnetic tape 30A, among the plurality of data to be read. For example, when the number of data to be read is 300, the derivation unit 13 reads, for example, 100 data groups having a continuous reading order from the magnetic tape 30A, including the data at the beginning of the reading order derived for the magnetic tape 30A. Derived as a data group. For example, when the reading efficiency is higher as the reading order derived by using the order derivation algorithm is closer to the beginning, the data group including the data at the beginning of the reading order is derived as a data group to be read from the magnetic tape 30A. The reading time of the data to be read from the magnetic tape 30A can be shortened.
  • the derivation unit 13 when the reading efficiency is substantially constant from the beginning to the end of the reading order derived by using the order derivation algorithm, the derivation unit 13 includes the data at the end of the reading order derived for the magnetic tape 30A. For example, 100 data groups having a continuous reading order may be derived as a data group to be read from the magnetic tape 30A. Further, in this case, the derivation unit 13 derives, for example, 100 data groups that do not include the head data and the end data, have a reading order at an intermediate position, and have a continuous reading order, as a data group to be read from the magnetic tape 30A. You may.
  • the derivation unit 13 After deriving the data group to be read and the reading order thereof for the magnetic tape 30A, the derivation unit 13 derives the remaining plurality of data among the plurality of data to be read (that is, a plurality of data other than the data group read from the magnetic tape 30A).
  • the reading order when the data) is read from the magnetic tape 30B is derived by using a predetermined order derivation algorithm.
  • the derivation unit 13 sets the reading order for efficiently reading the remaining plurality of data among the plurality of data to be read recorded over the plurality of laps of the magnetic tape 30B, for example, the nearest neighbor method and the reading order. Derivation is performed using a known order derivation algorithm such as the pairwise exchange method.
  • the order derivation algorithm used for deriving the reading order on the magnetic tape 30B may be the same as or different from the order deriving algorithm used for deriving the reading order on the magnetic tape 30A.
  • the derivation unit 13 derives a part of the remaining data among the plurality of data to be read from the magnetic tape 30B as a data group to be read from the magnetic tape 30B in a continuous reading order. ..
  • the derivation unit 13 magnetically out of the remaining 200 data to be read.
  • 100 data groups having a continuous reading order including the data at the beginning of the reading order derived for the tape 30B are derived as a data group to be read from the magnetic tape 30B.
  • the derivation unit 13 may derive, for example, 100 data groups having a continuous reading order, including the data at the end of the reading order derived for the magnetic tape 30B, as a data group to be read from the magnetic tape 30B. Further, the derivation unit 13 may derive, for example, 100 consecutive data groups whose reading order is in the middle position, which do not include the head data and the tail data, as a data group to be read from the magnetic tape 30B.
  • the derivation unit 13 After deriving the data group to be read and the reading order thereof for the magnetic tape 30B, the derivation unit 13 does not include the remaining plurality of data (that is, the data group to be read from the magnetic tapes 30A and 30B) among the plurality of data to be read.
  • the reading order when reading a plurality of data) from the magnetic tape 30C is derived by using a predetermined order derivation algorithm.
  • the derivation unit 13 sets the reading order for efficiently reading the remaining plurality of data among the plurality of data to be read recorded over the plurality of laps of the magnetic tape 30C, for example, the nearest neighbor method. And a known order derivation algorithm such as a pairwise exchange method is used for derivation.
  • the order derivation algorithm used for deriving the reading order on the magnetic tape 30C may be the same as or different from the order deriving algorithm used for deriving the reading order on the magnetic tapes 30A and 30B.
  • the derivation unit 13 derives a data group consisting of the remaining plurality of data among the plurality of data to be read as a data group to be read from the magnetic tape 30C. For example, when the number of data to be read is 300 and the number of data derived as the data group to be read from the magnetic tapes 30A and 30B is 100, the derivation unit 13 reads the remaining 100 data on the magnetic tape. Derived as a data group read from 30C.
  • the derivation unit 13 determines the reading order when the plurality of data to be read are read from one of the plurality of magnetic tapes in which the plurality of data to be read are multiplexed and recorded. It is derived using an order derivation algorithm, and a part of the data group in which the derived reading order is continuous is derived as a data group to be read from the one magnetic tape.
  • the derivation unit 13 has the same or different reading order as the above-mentioned order derivation algorithm when the remaining plurality of data among the plurality of data to be read are read from the other one of the plurality of magnetic tapes.
  • the control unit 14 controls each of the tape drives 40A, 40B, and 40C to read in parallel according to the reading order of the read data group and the read data group derived for each of the magnetic tapes 30A, 30B, and 30C. I do.
  • the tape drive 40A reads a plurality of data derived as a data group to be read from the magnetic tape 30A from the magnetic tape 30A in the reading order derived for the magnetic tape 30A.
  • the tape drive 40B reads a plurality of data derived as a data group to be read from the magnetic tape 30B from the magnetic tape 30B in the reading order derived for the magnetic tape 30B.
  • the tape drive 40C reads a plurality of data derived as a data group read from the magnetic tape 30C from the magnetic tape 30C in the reading order derived for the magnetic tape 30C.
  • the derivation unit 13 may derive the data group to be read so that the number or size of the data read from the magnetic tapes 30A, 30B, and 30C is the same among the magnetic tapes. For example, when the reading performances of the tape drives 40A, 40B, 40C are the same and the reading efficiency is substantially constant from the beginning to the end of the reading order derived by using the order derivation algorithm, the magnetic tapes 30A, 30B, It is preferable to derive a data group to be read so that the number or size of the data to be read from 30C is the same between the magnetic tapes. This makes it possible to reduce the difference in time required for reading data in the tape drives 40A, 40B, and 40C.
  • the derivation unit 13 may derive the data group to be read so that the number or size of the data read from the magnetic tapes 30A, 30B, and 30C differs between the magnetic tapes.
  • the derivation unit 13 may derive the data group to be read so that the number or size of the data read from the magnetic tapes 30A, 30B, and 30C differs between the magnetic tapes.
  • the data group to be read it is preferable to derive the data group to be read so that the number or size of the data read by the higher performance tape drive becomes larger.
  • the reading efficiency is lowered as the reading order derived by using the order derivation algorithm is closer to the end, the number or size of the data read from the magnetic tape 30C that finally derives the reading order and the data group to be read. It is preferable to derive the data group to be read so that This makes it possible to reduce the difference in time required for reading data in the tape drives 40A, 40B, and 40C.
  • the derivation unit 13 uses a pairwise method as an order derivation algorithm used for deriving the reading order of the data to be read for the magnetic tape 30C that finally derives the reading order and the data group to be read, and the reading order and the reading data group.
  • the nearest neighbor method may be used as the order derivation algorithm used for deriving the reading order of the data to be read for the magnetic tapes 30A and 30B other than the magnetic tape 30C which is finally derived.
  • FIG. 5 is a flowchart showing an example of a processing flow executed by the CPU 101 executing the information processing program 110.
  • the information processing program 110 is executed, for example, when a data read request is issued from a user terminal (not shown).
  • step S1 the reception unit 11 receives an instruction to read the data recorded on the magnetic tape 30 housed in the tape library 20.
  • the reading instruction is given the identification information of the data to be read.
  • step S2 the identification unit 12 has a plurality of data to be read related to the read instruction received in step S1 based on the information recorded in the write log 120 among the magnetic tapes 30 housed in the tape library 20. A plurality of magnetic tapes 30 that have been multiplexed and recorded are specified.
  • step S3 the specifying unit 12 instructs the tape library 20 to load the plurality of magnetic tapes 30 specified in step S2 into the tape drive 40.
  • the plurality of magnetic tapes 30 in which the plurality of data to be read are multiplexed and recorded are loaded into the tape drive 40, respectively.
  • step S4 the specifying unit 12 refers to the index information recorded in the predetermined area of each magnetic tape for each of the plurality of magnetic tapes 30 specified in step S2, so that each of the plurality of data to be read is read.
  • the recording position on each magnetic tape 30 of the above is specified.
  • step S5 the derivation unit 13 performs a derivation process for deriving the reading order of the data group to be read from the magnetic tape and the data group to be read for each of the plurality of magnetic tapes specified in step S2.
  • FIG. 6 is a flowchart showing the details of the derivation process performed in step S5.
  • the derivation process will be described with reference to the flowchart of FIG.
  • step S11 the derivation unit 13 determines the reading order when reading a plurality of data to be read from one of the plurality of magnetic tapes specified in step S2, such as the nearest neighbor method and the pairwise exchange method. Derived using an order derivation algorithm.
  • step S12 the derivation unit 13 derives a part of the data group to be read from the plurality of data to be read in the continuous reading order derived in step S11 as a data group to be read from the one magnetic tape 30.
  • step S13 the derivation unit 13 determines the reading order when reading the remaining plurality of data among the plurality of data to be read from the other one of the plurality of magnetic tapes 30 specified in step S2. , The nearest neighbor method, the pairwise exchange method, and other known order derivation algorithms are used for derivation.
  • step S14 the derivation unit 13 derives a part of the remaining data derived in step S13 in the continuous reading order as a data group to be read from the other magnetic tape 30.
  • step S15 the derivation unit 13 determines whether or not the process of deriving the reading order of the data to be read and the process of deriving the data group to be read have been completed for all of the plurality of magnetic tapes 30 specified in step S2. judge. If there is a magnetic tape 30 for which the above processing has not been completed, the processing is returned to step S13, and the processing of steps S13 and S14 is performed for the magnetic tape for which the processing has not been completed. On the other hand, when the process of deriving the reading order of the data to be read and the process of deriving the data group to be read are completed for all of the plurality of magnetic tapes 30 specified in step S2, the process is the step of the flowchart shown in FIG. Move to S6.
  • step S6 the control unit 14 performs readings for each tape drive 40 in parallel according to the reading order of the read data group and the read data group derived for each of the plurality of magnetic tapes 30 specified in step S2. Control to make it.
  • Each of the tape drives 40 reads data from the magnetic tape 30 loaded therein according to the contents derived in step S5.
  • a plurality of data to be read from a plurality of magnetic tapes in which a plurality of data are multiplexed and recorded can be read from a plurality of tape drives 40. Is used to control reading in parallel. As a result, the time required for reading the data can be shortened as compared with the case where a plurality of data to be read are read by using a single tape drive 40.
  • the reading time is the shortest.
  • the combination having the shortest reading time is calculated by rounding, and the combination having the shortest reading time is derived from the combination.
  • the number of combinations is enormous and the calculation time is enormous, which is not realistic.
  • the information processing apparatus 10 sets the reading order in the case of reading a plurality of data to be read from one of a plurality of magnetic tapes in which the data to be read is multiplexed and recorded. It is derived using a derivation algorithm, and a part of the data group in which the derived reading order is continuous is derived as a data group to be read from the one magnetic tape. Then, when the remaining plurality of data among the plurality of data to be read are read from the other one of the plurality of magnetic tapes, the reading order is the same as or different from the above-mentioned order derivation algorithm.
  • the process of deriving a part of the data group derived by using and having a continuous read order is derived as a data group to be read from the other magnetic tape is performed for each of the plurality of magnetic tapes to read the data group and read. Repeat until the reading order of the data group is derived.
  • the information processing apparatus 10 individually performs a process of determining the reading order and the data to be read for each of the plurality of magnetic tapes in which the data to be read is multiplexed and recorded.
  • the method according to the present embodiment is, so to speak, a method of accumulating partial optimization, and although the data reading efficiency may be lower than that of the round-robin method aiming at total optimization, reading of each of a plurality of magnetic tapes is possible. It is possible to significantly reduce the calculation time required to derive the sequence and the data group to be read.
  • the reading time can be shortened when a plurality of data to be read are read from a plurality of magnetic tapes in which a plurality of data are multiplexed and recorded. It can be realized by a relatively simple calculation.
  • the various processors include a CPU, which is a general-purpose processor that executes software (program) and functions as various processing units, and a processor whose circuit configuration can be changed after manufacturing an FPGA or the like. It includes a dedicated electric circuit, which is a processor having a circuit configuration specially designed for executing a specific process such as a programmable logic device (PLD), an ASIC (Application Specific Integrated Circuit), and the like.
  • PLD programmable logic device
  • ASIC Application Specific Integrated Circuit
  • One processing unit may be composed of one of these various processors, or a combination of two or more processors of the same type or different types (for example, a combination of a plurality of FPGAs or a combination of a CPU and an FPGA). It may be composed of a combination). Further, a plurality of processing units may be configured by one processor.
  • one processor is configured by a combination of one or more CPUs and software, as represented by a computer such as a client and a server.
  • the processor functions as a plurality of processing units.
  • SoC System on Chip
  • the various processing units are configured by using one or more of the above-mentioned various processors as a hardware-like structure.
  • an electric circuit in which circuit elements such as semiconductor elements are combined can be used.
  • the information processing program 110 is stored (installed) in the storage unit 103 in advance, but the present invention is not limited to this.
  • the information processing program 110 is provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), and a USB (Universal Serial Bus) memory. May be good. Further, the information processing program 110 may be downloaded from an external device via a network.

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Abstract

Ce dispositif de traitement d'informations : utilise un algorithme de dérivation d'ordre prescrit pour dériver un ordre de lecture lors de la lecture d'une pluralité d'éléments de données à lire parmi une pluralité de bandes magnétiques sur lesquelles une pluralité d'éléments de données sont multiplexés et enregistrés ; dérive, en tant que groupe de données à lire à partir de la bande magnétique, un groupe de données partiel pour lequel l'ordre de lecture dérivé est consécutif ; utilise l'algorithme de dérivation de commande pour dériver un ordre de lecture lors de la lecture, à partir d'une autre parmi la pluralité de bandes magnétiques, d'une pluralité d'éléments de données restants parmi la pluralité d'éléments de données à lire ; et dérive, en tant que groupe de données lu à partir de l'autre bande magnétique, un groupe de données partiel pour lequel l'ordre de lecture dérivé est consécutif.
PCT/JP2021/026638 2020-08-27 2021-07-15 Dispositif de traitement d'informations, procédé de traitement d'informations, et programme de traitement d'informations WO2022044603A1 (fr)

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JP2012128937A (ja) * 2010-12-16 2012-07-05 Internatl Business Mach Corp <Ibm> テープ媒体に格納されたデータのアクセス・シーケンスを決定するための方法、システム、およびコンピュータ・プログラム
US20170371563A1 (en) * 2016-06-28 2017-12-28 International Business Machines Corporation Method for retrieving data from a tape drive
US20200065022A1 (en) * 2018-08-21 2020-02-27 International Business Machines Corporation Management of a multi-library storage system

Patent Citations (3)

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JP2012128937A (ja) * 2010-12-16 2012-07-05 Internatl Business Mach Corp <Ibm> テープ媒体に格納されたデータのアクセス・シーケンスを決定するための方法、システム、およびコンピュータ・プログラム
US20170371563A1 (en) * 2016-06-28 2017-12-28 International Business Machines Corporation Method for retrieving data from a tape drive
US20200065022A1 (en) * 2018-08-21 2020-02-27 International Business Machines Corporation Management of a multi-library storage system

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