CN110460628A - Distributed mist calculates mirror image processing storage method - Google Patents

Distributed mist calculates mirror image processing storage method Download PDF

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Publication number
CN110460628A
CN110460628A CN201910501360.2A CN201910501360A CN110460628A CN 110460628 A CN110460628 A CN 110460628A CN 201910501360 A CN201910501360 A CN 201910501360A CN 110460628 A CN110460628 A CN 110460628A
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mist
calculate node
mist calculate
node
mirror
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Inventor
王彬栩
夏洪涛
娄一艇
徐孝忠
李琪
严钰君
戚浩金
叶明达
王勇
陈晓杰
胡一嗔
裘建开
黄智�
张寒之
徐科兵
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Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Ningbo Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Priority to CN201910501360.2A priority Critical patent/CN110460628A/en
Publication of CN110460628A publication Critical patent/CN110460628A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0654Management of faults, events, alarms or notifications using network fault recovery
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1095Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a kind of distributed mists to calculate mirror image processing storage method, it is related to mist calculating field, in mirror back-up, other each described mist calculate nodes can storage section Mirror Info, the partial image information stored in these other described mist calculate nodes combines for complete mirror back-up;If the mist calculate node includes the Mirror Info of other mist calculate nodes, when the processing of certain mist calculate node is failed, then continue the calculation processing of failure mist calculate node by other mist calculate nodes for being stored with its mirror back-up, the advantage of the invention is that by carrying out mirror settings to each independent mist calculate node under whole system for cloud computing, so that after any mist calculate node failure, remaining mist calculate node can intervene calculating immediately, it ensure that the continuity and instantaneity of entire power grid, solve at high cost caused by needing a large amount of progress node hardware backup settings in the past look forward to and by latency issue caused by cloud computing intervention.

Description

Distributed mist calculates mirror image processing storage method
Technical field
The problem of calculating nodes mutual mirror image the present invention relates to mist calculating field more particularly to a kind of mist.
Background technique
Cloud computing is full since its powerful calculating and storage capacity are considered as that a large amount of industrial internet of things data are effectively treated One of effective technology of sufficient futurity industry Internet of Things application demand however the industrial Internet of Things framework based on cloud computing still suffer from Some challenges, cloud data center are often deployed in apart from the farther away place of industrial end, will a large amount of industrial internet of things data It is transmitted to Cloud Server and passes terminal user back again after processing and will lead to the time delay that can not put up with.Especially there are a large amount of real-time operations The enterprise of business.In addition, the data for the explosive growth that intelligent industrial terminal generates lead to Cloud Server overload, it is based on cloud Any mistake once occurs for the industrial Internet of Things network of calculating, will lead to large-scale failure, therefore the industry based on cloud computing The reliability and robustness of Internet of Things framework are poor.Compared with cloud computing, framework used by mist calculates more is in distribution, is more connect Nearly network edge.Mist calculating concentrates on data, data processing and application program in the equipment of network edge, rather than cloud computing Their almost all are stored in cloud like that.The storage and processing of data rely more on local device, and non-server.So Cloud computing is that the centralization of a new generation calculates, and it is distributed computing of new generation that mist, which calculates, and meet internet " goes to center Change " feature.
For network system, the number of processing magnanimity is required all the time positioned at the node of substation and electric substation According to needing low delay and highly reliable, in application cloud computing, may cause entire power grid if some node goes wrong The disaster of system.On the basis of operand is increasing, carries out mist in network system and calculate method of can yet be regarded as.But Single node, which goes wrong, in network system also can cause strong influence to entire production and living, because coming for mist calculating Say the stability and reliability for also needing to improve their individual nodes.
Summary of the invention
The main purpose of the present invention is to provide a kind of distributed mists to calculate mirror image processing storage method, is mainly used in electricity In net, by carrying out mirror settings to each independent mist calculate node under whole system for cloud computing, so that any mist calculates section After point failure, remaining mist calculate node can intervene calculating immediately, ensure that the continuity and instantaneity of entire power grid, solve with At high cost caused by node hardware backup settings look forward to and by latency issue caused by cloud computing intervention is carried out toward needs are a large amount of.
To achieve the above objectives, the present invention calculates mirror image processing storage method, including cloud computing using a kind of distributed mist Center, several mist calculate nodes and several terminal devices, the mist calculate node are linked with the cloud computing center, institute It states terminal device to link with the mist calculate node, the mist calculate node includes processor, memory and receiver, described Receiver is two-way, receives all terminal devices in mist calculate node region, another way and remaining mist calculate node all the way Link;The memory stores information in this mist calculate node, while information is saved in the calculating of other mists in this mist calculate node There is mirror back-up in point;In mirror back-up, other each described mist calculate nodes can storage section Mirror Info, these The partial image information stored in other described mist calculate nodes combines for complete mirror back-up;If the mist Calculate node includes the Mirror Info of other mist calculate nodes, then the receiver chain of this mist calculate node is connected to the Mirror Info pair The terminal device answered;When the processing of certain mist calculate node is failed, then by be stored with other mist calculate nodes of its mirror back-up after The continuous calculation processing for carrying out failure mist calculate node, when mirror back-up is stored jointly by multiple mist calculate nodes, these mist meters Its memory image information of operator node calculation processing calculates accordingly, once the mist calculate node of failure re-starts work, then will Processing volume, which is calculated, in this time feeds back to former mist calculate node with the information of storage, and mist calculate node works normally, remaining mist The calculating that calculate node is no longer more than.
In above-mentioned technical proposal, it is preferred that the cloud computing center mirror image has all mist calculate node information, the cloud meter Calculation center has directly linked all terminal devices, when the processing of certain mist calculate node is failed, continues to lose by cloud computing center Imitate the calculation processing of mist calculate node.
In above-mentioned technical proposal, it is preferred that the cloud computing center mirror image has all mist calculate node information, the cloud meter Calculation center is connected to terminal device by receiver chain, when the processing of certain mist calculate node is failed, is continued by cloud computing center The calculation processing for the mist calculate node that fails.
In above-mentioned technical proposal, it is preferred that in mirror back-up, each node is only backed up adjacent thereto and interlinked Mist calculate node, adjacent mist calculate node are linked by the way of wired or wireless.
In above-mentioned technical proposal, it is preferred that the terminal device and the mist in mist calculate node region calculate Node is linked by the way of wired or wireless.
Distribution mist according to claim 4 calculates mirror image processing storage method, it is characterized in that, it is saved when certain mist calculates When point processing failure, then continue the calculating of failure mist calculate node by the adjacent mist calculate node for being stored with its mirror back-up Processing, if the computing capability that this adjacent mist calculate node is not additional, looks for the adjacent mist meter of thus mist calculate node Operator node carries out calculation processing to be continued to analogize when still without processing capacity according to the above method.
In above-mentioned technical proposal, it is preferred that the topological structure between the mist calculate node is ring structure, netted knot Structure, bus structures, one kind of trunk structure, hub-and-spoke configuration, honeycomb, mixed structure.
In above-mentioned technical proposal, it is preferred that in mirror back-up, other each described mist calculate nodes are handled according to residue The Mirror Info of ability share different with remaining storage capacity smart allocation.
In above-mentioned technical proposal, it is preferred that expired air is that optical fiber single channel or optical fiber two-way link, and wireless link is WiFi, ZigBee, bluetooth, radio frequency it is one or more.
In above-mentioned technical proposal, it is preferred that the mist calculate node further includes identity-validation device, is only tested by identity Terminal device described in card equipment could be linked with the receiver.
Power grid has certain particularity, due to being related to the supply of electric energy and the special nature of power grid itself, once Some mistakes may result in significant economic losses or allow the collapse of entire power grid in network.Therefore to data in power grid Acquisition, processing and storage need certain high standard.The operation of network system is most importantly continuity and instantaneity, in Internet of Things In the environment of net great development, cloud computing has been had been applied in network system, but is influenced by bandwidth, the use of cloud computing Effect is not so good as people's will, therefore develops to cloud computing now and calculate the stage combined with mist, very big using concentration-distribution mode The performance for improving electric network data system.But other networks are compared, each node in power grid requires successional Work, this proposes that very high requirement generally requires to guarantee the safety of each node in each section to the stability of system The additional arrangement processing equipment of point, these processing equipments usually and are not involved in calculatings, but intervene when node failure, because The utilization rate of this these equipment, overall cost are also high.
Our rule is that adjacent node is carried out mirror back-up, is briefly exactly that node is allowed to interconnect, when a node When something goes wrong, this node needs to calculate and the data of storage are transferred to adjacent node and are handled, and is guaranteeing each node While normally processing, the computing capability of redundancy in whole system is taken full advantage of, accomplishes the continuity of data processing, In The mirror back-up that each node just synchronizes the data of each node when normal, this mirror back-up is not conventional Data backup, but store that data in other nodes, once some node failure, is stored with other sections of its data The instant progress data processing of point energy ensure that the continuity of data.Simultaneously during mirror image, total mirror image data can To distribute to different nodes, it can adequately guarantee that each node has additional storage and data-handling capacity in this way, Guarantee the processing that all data can be smoothly carried out in certain node failure.Due to the particularity of power grid itself, node is often all It is arranged in substation, electric substation etc., in same range, often only close tens kilometers of the distance of each node, it is only necessary to Arrangement ordinary optic fibre just transmits mass data, thus the mirror image between the node in this method in physical layer be exactly it is feasible, Solves maximum restraining factors-bandwidth problem when previous node mirror image.
In the method, as long as reserving sufficient computing redundancy, there is large-scale failure in instant whole system, also can be just Normal carry out data processing;Equally, in the method, instant node and the chain rupture of cloud center, the interconnection between node also can guarantee The operation of entire network system.
The advantage of the invention is that being set by carrying out mirror image to each independent mist calculate node under whole system for cloud computing It sets, so that remaining mist calculate node can intervene calculating immediately after any mist calculate node failure, ensure that the continuous of entire power grid Property and instantaneity, solve and previous need a large amount of to carry out enterprise at high cost caused by node hardware backup settings and pass through cloud computing Latency issue caused by intervention.
Specific embodiment
Present invention is further described in detail With reference to embodiment.
Embodiment 1: a kind of distribution mist calculating mirror image processing storage method is mainly applied by network system, including Cloud computing center, several mist calculate nodes and several terminal devices, the mist calculate node and the cloud computing center Link, the terminal device are linked with the mist calculate node, it is however generally that whole system is divided into three layers, and first layer is cloud computing Center, the second layer are mist calculate node, and third layer is terminal device, this three layers are progressive relationship, and both terminal device connection was corresponding Mist calculate node, mist calculate node connects cloud computing center, while interconnecting between mist calculate node.Mist calculate node is come It says, the topological structure between the mist calculate node is ring structure, reticular structure, bus structures, trunk structure, star-like knot One kind of structure, honeycomb, mixed structure.It is typically reticular structure or multi-ringed structure.
The mist calculate node includes processor, memory, receiver and identity-validation device, only passes through authentication Terminal device described in equipment could be linked with the receiver.The receiver is two-way, is also possible in special circumstances more Road, receives all terminal devices in mist calculate node region all the way, and another way is linked with remaining mist calculate node.Both remaining Mist calculate node can connect the terminal device in other upper mist calculate nodes by this road.
The memory stores information in this mist calculate node, while information is calculated in other mists in this mist calculate node There is mirror back-up in node;In mirror back-up, other each described mist calculate nodes can storage section Mirror Info, often Other a described mist calculate nodes are according to the Mirror Info of rest processing capacity share different with remaining storage capacity smart allocation. The partial image information stored in these other described mist calculate nodes combines for complete mirror back-up;If described Mist calculate node include other mist calculate nodes Mirror Info, then the receiver chain of this mist calculate node be connected to the mirror image letter Cease corresponding terminal device;When the processing of certain mist calculate node is failed, then section is calculated by other mists for being stored with its mirror back-up Point continues the calculation processing of failure mist calculate node, when mirror back-up is stored jointly by multiple mist calculate nodes, these Its memory image information of mist calculate node calculation processing calculates accordingly, once the mist calculate node of failure re-starts work, The information that volume is calculated and stored will be then handled in this time feeds back to former mist calculate node, mist calculate node works normally, The calculating that remaining mist calculate node is no longer more than.
In another case, each node only backs up mist that is adjacent thereto and interlinking and calculates section in mirror back-up Point then is continued to fail when the processing of certain mist calculate node is failed by the adjacent mist calculate node for being stored with its mirror back-up The calculation processing of mist calculate node, if the computing capability that this adjacent mist calculate node is not additional, looks for thus mist meter The adjacent mist calculate node of operator node carries out calculation processing and continues to analogize according to the above method when still without processing capacity.
The cloud computing center mirror image has all mist calculate node information, and the cloud computing center has directly linked all ends End equipment is continued the calculation processing of failure mist calculate node by cloud computing center when the processing of certain mist calculate node is failed. The cloud computing center mirror image has all mist calculate node information, and the cloud computing center is connected to terminal by receiver chain and sets It is standby, when the processing of certain mist calculate node is failed, continue the calculation processing of failure mist calculate node by cloud computing center.Due to Cloud computing center has complete storage information and powerful processing capacity, can be by cloud meter when network bandwidth allows The mist calculate node of the direct trustship failure in calculation center.
The adjacent mist calculate node is linked by the way of wired or wireless.It is described in mist calculate node region Terminal device is linked by the way of wired or wireless with the mist calculate node.Expired air is optical fiber single channel or optical fiber two-way Link, wireless link WiFi, ZigBee, bluetooth, radio frequency it is one or more.Connection between preferred mist calculate node is adopted With wired mode, the connection type between terminal device and mist calculate node is unlimited.
In the method, the mode of mirror image includes two kinds, and one kind is other mirror images, and one kind is adjacent mirror image.In other mirrors As in, all mist calculate nodes of the second layer can mirror image other mist calculate nodes information, when hereafter carrying out data processing Entire mist calculate node can be allowed all to play operational capability.Such case is smaller suitable for power grid scale, each mist calculate node The case where being closer just has enough bands to be tolerant the operation of all mist calculate nodes in this way.In adjacent mirror image, the mist of the second layer The mist calculate node that calculate node only interlinks could carry out mirror image to each other, hereafter carry out only having when data processing The mist calculate node of Mirror Info all plays operational capability.Such case is larger suitable for power grid, adjacent mist calculate node The case where being closer, just have so enough bands be tolerant mist calculate node operation.
In the method, there are three types of the modes of mist calculate node failure relief, the first is the direct trustship of cloud computing center The mist calculate node of failure, after the mist calculate node of failure is restored, cloud computing center returns full storage information, this mist calculates Node is reworked.It is for second that other mist calculate nodes of the second layer are counted respectively according to the storage information content being assigned to According to processing, after the mist calculate node of failure is restored, these mist calculate nodes return corresponding storing data and form full storage Information, this mist calculate node are reworked.The third be the adjacent failure mist calculate node of the second layer mist calculate node according to point The storage information content being fitted on carries out data processing respectively, and after the mist calculate node of failure is restored, these mist calculate nodes are returned Also corresponding storing data forms full storage information, this mist calculate node is reworked.

Claims (10)

1. distributed mist calculates mirror image processing storage method, including cloud computing center, several mist calculate nodes and several Terminal device, the mist calculate node are linked with the cloud computing center, and the terminal device is linked with the mist calculate node, It is characterized in that
The mist calculate node includes processor, memory and receiver, and the receiver is two-way, receives the mist all the way All terminal devices in calculate node region, another way are linked with remaining mist calculate node;
The memory stores information in this mist calculate node, at the same in this mist calculate node information in other mist calculate nodes It is interior that there is mirror back-up;
In mirror back-up, other each described mist calculate nodes can storage section Mirror Info, these other described mist meters The partial image information stored in operator node combines for complete mirror back-up;
If the mist calculate node includes the Mirror Info of other mist calculate nodes, the receiver chain of this mist calculate node It is connected to the corresponding terminal device of the Mirror Info;
When the processing of certain mist calculate node is failed, then continue to fail by other mist calculate nodes for being stored with its mirror back-up The calculation processing of mist calculate node, when mirror back-up is stored jointly by multiple mist calculate nodes, these mist calculate nodes are calculated Its memory image information is handled to calculate accordingly, it, then will be in this time once the mist calculate node of failure re-starts work Processing volume, which is calculated, feeds back to former mist calculate node with the information of storage, and mist calculate node works normally, remaining mist calculate node is not The calculating being more than again.
2. distribution mist according to claim 1 calculates mirror image processing storage method, it is characterized in that, the cloud computing center Mirror image has all mist calculate node information, and the cloud computing center has directly linked all terminal devices, when certain mist calculate node When processing failure, continue the calculation processing of failure mist calculate node by cloud computing center.
3. distribution mist according to claim 1 calculates mirror image processing storage method, it is characterized in that, the cloud computing center Mirror image has all mist calculate node information, and the cloud computing center is connected to terminal device by receiver chain, saves when certain mist calculates When point processing failure, continue the calculation processing of failure mist calculate node by cloud computing center.
4. distribution mist according to claim 1 calculates mirror image processing storage method, it is characterized in that, in mirror back-up, Each node only backs up mist calculate node that is adjacent thereto and interlinking, and adjacent mist calculate node uses wired or wireless side Formula link.
5. distribution mist according to claim 1 calculates mirror image processing storage method, it is characterized in that, the mist calculate node The terminal device in region is linked by the way of wired or wireless with the mist calculate node.
6. distribution mist according to claim 4 calculates mirror image processing storage method, it is characterized in that, when certain mist calculate node When processing failure, then continue the calculating of failure mist calculate node by the adjacent mist calculate node for being stored with its mirror back-up Reason is looked for the adjacent mist of thus mist calculate node and is calculated if the computing capability that this adjacent mist calculate node is not additional Node carries out calculation processing to be continued to analogize when still without processing capacity according to the above method.
7. distributed mist described according to claim 1 or 4 or 6 calculates mirror image processing storage method, it is characterized in that, the mist meter Topological structure between operator node be ring structure, reticular structure, bus structures, trunk structure, hub-and-spoke configuration, honeycomb, One kind of mixed structure.
8. distribution mist according to claim 1 calculates mirror image processing storage method, it is characterized in that, in mirror back-up, Other each described mist calculate nodes are believed according to the mirror image of rest processing capacity share different with remaining storage capacity smart allocation Breath.
9. distribution mist according to claim 4 or 5 calculates mirror image processing storage method, it is characterized in that, expired air is Optical fiber single channel or optical fiber two-way link, wireless link WiFi, ZigBee, bluetooth, radio frequency it is one or more.
10. distribution mist according to claim 1 calculates mirror image processing storage method, it is characterized in that, the mist calculates section Point further includes identity-validation device, could only be linked with the receiver by terminal device described in identity-validation device.
CN201910501360.2A 2019-06-11 2019-06-11 Distributed mist calculates mirror image processing storage method Pending CN110460628A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112153795A (en) * 2020-09-18 2020-12-29 中国科学院深圳先进技术研究院 Control method and system for execution equipment
CN114327507A (en) * 2021-12-20 2022-04-12 江苏云工场信息技术有限公司 Automatic arranging method and device for CDN (content delivery network) nodes

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103455577A (en) * 2013-08-23 2013-12-18 中国科学院计算机网络信息中心 Multi-backup nearby storage and reading method and system of cloud host mirror image file
CN105376182A (en) * 2015-11-30 2016-03-02 国网吉林省电力有限公司信息通信公司 Power grid resource management and allocation method and system
CN105610944A (en) * 2015-12-29 2016-05-25 北京物联远信息技术有限公司 IOT-oriented fog computing architecture
CN107895176A (en) * 2017-11-13 2018-04-10 国网湖南省电力有限公司 A kind of mist computing system and method towards water power group of planes wide area monitoring, diagnosing
CN108259197A (en) * 2016-12-28 2018-07-06 航天信息股份有限公司 A kind of mist computing architecture model based on Internet of Things application demand
CN108901046A (en) * 2018-06-14 2018-11-27 北京大学 Cotasking unloading algorithm and system design scheme towards mobile edge calculations
CN109862011A (en) * 2019-02-01 2019-06-07 华南理工大学 A kind of environment of internet of things real-time monitoring system calculated based on mist

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103455577A (en) * 2013-08-23 2013-12-18 中国科学院计算机网络信息中心 Multi-backup nearby storage and reading method and system of cloud host mirror image file
CN105376182A (en) * 2015-11-30 2016-03-02 国网吉林省电力有限公司信息通信公司 Power grid resource management and allocation method and system
CN105610944A (en) * 2015-12-29 2016-05-25 北京物联远信息技术有限公司 IOT-oriented fog computing architecture
CN108259197A (en) * 2016-12-28 2018-07-06 航天信息股份有限公司 A kind of mist computing architecture model based on Internet of Things application demand
CN107895176A (en) * 2017-11-13 2018-04-10 国网湖南省电力有限公司 A kind of mist computing system and method towards water power group of planes wide area monitoring, diagnosing
CN108901046A (en) * 2018-06-14 2018-11-27 北京大学 Cotasking unloading algorithm and system design scheme towards mobile edge calculations
CN109862011A (en) * 2019-02-01 2019-06-07 华南理工大学 A kind of environment of internet of things real-time monitoring system calculated based on mist

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
戚浩金,娄一艇: "电力"互联网+ 信息安全管理"新模式", 《中国电力企业管理》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112153795A (en) * 2020-09-18 2020-12-29 中国科学院深圳先进技术研究院 Control method and system for execution equipment
CN114327507A (en) * 2021-12-20 2022-04-12 江苏云工场信息技术有限公司 Automatic arranging method and device for CDN (content delivery network) nodes
CN114327507B (en) * 2021-12-20 2022-07-15 江苏云工场信息技术有限公司 Automatic arranging method and device for CDN nodes

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Application publication date: 20191115