CN104965573A - Method and device for batch deployment of data center - Google Patents
Method and device for batch deployment of data center Download PDFInfo
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- CN104965573A CN104965573A CN201510211270.1A CN201510211270A CN104965573A CN 104965573 A CN104965573 A CN 104965573A CN 201510211270 A CN201510211270 A CN 201510211270A CN 104965573 A CN104965573 A CN 104965573A
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Abstract
The invention discloses a method and a device for batch deployment of a data center. The method comprises: according to installation conditions of all devices in a batch, finding out all cabinet ID sequences matched with the devices in the batch; in the all cabinet ID sequences matched with the devices in the batch, according to a priority principle of equipment deployment, and using a backtracking algorithm to calculate all cabinet ID sequences which conform with the equipment priority principles. In the batch deployment method, all cabinet sequences which satisfy equipment deployment of the batch according to the installation conditions of the devices in the batch are found out, and all cabinet sequences which are most suitable for deployment are screened out in the cabinet sequences according to each priority principle of equipment deployment. The method realizes pre-deployment of batch devices, and overall calculation and screening are performed by software, thereby realizing automatic deployment of batch devices. The method provides reference for device installation personnel, and manpower is greatly reduced.
Description
Technical field
The present invention relates to network communication technology field, particularly a kind of batch dispositions method of data center and device.
Background technology
At present, in whole data center industry, the specialist tools that had partial software producer to the management design of data center's capacity, but range of management is narrower, only comprises the management of the cold of machine room, space and power, and it is maximum only for individual equipment by simple algorithm in deployed with devices, if run into batch device to dispose, then need a large amount of manpowers to analyze and judge the installation site of this batch facility, cannot tackle flexibly, what bring is that workload is large, and efficiency is low.
Thus prior art need to improve.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art part, the object of the present invention is to provide a kind of batch dispositions method and device of data center, according to mounting condition and the priority principle of batch device, use back-track algorithm, calculate the ID sequence of optimum rack, for the reference of equipment installation personnel, achieve the automatic deployment of batch device.
In order to achieve the above object, this invention takes following technical scheme:
A batch dispositions method for data center, comprising:
A, mounting condition according to all devices in batch, find out all rack ID sequences that can match with this batch equipment;
B, in all rack ID sequences matched with this batch equipment found out, according to the priority principle of deployed with devices, use back-track algorithm, calculate all ID sequences meeting the rack of each equipment priority principle.
In the batch dispositions method of described data center, it is one or more that described mounting condition comprises in following items:
The space can installed for equipment is had in rack;
The available power capacity of rack meets the requirement of equipment;
The load-carrying of rack meets the requirement of equipment;
The power distribution unit of rack meets the requirement of equipment;
The network port of the first cabinet of each row of rack column meets the requirement of equipment;
After equipment adds rack, cold meets the requirements.
In the batch dispositions method of described data center, it is one or more that described priority principle comprises in following items:
Function is preferential, the rack that prioritizing selection is identical with device type;
Extreme lower position is preferential, and in rack, equipment puts the principle followed from down to up;
Not preferential by the rack preempted;
U bit space takes preferentially, and the rack that space is full is after the device is installed preferential;
Few preferential of selectable location, the rack that can match with less equipment is preferential;
Preferential with project, the rack belonging to same project with equipment is preferential;
Close on preferential, in the rack of same project, the rack that prioritizing selection is identical with other equipment of same project.
In the batch dispositions method of described data center, before described steps A, also comprise step:
A0, can the space of storage equipment and the size of a batch equipment according to each rack, judge whether to exist the rack ID sequence meeting this batch equipment requirements of installation space.
In the batch dispositions method of described data center, described steps A 0 specifically comprises:
A01, according to all rack of data center by the size that can provide installing space, sort by the rack ID that the descending order of installing space can be provided correspondence, according to the size of each equipment in one batch, sort by the descending device id to correspondence of the size of equipment;
A02, travel through the ID of this batch equipment, if there be the measure-alike of the available installing space of rack and equipment, then this rack ID and device id are removed;
A03, judge the size of surplus equipment if surplus equipment is of a size of sky, then to enter steps A 06; If the size of surplus equipment is less than the available installing space of remaining rack, then enter steps A 04; If the size of surplus equipment is greater than the available installing space of remaining rack, then enter steps A 05;
If the size of A04 equipment is little compared with the available installing space of rack, then remove this device id, reduced by available for this rack installing space, the amount of reduction is the size of this equipment, enters steps A 01;
A05, export the result that this batch equipment can not install;
A06, export the result that this batch equipment can install.
A batch deployment devices for data center, comprises preliminary screening module and optimizes module;
Described preliminary screening module, for the mounting condition according to all devices in batch, finds out all rack ID sequences that can match with this batch equipment;
Described optimization module, in all rack ID sequences matched with this batch equipment found out, according to the priority principle of deployed with devices, uses back-track algorithm, calculates all ID sequences meeting the rack of each equipment priority principle.
In the batch deployment devices of described data center, it is one or more that described mounting condition comprises in following items:
The space can installed for equipment is had in rack;
The available power capacity of rack meets the requirement of equipment;
The load-carrying of rack meets the requirement of equipment;
The power distribution unit of rack meets the requirement of equipment;
The network port of the first cabinet of each row of rack column meets the requirement of equipment;
After equipment adds rack, cold meets the requirements.
In the batch deployment devices of described data center, it is one or more that described priority principle comprises in following items:
Function is preferential, the rack that prioritizing selection is identical with device type;
Extreme lower position is preferential, and in rack, equipment puts the principle followed from down to up;
Not preferential by the rack preempted;
U bit space takes preferentially, and the rack that space is full is after the device is installed preferential;
Few preferential of selectable location, the rack that can match with less equipment is preferential;
Preferential with project, the rack belonging to same project with equipment is preferential;
Close on preferential, in the rack of same project, the rack that prioritizing selection is identical with other equipment of same project.
In the batch deployment devices of described data center, described batch deployment devices also comprises judge module, described judge module is used for can the space of storage equipment and the size of a batch equipment according to each rack, judges whether to exist the rack ID sequence meeting this batch equipment requirements of installation space.
In the batch deployment devices of described data center, described judge module comprises:
Sequencing unit, for according to all rack of data center by the size that can provide installing space, sort by the rack ID that the descending order of installing space can be provided correspondence, according to the size of each equipment in one batch, sort by the descending device id to correspondence of the size of equipment;
Traversal comparing unit, for traveling through the ID of this batch equipment, if there be the measure-alike of the available installing space of rack and equipment, then removes this rack ID and device id;
Judge processing unit, for judging the size of surplus equipment, when surplus equipment is of a size of sky, control result output unit exports the result that this batch equipment can be installed; When the size of surplus equipment is less than the available installing space of remaining rack, if the size of a certain equipment is little compared with the available installing space of rack, then remove this device id, reduced by available for this rack installing space, the amount of reduction is the size of this equipment; When the size of surplus equipment is greater than the available installing space of remaining rack, controls result output unit and export the result that this batch equipment can not install;
Result output unit, for according to the control judging processing unit, exports the result that can this batch equipment be installed.
Compared to prior art, the batch dispositions method of data center provided by the invention and device, wherein, described batch dispositions method, first according to the mounting condition of batch device, finds out all rack sequences that can meet this batch facility and dispose; Again in the rack sequence found out, according to the optimum principle of each deployed with devices, filter out the rack sequence of the most applicable all deployment, accomplish the pre-deployment of batch device, whole calculating and screening are undertaken by software, the robotization achieving batch device is disposed, and for equipment installation personnel provides reference, greatly reduces manpower.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the batch dispositions method of data center provided by the invention.
Fig. 2 is in the batch dispositions method of data center provided by the invention, the concrete grammar process flow diagram of step S10.
Fig. 3 is the structured flowchart of the batch deployment devices of data center provided by the invention.
Fig. 4 is in the batch deployment devices of data center provided by the invention, the concrete structure block diagram of judge module.
Embodiment
The invention provides a kind of batch dispositions method and device of data center, described batch dispositions method is first according to the mounting condition of batch device, find out all rack sequences that can match with this batch facility, making installation personnel can know this batch facility can install, and has how many kinds of installation site; Again according to the priority principle of each deployed with devices, use back-track algorithm to screen the rack sequence found out, obtain the optimal deployment position of each equipment, achieve the automatic deployment of batch device.
For making object of the present invention, technical scheme and effect clearly, clearly, developing simultaneously referring to accompanying drawing, the present invention is described in more detail for embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Refer to Fig. 1, in the batch dispositions method of data center provided by the invention, comprise the steps:
S10, can the space of storage equipment and the size of a batch equipment according to each rack, judge whether to exist the rack ID sequence meeting this batch equipment requirements of installation space, and Output rusults.In the management of the heart in the data, each rack all has one No. ID, this No. ID is associated with all information of rack, namely not only can find the position of rack in machine room according to this No. ID, corresponding can also obtain the space attribute of this rack, power capacity attribute, load-carrying attribute, power distribution unit attribute, the network port attribute of first cabinet of each row of place rack row and refrigeration attribute.Same, need in the batch equipment installed, each equipment is also to there being one No. ID, this No. ID is associated with all information of equipment, namely according to this No. ID can find the size of equipment, power capacity require, load-carrying requires, power distribution unit requires, the network port requires and requirement of freezing.Therefore, after the equipment obtaining a collection of needs deployment, the ID of these equipment also obtains, first according to the space attribute of each rack, namely at present can the space of storage equipment, and the size of each equipment of this batch (i.e. U position), can the rack judging in data center have living space and can install this batch equipment, can know that can this batch equipment be installed without the need to manually finding and search, achieving intelligent decision, improve work efficiency.
S20, mounting condition according to all devices in batch, find out all rack ID sequences that can match with this batch equipment; A rack ID sequence is the set of all rack ID that can install this batch equipment.When this batch equipment can be installed to data center, by the screening of mounting condition, find out all rack ID sequences matched with this batch equipment.It should be noted that, possibility rack can install all devices of this batch, also likely need rack row that all devices of this batch could be installed, also likely need the different racks in machine room to install all devices of this batch, the all devices of this batch is not even installed with the rack of machine room, therefore, in each rack ID sequence found out, the ID number in each sequence might not be identical.
Wherein, what described mounting condition comprised in following items is one or more:
The space can installed for equipment is had in a, rack;
The available power capacity of b, rack meets the requirement of equipment;
The load-carrying of c, rack meets the requirement of equipment;
The power distribution unit (power distribution socket) of d, rack meets the requirement of equipment;
The network port of the first cabinet of each row of e, rack column meets the requirement of equipment;
After f, equipment add rack, cold meets the requirements.
When matching unit and rack, described mounting condition can be arranged according to demand, and preferably, described mounting condition comprises described a, b, c, d, e and f six.According to the mounting condition of each equipment, each rack of data center is screened, thus obtain all rack ID sequences matched with this batch equipment, for data center managerial personnel and equipment installation personnel provide preliminary reference.
S30, in all rack ID sequences matched with this batch equipment found out, according to the priority principle of deployed with devices, use back-track algorithm, calculate all ID sequences meeting the rack of each equipment priority principle, and Output rusults.That is, in the rack ID sequence meeting each equipment mounting condition, then screen by priority principle, optimize ID sequence further, make data center managerial personnel and equipment installation personnel finally obtain the deployed position of this batch equipment the best.
Wherein, what described priority principle comprised in following items is one or more:
G, function are preferential, the rack that prioritizing selection is identical with device type; Such as the network equipment preferentially leaves network cabinet in, and server priority leaves server cabinet in;
H, extreme lower position are preferential, and in rack, equipment puts the principle followed from down to up; First being placed in bottom is position, more up puts successively;
I, not preferential by the rack preempted; Consider to be camped on, but equipment is not also reached the standard grade, in order to follow the preferential principle of extreme lower position, if rear first reaching the standard grade of preemption will run counter to above principle;
J, U bit space takes preferentially, and the rack that space is full is after the device is installed preferential;
Few preferential of k, selectable location, the rack that can match with less equipment is preferential; Such as a device A can mate A1 position, and equipment B can mate A1, A2, A3 position, then device A priority match A1;
L, preferential with project, the rack belonging to same project with equipment is preferential;
M, close on preferential, in the rack of same project, the rack that prioritizing selection is identical with other equipment of same project; To realize depositing with closing on of project equipment, be convenient to final-period management.
Described priority principle can be arranged according to demand, and preferably, described mounting condition comprises described g, h, i, j, k, l and m seven.
In sum, the batch dispositions method of data center provided by the invention, first judges that can this batch equipment spatially be installed, and then according to the mounting condition of batch device, finds out all rack sequences that can meet this batch facility and dispose; Again in the rack sequence found out, according to the optimum principle of each deployed with devices, filter out the rack sequence of the most applicable all deployment, accomplish the pre-deployment of batch device, whole calculating and screening are undertaken by software, the robotization achieving batch device is disposed, and for equipment installation personnel provides reference, greatly reduces manpower.And this method is specially adapted to large-scale data center, no matter the equipment that rack and needs are disposed has how many, the optimal deployment of equipment all can be realized by described batch dispositions method.
Further, refer to Fig. 2, the concrete steps of described step S10 comprise:
S110, according to all rack of data center by the size that can provide installing space, sort by the rack ID that the descending order of installing space can be provided correspondence, according to the size of each equipment in one batch, sort by the descending device id to correspondence of the size of equipment.
S120, travel through the ID of this batch equipment, if there be the measure-alike of the available installing space of rack and equipment, then this rack ID and device id are removed, namely, the rack that can mate size and the ID of equipment remove from algorithm, and remaining equipment does not conform to remaining rack dimensionally.
S130, judge if surplus equipment is of a size of sky, namely there is no the size of surplus equipment surplus equipment, then enter step S160; If the size of surplus equipment is less than the available installing space of remaining rack, then enter step S140; If the size of surplus equipment is greater than the available installing space of remaining rack, namely remaining rack does not have enough spaces can install remaining equipment, then enter step S150.
If the size of S140 equipment is little compared with the available installing space of rack, then remove this device id, reduced by available for this rack installing space, the amount of reduction is the size of this equipment, enters step S110; In other words, if the size of equipment is little compared with the available installing space of rack, illustrate that rack is except providing installing space to this equipment, also other equipment can be installed, therefore, suppose that this equipment has occupied the space of this rack, then this rack ID is put in calculating below.
S150, export the result that this batch equipment can not install.
S160, export the result that this batch equipment can install.
By above-mentioned algorithm, can judge within the shortest time whether this batch equipment can be arranged in data center, for data center managerial personnel provide good reference.
Based on the batch dispositions method of the data center that a upper embodiment provides, the present invention also provides a kind of batch deployment devices of data center, refers to Fig. 3, and described batch deployment devices comprises judge module 10, preliminary screening module 20 and optimizes module 30.
Described judge module 10, for can the space of storage equipment and the size of a batch equipment according to each rack, judges whether to exist the rack ID sequence meeting this batch equipment requirements of installation space, and Output rusults.
Described preliminary screening module 20, for the mounting condition according to all devices in batch, finds out all rack ID sequences that can match with this batch equipment.
Wherein, what described mounting condition comprised in following items is one or more:
The space can installed for equipment is had in a, rack;
The available power capacity of b, rack meets the requirement of equipment;
The load-carrying of c, rack meets the requirement of equipment;
The power distribution unit (power distribution socket) of d, rack meets the requirement of equipment;
The network port of the first cabinet of each row of e, rack column meets the requirement of equipment;
After f, equipment add rack, cold meets the requirements.
When matching unit and rack, described mounting condition can be arranged according to demand, and preferably, described mounting condition comprises described a, b, c, d, e and f six.
Described optimization module 30, in all rack ID sequences matched with this batch equipment found out, according to the priority principle of deployed with devices, uses back-track algorithm, calculates all ID sequences meeting the rack of each equipment priority principle, and Output rusults.
Wherein, what described priority principle comprised in following items is one or more:
G, function are preferential, the rack that prioritizing selection is identical with device type; Such as the network equipment preferentially leaves network cabinet in, and server priority leaves server cabinet in;
H, extreme lower position are preferential, and in rack, equipment puts the principle followed from down to up; First being placed in bottom is position, more up puts successively;
I, not preferential by the rack preempted; Consider to be camped on, but equipment is not also reached the standard grade, in order to follow the preferential principle of extreme lower position, if rear first reaching the standard grade of preemption will run counter to above principle;
J, U bit space takes preferentially, and the rack that space is full is after the device is installed preferential;
Few preferential of k, selectable location, the rack that can match with less equipment is preferential; Such as a device A can mate A1 position, and equipment B can mate A1, A2, A3 position, then device A priority match A1;
L, preferential with project, the rack belonging to same project with equipment is preferential;
M, close on preferential, in the rack of same project, the rack that prioritizing selection is identical with other equipment of same project; To realize depositing with closing on of project equipment, be convenient to final-period management.
Described priority principle can be arranged according to demand, and preferably, described mounting condition comprises described g, h, i, j, k, l and m seven.
Refer to Fig. 4, described judge module 10 comprises sequencing unit 110, traversal comparing unit 120, judges processing unit 130 and result output unit 140.
Described sequencing unit 110, for according to all rack of data center by the size that can provide installing space, sort by the rack ID that the descending order of installing space can be provided correspondence, according to the size of each equipment in one batch, sort by the descending device id to correspondence of the size of equipment.
Described traversal comparing unit 120, for traveling through the ID of this batch equipment, if there be the measure-alike of the available installing space of rack and equipment, then this rack ID and device id are removed, namely, the rack that can mate size and the ID of equipment remove from algorithm, and remaining equipment does not conform to remaining rack dimensionally.
Described judgement processing unit 130, for judging the size of surplus equipment, when surplus equipment is of a size of sky, when namely not having surplus equipment, control result output unit 140 exports the result that this batch equipment can be installed; When the size of surplus equipment is less than the available installing space of remaining rack, if the size of a certain equipment is little compared with the available installing space of rack, then remove this device id, reduced by available for this rack installing space, the amount of reduction is the size of this equipment; When the size of surplus equipment is greater than the available installing space of remaining rack, controls result output unit 140 and export the result that this batch equipment can not install.
Described result output unit 140, for according to the control judging processing unit 130, exports the result that can this batch equipment be installed.
Because the principle of the present embodiment and every technical characteristic elaborate in a upper embodiment, do not repeat them here.
Be understandable that, for those of ordinary skills, can be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, and all these change or replace the protection domain that all should belong to the claim appended by the present invention.
Claims (10)
1. a batch dispositions method for data center, is characterized in that, comprising:
According to the mounting condition of all devices in batch, find out all rack ID sequences that can match with this batch equipment;
In all rack ID sequences matched with this batch equipment found out, according to the priority principle of deployed with devices, use back-track algorithm, calculate all ID sequences meeting the rack of each equipment priority principle.
2. the batch dispositions method of data center according to claim 1, is characterized in that, it is one or more that described mounting condition comprises in following items:
The space can installed for equipment is had in rack;
The available power capacity of rack meets the requirement of equipment;
The load-carrying of rack meets the requirement of equipment;
The power distribution unit of rack meets the requirement of equipment;
The network port of the first cabinet of each row of rack column meets the requirement of equipment;
After equipment adds rack, cold meets the requirements.
3. the batch dispositions method of data center according to claim 1, is characterized in that, it is one or more that described priority principle comprises in following items:
Function is preferential, the rack that prioritizing selection is identical with device type;
Extreme lower position is preferential, and in rack, equipment puts the principle followed from down to up;
Not preferential by the rack preempted;
U bit space takes preferentially, and the rack that space is full is after the device is installed preferential;
Few preferential of selectable location, the rack that can match with less equipment is preferential;
Preferential with project, the rack belonging to same project with equipment is preferential;
Close on preferential, in the rack of same project, the rack that prioritizing selection is identical with other equipment of same project.
4. the batch dispositions method of data center according to claim 1, is characterized in that, before described steps A, also comprises step:
A0, can the space of storage equipment and the size of a batch equipment according to each rack, judge whether to exist the rack ID sequence meeting this batch equipment requirements of installation space.
5. the batch dispositions method of data center according to claim 4, is characterized in that, described steps A 0 specifically comprises:
A01, according to all rack of data center by the size that can provide installing space, sort by the rack ID that the descending order of installing space can be provided correspondence, according to the size of each equipment in one batch, sort by the descending device id to correspondence of the size of equipment;
A02, travel through the ID of this batch equipment, if there be the measure-alike of the available installing space of rack and equipment, then this rack ID and device id are removed;
A03, judge the size of surplus equipment if surplus equipment is of a size of sky, then to enter steps A 06; If the size of surplus equipment is less than the available installing space of remaining rack, then enter steps A 04; If the size of surplus equipment is greater than the available installing space of remaining rack, then enter steps A 05;
If the size of A04 equipment is little compared with the available installing space of rack, then remove this device id, reduced by available for this rack installing space, the amount of reduction is the size of this equipment, enters steps A 01;
A05, export the result that this batch equipment can not install;
A06, export the result that this batch equipment can install.
6. a batch deployment devices for data center, is characterized in that, comprises preliminary screening module and optimizes module;
Described preliminary screening module, for the mounting condition according to all devices in batch, finds out all rack ID sequences that can match with this batch equipment;
Described optimization module, in all rack ID sequences matched with this batch equipment found out, according to the priority principle of deployed with devices, uses back-track algorithm, calculates all ID sequences meeting the rack of each equipment priority principle.
7. the batch deployment devices of data center according to claim 6, is characterized in that, it is one or more that described mounting condition comprises in following items:
The space can installed for equipment is had in rack;
The available power capacity of rack meets the requirement of equipment;
The load-carrying of rack meets the requirement of equipment;
The power distribution unit of rack meets the requirement of equipment;
The network port of the first cabinet of each row of rack column meets the requirement of equipment;
After equipment adds rack, cold meets the requirements.
8. the batch deployment devices of data center according to claim 6, is characterized in that, it is one or more that described priority principle comprises in following items:
Function is preferential, the rack that prioritizing selection is identical with device type;
Extreme lower position is preferential, and in rack, equipment puts the principle followed from down to up;
Not preferential by the rack preempted;
U bit space takes preferentially, and the rack that space is full is after the device is installed preferential;
Few preferential of selectable location, the rack that can match with less equipment is preferential;
Preferential with project, the rack belonging to same project with equipment is preferential;
Close on preferential, in the rack of same project, the rack that prioritizing selection is identical with other equipment of same project.
9. the batch deployment devices of data center according to claim 6, it is characterized in that, described batch deployment devices also comprises judge module, described judge module is used for can the space of storage equipment and the size of a batch equipment according to each rack, judges whether to exist the rack ID sequence meeting this batch equipment requirements of installation space.
10. the batch deployment devices of data center according to claim 9, is characterized in that, described judge module comprises:
Sequencing unit, for according to all rack of data center by the size that can provide installing space, sort by the rack ID that the descending order of installing space can be provided correspondence, according to the size of each equipment in one batch, sort by the descending device id to correspondence of the size of equipment;
Traversal comparing unit, for traveling through the ID of this batch equipment, if there be the measure-alike of the available installing space of rack and equipment, then removes this rack ID and device id;
Judge processing unit, for judging the size of surplus equipment, when surplus equipment is of a size of sky, control result output unit exports the result that this batch equipment can be installed; When the size of surplus equipment is less than the available installing space of remaining rack, if the size of a certain equipment is little compared with the available installing space of rack, then remove this device id, reduced by available for this rack installing space, the amount of reduction is the size of this equipment; When the size of surplus equipment is greater than the available installing space of remaining rack, controls result output unit and export the result that this batch equipment can not install;
Result output unit, for according to the control judging processing unit, exports the result that can this batch equipment be installed.
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| WO2018145615A1 (en) * | 2017-02-07 | 2018-08-16 | 华为技术有限公司 | Vnf deployment method and system |
| CN108428002A (en) * | 2017-02-15 | 2018-08-21 | 阿里巴巴集团控股有限公司 | A kind of is to wait for the method and apparatus that restocking machine determines seat in the plane |
| CN109889370A (en) * | 2019-01-10 | 2019-06-14 | 中国移动通信集团海南有限公司 | A kind of network equipment location determining method, device and computer readable storage medium |
| CN109889370B (en) * | 2019-01-10 | 2021-12-21 | 中国移动通信集团海南有限公司 | Network equipment position determining method and device and computer readable storage medium |
| CN113412002A (en) * | 2020-03-17 | 2021-09-17 | 阿里巴巴集团控股有限公司 | Cabinet, data center and deployment method thereof |
| CN113412002B (en) * | 2020-03-17 | 2023-02-07 | 阿里巴巴集团控股有限公司 | Cabinet, data center and deployment method thereof |
| CN111914002A (en) * | 2020-08-11 | 2020-11-10 | 中国工商银行股份有限公司 | Computer room resource information processing method and device and electronic equipment |
| CN111914002B (en) * | 2020-08-11 | 2023-08-18 | 中国工商银行股份有限公司 | Machine room resource information processing method and device and electronic equipment |
| CN117332697A (en) * | 2023-11-03 | 2024-01-02 | 中国电子产业工程有限公司 | Network security system optimization method and system |
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| CN104965573B (en) | 2018-08-03 |
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