CN104346221B

CN104346221B - Server hardware device grade classification, schedule management method and device, server

Info

Publication number: CN104346221B
Application number: CN201310335053.4A
Authority: CN
Inventors: 胡殿明; 杨文君; 胡光; 魏伟
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2013-08-02
Filing date: 2013-08-02
Publication date: 2018-05-08
Anticipated expiration: 2033-08-02
Also published as: CN104346221A

Abstract

The present invention proposes a kind of server hardware device rank division method, including：Obtain the status information of multiple server hardware devices；According to the status information of hardware device and the healthy weight of preset model computing hardware equipment；The corresponding Health Category information of multiple server hardware devices is determined according to the healthy weight of hardware device and multiple default weight sectors.This method carries out Health Category key words sorting availability rank under large-scale application environment to server hardware device, increases the utilization rate of High Availabitity resource, reduces the failure rate and failure cost of low available resources, improves the reliability of server and group system；It can support service hierarchies at the same time, important service is placed on the server of High Availabitity, improve the validity for carrying out power managed to server hardware device according to Health Category.The invention also discloses a kind of server hardware device grade classification device, the schedule management method and device, server of a kind of server hardware device.

Description

Server hardware device grade classification, schedule management method and device, server

Technical field

The present invention relates to field of computer technology, the rank division method and dress of more particularly to a kind of server hardware device Put, the schedule management method of server hardware device and device, server.

Background technology

At present, it is configured with millions of server hardwares in ultra-large data center, every ten thousand distributed type assemblies Equipment, in specification, performance, in the service life, degree of aging and running environment aspect difference are obvious, but do not carry out effective area to it Divide and use.For example, for hard disk, all hard disks identified by operating system are all unified to be deposited as block device file Data are stored up, so distinguish that distinguishes stores the mode of data collectively as block device file based on no, may will be important Data be saved in the hard disk of incipient fault, it is also possible to unessential data can be saved in the good hard disk of performance state, Hard disk resources performance cannot be efficiently used, meanwhile, before hard disk breaks down, it is impossible to timely and effectively shift data, cause The loss of hard disc data, it is impossible to avoid risk in time.

The content of the invention

Present invention aims at least solve one of above-mentioned technological deficiency.

For this reason, first purpose of the invention is to propose a kind of server hardware device rank division method, this method is led to Cross the status information for obtaining multiple server hardware devices, and the status information according to multiple server hardware devices and default mould Type calculates the healthy weight of multiple server hardware devices, finally according to the healthy weight of multiple server hardware devices and multiple Default weight sector divides and determines the corresponding Health Category information of multiple server hardware devices.Second purpose of the invention exists In a kind of server hardware device grade classification device of proposition.3rd purpose of the invention is to propose that a kind of server hardware is set Standby schedule management method.4th purpose of the invention is to propose a kind of dispatching managing device of server hardware device.This The 5th purpose is invented to be to propose a kind of server.

To achieve the above object, the server hardware device grade classification side of embodiment according to a first aspect of the present invention Method, including：Obtain the status information of multiple server hardware devices；According to the status information of the multiple server hardware device Calculate the healthy weight of the multiple server hardware device respectively with preset model；And according to the multiple server hardware The healthy weight of equipment and multiple default weight sectors determine the corresponding Health Category information of the multiple server hardware device.

Server hardware device rank division method according to embodiments of the present invention, obtains multiple server hardwares and sets first Standby status information, status information and preset model further according to multiple server hardware devices calculate multiple servers respectively should The healthy weight of hardware device, finally determines according to the healthy weight of multiple server hardware devices and multiple default weight sectors The corresponding Health Category information of multiple server hardware devices.This method is hard to server by under large-scale application environment Part equipment carries out Health Category classification so as to achieve the purpose that to mark availability rank, on the one hand increases the utilization of High Availabitity resource Rate, reduces the failure rate and failure cost of low available resources, improves server and the Performance And Reliability of group system；The opposing party Face passes through server hardware grade classification,Important service is placed on the server of High Availabitity, there is server hardware device The validity of power managed and the high efficiency for performing task.

To achieve the above object, the server hardware device grade classification dress of embodiment according to a second aspect of the present invention Put, including：State information acquisition module, for obtaining the status information of multiple server hardware devices；Computing module, for root The multiple server hardware device is calculated respectively according to the status information and preset model of the multiple server hardware device Healthy weight；And grade classification module, for the healthy weight according to the multiple server hardware device and multiple default Weight sector determines the corresponding Health Category information of the multiple server hardware device.

Server hardware device grade classification device according to embodiments of the present invention, passes through state information acquisition module first The status information of multiple server hardware devices is obtained, further according to the status information and preset model of multiple server hardware devices The healthy weight that multiple servers answer hardware device is calculated respectively by computing module, eventually through grade classification module according to more The healthy weight of a server hardware device and multiple default weight sectors determine the corresponding health of multiple server hardware devices Class information.The device is by under large-scale application environment, carrying out server hardware device Health Category classification so as to reach To mark availability rank purpose, on the one hand increase High Availabitity resource utilization rate, reduce low available resources failure rate and Failure cost, improves server and the Performance And Reliability of group system；On the other hand, will by server hardware grade classification Important service is placed on the server of High Availabitity, has the validity of server hardware device power managed with performing task High efficiency.

To achieve the above object, the management and running side of the server hardware device of embodiment according to a third aspect of the present invention Method, including：Obtain the status information of multiple server hardware devices；According to the status information of the multiple server hardware device The corresponding Health Category information of the multiple server hardware device is obtained respectively；And set according to the multiple server hardware Standby corresponding Health Category information is managed the multiple server hardware device.

The schedule management method of server hardware device according to embodiments of the present invention, obtains multiple server hardwares first The status information of equipment, sets further according to the corresponding multiple server hardwares of state information acquisition of multiple server hardware devices Standby Health Category information, finally according to the corresponding Health Category information of multiple server hardware devices to multiple server hardwares Equipment is managed.Multiple server hardware device divided ranks are made full use of server hardware device resource by this method, are had There are the high efficiency and ease for use using server hardware device resource, and reduce server hardware device failure rate and loss of data Risk, improve server hardware device storage data reliability and security.

To achieve the above object, the server hardware device management and running dress of embodiment according to a fourth aspect of the present invention Put, including：State information acquisition module, for obtaining the status information of multiple server hardware devices；Health Category information obtains Modulus block, for obtaining the multiple server hardware device respectively according to the status information of the multiple server hardware device Corresponding Health Category information；And management module, for according to the corresponding Health Category of the multiple server hardware device Information is managed the multiple server hardware device.

Server hardware device dispatching managing device according to embodiments of the present invention, passes through state information acquisition module first The status information of multiple server hardware devices is obtained, passes through health etc. further according to the status information of multiple server hardware devices Level data obtaining module obtains corresponding multiple server hardware device Health Category information, finally hard according to multiple servers The corresponding Health Category information of part equipment is managed multiple server hardware devices by management module.The device will be more A server hardware device divided rank, makes full use of server hardware device resource, has and is provided using server hardware device The high efficiency and ease for use in source, and server hardware device failure rate and the risk of loss of data are reduced, it is hard to improve server Part equipment stores the reliability and security of data.

To achieve the above object, the server of embodiment according to a fifth aspect of the present invention, including described in above-described embodiment Server hardware device dispatching managing device.

Server according to embodiments of the present invention, passes through the status information of server hardware device dispatching managing device first Acquisition module obtains the status information of multiple server hardware devices, leads to further according to the status information of multiple server hardware devices The Health Category data obtaining module for crossing server hardware device dispatching managing device obtains corresponding multiple server hardwares Equipment Health Category information, finally passes through server hardware according to the corresponding Health Category information of multiple server hardware devices The management module of equipment scheduling managing device is managed multiple server hardware devices.The server makes full use of server The server hardware device resource of managing hardware device device, have using server hardware device resource high efficiency with it is easy-to-use Property, and server hardware device failure rate and the risk of loss of data are reduced, improve the reliability and security of server.

The additional aspect of the present invention and advantage will be set forth in part in the description, and will partly become from the following description Obtain substantially, or recognized by the practice of the present invention.

Brief description of the drawings

Aspect of the present invention and/or additional and advantage will become from the following description of the accompanying drawings of embodiments Substantially and it is readily appreciated that, wherein：

Fig. 1 is the flow chart of server hardware device rank division method according to an embodiment of the invention；

Fig. 2 is the flow chart of server hardware device rank division method in accordance with another embodiment of the present invention；

Fig. 3 is the structure diagram of server hardware device grade classification device according to an embodiment of the invention；

Fig. 4 is the structure diagram of server hardware device grade classification device in accordance with another embodiment of the present invention；

Fig. 5 is the flow chart of the schedule management method of server hardware device according to an embodiment of the invention；

Fig. 6 is the flow chart of the schedule management method of server hardware device in accordance with another embodiment of the present invention；

Fig. 7 is the structure diagram of the dispatching managing device of server hardware device according to an embodiment of the invention；

Fig. 8 is the structure diagram of the dispatching managing device of server hardware device in accordance with another embodiment of the present invention； And

Fig. 9 is the structure diagram of server according to an embodiment of the invention.

Embodiment

The embodiment of the present invention is described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end Same or similar label represents same or similar element or has the function of same or like element.Below with reference to attached The embodiment of figure description is exemplary, and is only used for explaining the present invention, and is not considered as limiting the invention.On the contrary, this The embodiment of invention includes falling into all changes in the range of the spirit and intension of attached claims, modification and equivalent Thing.

In the description of the present invention, it is to be understood that term " first ", " second " etc. are only used for description purpose, without It is understood that to indicate or implying relative importance.In the description of the present invention, it is necessary to which explanation, provides unless otherwise clear and definite And restriction, term " connected ", " connection " should be interpreted broadly, for example, it may be fixedly connected or be detachably connected, Or it is integrally connected；Can mechanically connect or be electrically connected；It can be directly connected, intermediary can also be passed through It is indirectly connected.For the ordinary skill in the art, the tool of above-mentioned term in the present invention can be understood with concrete condition Body implication.In addition, in the description of the present invention, unless otherwise indicated, " multiple " are meant that two or more.

Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include Module, fragment or the portion of the code of the executable instruction of one or more the step of being used for realization specific logical function or process Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable Sequence, including according to involved function by it is basic at the same time in the way of or in the opposite order, carry out perform function, this should be of the invention Embodiment person of ordinary skill in the field understood.

Below with reference to the accompanying drawings server hardware device rank division method according to embodiments of the present invention and device, clothes are described The schedule management method and device, server of business device hardware device.

At present, it is configured with millions of server hardwares in ultra-large data center, every ten thousand distributed type assemblies Equipment, in specification, performance, in the service life, degree of aging and running environment aspect difference are obvious, but do not carry out effective area to it Divide and use.For example, for hard disk, all hard disks identified by operating system are all unified to be deposited as block device file Data are stored up, so distinguish that distinguishes stores the mode of data collectively as block device file based on no, may will be important Data be saved in the hard disk of incipient fault, it is also possible to unessential data can be saved in the good hard disk of performance state, Hard disk resources performance cannot be efficiently used, meanwhile, before hard disk breaks down, it is impossible to timely and effectively shift data, cause The loss of hard disc data, it is impossible to avoid risk in time, and when running environment changes, without the hard disk for actively protecting server Data, lack good ease for use.

For this reason, the present invention proposes a kind of server hardware device rank division method, include the following steps：Obtain multiple The status information of server hardware device；Calculated respectively according to the status information of multiple server hardware devices and preset model more The healthy weight of a server hardware device；And the healthy weight according to multiple server hardware devices and multiple default weights Section determines the corresponding Health Category information of multiple server hardware devices.

Fig. 1 is the flow chart of server hardware device rank division method according to an embodiment of the invention.

As shown in Figure 1, server hardware device rank division method, includes the following steps：

S101, obtains the status information of multiple server hardware devices.

In one embodiment of the invention, status information includes server hardware device temperature information, servo-information, magnetic One or more in header, medium information, motor information, I O error information and life information.Thus, state letter is improved The diversity of breath.

Specifically, by taking SATA hard disc as an example, status information includes the configuration specification information, temperature information, longevity of SATA hard disc Order information, fault message, and load information etc..For example, hard disc magnetic head is the critical component that hard disk reads data, it main Effect is exactly that the magnetic information being stored on hard disc is converted into electric signal outwards to transmit, and its operation principle is then to utilize The resistance value of special material can carry out the data of read-write discs on piece with the principle of changes of magnetic field, and the quality of hard disc magnetic head is in very great Cheng Decide the storage density of hard disc on degree, and for example, dangerous power-off number is the failure letter of hard disk for hard disk Breath.

It is understood that obtain the state letter of the status information only acquisition server hardware device for SATA hard disc The example of breath, the server hardware device in the status information of the acquisition server hardware device in the embodiment of the present invention are not limited to Can also be other server hardware devices for the example above of SATA hard disc.

In one embodiment of the invention, server hardware device CPU, memory, network interface card, power supply, hard disk and control Device.Thus, the diversity of server hardware device is improved.

S102, multiple server hardwares are calculated according to the status information of multiple server hardware devices and preset model respectively The healthy weight of equipment.

In one embodiment of the invention, preset model is to be obtained by machine learning.Thus, it is default to improve acquisition The accuracy of model.

S103, multiple servers are determined according to the healthy weight of multiple server hardware devices and multiple default weight sectors The corresponding Health Category information of hardware device.

In one embodiment of the invention, Health Category information includes the first Health Category information to the 5th Health Category Information, the corresponding multiple default weight sectors of the first Health Category information to the 5th Health Category information are respectively the first weight area Between to the 5th weight sector.Thus, the accuracy and ease for use of Health Category information are improved.

In one embodiment of the invention, the first weight sector is [0,0.05]；Second weight sector is（0.05, 0.2]；3rd weight sector is（0.2,0.5]；4th weight sector is（0.5,0.8]；And the 5th weight sector be（0.8, 1].Thus, the accuracy for the healthy weight for judging server hardware device is improved by weight sector.

Server hardware device rank division method according to embodiments of the present invention, obtains multiple server hardwares and sets first Standby status information, status information and preset model further according to multiple server hardware devices calculate multiple servers respectively should The healthy weight of hardware device, finally determines according to the healthy weight of multiple server hardware devices and multiple default weight sectors The corresponding Health Category information of multiple server hardware devices.This method is hard to server by under large-scale application environment Part equipment carries out Health Category classification so as to achieve the purpose that to mark availability rank, on the one hand increases the utilization of High Availabitity resource Rate, reduces the failure rate and failure cost of low available resources, improves server and the Performance And Reliability of group system；The opposing party Important service is placed on the server of High Availabitity by server hardware grade classification, has server hardware device by face The validity of power managed and the high efficiency for performing task.

Fig. 2 is the flow chart of server hardware device rank division method in accordance with another embodiment of the present invention.

As shown in Fig. 2, server hardware device rank division method, includes the following steps：

S201, obtains the status information of multiple server hardware devices.

S202, multiple server hardwares are calculated according to the status information of multiple server hardware devices and preset model respectively The healthy weight of equipment.

S203, multiple servers are determined according to the healthy weight of multiple server hardware devices and multiple default weight sectors The corresponding Health Category information of hardware device.

S204, examines multiple server hardware devices by server hardware device On-line Fault Detection instrument online Survey.

S205, is corrected the corresponding Health Category information of multiple server hardware devices according to on-line checking result.

To achieve these goals, the invention also provides a kind of server hardware device grade classification device.

A kind of server hardware device grade classification device, including：State information acquisition module, for obtaining multiple services The status information of device hardware device；Computing module, for the status information and preset model according to multiple server hardware devices The healthy weight of multiple server hardware devices is calculated respectively；And grade classification module, for according to multiple server hardwares The healthy weight of equipment and multiple default weight sectors determine the corresponding Health Category information of multiple server hardware devices.

Fig. 3 is the structure diagram of one embodiment server hardware device grade classification device according to the present invention.

As shown in figure 3, server hardware device grade classification device 30, including：State information acquisition module 310, calculates Module 320 and grade classification module 330.

In one embodiment of the invention, state information acquisition module 310 is used to obtain multiple server hardware devices Status information.

In one embodiment of the invention, computing module 320 is used to be believed according to the state of multiple server hardware devices Breath and preset model calculate the healthy weight of multiple server hardware devices respectively.Thus, acquisition server hardware is improved to set The accuracy of standby healthy weight.

In one embodiment of the invention, grade classification module 330 is used for according to the strong of multiple server hardware devices Kang Quanchong and multiple default weight sectors determine the corresponding Health Category information of multiple server hardware devices.Thus, pass through Level division module improves the high efficiency and ease for use using multiple server hardware devices.

Fig. 4 is the structure diagram of server hardware device grade classification device according to a further embodiment of the invention.

As shown in figure 4, server hardware device grade classification device 30, further includes：Monitor module 340 and straightening die on-line Block 350.

In one embodiment of the invention, on-line checking module 340 is used to pass through server hardware device On-line Fault Detection instrument carries out on-line checking to multiple server hardware devices；And correction module 350 is used for according to on-line checking result The corresponding Health Category information of multiple server hardware devices is corrected.Thus, improve by detecting correction clothes in real time The accuracy and ease for use for device hardware device Health Category information of being engaged in.

After server hardware device rank division method, management can be scheduled to server hardware device, Therefore the invention also provides a kind of schedule management method of server hardware device.

A kind of schedule management method of server hardware device, includes the following steps：Obtain multiple server hardware devices Status information；It is corresponding strong that multiple server hardware devices are obtained according to the status information of multiple server hardware devices respectively Health class information；And according to the corresponding Health Category information of multiple server hardware devices to multiple server hardware devices into Row management.

Fig. 5 is the flow chart of the schedule management method of server hardware device according to an embodiment of the invention.

As shown in figure 5, the schedule management method of server hardware device, includes the following steps：

S501, obtains the status information of multiple server hardware devices.

S502, it is corresponding to obtain multiple server hardware devices respectively according to the status information of multiple server hardware devices Health Category information.

In one embodiment of the invention, Health Category information includes the first Health Category information to the 5th Health Category Information, it is respectively the first weight that the first Health Category information to the 5th Health Category information corresponds to multiple default weight sectors respectively Section is to the 5th weight sector.Thus, the accuracy and ease for use of Health Category information are improved.

In one embodiment of the invention, multiple clothes are obtained according to the status information of multiple server hardware devices respectively The corresponding Health Category information of business device hardware device specifically includes following steps：First,According to multiple server hardware devices Status information and preset model calculate the healthy weight of multiple server hardware devices respectively, wherein, preset model passes through machine Study obtains, and specifically, by the acquisition to multiple server hardware device status informations, analysis obtains corresponding formula or meter Sample is calculated, is further constantly verified by machine to obtain preset model；Then, according to the health of multiple server hardware devices Weight and multiple default weight sectors determine the corresponding Health Category information of multiple server hardware devices.Thus, improve and obtain Take the accuracy of the corresponding Health Category information of server hardware device.

S503, carries out multiple server hardware devices according to the corresponding Health Category information of multiple server hardware devices Management.

The schedule management method of server hardware device according to embodiments of the present invention, first by obtaining multiple servers The status information of hardware device, it is hard further according to the corresponding multiple servers of state information acquisition of multiple server hardware devices Part equipment Health Category information, finally according to the corresponding Health Category information of multiple server hardware devices to multiple servers Hardware device is managed.Multiple server hardware device divided ranks are made full use of server hardware device to provide by this method Source, has high efficiency and ease for use using server hardware device resource, and reduces server hardware device failure rate and number According to the risk of loss, the reliability and security that server hardware device stores data is improved.

Fig. 6 is the flow chart of the schedule management method of server hardware device in accordance with another embodiment of the present invention.

As shown in fig. 6, the schedule management method of server hardware device, further includes following steps：

S504, examines multiple server hardware devices by server hardware device On-line Fault Detection instrument online Survey.

S505, is corrected the corresponding Health Category information of multiple server hardware devices according to on-line checking result.

The schedule management method of server hardware device according to embodiments of the present invention, first by obtaining multiple servers The status information of hardware device, it is hard further according to the corresponding multiple servers of state information acquisition of multiple server hardware devices Part equipment Health Category information, then by server hardware device On-line Fault Detection instrument to multiple server hardware devices On-line checking is carried out, and school is carried out to the corresponding Health Category information of multiple server hardware devices according to on-line checking result Just, pipe is finally carried out to multiple server hardware devices according to the corresponding Health Category information of multiple server hardware devices Reason.Multiple server hardware device divided ranks are made full use of server hardware device resource by this method, are had and are utilized service The high efficiency and ease for use of device hardware device resources, meanwhile, school is carried out to the corresponding Health Category information of server hardware device Just, improve the accuracy of the class information of the server hardware device of acquisition, and reduce server hardware device failure rate and The risk of loss of data, improves the reliability and security of server hardware device storage data.

In order to enable the advantages of present invention method is more obvious, it is exemplified below.

The status information of multiple server hardware devices is obtained first, wherein, by taking SATA hard disc as an example, status information includes Configuration specification information, temperature information, life information, the fault message of SATA hard disc, and load information etc..For example, hard disk magnetic Head is the critical component that hard disk reads data, its main function is exactly that the magnetic information being stored on hard disc is converted into electricity Signal outwards transmits, and its operation principle is then that can be read and write using the resistance value of special material with the principle of changes of magnetic field Data on disc, the quality of hard disc magnetic head largely decides the storage density of hard disc, and for example, for hard disk For it is dangerous power-off number be hard disk fault message.

Further, then the status information by using hard disk, the preset model obtained to machine learning training are asked Ask prediction to obtain, then calculate the healthy weight of multiple hard disks, root respectively according to the status information of multiple hard disks and preset model The corresponding Health Category information of multiple hard disks is determined according to the healthy weight and multiple default weight sectors of multiple hard disks, wherein, in advance If weight sector is divided into five default weight subintervals.

Further, on-line checking is carried out to multiple hard disks by hard disk failure on-line checking instrument；And according to online Testing result is corrected the corresponding Health Category information of multiple hard disks.

As shown in Table 1, five weight sector lists：

Grade	Brief descriptive grade	Hard disk accounting	Default weight sector
				FA	Had occurred and that or detected failure	5%	[0,0.05]
FB	Recent very likely generation or minor failure	15%	(0.05,0.2]
				FC	Obvious aging or hydraulic performance decline	30%	(0.2,0.5]
GB	Slight aging or performance are decreased slightly as	30%	(0.5,0.8]
				GA	Performance, reliability are good	20%	(0.8,1]

Table one

Specifically, Health Category information includes the first Health Category information to the 5th Health Category information, corresponds to FA respectively, FB, FC, GB and GA, the first Health Category information to the 5th Health Category information correspond to multiple default weight sectors and are respectively respectively First weight sector to the 5th weight sector.Wherein, hard disk accounting is hard in the server hardware device of some data center Disk ratio shared in each Health Category information, the hard disk health status one in the server hardware device of the data center Mesh is clear.

Further, the default weight sector of hard disk is [0,1], closer to 0 value, shows that disk state information is poorer, i.e., Closer to failure；Otherwise closer to 1, then show that disk state information is better.The default weight sector of hard disk is further divided into 5 A default weight subinterval, is respectively [0,0.05],（0.05,0.2]（0.2,0.5]（0.5,0.8] and（0.8,1], acquiescence point FA, FB, FC, GB and GA are not corresponded to.

Specifically, in the case of data are comparatively ideal, according to by machine learning, positive example and negative example are stringent at 0.5 Cutting, stringent positive example section is obtained further according to preset model（0.8,1] it is and strictly negative example section [0,0.05], hard disk is corresponded to respectively Performance and reliability well and had occurred and that or the bad hard disk by hard disk failure on-line checking tool detection to failure.Into one Step ground, according to the preset model obtained by machine learning, wherein, by the acquisition to multiple disk state information, analyze To corresponding formula or sample is calculated, is further constantly verified by machine to obtain preset model, then pass through preset model meter The stringent positive example section that the result of calculation obtains（0.8,1] positive example accuracy rate, the i.e. accuracy rate of good hard disk are 0.9938, strictly The negative example accuracy rate of negative example section [0,0.05], i.e., the accuracy rate of bad hard disk is 0.9992.As shown in Table 2：

Threshold value	Positive example accuracy rate	Negative example accuracy rate
			(0.8,1]	0.9938	-
[0,0.05]	-	0.9992

Table two

And opposite positive example section（0.5,0.8 the slight aging of hard disk] is then corresponded to or good hard disk that hard disk performance is decreased slightly as.Again Marked according to practical application scene and sample, the model used can go out the hard disk probably to break down in the recent period with look-ahead Ratio be 15%, therefore relatively negative example section is（0.05,0.2] correspond to there are the possible hard disk of incipient fault, and remaining area Between（0.2,0.5] then correspond to hard disk aging or hard disk performance declines, but the hard disk that will not be broken down in short term, i.e., similarly according to reality Border application scenarios and sample mark, the ratio that the model used can go out the hard disk of obvious aging with look-ahead or hard disk performance declines Example is 30%.

On-line checking is finally carried out to multiple hard disks by hard disk failure on-line checking instrument again, and according to on-line checking As a result the corresponding Health Category information of hard disk is corrected, wherein, hard disk failure on-line checking instrument respectively carries out hard disk On-line checking hard disk whether there is failure, including detect whether hard disk is ready, and detection hard disk whether there is bad sector, detect hard disk Whether hydraulic performance decline, detection hard drive internal temperature it is whether higher and detection hard disk whether close to the guarantee period one or more.

Specifically, school is carried out to the corresponding Health Category information of hard disk according to the on-line checking result to the above situation respectively Just, i.e., as shown in above-mentioned table one：Five Health Category information corresponding to hard disk is corrected, and correction rule is as follows：

For FA：If last time according to on-line checking result to the corresponding Health Category information correction mistake of hard disk, Keep the result of correction；Otherwise when being not detected by failure by hard disk failure on-line checking instrument, and it is online by hard disk failure When the hard disk reading performance of detection instrument detection is higher than 80MB/s, if life information is small less than 5000, be corrected to GB, i.e., it is hard The slight aging of disk or performance are decreased slightly as, and can preserve some unessential data；If life information is small less than 10000, school Just it is being FC, the i.e. obvious aging of hard disk or hydraulic performance decline, some unessential data can be preserved.

For FB：If last time according to on-line checking result to the corresponding Health Category information correction mistake of hard disk, Keep the result of correction；If the temperature information of hard disk is more than 52 degrees Celsius；Or life information it is small more than 20000 when, it is and logical The hard disk reading performance for crossing hard disk On-line Fault Detection tool detection is less than 40MB/s, then is corrected to FA, that is, had occurred and that or examined Failure is measured, can offline maintenance immediately；When being not detected by failure by hard disk failure on-line checking instrument, and pass through hard disk therefore When the hard disk reading performance of barrier on-line checking tool detection is higher than 80MB/s, if life information is small less than 5000, it is corrected to The slight aging of GB, i.e. hard disk or performance are decreased slightly as；If life information is small less than 10000, FC is corrected to, i.e. hard disk is substantially old Change or hydraulic performance decline, can preserve some unessential data.

For FC：If hard disk temperature information is more than 52 degrees Celsius；Or temperature information is more than 43 degrees Celsius, and by hard The hard disk reading performance of disk On-line Fault Detection tool detection is less than 80MB/s；Or life information it is small more than 20000 when, and pass through The hard disk reading performance of hard disk failure on-line checking tool detection is less than 40MB/s；Then it is corrected to FB, i.e., hard disk is in the recent period very likely Occur or minor failure is, it is necessary to which migrating data early, avoids hard disk failure from causing loss of data；If life information is less than 5000 it is small when, and 80MB/s is higher than by the hard disk reading performance of hard disk failure on-line checking tool detection, is then corrected to GB, i.e., it is hard The slight aging of disk or performance are decreased slightly as, and can preserve some unessential data.

For GB：If hard disk temperature information is more than 52 degrees Celsius；Or temperature information is more than 43 degrees Celsius, and by hard The hard disk reading performance of disk On-line Fault Detection tool detection is less than 80MB/s, then is corrected to FC, the i.e. obvious aging of hard disk or performance Decline, some unessential data can be preserved；If life information is small more than 20000, and examined online by hard disk failure The hard disk reading performance for surveying tool detection is less than 40MB/s, then is corrected to FB, i.e. hard disk very likely generation or minor failure in the recent period, Migrating data early is needed, avoids failure from causing loss of data.

For GA：If hard disk temperature information more than 52 degrees Celsius, is corrected to FC, i.e., under the obvious aging of hard disk or performance Drop, can preserve some unessential data；If temperature information passes through hard disk failure on-line checking work more than 43 degrees Celsius The hard disk reading performance of tool detection is less than 80MB/s；Or life information it is small more than 20000 when, and pass through hard disk failure on-line checking The hard disk reading performance of tool detection is less than 40MB/s, then is corrected to GB, i.e. the slight aging of hard disk or performance is decreased slightly as, and can preserve one A little unessential data.

This method calculates hard disk respectively according to the status information of hard disk and by the preset model that machine learning obtains Healthy weight；And the Health Category information of hard disk is determined according to the healthy weight of hard disk and default five weight sectors, Further, on-line checking is carried out to hard disk by hard disk failure on-line checking instrument, according to on-line checking result to hard disk pair The Health Category information answered, which is done, further to be corrected, to make full use of hard disk resources, and with the high efficiency using hard disk resources With ease for use, and the risk of hard disk failure rate and loss of data is reduced, improve the reliability and security of storage data.

It is understood that since server hardware device can be CPU, memory, network interface card, hard disk and controller etc., it is above-mentioned It is only a kind of example for the schedule management method for realizing server hardware device with the citing of SATA hard disc.Thus spread to, for example, The service of CPU intensive, I/O intensive, communications-intensive can also be placed on height by the schedule management method of server hardware device can On CPU, IO and network, so as to fulfill more efficient management and running and application.

In order to realize examples detailed above, the present invention also proposes a kind of server hardware device dispatching managing device.

A kind of server hardware device dispatching managing device, including：State information acquisition module, for obtaining multiple services The status information of device hardware device；Health Category data obtaining module, for being believed according to the state of multiple server hardware devices Breath obtains the corresponding Health Category information of multiple server hardware devices respectively；And management module, for according to multiple services The corresponding Health Category information of device hardware device is managed multiple server hardware devices.

Fig. 7 is the structure diagram of one embodiment server hardware device dispatching managing device according to the present invention.

As shown in fig. 7, server hardware device dispatching managing device 70, including：State information acquisition module 710, health Class information acquisition module 720 and management module 730.

Specifically, state information acquisition module 710, for obtaining the status information of multiple server hardware devices.

Health Category data obtaining module 720, for being obtained respectively according to the status information of multiple server hardware devices The corresponding Health Category information of multiple server hardware devices.

In one embodiment of the invention, the first weight sector is [0,0.05]；Second weight sector is（0.05, 0.2]；3rd weight sector is（0.2,0.5]；4th weight sector is（0.5,0.8]；And the 5th weight sector be（0.8, 1].Thus, the accuracy for the healthy weight for judging server hardware device is improved.

In one embodiment of the invention, Health Category information module 720 is according to the shapes of multiple server hardware devices State information and preset model calculate the healthy weight of multiple server hardware devices respectively, wherein, preset model passes through engineering Practise and obtaining, specifically, by the acquisition to multiple server hardware device status informations, analysis obtains corresponding formula or calculating Sample, is further constantly verified by machine to obtain preset model, and according to the healthy weight of multiple server hardware devices The corresponding Health Category information of multiple server hardware devices is determined with multiple default weight sectors.Thus, acquisition clothes are improved The accuracy for the corresponding Health Category information of device hardware device of being engaged in.

Management module 730, for according to the corresponding Health Category information of multiple server hardware devices to multiple servers Hardware device is managed.

Fig. 8 is the structure diagram of server hardware device dispatching managing device according to a further embodiment of the invention.

As shown in figure 8, server hardware device dispatching managing device 70, further includes：On-line checking module 740 and straightening die Block 750.

On-line checking module 740, for hard to multiple servers by server hardware device On-line Fault Detection instrument Part equipment carries out on-line checking；And correction module 750, for according to on-line checking result to multiple server hardware devices pair The Health Category information answered is corrected.Thus, improve and believed by detecting correction server hardware device Health Category in real time The accuracy and ease for use of breath.

Server hardware device dispatching managing device according to embodiments of the present invention, passes through state information acquisition module first The status information of multiple server hardware devices is obtained, passes through health etc. further according to the status information of multiple server hardware devices Level data obtaining module obtains corresponding multiple server hardware device Health Category information, then server hardware device event Hinder on-line checking instrument and on-line checking is carried out to multiple server hardware devices by on-line checking module, and according to on-line checking As a result the corresponding Health Category information of multiple server hardware devices is corrected by correction module, finally according to multiple clothes The business corresponding Health Category information of device hardware device is managed multiple server hardware devices by management module.The dress Put multiple server hardware device divided ranks, make full use of server hardware device resource, have and utilize server hardware The high efficiency and ease for use of device resource, meanwhile, the corresponding Health Category information of server hardware device is corrected, is improved The accuracy of the class information of the server hardware device obtained, and reduce server hardware device failure rate and loss of data Risk, improve server hardware device storage data reliability and security.

Fig. 9 is the structure diagram according to one embodiment of the invention server.

As shown in figure 9, server 90, include the server hardware device dispatching managing device 70 of above-described embodiment.

Any process or method described otherwise above description in flow chart or herein is construed as, and represents to include Module, fragment or the portion of the code of the executable instruction of one or more the step of being used for realization specific logical function or process Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discuss suitable Sequence, including according to involved function by it is basic at the same time in the way of or in the opposite order, carry out perform function, this should be of the invention Embodiment person of ordinary skill in the field understood.Expression or logic described otherwise above herein in flow charts And/or step, for example, the order list for the executable instruction for being used for realization logic function is considered, can be specifically real In present any computer-readable medium, for instruction execution system, device or equipment（Such as computer based system including The system of processor or other can be from the system of instruction execution system, device or equipment instruction fetch and execute instruction）Use, or Used with reference to these instruction execution systems, device or equipment.For the purpose of this specification, " computer-readable medium " can be appointed What can include, stores, communicates, propagates or transmit program for instruction execution system, device or equipment or combine these instructions Execution system, device or equipment and the device used.The more specifically example of computer-readable medium（Non-exhaustive list）Bag Include following：Electrical connection section with one or more wiring（Electronic device）, portable computer diskette box（Magnetic device）, deposit at random Access to memory（RAM）, read-only storage（ROM）, erasable edit read-only storage（EPROM or flash memory）, optical fiber Device, and portable optic disk read-only storage（CDROM）.It can be beaten on it in addition, computer-readable medium can even is that The paper or other suitable media of described program are printed, because can be connect for example by carrying out optical scanner to paper or other media Into edlin, interpretation or handled if necessary with other suitable methods electronically to obtain described program, then will It is stored in computer storage.

It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned In embodiment, software that multiple steps or method can be performed in memory and by suitable instruction execution system with storage Or firmware is realized.If, and in another embodiment, can be with well known in the art for example, realized with hardware Any one of row technology or their combination are realized：With the logic gates for realizing logic function to data-signal Discrete logic, have suitable combinational logic gate circuit application-specific integrated circuit, programmable gate array（PGA）, scene Programmable gate array（FPGA）Deng.

Those skilled in the art are appreciated that to realize all or part of step that above-described embodiment method carries Suddenly it is that relevant hardware can be instructed to complete by program, the program can be stored in a kind of computer-readable storage medium In matter, the program upon execution, including one or a combination set of the step of embodiment of the method.

In addition, each functional unit in each embodiment of the present invention can be integrated in a processing module, can also That unit is individually physically present, can also two or more units be integrated in a module.Above-mentioned integrated mould Block can both be realized in the form of hardware, can also be realized in the form of software function module.The integrated module is such as Fruit is realized in the form of software function module and as independent production marketing or in use, can also be stored in a computer In read/write memory medium.

Storage medium mentioned above can be read-only storage, disk or CD etc..

In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description Point is contained at least one embodiment of the present invention or example.In the present specification, schematic expression of the above terms is not Necessarily refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any One or more embodiments or example in combine in an appropriate manner.

Although the embodiment of the present invention has been shown and described above, it is to be understood that above-described embodiment is example Property, it is impossible to limitation of the present invention is interpreted as, those of ordinary skill in the art are not departing from the principle of the present invention and objective In the case of above-described embodiment can be changed within the scope of the invention, change, replace and modification.The scope of the present invention Extremely equally limited by appended claims.

Claims

A kind of 1. server hardware device rank division method, it is characterised in that including：

Obtain the status information of multiple server hardware devices；

The multiple server hardware is calculated according to the status information of the multiple server hardware device and preset model respectively The healthy weight of equipment；And

The multiple server is determined according to the healthy weight of the multiple server hardware device and multiple default weight sectors The corresponding Health Category information of hardware device.
2. the method as described in claim 1, it is characterised in that the preset model is to be obtained by machine learning.
3. the method as described in claim 1, it is characterised in that the Health Category information includes the first Health Category information extremely 5th Health Category information, the first Health Category information to the corresponding the multiple default weight of the 5th Health Category information Section is respectively the first weight sector to the 5th weight sector.
4. method as claimed in claim 3, it is characterised in that first weight sector is [0,0.05]；Second power Weight section for (0.05,0.2]；3rd weight sector for (0.2,0.5]；4th weight sector for (0.5,0.8]；With And the 5th weight sector for (0.8,1].
5. such as claim 1-4 any one of them methods, it is characterised in that according to the strong of the multiple server hardware device Kang Quanchong and multiple default weight sectors determine the corresponding Health Category information of the multiple server hardware device, further include：

On-line checking is carried out to the multiple server hardware device by server hardware device On-line Fault Detection instrument；With And

The corresponding Health Category information of the multiple server hardware device is corrected according to on-line checking result.
6. the method as described in claim 1, it is characterised in that the configuration that the status information includes server hardware device is advised One or more in lattice information, temperature information, life information, fault message, and load information.
7. the method as described in claim 1, it is characterised in that the server hardware device is CPU, memory, network interface card, electricity Source, hard disk and controller.
A kind of 8. server hardware device grade classification device, it is characterised in that including：

State information acquisition module, for obtaining the status information of multiple server hardware devices；

Computing module, calculates described more respectively for the status information according to the multiple server hardware device and preset model The healthy weight of a server hardware device；And

Grade classification module, it is true for the healthy weight according to the multiple server hardware device and multiple default weight sectors Determine the corresponding Health Category information of the multiple server hardware device.
9. device as claimed in claim 8, it is characterised in that the preset model is to be obtained by machine learning.
10. device as claimed in claim 8, it is characterised in that the Health Category information includes the first Health Category information To the 5th Health Category information, the first Health Category information to the corresponding the multiple default power of the 5th Health Category information Weight section is respectively the first weight sector to the 5th weight sector.
11. device as claimed in claim 10, it is characterised in that first weight sector is [0,0.05]；Described second Weight sector for (0.05,0.2]；3rd weight sector for (0.2,0.5]；4th weight sector for (0.5,0.8]； And the 5th weight sector for (0.8,1].
12. such as claim 8-11 any one of them devices, it is characterised in that further include：

On-line checking module, for being set by server hardware device On-line Fault Detection instrument to the multiple server hardware It is standby to carry out on-line checking；And

Correction module, for according to on-line checking result to the corresponding Health Category information of the multiple server hardware device into Row correction.
13. device as claimed in claim 8, it is characterised in that the status information includes the configuration of server hardware device One or more in specification information, temperature information, life information, fault message, and load information.
14. device as claimed in claim 8, it is characterised in that the server hardware device is CPU, memory, network interface card, electricity Source, hard disk and controller.
A kind of 15. schedule management method of server hardware device, it is characterised in that including：

Obtain the status information of multiple server hardware devices；

It is corresponding that the multiple server hardware device is obtained according to the status information of the multiple server hardware device respectively Health Category information；And

The multiple server hardware device is carried out according to the corresponding Health Category information of the multiple server hardware device Management；

Wherein, the status information according to the multiple server hardware device obtains the multiple server hardware and sets respectively Standby corresponding Health Category information further comprises：

The multiple server hardware is calculated according to the status information of the multiple server hardware device and preset model respectively The healthy weight of equipment；And

The multiple server is determined according to the healthy weight of the multiple server hardware device and multiple default weight sectors The corresponding Health Category information of hardware device.
16. method as claimed in claim 15, it is characterised in that the preset model is to be obtained by machine learning.
17. method as claimed in claim 15, it is characterised in that the Health Category information includes the first Health Category information To the 5th Health Category information, the first Health Category information to the corresponding the multiple default power of the 5th Health Category information Weight section is respectively the first weight sector to the 5th weight sector.
18. method as claimed in claim 17, it is characterised in that first weight sector is [0,0.05]；Described second Weight sector for (0.05,0.2]；3rd weight sector for (0.2,0.5]；4th weight sector for (0.5,0.8]； And the 5th weight sector for (0.8,1].
19. such as claim 15-18 any one of them methods, it is characterised in that set described according to multiple server hardwares After standby status information obtains the corresponding Health Category information of the multiple server hardware device respectively, further include：

On-line checking is carried out to the multiple server hardware device by server hardware device On-line Fault Detection instrument；With And

The corresponding Health Category information of the multiple server hardware device is corrected according to on-line checking result.
20. method as claimed in claim 15, it is characterised in that the status information includes the configuration of server hardware device One or more in specification information, temperature information, life information, fault message, and load information.
21. method as claimed in claim 15, it is characterised in that the server hardware device is CPU, memory, network interface card, electricity Source, hard disk and controller.
A kind of 22. server hardware device dispatching managing device, it is characterised in that including：

State information acquisition module, for obtaining the status information of multiple server hardware devices；

Health Category data obtaining module, described in being obtained respectively according to the status information of the multiple server hardware device The corresponding Health Category information of multiple server hardware devices；And

Management module, for according to the corresponding Health Category information of the multiple server hardware device to the multiple server Hardware device is managed；

Wherein, status information and default mould of the Health Category data obtaining module according to the multiple server hardware device Type calculates the healthy weight of the multiple server hardware device respectively, and according to the health of the multiple server hardware device Weight and multiple default weight sectors determine the corresponding Health Category information of the multiple server hardware device.
23. device as claimed in claim 22, it is characterised in that the preset model is to be obtained by machine learning.
24. device as claimed in claim 22, it is characterised in that the Health Category information includes the first Health Category information To the 5th Health Category information, the first Health Category information to the 5th Health Category information corresponds to the first weight sector respectively To the 5th weight sector.
25. device as claimed in claim 24, it is characterised in that first weight sector is [0,0.05]；Described second Weight sector for (0.05,0.2]；3rd weight sector for (0.2,0.5]；4th weight sector for (0.5,0.8]； And the 5th weight sector for (0.8,1].
26. such as claim 22-25 any one of them devices, it is characterised in that further include：

On-line checking module, for being set by server hardware device On-line Fault Detection instrument to the multiple server hardware It is standby to carry out on-line checking；And

Correction module, for according to on-line checking result to the corresponding Health Category information of the multiple server hardware device into Row correction.
27. device as claimed in claim 22, it is characterised in that the status information includes the configuration of server hardware device One or more in specification information, temperature information, life information, fault message, and load information.
28. device as claimed in claim 22, it is characterised in that the server hardware device is CPU, memory, network interface card, electricity Source, hard disk and controller.
29. a kind of server, it is characterised in that including such as claim 22-28 any one of them server hardware device tune Spend managing device.