CN107749805A - A kind of virtual machine deployment method and device - Google Patents
A kind of virtual machine deployment method and device Download PDFInfo
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- CN107749805A CN107749805A CN201711035080.4A CN201711035080A CN107749805A CN 107749805 A CN107749805 A CN 107749805A CN 201711035080 A CN201711035080 A CN 201711035080A CN 107749805 A CN107749805 A CN 107749805A
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- 238000004364 calculation method Methods 0.000 claims description 7
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- 230000008569 process Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
Abstract
The invention provides a kind of virtual machine deployment method and device, this method includes：Determine the flow information of deployed environment corresponding at least one virtual machine to be disposed；Determine resource information corresponding at least one physical equipment difference in the deployed environment；Determine at least one virtual machine to be disposed, network demand corresponding to virtual machine to be disposed and calculating demand described in each；According to the flow information and the resource information, at least one destination server is determined from least one physical equipment；Wherein, available resources corresponding to the destination server meet the network demand and the calculating demand corresponding at least one virtual machine to be disposed；At least one virtual machine to be disposed is deployed in the destination server determined respectively.This programme can improve the service efficiency of Internet resources.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of virtual machine deployment method and device.
Background technology
Existing large-scale data center typically uses virtualization technology, how to carry out rational deploying virtual machine so that
The overall level of resources utilization of data center is higher and service performance is more excellent, is one that needs consider when building data center non-
The problem of often important.
At present when carrying out deploying virtual machine, the available computational resources of the general each server for only considering data center are
It is no to meet the needs of virtual machine to be disposed, for example, only considering whether the CPU quantity of server and free memory capacity meet need
Ask, if it is determined that go out the server of multiple meet demands, then by virtual machine random placement to be disposed in the service determined.
In said process, due to not accounting for the constraints of existing Internet resources between each server, for example,
Network bandwidth requirement is not accounted for, so as to easily form flow focus, and then reduces the service efficiency of Internet resources.
The content of the invention
The embodiments of the invention provide a kind of virtual machine deployment method and device, the utilization rate of Internet resources can be improved.
In a first aspect, the embodiments of the invention provide a kind of virtual machine deployment method, including：
Determine the flow information of deployed environment corresponding at least one virtual machine to be disposed；
Determine resource information corresponding at least one physical equipment difference in the deployed environment；
Determine at least one virtual machine to be disposed, network demand corresponding to virtual machine to be disposed described in each and
Calculating demand；
According to the flow information and the resource information, at least one mesh is determined from least one physical equipment
Mark server；Wherein, available resources corresponding to the destination server meet corresponding at least one virtual machine to be disposed
The network demand and the calculating demand；
At least one virtual machine to be disposed is deployed in the destination server determined respectively.
Preferably,
The flow information for determining deployed environment corresponding at least one virtual machine to be disposed, including：
Determine the annexation between each described physical equipment and other physical equipments in the deployed environment；
According to the annexation corresponding to each physical equipment, Topology connection corresponding to the deployed environment is determined
Relation；Wherein, each described annexation corresponding to each described physical equipment is formed in the topological connection relation
One physical link；
Data on flows corresponding to each physical link is obtained, and according to the data on flows of acquisition, determines the portion
Affix one's name to flow information corresponding to environment.
Preferably,
It is described according to the flow information and the resource information, determine at least one from least one physical equipment
Individual destination server, including：
According to data on flows corresponding to the topological connection relation and each physical link, the deployment is determined
Effective outlet bandwidth corresponding to the physical equipment of each in environment；
According to CPU quantity and free memory capacity corresponding to each described physical equipment, each described physics is determined
Computing resource idleness corresponding to equipment；
Network demand and the calculating demand corresponding to virtual machine to be disposed according to each, determine each described treat
Dispose overall network demand corresponding to virtual machine and total calculating demand；
According to effectively outlet bandwidth and the computing resource idleness determined, set from least one physics
Physical equipment to be disposed is determined in standby；Wherein, it is described to treat that deployment takes the effectively outlet bandwidth and described corresponding to physical equipment
Computing resource idleness is respectively greater than the overall network demand and total calculating demand；
According to the topological connection relation, it is determined that the destination server corresponding with the physical equipment to be disposed.
Preferably,
The physical equipment includes：Server and interchanger；
According to CPU quantity and free memory capacity corresponding to each described physical equipment, each described physics is determined
Computing resource idleness corresponding to equipment, including：
For each interchanger：According to the topological connection relation, it is determined that corresponding with the interchanger at least one
The server；
To each described server for determining, corresponding CPU quantity and free memory capacity are overlapped respectively, and
Using stack result as the computing resource idleness corresponding to the interchanger.
Preferably,
Effectively outlet bandwidth and the computing resource idleness that the basis is determined, from least one thing
Physical equipment to be disposed is determined in reason equipment, including：
A1：Effectively outlet bandwidth and the computing resource idleness according to corresponding to each described server, really
Deployment services device is treated with the presence or absence of at least one in fixed at least one server, if it is, at least one treating portion from described
Affix one's name to server in select a destination server, otherwise, according to the topological connection relation, it is determined that with each service
Connected at least one first interchanger of device；
A2：The effectively outlet bandwidth and the computing resource are idle according to corresponding to each described first interchanger
Rate, determine to whether there is at least one interchanger to be disposed at least one first interchanger, if it is, performing step
A3, otherwise perform A4；
A3：A target switch is selected from least one interchanger to be disposed, and by the target switch
Corresponding server is as the destination server；
A4：It is determined that at least one second switch being connected with each first interchanger, and described second is exchanged
Machine performs step A2 as first interchanger.
Preferably,
One target switch of selection from least one interchanger to be disposed, including：
The computing resource idleness corresponding to interchanger to be disposed according to each, at least one portion is treated to described
Administration's interchanger is ranked up；
According to the ranking results, successively using interchanger to be disposed described in each as current SWITCH, perform：
Determine that effective outlet bandwidth of each server corresponding to the current SWITCH and the computing resource are empty
Whether not busy rate meets network demand and calculating demand corresponding to each virtual machine to be disposed respectively；
If it is, determine that the current SWITCH is the target switch.
Second aspect, the embodiments of the invention provide a kind of deploying virtual machine device, including：Information determination unit, demand
Determining unit, target determination unit and deployment unit；Wherein,
Described information determining unit, for determining that the flow of deployed environment corresponding at least one virtual machine to be disposed is believed
Breath, and determine resource information corresponding to the difference of at least one physical equipment in the deployed environment；
The demand determining unit, wait to dispose for determining at least one virtual machine to be disposed, described in each
Network demand corresponding to virtual machine and calculating demand；
The target determination unit, for according to the flow information and the resource information, from least one thing
At least one destination server is determined in reason equipment；Wherein, available resources corresponding to the destination server meet at least one
The network demand corresponding to the virtual machine to be disposed and the calculating demand；
The deployment unit, at least one virtual machine to be disposed to be deployed into the target determined respectively
In server.
Preferably,
Described information determining unit, for determining each described physical equipment in the deployed environment and other physics
Annexation between equipment；According to the annexation corresponding to each physical equipment, the deployed environment pair is determined
The topological connection relation answered；Wherein, each described annexation corresponding to each described physical equipment forms the topology
A physical link in annexation；Data on flows corresponding to each physical link is obtained, and according to the stream of acquisition
Data are measured, determine flow information corresponding to the deployed environment.
Preferably,
The target determination unit, including：Bandwidth determination subelement, idleness determination subelement, aggregate demand determine that son is single
Member and destination server determination subelement；Wherein,
The bandwidth determination subelement, for corresponding according to the topological connection relation and each physical link
Data on flows, determine effective outlet bandwidth corresponding to the physical equipment of each in the deployed environment；
The idleness determination subelement, for the CPU quantity according to corresponding to each described physical equipment and it is available in
Capacity is deposited, determines computing resource idleness corresponding to each described physical equipment；
The aggregate demand determination subelement, for the network demand corresponding to virtual machine to be disposed according to each
With the demand of calculating, overall network demand and total calculating demand corresponding to each virtual machine to be disposed are determined；
The destination server determination subelement, for being provided according to the effectively outlet bandwidth determined and described calculate
Source idleness, physical equipment to be disposed is determined from least one physical equipment；Wherein, it is described to treat that deployment takes physical equipment
Corresponding effectively outlet bandwidth and the computing resource idleness are respectively greater than the overall network demand and total calculating
Demand；According to the topological connection relation, it is determined that the destination server corresponding with the physical equipment to be disposed.
Preferably,
The physical equipment includes：Server and interchanger；
The idleness determination subelement, for for each interchanger：According to the topological connection relation, it is determined that with
At least one server corresponding to the interchanger；CPU numbers corresponding to distinguishing each the described server determined
Amount and free memory capacity are overlapped, and using stack result as the computing resource idleness corresponding to the interchanger；
The destination server determination subelement, for performing A1 to A4：
A1：Effectively outlet bandwidth and the computing resource idleness according to corresponding to each described server, really
Deployment services device is treated with the presence or absence of at least one in fixed at least one server, if it is, at least one treating portion from described
Affix one's name to server in select a destination server, otherwise, according to the topological connection relation, it is determined that with each service
Connected at least one first interchanger of device；
A2：The effectively outlet bandwidth and the computing resource are idle according to corresponding to each described first interchanger
Rate, determine to whether there is at least one interchanger to be disposed at least one first interchanger, if it is, performing step
A3, otherwise perform A4；
A3：A target switch is selected from least one interchanger to be disposed, and by the target switch
Corresponding server is as the destination server；
A4：It is determined that at least one second switch being connected with each first interchanger, and described second is exchanged
Machine performs step A2 as first interchanger.
The embodiments of the invention provide a kind of virtual machine deployment method and device, and ring is correspondingly disposed according to virtual machine to be disposed
The flow information and resource information in border, it is determined that the network demand of virtual machine to be disposed can be met simultaneously and calculate the target clothes of demand
Business device, and by deploying virtual machine to be disposed into the destination server determined.This has considered not only using tricks for server
Calculate resource, it is also considered that the network constraint condition between each server arrived, the possibility of flow focus generation is reduced, so as to
Improve the service efficiency of Internet resources.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are the present invention
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is a kind of flow chart for virtual machine deployment method that one embodiment of the invention provides；
Fig. 2 is a kind of flow chart for virtual machine deployment method that another embodiment of the present invention provides；
Fig. 3 is a kind of structural representation for deploying virtual machine device that one embodiment of the invention provides.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments, based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained on the premise of creative work is not made, belongs to the scope of protection of the invention.
As shown in figure 1, the embodiments of the invention provide a kind of virtual machine deployment method, this method can include following step
Suddenly：
Step 101：Determine the flow information of deployed environment corresponding at least one virtual machine to be disposed；
Step 102：Determine resource information corresponding at least one physical equipment difference in the deployed environment；
Step 103：Determine at least one virtual machine to be disposed, net corresponding to virtual machine to be disposed described in each
Network needs read group total demand；
Step 104：According to the flow information and the resource information, determined from least one physical equipment to
A few destination server；Wherein, available resources corresponding to the destination server meet at least one described to treat that deployment is virtual
The network demand corresponding to machine and the calculating demand；
Step 105：At least one virtual machine to be disposed is deployed in the destination server determined respectively.
In above-described embodiment, the flow information and resource information of deployed environment are corresponded to according to virtual machine to be disposed, it is determined that energy
Meet the network demand of virtual machine dispose and the destination server of calculating demand simultaneously, and will deploying virtual machine be disposed to true
In the destination server made.This has considered not only the available computational resources of server, it is also considered that each server arrived it
Between network constraint condition, reduce flow focus generation possibility, so as to improve the service efficiency of Internet resources.
In one embodiment of the invention, the embodiment of step 101, it can include：
Determine the annexation between each described physical equipment and other physical equipments in the deployed environment；
According to the annexation corresponding to each physical equipment, Topology connection corresponding to the deployed environment is determined
Relation；Wherein, each described annexation corresponding to each described physical equipment is formed in the topological connection relation
One physical link；
Data on flows corresponding to each physical link is obtained, and according to the data on flows of acquisition, determines the portion
Affix one's name to flow information corresponding to environment.
For example, the physical equipment in deployed environment can be server and interchanger, in the cloud platform of deployed environment
Topology Discovery module and traffic statistics analysis module are provided with scheduling plane, Topology Discovery module passes through polymorphic type southbound interface
Link connection relation information is got from interchanger and server, flow statistical module passes through the cycle to switch ports themselves flow
Property sampling, collection, obtain the flow distribution situation in each of the links, and be associated with topological connection relation, basis of formation net
The profile of flowrate of network, so as to according to the profile of flowrate, determine the flow information of deployed environment.Or it can also pass through cloud
Physical equipment monitoring server, interconnection situation and friendship by snmp protocol timing acquisition switch-to-server are disposed in platform
Change planes the traffic conditions of link, so that it is determined that the flow information of deployed environment.Thus, accurately determine to flow corresponding to deployed environment
Information is measured, is easy to, subsequently according to this flow information, accurately determine destination server, is beaten to improve the service efficiency of Internet resources
Good basis down.
In one embodiment of the invention, the embodiment of step 104, it can include：
According to data on flows corresponding to the topological connection relation and each physical link, the deployment is determined
Effective outlet bandwidth corresponding to the physical equipment of each in environment；
According to CPU quantity and free memory capacity corresponding to each described physical equipment, each described physics is determined
Computing resource idleness corresponding to equipment；
Network demand and the calculating demand corresponding to virtual machine to be disposed according to each, determine each described treat
Dispose overall network demand corresponding to virtual machine and total calculating demand；
According to effectively outlet bandwidth and the computing resource idleness determined, set from least one physics
Physical equipment to be disposed is determined in standby；Wherein, it is described to treat that deployment takes the effectively outlet bandwidth and described corresponding to physical equipment
Computing resource idleness is respectively greater than the overall network demand and total calculating demand；
According to the topological connection relation, it is determined that the destination server corresponding with the physical equipment to be disposed.
Herein, the scheduling plane of cloud platform is read by snmp protocol and NETCONF agreements or OpenFlow agreements
Take the topological connection relation of deployed environment (i.e. data center), and set from server reach data center outlet need altogether by
H layer switch forwards.Flow collection agreement such as Sflow, Netflow or full dose acquisition mode are reused, obtains every physics chain
Statistics flow distribution matrix on road：TrafficList=(T1, T2..., TL).Then effectively go out corresponding to each physical equipment
Port band width is EBWk, and EBWk calculation is min { B1-T1, B2-T2..., BH-TH, wherein B1, B2…BHIt is followed successively by this
Physical equipment is to the bandwidth of each section of link of outlet, and T1, T2…THThen it is followed successively by and is determined according to the data on flows of each section of link
It is long when average statistics flow.
Then, CPU quantity and free memory capacity according to corresponding to each physical equipment, determine each physical equipment
Corresponding computing resource idleness, it then can determine that effective outlet bandwidth and computing resource idleness respectively greater than treat that deployment is empty
The overall network demand of plan machine and total physical equipment to be disposed for calculating demand, and server corresponding to physical equipment to be disposed is made
For destination server.
Specifically, in one embodiment of the invention, the physical equipment includes：Server and interchanger；
According to CPU quantity and free memory capacity corresponding to each described physical equipment, each described physics is determined
Computing resource idleness corresponding to equipment, including：
For each interchanger：According to the topological connection relation, it is determined that corresponding with the interchanger at least one
The server；
To each described server for determining, corresponding CPU quantity and free memory capacity are overlapped respectively, and
Using stack result as the computing resource idleness corresponding to the interchanger.
Need to forward by 5 layer switch altogether for example, setting and reaching the outlet of data center from server, then certain in the 3rd layer
Computing resource idleness can be calculated by procedure below corresponding to one switch A：Determining the 2nd layer, (the 2nd layer compared with the 3rd layer partially
Bottom) in the interchanger that is connected with the switch A, for example, the 2nd layer of the interchanger determined has switch b and interchanger C,
Determine the underlying services device that is connected with switch b and interchanger C respectively again, using each underlying services device determined as
Server corresponding with switch A, then CPU quantity and free memory capacity corresponding to each underlying services device are entered respectively
Row superposition, using stack result as computation-free rate corresponding to the interchanger.It can thus be seen that counted corresponding to underlying services device
The CPU quantity of calculation idleness with itself is related to free memory capacity, and computation-free rate is corresponding corresponding to interchanger
Multiple underlying services devices are related, and number of servers corresponding to the interchanger closer to the outlet number of plies is more, and calculating corresponding to it is empty
Not busy rate is also bigger.
In one embodiment of the invention, the effectively outlet bandwidth and the computing resource that the basis is determined are idle
Rate, physical equipment to be disposed is determined from least one physical equipment, including：
A1：Effectively outlet bandwidth and the computing resource idleness according to corresponding to each described server, really
Deployment services device is treated with the presence or absence of at least one in fixed at least one server, if it is, at least one treating portion from described
Affix one's name to server in select a destination server, otherwise, according to the topological connection relation, it is determined that with each service
Connected at least one first interchanger of device；
A2：The effectively outlet bandwidth and the computing resource are idle according to corresponding to each described first interchanger
Rate, determine to whether there is at least one interchanger to be disposed at least one first interchanger, if it is, performing step
A3, otherwise perform A4；
A3：A target switch is selected from least one interchanger to be disposed, and by the target switch
Corresponding server is as the destination server；
A4：It is determined that at least one second switch being connected with each first interchanger, and described second is exchanged
Machine performs step A2 as first interchanger.
Herein, with ServerList=(Server1, Server2..., ServerM) represent deployed environment in service
Device cluster, wherein the available CPU and internal memory on each Server are expressed as：Serverk=(CPUk, RAMk).And set virtual machine
The overall network demand of cluster isEach ServerkEffective outlet bandwidth be EBWk.Determine whether to deposit
Treat whether effective outlet bandwidth of deployment services device and computation-free rate can meet total calculating need of virtual machine to be disposed at one
During overall network demand of summing, in order to improve the determination efficiency for determining to treat deployment services device, to each service in ServerList
Device carries out resource idleness and carries out descending sort, if ranking results are (S1, S2..., SM), then primarily look at S1EBW1Whether can
Meet EBW1>Btotal requirement, if can meet, then investigate and can meet
Requirement, if both met, will the server as destination server.Then by whole VMList clustered deploy(ment)s to S1
On server.If effective outlet bandwidth can not meet demand, then investigate S2The EBW of server2EBW can be met2>Btotal
Requirement, on the premise of meeting to require, then compare and can meet 's
It is required that investigate always to whole server SsM, on the premise of above-mentioned two condition is met, will whole VMList be deployed to this
On physical server.When not being ranked up, it is possible to determine it is multiple treat deployment services device, then can wait to dispose according to each
Server respectively corresponding to resource information, select a computing resource idleness it is larger treat deployment services device as destination service
Device.
If in (S1, S2..., SM) set in, can not find the service that can meet total calculating demand and overall network demand simultaneously
Device, then the first layer switch is investigated, if the first layer switch is (Switch1, witch2..., Switchn), calculate each
SwitchkEffective outlet bandwidth be SEBWk, SEBWkCalculation be min { Bs1-T1, Bs2-T2..., BsH-TH, wherein
Bs1, Bs2…BsHThis Switch is followed successively by the bandwidth of each section of physical link of outlet, and T1, T2…THThen it is followed successively by each section of chain
Road it is long when average statistics flow.Simultaneously again to each SwitchkThe ServerList of lower connection computing resource idleness enters
Row descending sort, if ranking results are (ServerList1, ServerList2... ..., ServerListn).Primarily look at
Switch1EBW1Whether EBW can be met1>Btotal requirement, if can meet, then investigate and can meetIf the two requirements can meet,
Using this interchanger as interchanger to be disposed, Switch2 is otherwise investigated again, until finding suitable Switch.When not to exchanging
When machine is ranked up, it is possible to determine multiple interchangers to be disposed, then can be corresponded to respectively according to each interchanger to be disposed
Resource information, select the larger interchanger to be disposed of a computing resource idleness as target switch.
If (Switch1, Switch2..., Switchn) set in, can not meet above-mentioned condition, then investigate one again
Layer switch (L2Switch1, L2Switch2..., L2Switchn), and repeat first layer interchanger screening process, see whether
Suitable L2Switch can be found and meet deployment conditions, if can not find, then up investigate the interchanger of higher level
(L3Switch1, L3Switch2..., L3Switchn), until reaching top layer interchanger (LHSwitch1, LHSwitch2...,
LHSwitchn).If top layer interchanger LHSwitch can not also meet condition, show that the system can not meet empty machine cluster
Deployment request.
It is described to select a target to exchange from least one interchanger to be disposed in one embodiment of the invention
Machine, including：
The computing resource idleness corresponding to interchanger to be disposed according to each, at least one portion is treated to described
Administration's interchanger is ranked up；
According to the ranking results, successively using interchanger to be disposed described in each as current SWITCH, perform：
Determine that effective outlet bandwidth of each server corresponding to the current SWITCH and the computing resource are empty
Whether not busy rate meets network demand and calculating demand corresponding to each virtual machine to be disposed respectively；
If it is, determine that the current SWITCH is the target switch.
Herein, after determining interchanger to be disposed, by using optimum linearity planning algorithm, by VMList
Virtual machine set is distributed to each server corresponding to interchanger to be disposed, and ensures distribution to the VMList in each server S k
Resource needed for subsetIt can be met.If scheme as existing, this is treated
Interchanger is disposed as target switch, if if such allocative decision can not be found so that be assigned to each server
VMList subsets all meet resource requirement, then continue to investigate other interchangers to be disposed, and meet treating for the program until finding
Interchanger is disposed, as target switch, and using server corresponding to the target switch as destination server.If should
Each interchanger to be disposed of layer does not meet the program, then needs to continue to investigate last layer interchanger.Thus, not only calculated from total
Respective switch is investigated in resource and overall network demand, is investigated also from the network demand of each virtual machine and calculating demand every
Server corresponding to individual interchanger, i.e., investigated from entirety and individual demand, so as to improve the reasonable of deploying virtual machine
Property, and then further increase the service efficiency of Internet resources.
Below so that the physical equipment in deployed environment is server and interchanger as an example, to void provided in an embodiment of the present invention
Plan machine dispositions method is described in detail, as shown in Fig. 2 this method may comprise steps of：
Step 201：The annexation between each server and respective switch is determined, according to the connection determined
Relation, determine topological connection relation corresponding to deployed environment；Wherein, each annexation is formed in the topological connection relation
A physical link.
For example, 50 servers and 10 interchangers in deployed environment, the interchanger being joined directly together with 50 servers
There are 5, this 5 interchangers are the first layer switch, and the interchanger being joined directly together with first layer interchanger there are 3, this 3 exchanges
Machine is layer 2 switch, then remaining 2 interchangers are top layer interchanger, are connected with the interchanger of the second layer.These services
Annexation between device and interchanger is the topological connection relation of deployed environment, and the connection between each two physical equipment is formed
One physical link.
Step 202：Obtain data on flows corresponding to each physical link, and according to the data on flows of acquisition, really
Flow information corresponding to the fixed deployed environment.
Herein, Topology Discovery module and traffic statistics analysis mould are provided with the cloud platform scheduling plane of deployed environment
Block, Topology Discovery module get link connection relation information, flow by polymorphic type southbound interface from interchanger and server
Statistical module by the periodic samples to switch ports themselves flow, collection, obtain each of the links on flow distribution situation, and
It is associated with topological connection relation, the profile of flowrate of basis of formation network, so that it is determined that going out the flow information of deployed environment.
Step 203：According to data on flows corresponding to the topological connection relation and each physical link, it is determined that
Effective outlet bandwidth corresponding to each server in the deployed environment.
Herein, the scheduling plane of cloud platform is read by snmp protocol and NETCONF agreements or OpenFlow agreements
Take the topological connection relation of deployed environment (i.e. data center), and set from server reach data center outlet need altogether by
3 layer switch forward.Flow collection agreement such as Sflow, Netflow or full dose acquisition mode are reused, obtains every physics chain
Statistics flow distribution matrix on road：TrafficList=(T1, T2, T3).Then effective outlet bandwidth corresponding to each server
For EBWk, and EBWk calculation is min { B1-T1, B2-T2..., B3-T3, wherein B1, B2, B3It is followed successively by this server
To the bandwidth of each section of link of outlet, and T1, T2, T3Then be followed successively by according to the data on flows of each section of link determine it is long when put down
Count flow.
Step 204：According to CPU quantity corresponding to each server and free memory capacity, each server is determined
Corresponding computing resource idleness.
For example, available server cluster is ServerList=(Server1, Server2..., Server50), wherein often
Available CPU and internal memory on individual Server are expressed as：Serverk=(CPUk, RAMk)。
Step 205：Network demand and the calculating demand corresponding to virtual machine to be disposed according to each, it is determined that respectively
Overall network demand and total calculating demand corresponding to the individual virtual machine to be disposed.
Step 206：According to computing resource idleness corresponding to each server, descending row is carried out to each server
Sequence, and most preceding server is come as current server according to ranking results, selection.
Step 207：Judge whether effective outlet bandwidth of current server is more than corresponding to each virtual machine to be disposed always
Network demand, if it is, performing step 208；Otherwise step 210 is performed.
Step 208：Judge whether the computing resource idleness of current server is more than corresponding to each virtual machine to be disposed
It is total to calculate demand, if it is, performing step 209, otherwise perform step 210；
Step 209：By each deploying virtual machine to be disposed on current server, and terminate current process.
Step 210：The server of not selected mistake is judged whether, if it is, performing step 211, otherwise performs step
Rapid 212；
Step 211：The server of the next order of current server will be come as current server, and perform step 207.
In step 206 to step 211, judge effective outlet bandwidth corresponding to each server of bottom successively and calculate to provide
Whether source idleness is respectively greater than the overall network demand of virtual machine to be disposed and total calculating demand, if so, then will directly treat portion
Deploying virtual machine is affixed one's name on satisfactory server.
Step 212：It is determined that the first layer switch being connected with each server, and determine each first layer switch pair
The effective outlet bandwidth and computing resource idleness answered.
Need to forward by 3 layer switch altogether for example, server reaches outlet, then in the 2nd layer corresponding to a certain switch A
Computing resource idleness can be calculated by procedure below：It is determined that the first layer switch being connected with the switch A, for example,
The interchanger determined has switch b and interchanger C, then determines the underlying services being connected with switch b and interchanger C respectively
Device, using each underlying services device determined as server corresponding with switch A, then by each underlying services device pair
The CPU quantity and free memory capacity answered are overlapped respectively, using stack result as computation-free corresponding to the interchanger
Rate.
If the first layer switch is (Switch1, Switch2..., Switch5), calculate each SwitchkEffective outlet
With a width of SEBWk, SEBWkCalculation be min { Bs1-T1, Bs2- T2..., Bs5-T5, wherein Bs1, Bs2…Bs5It is followed successively by
This Switch is to the bandwidth of each section of physical link of outlet, and T1, T2…THThen be followed successively by each section of link it is long when average statistics stream
Amount.
Step 213：Using each interchanger as current SWITCH, effective outlet bandwidth corresponding to current SWITCH is judged
Whether it is respectively greater than overall network demand corresponding to each virtual machine to be disposed and total calculating demand with computing resource idleness, if
It is to perform step 214, otherwise performs step 216.
Herein, determine whether each first layer switch can meet overall network demand and total the step of calculating demand successively
It is identical with judging the process of each server successively, it will not be repeated here.
Step 214：Judge effective outlet bandwidth of each server and the meter corresponding to the current SWITCH
Calculate whether resource idleness meets network demand and calculating demand corresponding to each virtual machine to be disposed respectively, if it is,
Step 215 is performed, otherwise performs step 216.
Herein, using optimum linearity planning algorithm, each virtual machine is distributed to each clothes corresponding to current SWITCH
Business device, ensure that distribution to resource needed for the virtual machine of each server can be met.If such distribution can not be found
Scheme, then next interchanger is investigated with same step again, until finding suitable interchanger so that meet three above bar
Part, Switch is otherwise traversed always5。
Step 215：By corresponding to each deploying virtual machine to be disposed to current SWITCH on each server, and terminate to work as
Preceding flow.
Step 216：It is determined that the last layer interchanger being connected with current SWITCH, and determine each last layer interchanger pair
The effective outlet bandwidth and computing resource idleness answered, and step 213 is performed, until respective switch is true in deployed environment
It is fixed.
Herein, the deterministic process of respective switch and selection course and the judgement of server in step 206 to step 211
It is identical with selection course, do not repeating herein.If respective switch can not meet condition, show that the deployed environment can not expire
The deployment request of the empty machine cluster of foot.
As shown in figure 3, the embodiments of the invention provide a kind of deploying virtual machine device, including：Information determination unit 301,
Demand determining unit 302, target determination unit 303 and deployment unit 304；Wherein,
Described information determining unit 301, for determining the flow of deployed environment corresponding at least one virtual machine to be disposed
Information, and determine resource information corresponding to the difference of at least one physical equipment in the deployed environment；
The demand determining unit 302, portion is treated for determining at least one virtual machine to be disposed, described in each
Affix one's name to network demand corresponding to virtual machine and calculate demand；
The target determination unit 303, for according to the flow information and the resource information, from described at least one
At least one destination server is determined in physical equipment；Wherein, available resources corresponding to the destination server meet at least one
The network demand and the calculating demand corresponding to the individual virtual machine to be disposed；
The deployment unit 304, described at least one virtual machine to be disposed is deployed to respectively determines
In destination server.
In one embodiment of the invention, described information determining unit 301, for determining each in the deployed environment
Annexation between the physical equipment and other physical equipments；The connection is closed according to corresponding to each physical equipment
System, determines topological connection relation corresponding to the deployed environment；Wherein, corresponding to each described physical equipment described in each
The physical link that annexation is formed in the topological connection relation；Obtain flow corresponding to each physical link
Data, and according to the data on flows of acquisition, determine flow information corresponding to the deployed environment.
In one embodiment of the invention, the target determination unit 303, including：Bandwidth determination subelement, idleness determine
Subelement, aggregate demand determination subelement and destination server determination subelement；Wherein,
The bandwidth determination subelement, for corresponding according to the topological connection relation and each physical link
Data on flows, determine effective outlet bandwidth corresponding to the physical equipment of each in the deployed environment；
The idleness determination subelement, for the CPU quantity according to corresponding to each described physical equipment and it is available in
Capacity is deposited, determines computing resource idleness corresponding to each described physical equipment；
The aggregate demand determination subelement, for the network demand corresponding to virtual machine to be disposed according to each
With the demand of calculating, overall network demand and total calculating demand corresponding to each virtual machine to be disposed are determined；
The destination server determination subelement, for being provided according to the effectively outlet bandwidth determined and described calculate
Source idleness, physical equipment to be disposed is determined from least one physical equipment；Wherein, it is described to treat that deployment takes physical equipment
Corresponding effectively outlet bandwidth and the computing resource idleness are respectively greater than the overall network demand and total calculating
Demand；According to the topological connection relation, it is determined that the destination server corresponding with the physical equipment to be disposed.
In one embodiment of the invention, the physical equipment includes：Server and interchanger；
The idleness determination subelement, for for each interchanger：According to the topological connection relation, it is determined that with
At least one server corresponding to the interchanger；CPU numbers corresponding to distinguishing each the described server determined
Amount and free memory capacity are overlapped, and using stack result as the computing resource idleness corresponding to the interchanger；
The destination server determination subelement, for performing A1 to A4：
A1：Effectively outlet bandwidth and the computing resource idleness according to corresponding to each described server, really
Deployment services device is treated with the presence or absence of at least one in fixed at least one server, if it is, at least one treating portion from described
Affix one's name to server in select a destination server, otherwise, according to the topological connection relation, it is determined that with each service
Connected at least one first interchanger of device；
A2：The effectively outlet bandwidth and the computing resource are idle according to corresponding to each described first interchanger
Rate, determine to whether there is at least one interchanger to be disposed at least one first interchanger, if it is, performing step
A3, otherwise perform A4；
A3：A target switch is selected from least one interchanger to be disposed, and by the target switch
Corresponding server is as the destination server；
A4：It is determined that at least one second switch being connected with each first interchanger, and described second is exchanged
Machine performs step A2 as first interchanger.
The contents such as the information exchange between each unit, implementation procedure in said apparatus, due to implementing with the inventive method
Example is based on same design, and particular content can be found in the narration in the inventive method embodiment, and here is omitted.
The embodiment of the present invention additionally provides a kind of computer-readable recording medium, including execute instruction, when the processor of storage control is held
During the row execute instruction, the storage control performs the method that any of the above-described embodiment of the present invention provides.
The embodiment of the present invention additionally provides a kind of storage control, including：Processor, memory and bus；The storage
Device is used to store execute instruction, and the processor is connected with the memory by the bus, when the storage control is transported
During row, the execute instruction of memory storage described in the computing device, so that the storage control performs the present invention
The method that any of the above-described embodiment provides.
In summary, the more than present invention each embodiment at least has the advantages that：
1st, in embodiments of the present invention, the flow information and resource information of deployed environment are corresponded to according to virtual machine to be disposed,
It is determined that the network demand of virtual machine to be disposed can be met simultaneously and calculate the destination server of demand, and will virtual machine portion be disposed
Administration is into the destination server determined.This has considered not only the available computational resources of server, it is also considered that each clothes arrived
Network constraint condition between business device, the possibility of flow focus generation is reduced, so as to improve the use of Internet resources effect
Rate.
2nd, in embodiments of the present invention, the data on flows according to corresponding to each physical link, determine that deployed environment is corresponding
Topological connection relation flow information.It is easy to, subsequently according to this flow information, accurately determine destination server, to improve net
The service efficiency of network resource is laid a good foundation.
3rd, in embodiments of the present invention, determine to meet overall network demand and total interchanger for calculating demand and then
Determine whether each server corresponding to the interchanger can meet network demand and meter corresponding to each virtual machine difference to be disposed
Calculation demand.Thus investigated from the entirety of virtual machine to be disposed and individual demand, so as to improve the conjunction of deploying virtual machine
Rationality, and then further increase the service efficiency of Internet resources.
It should be noted that herein, such as first and second etc relational terms are used merely to an entity
Or operation makes a distinction with another entity or operation, and not necessarily require or imply and exist between these entities or operation
Any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant be intended to it is non-
It is exclusive to include, so that process, method, article or equipment including a series of elements not only include those key elements,
But also the other element including being not expressly set out, or also include solid by this process, method, article or equipment
Some key elements.In the absence of more restrictions, the key element limited by sentence " including one ", is not arranged
Except other identical factor in the process including the key element, method, article or equipment being also present.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above method embodiment can pass through
Programmed instruction related hardware is completed, and foregoing program can be stored in computer-readable storage medium, the program
Upon execution, the step of execution includes above method embodiment；And foregoing storage medium includes：ROM, RAM, magnetic disc or light
Disk etc. is various can be with the medium of store program codes.
It is last it should be noted that：Presently preferred embodiments of the present invention is the foregoing is only, is merely to illustrate the skill of the present invention
Art scheme, is not intended to limit the scope of the present invention.Any modification for being made within the spirit and principles of the invention,
Equivalent substitution, improvement etc., are all contained in protection scope of the present invention.
Claims (10)
- A kind of 1. virtual machine deployment method, it is characterised in that including：Determine the flow information of deployed environment corresponding at least one virtual machine to be disposed；Determine resource information corresponding at least one physical equipment difference in the deployed environment；Determine at least one virtual machine to be disposed, network demand and calculating corresponding to virtual machine to be disposed described in each Demand；According to the flow information and the resource information, at least one target clothes are determined from least one physical equipment Business device；Wherein, available resources corresponding to the destination server meet described corresponding at least one virtual machine to be disposed Network demand and the calculating demand；At least one virtual machine to be disposed is deployed in the destination server determined respectively.
- 2. according to the method for claim 1, it is characterised in thatThe flow information for determining deployed environment corresponding at least one virtual machine to be disposed, including：Determine the annexation between each described physical equipment and other physical equipments in the deployed environment；According to the annexation corresponding to each physical equipment, determine that Topology connection corresponding to the deployed environment closes System；Wherein, each described annexation corresponding to each described physical equipment formed in the topological connection relation one Bar physical link；Data on flows corresponding to each physical link is obtained, and according to the data on flows of acquisition, determines the deployment ring Flow information corresponding to border.
- 3. according to the method for claim 2, it is characterised in thatIt is described according to the flow information and the resource information, determine at least one mesh from least one physical equipment Server is marked, including：According to data on flows corresponding to the topological connection relation and each physical link, the deployed environment is determined In effective outlet bandwidth corresponding to each described physical equipment；According to CPU quantity and free memory capacity corresponding to each described physical equipment, each described physical equipment is determined Corresponding computing resource idleness；Network demand and the calculating demand corresponding to virtual machine to be disposed according to each, determine each described to wait to dispose Overall network demand corresponding to virtual machine and total calculating demand；According to effectively outlet bandwidth and the computing resource idleness determined, from least one physical equipment It is determined that physical equipment to be disposed；Wherein, it is described to treat that deployment takes effectively outlet bandwidth and the calculating corresponding to physical equipment Resource idleness is respectively greater than the overall network demand and total calculating demand；According to the topological connection relation, it is determined that the destination server corresponding with the physical equipment to be disposed.
- 4. according to the method for claim 3, it is characterised in thatThe physical equipment includes：Server and interchanger；According to CPU quantity and free memory capacity corresponding to each described physical equipment, each described physical equipment is determined Corresponding computing resource idleness, including：For each interchanger：According to the topological connection relation, it is determined that corresponding with the interchanger at least one described Server；To each described server for determining, corresponding CPU quantity and free memory capacity are overlapped respectively, and will be folded Add result as the computing resource idleness corresponding to the interchanger.
- 5. according to the method for claim 4, it is characterised in thatEffectively outlet bandwidth and the computing resource idleness that the basis is determined, set from least one physics Physical equipment to be disposed is determined in standby, including：A1：Effectively outlet bandwidth and the computing resource idleness, determine institute according to corresponding to each described server State at least one server and treat deployment services device with the presence or absence of at least one, if it is, at least one treating deployment clothes from described Be engaged in device in select a destination server, otherwise, according to the topological connection relation, it is determined that with each server phase At least one first interchanger even；A2：Effectively outlet bandwidth and the computing resource idleness according to corresponding to each described first interchanger, really It whether there is at least one interchanger to be disposed in fixed at least one first interchanger, if it is, performing step A3, otherwise Perform A4；A3：A target switch is selected from least one interchanger to be disposed, and the target switch is corresponding Server as the destination server；A4：It is determined that at least one second switch being connected with each first interchanger, and the second switch is made Step A2 is performed for first interchanger.
- 6. according to the method for claim 5, it is characterised in thatOne target switch of selection from least one interchanger to be disposed, including：The computing resource idleness corresponding to interchanger to be disposed according to each, to it is described it is at least one treat deployment hand over Change planes and be ranked up；According to the ranking results, successively using interchanger to be disposed described in each as current SWITCH, perform：Determine effective outlet bandwidth of each server corresponding to the current SWITCH and the computing resource idleness Whether each the to be disposed virtual machine corresponding to network demand and calculating demand is met respectively；If it is, determine that the current SWITCH is the target switch.
- A kind of 7. deploying virtual machine device, it is characterised in that including：Information determination unit, demand determining unit, target determine single Member and deployment unit；Wherein,Described information determining unit, for determining the flow information of deployed environment corresponding at least one virtual machine to be disposed, and Determine resource information corresponding at least one physical equipment difference in the deployed environment；The demand determining unit, treat that deployment is virtual for determining at least one virtual machine to be disposed, described in each Network demand corresponding to machine and calculating demand；The target determination unit, for according to the flow information and the resource information, being set from least one physics The standby middle at least one destination server of determination；Wherein, available resources corresponding to the destination server meet at least one described The network demand corresponding to virtual machine to be disposed and the calculating demand；The deployment unit, at least one virtual machine to be disposed to be deployed into the destination service determined respectively In device.
- 8. device according to claim 7, it is characterised in thatDescribed information determining unit, for determining each described physical equipment in the deployed environment and other physical equipments Between annexation；According to the annexation corresponding to each physical equipment, determine corresponding to the deployed environment Topological connection relation；Wherein, each described annexation corresponding to each described physical equipment forms the Topology connection A physical link in relation；Data on flows corresponding to each physical link is obtained, and according to the flow number of acquisition According to determining flow information corresponding to the deployed environment.
- 9. device according to claim 8, it is characterised in thatThe target determination unit, including：Bandwidth determination subelement, idleness determination subelement, aggregate demand determination subelement and Destination server determination subelement；Wherein,The bandwidth determination subelement, for the stream according to corresponding to the topological connection relation and each physical link Data are measured, determine effective outlet bandwidth corresponding to the physical equipment of each in the deployed environment；The idleness determination subelement, hold for the CPU quantity according to corresponding to each described physical equipment and free memory Amount, determines computing resource idleness corresponding to each described physical equipment；The aggregate demand determination subelement, by the network demand corresponding to virtual machine to be disposed according to each and based on Calculation demand, determine overall network demand and total calculating demand corresponding to each virtual machine to be disposed；The destination server determination subelement, for empty according to the effectively outlet bandwidth determined and the computing resource Not busy rate, physical equipment to be disposed is determined from least one physical equipment；Wherein, it is described to treat that deployment takes physical equipment and corresponded to Effectively outlet bandwidth and the computing resource idleness be respectively greater than the overall network demand and total calculating demand； According to the topological connection relation, it is determined that the destination server corresponding with the physical equipment to be disposed.
- 10. device according to claim 9, it is characterised in thatThe physical equipment includes：Server and interchanger；The idleness determination subelement, for for each interchanger：According to the topological connection relation, it is determined that with it is described At least one server corresponding to interchanger；To each described server for determining respectively corresponding to CPU quantity and Free memory capacity is overlapped, and using stack result as the computing resource idleness corresponding to the interchanger；The destination server determination subelement, for performing A1 to A4：A1：Effectively outlet bandwidth and the computing resource idleness, determine institute according to corresponding to each described server State at least one server and treat deployment services device with the presence or absence of at least one, if it is, at least one treating deployment clothes from described Be engaged in device in select a destination server, otherwise, according to the topological connection relation, it is determined that with each server phase At least one first interchanger even；A2：Effectively outlet bandwidth and the computing resource idleness according to corresponding to each described first interchanger, really It whether there is at least one interchanger to be disposed in fixed at least one first interchanger, if it is, performing step A3, otherwise Perform A4；A3：A target switch is selected from least one interchanger to be disposed, and the target switch is corresponding Server as the destination server；A4：It is determined that at least one second switch being connected with each first interchanger, and the second switch is made Step A2 is performed for first interchanger.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111124593A (en) * | 2018-10-31 | 2020-05-08 | 中国移动通信有限公司研究院 | Information processing method and device, network element and storage medium |
| CN111324424A (en) * | 2020-04-15 | 2020-06-23 | 中国联合网络通信集团有限公司 | Virtual machine deployment method, device, server and storage medium |
| CN114006764A (en) * | 2021-11-02 | 2022-02-01 | 北京天融信网络安全技术有限公司 | Deployment method and device of safety network element based on super-fusion system |
| CN115190034A (en) * | 2021-04-07 | 2022-10-14 | 丁志勇 | Service deployment method based on edge cloud computing |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103560967A (en) * | 2013-10-17 | 2014-02-05 | 电子科技大学 | Virtual data center mapping method sensing service requirement |
| CN103577271A (en) * | 2013-11-14 | 2014-02-12 | 浪潮(北京)电子信息产业有限公司 | Cloud management platform, host machines and virtual machine resource deploying method and system |
| CN105407080A (en) * | 2015-10-22 | 2016-03-16 | 华为技术有限公司 | Method and device used for making virtual machine disposition strategy |
| CN106874116A (en) * | 2017-02-14 | 2017-06-20 | 郑州云海信息技术有限公司 | A kind of server selection method and device for placing newly-built virtual machine |
-
2017
- 2017-10-30 CN CN201711035080.4A patent/CN107749805A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103560967A (en) * | 2013-10-17 | 2014-02-05 | 电子科技大学 | Virtual data center mapping method sensing service requirement |
| CN103577271A (en) * | 2013-11-14 | 2014-02-12 | 浪潮(北京)电子信息产业有限公司 | Cloud management platform, host machines and virtual machine resource deploying method and system |
| CN105407080A (en) * | 2015-10-22 | 2016-03-16 | 华为技术有限公司 | Method and device used for making virtual machine disposition strategy |
| CN106874116A (en) * | 2017-02-14 | 2017-06-20 | 郑州云海信息技术有限公司 | A kind of server selection method and device for placing newly-built virtual machine |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111124593A (en) * | 2018-10-31 | 2020-05-08 | 中国移动通信有限公司研究院 | Information processing method and device, network element and storage medium |
| CN111324424A (en) * | 2020-04-15 | 2020-06-23 | 中国联合网络通信集团有限公司 | Virtual machine deployment method, device, server and storage medium |
| CN111324424B (en) * | 2020-04-15 | 2023-07-18 | 中国联合网络通信集团有限公司 | Virtual machine deployment method and device, server and storage medium |
| CN115190034A (en) * | 2021-04-07 | 2022-10-14 | 丁志勇 | Service deployment method based on edge cloud computing |
| CN115190034B (en) * | 2021-04-07 | 2023-11-03 | 上海荟诚信息系统有限公司 | Service deployment method based on edge cloud computing |
| CN114006764A (en) * | 2021-11-02 | 2022-02-01 | 北京天融信网络安全技术有限公司 | Deployment method and device of safety network element based on super-fusion system |
| CN114006764B (en) * | 2021-11-02 | 2023-09-26 | 北京天融信网络安全技术有限公司 | Deployment method and device of safety network element based on super fusion system |
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