CN110009104A - A kind of information processing method and information processing unit - Google Patents

A kind of information processing method and information processing unit Download PDF

Info

Publication number
CN110009104A
CN110009104A CN201910253030.6A CN201910253030A CN110009104A CN 110009104 A CN110009104 A CN 110009104A CN 201910253030 A CN201910253030 A CN 201910253030A CN 110009104 A CN110009104 A CN 110009104A
Authority
CN
China
Prior art keywords
data
information processing
output characteristic
input
analysis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910253030.6A
Other languages
Chinese (zh)
Inventor
孙英达
胡泽志
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Lenovo Beijing Ltd
Original Assignee
Lenovo Beijing Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Lenovo Beijing Ltd filed Critical Lenovo Beijing Ltd
Priority to CN201910253030.6A priority Critical patent/CN110009104A/en
Publication of CN110009104A publication Critical patent/CN110009104A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/02Knowledge representation; Symbolic representation
    • G06N5/022Knowledge engineering; Knowledge acquisition
    • G06N5/025Extracting rules from data

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The embodiment of the present application discloses a kind of information processing method and information processing unit, which comprises the data characteristics obtained in one preset duration of record memory device;Based on the analysis to the data characteristics, the relevant input-output characteristic of corresponding to data characteristics data is obtained.It passes through the data characteristics obtained in one preset duration of record memory device;Just the relevant input-output characteristic of corresponding to data characteristics data can be obtained based on the analysis to the data characteristics.Namely, after obtaining data characteristics in a manner of record, the input-output characteristic of the corresponding data of the data characteristics that can be recorded, to recommend or choose for electronic equipments such as the compatible servers of the input-output characteristic, it avoids simple dependence from going out the data characteristic obtained from upper layer input/output interface to be chosen, and then it chooses and arrives most suitable electronic equipment, and guarantee that the electronic equipment chosen can play best performance.

Description

A kind of information processing method and information processing unit
Technical field
This application involves field of information processing, especially a kind of information processing method and information processing unit.
Background technique
Currently, many clients when buying server, be frequently not be well aware of the data type of oneself business, or Only know the data type of oneself upper-layer service, still, the data type of lower layer's disk can not be accurately held.Therefore very When more, the component of selection is not to meet very much type of service, so that it cannot play the top performance of server.In the prior art It is tested generally by upper layer software (applications), counts the characteristic of oneself business, still, this method is actually acquisition business end data Feature, rather than the characteristics of oneself business datum, and then can not still select the server for meeting type of service.
Summary of the invention
In view of the above-mentioned problems in the prior art, the embodiment of the present application, which provides one kind, can accurately obtain data Input-output characteristic information processing method and information processing unit.
Information processing method provided by the embodiments of the present application, comprising:
The data characteristics obtained in one preset duration of record memory device;
Based on the analysis to the data characteristics, it is special to obtain the relevant input and output of corresponding to data characteristics data Property.
It is described to record the data spy obtained in one preset duration of storage device in some embodiments of the present application Sign, comprising:
Record the data received in one preset duration of storage device;
Based on the analysis to the data, the corresponding data characteristics of the data is obtained.
In some embodiments of the present application, the analysis based on to the data obtains the corresponding number of the data According to feature, comprising:
Analysis based on the data determines the data type of the data;
Type based on the data determines the corresponding data characteristics of the data.
It is described to obtain the relevant input of corresponding to data characteristics data in some embodiments of the present application Output characteristics, comprising:
Obtaining the data is mainly continuous type input-output characteristic data or mainly stochastic pattern input-output characteristic number According to.
It is described if the data are mainly stochastic pattern input-output characteristic data in some embodiments of the present application After obtaining the relevant input-output characteristic of corresponding to data characteristics data, the method also includes:
Based on the analysis of the stochastic inputs output characteristics to the data, the distribution character of the data is determined, wherein institute State the quantity that distribution character includes the corresponding data block of normal data amount, the number of the corresponding abnormal data block of abnormal data amount Amount has shared by ratio and the abnormal data block of the shared all data blocks of data block difference of identical normal data amount At least one of ratio of all data blocks.
The embodiment of the present application also provides a kind of information processing units, comprising:
Logging modle is used for the data characteristics obtained in one preset duration of record memory device;
Processing module is used to obtain data corresponding with the data characteristics based on the analysis to the data characteristics Relevant input-output characteristic.
In some embodiments of the present application, the logging modle is specifically used for:
Record the data received in one preset duration of storage device;
The processing module is also used to: based on the analysis to the data, obtaining the corresponding data characteristics of the data.
In some embodiments of the present application, the processing module is specifically used for:
Analysis based on the data determines the data type of the data;
Type based on the data determines the corresponding data characteristics of the data.
In some embodiments of the present application, the processing module also particularly useful for:
Obtaining the data is mainly continuous type input-output characteristic data or mainly stochastic pattern input-output characteristic number According to.
In some embodiments of the present application, the processing module also particularly useful for:
If the data are mainly stochastic pattern input-output characteristic data;Then,
Based on the analysis of the stochastic inputs output characteristics to the data, the distribution character of the data is determined, wherein institute State the quantity that distribution character includes the corresponding data block of normal data amount, the number of the corresponding abnormal data block of abnormal data amount Amount has shared by ratio and the abnormal data block of the shared all data blocks of data block difference of identical normal data amount At least one of ratio of all data blocks.
Compared with prior art, the beneficial effect of the embodiment of the present application is: when it is preset by record memory device one The data characteristics obtained in length;Just number corresponding with the data characteristics can be obtained based on the analysis to the data characteristics According to relevant input-output characteristic.It is, after obtaining data characteristics in a manner of record, the data that can be recorded The input-output characteristic of the corresponding data of feature, to recommend or choose for compatible server of the input-output characteristic etc. Electronic equipment avoids simple dependence from going out the data characteristic obtained from upper layer input/output interface and is chosen, and then chooses and arrive Most suitable electronic equipment, and guarantee that the electronic equipment chosen can play best performance.
Detailed description of the invention
Fig. 1 is the flow chart of information processing method provided by the embodiments of the present application;
Fig. 2 is the block diagram of information processing unit provided by the embodiments of the present application.
Specific embodiment
To make those skilled in the art better understand the technical solution of the application, with reference to the accompanying drawing and specific embodiment party Formula elaborates to the application.
The various schemes and feature of the application are described herein with reference to attached drawing.
By the description of the preferred form with reference to the accompanying drawings to the embodiment for being given as non-limiting example, the application's These and other characteristic will become apparent.
It is also understood that although the application is described referring to some specific examples, those skilled in the art Member realizes many other equivalents of the application in which can determine, they have feature as claimed in claim and therefore all In the protection scope defined by whereby.
When read in conjunction with the accompanying drawings, in view of following detailed description, above and other aspect, the feature and advantage of the application will become It is more readily apparent.
The specific embodiment of the application is described hereinafter with reference to attached drawing;It will be appreciated, however, that the embodiment invented is only Various ways implementation can be used in the example of the application.Known and/or duplicate function and structure is simultaneously not described in detail with basis True intention is distinguished in the operation of the history of user, and unnecessary or extra details is avoided to make the application smudgy.Cause This, the specific structural and functional details invented herein are not intended to restriction, but as just the base of claim Plinth and representative basis are used to that those skilled in the art to be instructed diversely to use this Shen with substantially any appropriate detailed construction Please.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment In " or " in other embodiments ", it can be referred to one or more of the identical or different embodiment according to the application.
Information processing method provided by the embodiments of the present application, comprising:
The data characteristics obtained in one preset duration of record memory device;
Based on the analysis to the data characteristics, it is special to obtain the relevant input and output of corresponding to data characteristics data Property.
By above-mentioned information processing method it is found that it is special by the data obtained in one preset duration of record memory device Sign;Just the relevant input and output of corresponding to data characteristics data can be obtained based on the analysis to the data characteristics Characteristic.It is, after obtaining data characteristics in a manner of record, the corresponding data of the data characteristics that can be recorded Input-output characteristic avoids list to recommend or choose for electronic equipments such as the compatible servers of the input-output characteristic Pure dependence goes out the data characteristic obtained from upper layer input/output interface and is chosen, and then chooses and set to most suitable electronics It is standby, and guarantee that the electronic equipment chosen can play best performance.
In order to simpler, detailed understanding above-mentioned technical proposal, below with reference to embodiment and attached drawing to above-mentioned Information processing method is described in detail.
As shown in FIG. 1, FIG. 1 is the flow chart of information processing method provided by the embodiments of the present application, the information processing side Method can be applied to an electronic equipment, wherein the electronic equipment has storage device, and storage device can be (read-only for ROM Memory), NAND (flash memory), which comprises
Step 101: the data characteristics obtained in one preset duration of record memory device.Specifically, the record memory device The data characteristics obtained in one preset duration can be there are two implementation, wherein the first is, with the storage device not The data in a preset duration are recorded in another same storage device, wherein the data can put into operation for one and work as In electronic equipment (can be server) in data, be also possible to be debugged electronic equipment (can for clothes Be engaged in device) in data obtain corresponding data characteristics by analyzing the data in another storage device, and will To data characteristics be recorded in the storage device;Another kind is to be recorded by the storage device to data, equally , which may be the data put into the electronic equipment (can be server) in operation, or be positive Data in a debugged electronic equipment (can be server), it is in the present embodiment, described to record the storage dress Set the data characteristics obtained in a preset duration, comprising: record the data received in one preset duration of storage device;Base In the analysis to the data, the corresponding data characteristics of the data is obtained.Wherein, preset duration can for 3 days, 7 days or 30 days etc., and can be the data only recorded in the preset duration time by the storage device, when exceeding preset duration Between data can be covered automatically, still, the corresponding data characteristics of capped data can be saved, or only be saved capped The corresponding data characteristics of data statistical conditions.
In some embodiments of the present application, the analysis based on to the data obtains the corresponding number of the data According to feature, comprising: analysis based on the data determines the data type of the data;Type based on the data determines institute State the corresponding data characteristics of data.It wherein, may include to being stored in other than the storage device to the analysis of the data Data in another storage device are analyzed, the data type may include data be data based on Large Volume Data or It is the data based on random low capacity data, certainly, if data based on Large Volume Data, then can recommend or choose Cloud storage service device based on storing, and if data can be recommended or be chosen in terms of cloud based on random low capacity data Cloud computing server based on calculation.In addition, the analysis to data further includes holding every time to when uploading data or write-in data Capable order and relevant parameter etc. are analyzed, and obtain this with the relationship between the order and relevant parameter by forward-backward correlation The input-output characteristic of subcommand and the corresponding data of relevant parameter, in the present embodiment, the data may include but unlimited In IO source SAS address (IO SAS source address), dest.SAS address (address target SAS), IO deep (IO queue depth), data frame size (data frame sign), and then these Command (order), frame can be passed through (frame) and info (information) determine that the data are specially to order, data frame or parameter information, and then determine described The corresponding input-output characteristic of data, as an example, the data obtained can be with are as follows: E:read 3B, buffer ID, buffer This data information of offsize, allocation length.In the present embodiment, if being additionally provided with board in electronic equipment (HBA, RAID), then it is also that data record to board (HBA, RAID) is interior, at this point, can include but is not limited in the data: IO source SAS address (IO SAS source address), dest.SAS address (address target SAS), pending Status (waiting), IO deep, data frame size, Stripe size, write though mode, Command Frame info (E:read 3B, buffer ID, buffer offsize, allocation length), by record The analysis of data characteristics in board obtains the input-output characteristic of the corresponding data of the data characteristics in board.At this In embodiment, the storage device to storing data feature can be a specific memory space, wherein the specific storage Be spatially located in the electronic equipment using this method, the specific memory space can not other electronic equipments access and only For storing the information of the electronic equipment own system, can be NAND (flash memory).
Step 102: based on the analysis to the data characteristics, it is relevant defeated to obtain data corresponding to the data characteristics Enter output characteristics.
It is described to obtain the relevant input of corresponding to data characteristics data in some embodiments of the present application Output characteristics, comprising: obtaining the data is mainly continuous type input-output characteristic data or mainly stochastic pattern input and output Performance data.And then can be by the determining data mainly continuous type input-output characteristic data or mainly with Type input-output characteristic data, that determines to be chosen (or recommendation) can be with the mainly continuous type input and output Performance data or the mainly compatible storage device of stochastic pattern input-output characteristic data and/or server, and then to use Family provides equipment (storage device, server etc.) compatible with the practical business of user.In the present embodiment, by note The analysis for recording the data characteristics obtained in one preset duration of storage device obtains the corresponding data of stored data feature in quilt It is written and is logic-based block data of the connected reference from neighbor address one by one during being read, and then can be true The fixed data are mainly continuous type input-output characteristic data, specifically, the corresponding business of continuous type input-output characteristic data Mainly there are data backup and log recording etc.;If the corresponding data of stored data feature are continuous in read-write operation, still, Corresponding access address is discontinuous, then just determining that the data are mainly stochastic pattern input-output characteristic data, specifically, at random The corresponding business of type input-output characteristic data mainly has OLTP service, SQL, instant message service etc..
It is described if the data are mainly stochastic pattern input-output characteristic data in some embodiments of the present application After obtaining the relevant input-output characteristic of corresponding to data characteristics data, the method also includes: based on to described The analysis of the stochastic inputs output characteristics of data, determines the distribution character of the data, wherein the distribution character includes normal The quantity of the corresponding data block of data volume, the quantity of the corresponding abnormal data block of abnormal data amount have identical normal number In ratio according to all data blocks shared by the ratio of the shared all data blocks of data block difference of amount and the abnormal data block At least one.And then related technical personnel can be kept more quasi- according to the determining corresponding specific distribution character of the data It is really connected to the input-output characteristic of the how corresponding data of user's practical business, and then preferably chooses (recommendation) for user and uses The compatible equipment of the practical business at family, improves the satisfaction of user.In the present embodiment, and the data block of normal data amount can Think the data volume such as 4K, 8K, 16K, 64K and 128K etc., is read out with generally in reading data with block (block) Mode it is corresponding, wherein block is 4K, and the corresponding abnormal data block of abnormal data amount can for such as 7K, 13K, 17K with And the data volumes such as 121K, and then after obtaining the corresponding distribution character of the data, it can be right respectively according to normal data amount The quantity for the data block answered, the quantity of the corresponding abnormal data block of abnormal data amount, the data block with identical normal data amount At least one of the ratio of all data blocks shared by the ratio of all data blocks shared by respectively and the abnormal data block, The electronic equipment (storage device and/or server) to match with above-mentioned distribution character is determined, as an example, as foundation obtains To the distribution characters of data learn that it is 90% that wherein the 8K data block in normal data amount, which accounts for the ratio of all data blocks, that It can determine, when handling the data, mainly based on processing 8K data block, and then can choose (recommendation) can Preferably processing electronic equipment compatible with the input-output characteristic of the data.In addition, as the distribution according to obtained data is special Property can also learn that corresponding abnormal data block (data block of for example, data volume 7K, 13K etc.) accounts for whole in the data The ratio of data block be 1%, it is possible to think abnormal data block present in the data account for all data blocks ratio it is inclined Prompt information can be generated in height, to remind presence in the corresponding upper layer data of data described in user that can change by the prompt information Into space, wherein the corresponding distribution character statistical information of the data can be accompanied in the prompt information.
The embodiment of the present application also provides a kind of information processing units, comprising:
Logging modle 1 is used for the data characteristics obtained in one preset duration of record memory device;
Processing module 2 is used to obtain data corresponding with the data characteristics based on the analysis to the data characteristics Relevant input-output characteristic.
In the present embodiment, above-mentioned logging modle is equipped with a secondary processor, and the secondary processor is to complete logarithm Accordingly and the record of data characteristics, and the processing module, equipped with a primary processor, above-mentioned primary processor is to complete logarithm Accordingly and the analysis of data characteristics is handled, and mitigates the burden of the primary processor, by being equipped with secondary processor to avoid influence Accordingly and the process performance of data characteristics to primary processor logarithm.
In some embodiments of the present application, the logging modle 1 is specifically used for: when recording the storage device one and presetting The data received in length;The processing module 2 is also used to: based on the analysis to the data, it is corresponding to obtain the data Data characteristics.
In some embodiments of the present application, the processing module 2 is specifically used for: analysis based on the data, determines The data type of the data;Type based on the data determines the corresponding data characteristics of the data.
In some embodiments of the present application, the processing module 2 also particularly useful for: it is mainly continuous to obtain the data Type input-output characteristic data or mainly stochastic pattern input-output characteristic data.
In some embodiments of the present application, the processing module 2 also particularly useful for: if the data are mainly stochastic pattern Input-output characteristic data;Then, the analysis based on the stochastic inputs output characteristics to the data, determines the distribution of the data Characteristic, wherein the distribution character includes the quantity of the corresponding data block of normal data amount, and abnormal data amount is corresponding different The quantity of regular data block, the ratio of shared all data blocks and described different respectively of the data block with identical normal data amount At least one of the ratio of all data blocks shared by regular data block.
Since the information processing apparatus that the present embodiment is introduced is set in the embodiment of the present application corresponding to the method for information processing Information processing unit, so, based on information processing method in the embodiment of the present application, those skilled in the art can understand this Apply embodiment in information processing unit specific embodiment and its various change form, so herein for the information at Reason device is no longer discussed in detail.As long as technical staff described in this field implements the information of information processing method in the embodiment of the present application Processing unit belongs to the range to be protected of the application.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processing module of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices with A machine is generated, so that generating use by the instruction that the processing module of computer or other programmable data processing devices executes In the function that realization is specified in one box or multiple boxes of one process or multiple processes and/or block diagrams of flow chart Device.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, The manufacture of device is enabled, which realizes in a side of one process or multiple processes and/or block diagrams of flow chart The function of being specified in frame or multiple boxes.
These computer program instructions can also be loaded into computer or other programmable data processing devices, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one process or multiple processes and/or block diagrams of flow chart One box or multiple boxes in specify function the step of.
Above embodiments are only the exemplary embodiment of the application, are not used in limitation the application, the protection scope of the application It is defined by the claims.Those skilled in the art can make respectively the application in the essence and protection scope of the application Kind modification or equivalent replacement, this modification or equivalent replacement also should be regarded as falling within the scope of protection of this application.

Claims (10)

1. a kind of information processing method, comprising:
The data characteristics obtained in one preset duration of record memory device;
Based on the analysis to the data characteristics, the relevant input-output characteristic of corresponding to data characteristics data is obtained.
2. information processing method according to claim 1, wherein described record in one preset duration of storage device obtains The data characteristics arrived, comprising:
Record the data received in one preset duration of storage device;
Based on the analysis to the data, the corresponding data characteristics of the data is obtained.
3. information processing method according to claim 2, the analysis based on to the data, obtain the data pair The data characteristics answered, comprising:
Analysis based on the data determines the data type of the data;
Type based on the data determines the corresponding data characteristics of the data.
4. information processing method according to claim 1, described to obtain data corresponding to the data characteristics relevant The input-output characteristic, comprising:
Obtaining the data is mainly continuous type input-output characteristic data or mainly stochastic pattern input-output characteristic data.
5. information processing method according to claim 4, if the data are mainly stochastic pattern input-output characteristic data, Then it is described obtain the relevant input-output characteristic of corresponding to data characteristics data after, the method also includes:
Based on the analysis of the stochastic inputs output characteristics to the data, the distribution character of the data is determined, wherein described point Cloth characteristic includes the quantity of the corresponding data block of normal data amount, the quantity of the corresponding abnormal data block of abnormal data amount, Shared by the ratio of the shared all data blocks of data block difference with identical normal data amount and the abnormal data block all At least one of ratio of data block.
6. a kind of information processing unit, comprising:
Logging modle is used for the data characteristics obtained in one preset duration of record memory device;
Processing module is used to that it is related to obtain data corresponding to the data characteristics based on the analysis to the data characteristics Input-output characteristic.
7. information processing unit according to claim 6, the logging modle is specifically used for:
Record the data received in one preset duration of storage device;
The processing module is also used to: based on the analysis to the data, obtaining the corresponding data characteristics of the data.
8. information processing unit according to claim 7, the processing module is specifically used for:
Analysis based on the data determines the data type of the data;
Type based on the data determines the corresponding data characteristics of the data.
9. information processing unit according to claim 6, the processing module also particularly useful for:
Obtaining the data is mainly continuous type input-output characteristic data or mainly stochastic pattern input-output characteristic data.
10. information processing unit according to claim 9, the processing module also particularly useful for:
If the data are mainly stochastic pattern input-output characteristic data;Then,
Based on the analysis of the stochastic inputs output characteristics to the data, the distribution character of the data is determined, wherein described point Cloth characteristic includes the quantity of the corresponding data block of normal data amount, the quantity of the corresponding abnormal data block of abnormal data amount, Shared by the ratio of the shared all data blocks of data block difference with identical normal data amount and the abnormal data block all At least one of ratio of data block.
CN201910253030.6A 2019-03-29 2019-03-29 A kind of information processing method and information processing unit Pending CN110009104A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910253030.6A CN110009104A (en) 2019-03-29 2019-03-29 A kind of information processing method and information processing unit

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910253030.6A CN110009104A (en) 2019-03-29 2019-03-29 A kind of information processing method and information processing unit

Publications (1)

Publication Number Publication Date
CN110009104A true CN110009104A (en) 2019-07-12

Family

ID=67168980

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910253030.6A Pending CN110009104A (en) 2019-03-29 2019-03-29 A kind of information processing method and information processing unit

Country Status (1)

Country Link
CN (1) CN110009104A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110412484A (en) * 2019-07-31 2019-11-05 昆山联滔电子有限公司 Equipment power supply monitoring method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1586063A (en) * 2002-04-02 2005-02-23 松下电器产业株式会社 Stream data processing device, stream data processing method, program, and medium
CN101599978A (en) * 2009-07-17 2009-12-09 杭州华三通信技术有限公司 Resource allocation methods and equipment
CN104321754A (en) * 2012-12-21 2015-01-28 华为技术有限公司 Method and device for setting working mode of Cache
CN104584486A (en) * 2012-09-04 2015-04-29 三菱电机株式会社 Distributed I/O control system, distributed I/O control method, and master station and slave station of distributed I/O control system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1586063A (en) * 2002-04-02 2005-02-23 松下电器产业株式会社 Stream data processing device, stream data processing method, program, and medium
CN101599978A (en) * 2009-07-17 2009-12-09 杭州华三通信技术有限公司 Resource allocation methods and equipment
CN104584486A (en) * 2012-09-04 2015-04-29 三菱电机株式会社 Distributed I/O control system, distributed I/O control method, and master station and slave station of distributed I/O control system
CN104321754A (en) * 2012-12-21 2015-01-28 华为技术有限公司 Method and device for setting working mode of Cache

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄文胜: "《VMware vSphere虚拟化数据中心的实现与管理》", 30 June 2016, 重庆大学出版社 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110412484A (en) * 2019-07-31 2019-11-05 昆山联滔电子有限公司 Equipment power supply monitoring method

Similar Documents

Publication Publication Date Title
US10726356B1 (en) Target variable distribution-based acceptance of machine learning test data sets
US10861117B2 (en) Server-side, variable drive health determination
US10204017B2 (en) Variable drive health determination and data placement
CN110347744A (en) Date storage method, device and the equipment of multilayer block chain type account book
US20190158367A1 (en) Selection of cloud service providers to host applications
US10713162B1 (en) System and method for computer data garbage collection acceleration using peer to peer data transfers
US11461503B2 (en) Service processing method and apparatus
CN105117489B (en) Database management method and device and electronic equipment
CN110009104A (en) A kind of information processing method and information processing unit
CN107632779A (en) Data processing method and device, server
CN105893198A (en) Method and device for testing KVM stability
CN110362569A (en) The method of calibration and device of tables of data, electronic equipment, storage medium
WO2016173172A1 (en) Method and apparatus for detecting heap memory operation
CN109460312A (en) Request the processing method and processing device of failure
US10360192B1 (en) Method and apparatus for identifying database I/O activity
KR102258078B1 (en) Method and apparatus for determining abnormal user
CN117009196A (en) Performance test method, test device and test platform for enterprise-level solid state disk
US10346064B1 (en) Managing compression based on a compression profile of host data initially residing on a source storage array
CN106990998B (en) Virtual machine monitoring method and device
US9600415B1 (en) Method, apparatus, and computer program stored in computer readable medium for managing storage server in database system
CN109146558A (en) A kind of method and apparatus identifying spurious motion step number
US10585584B2 (en) Virtual keyboard
US8966132B2 (en) Determining a mapping mode for a DMA data transfer
CN108228560A (en) A kind of determining method and device of data type
US8977814B1 (en) Information lifecycle management for binding content

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190712

RJ01 Rejection of invention patent application after publication