CN109002354A - A kind of computing resource cubic elasticity telescopic method and system based on OpenStack - Google Patents
A kind of computing resource cubic elasticity telescopic method and system based on OpenStack Download PDFInfo
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- CN109002354A CN109002354A CN201710421155.6A CN201710421155A CN109002354A CN 109002354 A CN109002354 A CN 109002354A CN 201710421155 A CN201710421155 A CN 201710421155A CN 109002354 A CN109002354 A CN 109002354A
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- 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
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- 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
Abstract
The present invention provides a kind of computing resource cubic elasticity telescopic method and system based on OpenStack, and this method includes dilatation and capacity reducing；1) dilatation: 1-1) make calculate node mirror image template and switch network configuration template；It 1-2) determines the host number of units and network segment for wanting dilatation, and determines the management IP and host name of host, these host batches are reduced into the calculate node operating system of different management IP and host name according to calculate node mirror image template, and modify configuration file automatically；1-3) switch network configuration template is uploaded on the interchanger for the calculate node being reduced and is loaded, so that these calculate node network-in-dialings, to be added to OpenStack computing resource；2) capacity reducing: 2-1) determine calculate node to be removed, the virtual machine in these calculate nodes is migrated or discharged, its configuration information for corresponding to switch port is removed；2-2) by the essential information through step 2-1) treated calculate node and calculates related service and removed from OpenStack cloud platform.
Description
Technical field
The present invention relates to field of cloud computer technology, in particular to a kind of computing resource cubic elasticity based on OpenStack
Telescopic method and system.
Background technique
With the rapid development of cloud computing technology, national governments increasingly pay attention to cloud computing service industry, one after another by cloud meter
Calculate new opportunities of the service as National Software industry fast development.Cloud computing service has become one of China's national development strategy,
It brings new power for China's economic engine, meanwhile, also bring new challenge.Cloud computing platform is as a kind of emerging
Resource uses platform, has formd the service mode of comparative maturity, more users can share using resource.
OpenStack is one of current most popular cloud computing platform, it can be huge infrastructure, software group
It is integrated at, data storage, forms a huge resource pool, provided computing resource, storage resource and network for user and provide
Source service.It is mainly made of control node, network node, calculate node and memory node.Wherein, calculate node accounts for main money
Source, and computing capability is provided as computing resource for virtual machine.Therefore, computing resource is made of batch calculate node, Mei Gejie
Point represents a physical server, and computing resource capacity is all calculate node computing capability summations.
Computing resource capacity requirement changes with the variation of business, and when computational resource requirements amount is larger, computing resource is nervous,
Capacity needs quickly increase, abbreviation dilatation；When computational resource requirements amount is smaller, vast resources is idle, in order to efficiently utilize resource,
Capacity needs quickly to reduce, abbreviation capacity reducing.OpenStack supports the dilatation of computing resource elasticity, currently, common expansion method is
Automatically dispose and manually dispose two ways, both methods are both needed to first install host operating system, downloading software package and match
Related service is set, is taken a long time, efficiency is lower；Meanwhile it facing required software packet upgrade lowest version is caused not download successfully and asking
Topic.OpenStack is removed in cloud platform currently without the quick capacity reducing function of standardization in computing resource elasticity capacity reducing
Calculate node information cannot remove automatically, error message can interfere virtual machine it is normal application and operation, or even influence
The stability of OpenStack cloud platform.
Summary of the invention
In order to overcome the deficiencies of the prior art, the present invention provides a kind of computing resource cubic elasticity based on OpenStack and stretches
Contracting method and system devise elastic telescopic process, can in the case where not needing installation operating system and downloading software package
In batches, rapidly by OpenStack computing resource dilatation, the larger saving elastic telescopic time improves the level of resources utilization；Together
When, it can be automatic to remove cloud platform residual risk rapidly by computing resource capacity reducing, ensure cloud platform stability.
In order to solve the above technical problem, the present invention provides technical solution it is as follows:
A kind of computing resource cubic elasticity telescopic method based on OpenStack, including dilatation and capacity reducing；
1) dilatation:
1-1) make calculate node mirror image template and switch network configuration template；
It 1-2) determines the host number of units and network segment for wanting dilatation, and determines the management IP and host name of host, saved according to calculating
These host batches are reduced into the calculate node operating system of different management IP and host name by point mirror image template, and are modified automatically
Configuration file；
1-3) switch network configuration template is uploaded on the interchanger for the calculate node being reduced and is loaded, with
Make these calculate node network-in-dialings, to be added to OpenStack computing resource；
2) capacity reducing:
It 2-1) determines calculate node to be removed, the virtual machine in these calculate nodes is migrated or discharged, remove
Its configuration information for corresponding to switch port；
2-2) by the essential information through step 2-1) treated calculate node and related service is calculated from OpenStack cloud
It is removed in platform, which includes the management IP of calculate node, host name information；Calculating related service includes nova-
Compute calculates service and OpenVSwitch virtual network service.
Further, calculate node mirror image template be by a calculate node operating system made of mirror image Software for producing
Image file, the calculate node operating system are to deploy to calculate related service, cloud disk service, virtual switch service and without void
The clean operating system of quasi- machine operation.
Further, switch network configuration template is the configuration file for configuring the interchanger of calculate node connection and generating,
The interchanger is shared by two kinds of networks of public network and private network of calculate node.
Further, step 1-2) in the management IP and host name of host are determined according to every host unique identifier.
Further, step 1-2) in using mirror image reduction software by mirror image dedicated network carry out batch reduction, it is described
Host is set as network startup.
Further, step 1-3) after, the calculate node operating system being reduced operates normally it and calculates related clothes
After business, service monitor self-starting, and service state and performance monitoring are carried out, the monitoring data of acquisition is sent to monitoring service
End is collected, and passes through the operating condition of monitoring page display service.
Further, step 1-3) after, the calculate node operating system being reduced is integrated, including virtual machine
Rebalancing, the adjustment of tenant's resource quota, resource use monitoring；
Virtual machine rebalancing refers to, is migrated the virtual machine part loaded in high calculate node to new according to balanced algorithm
In the calculate node of dilatation, to ensure the balance of computing resource；
The adjustment of tenant's resource quota refers to, its computing resource accounting is arranged according to each tenant's demand, further according to formula Ti=
N*Pi adjusts the quota of each tenant, wherein Ti indicates the computing resource quota of i-th of tenant, and N indicates entire OpenStack cloud
The computing resource total value of platform, Pi indicate the computing resource accounting of i-th of tenant；
Resource is referred to using monitoring, is supervised in real time to the service condition of the computing resource of total computing resource and each tenant
The data of acquisition are issued monitoring server and handled by control.
Further, the down state by the step 2-1) calculate node handled passes through in OpenStack cloud platform
Heartbeat mechanism discovery.
Further, step 2-2) after carry out service verification, which is by service monitoring and log pair
The state and performance for calculating related service are verified.
A kind of computing resource cubic elasticity telescopic system based on OpenStack, comprising:
One initial cell makes calculate node mirror image template and switch network configuration template；
One dilatation unit is grasped according to the calculate node that calculate node mirror image template restores to obtain different management IP and host name
Make system, and load on switch network configuration template to the interchanger of the calculate node of reduction, so that these calculate nodes add
Enter to OpenStack computing resource, and carries out service state and performance monitoring and data acquisition；
One integral unit carries out virtual machine rebalancing, tenant's resource quota tune to the calculate node operating system being reduced
Whole, resource uses monitoring；
Virtual machine in calculate node to be removed is migrated or is discharged by one capacity reducing unit, is removed it and is corresponded to exchange
The configuration information of generator terminal mouth, and its essential information and calculating related service are removed from OpenStack cloud platform, it is serviced
Verifying.
Compared with prior art, the present invention has an advantage that
1, can quickly, in high volume physical host be added or removes OpenStack cloud platform, to reach
The computing resource cubic elasticity telescopic effect of OpenStack；
2, it does not need that operating system being installed physical host into one by one, is not required to the software package that downloading calculates related service yet, keeps away
Failed download and complicated service configuration issues are exempted from；
3, program can modify service relevant configuration and automatic removing calculate node service automatically；
4, there is service monitoring and monitoring resource, it being capable of adaptive process monitoring management；
5, each tenant's resource quota calculation formula is devised；
6, the virtual machine of calculate node is able to carry out rebalancing adjustment；
7, OpenStack computing resource elastic telescopic process is simplified, the level of resources utilization is improved.
Detailed description of the invention
Fig. 1 is computing resource cubic elasticity telescopic method flow chart of the invention.
Specific embodiment
To enable features described above and advantage of the invention to be clearer and more comprehensible, special embodiment below, and institute's attached drawing is cooperated to make
Detailed description are as follows.
The present embodiment provides a kind of computing resource cubic elasticity telescopic method and system based on OpenStack, is to pass through
The technologies such as wildcard mirror image, adaptive modification, service monitoring and adaptive network realize, as shown in Figure 1.
1, specific dilatation process the following steps are included:
Step 1: initial cell, mainly production template, including production calculate node mirror image template and switch network are matched
Set template.One calculate node operating system is mirrored by the production of mirror image Software for producing, as calculate node mirror image template.
The calculate node operating system must deploy to calculate related service, virtual switch service and cloud disk service, and without void
The clean operating system of quasi- machine operation.Each calculate node has two kinds of networks of public network and private network, and public network is calculate node access
The network of internet, private network are the networks exchanged visits between virtual machine in calculate node.There is an interchanger on every cabinet server,
Both networks share the interchanger, and after configuring interchanger, its configuration file is downloaded as switch network configuration
Template.
Step 2: dilatation unit, batch brush machine, can quickly, high-volume be added OpenStack calculate node.Firstly, determining
The host number of units and network segment for wanting dilatation determine management IP and host name according to every host unique identifier；Then, step is utilized
Calculate node mirror image template and mirror image the reduction software made in 1 will be set as the object of network startup by mirror image dedicated network
Reason host batch is reduced into the calculate node operating system of different management IP and host name.
Step 3: the adaptive modification process of calculate node configuration, though the different calculate nodes management IP and host name that are reduced
It is so different, but the nova-compute run in operating system calculates the meter such as service and OpenVSwitch virtual network service
It can not be modified when calculating the configuration file reduction of related service, it is all the same, it be easy to cause conflict.Therefore, in the calculating section being reduced
It is adaptive to modify the corresponding self-starting of program after point os starting, related service configuration file will be calculated automatically modifies,
It is consistent with basic configuration informations such as the management IP of calculate node, host name, to guarantee each calculate node being reduced
The service of operating system does not conflict, and can be uniquely identified.
Step 4: load switch network configuration template cuts network configuration, the switch network made in step 1 is matched
The interchanger that template is uploaded to respectively on the calculate node cabinet being reduced is set, these interchangers load the interchanger of upload respectively
Network configuration template, thus, these interchangers ensure that the network connectivty for the calculate node being reduced, the calculating section being reduced
Point becomes a full member of OpenStack computing resource.
Step 5: after the calculating related service in the calculate node operating system being reduced operates normally, service monitor
The monitoring data of acquisition is sent to monitoring service end and collected, passes through monitoring by self-starting, and the state and performance monitoring serviced
The page can directly observe the operating condition of service.
Step 6: integral unit, including the adjustment of virtual machine rebalancing, tenant's resource quota, resource use monitoring.Before dilatation
Calculate node on high load run a large amount of virtual machines,, will according to balanced algorithm and without virtual machine in the calculate node of new dilatation
It loads the virtual machine part in high calculate node to migrate to the calculate node of new dilatation, to ensure the balance of computing resource
Property.
Step 7: the adjustment of tenant's resource quota, is its computing resource accounting to be arranged, then according to the business demand of each tenant
The quota of each tenant is adjusted according to the following formula.
Ti=N*Pi
Wherein, Ti indicates the computing resource quota of i-th of tenant, and N indicates the computing resource total value of entire cloud platform, Pi table
Show the computing resource accounting of i-th of tenant.
Step 8: resource is to use feelings in detail to the computing resource of total computing resource service condition and each tenant using monitoring
Condition is monitored in real time, and the data of acquisition are issued the processing of monitoring service end.
2, specific capacity reducing process the following steps are included:
Step 1: calculate node quickly, in high volume can be removed OpenStack cloud platform by capacity reducing unit.It determines to be removed
Calculate node, the virtual machine in these calculate nodes is migrated or is discharged.
Step 2: remove the corresponding switch network configuration template of these calculate nodes (i.e. switch port with confidence
Breath), these calculate nodes are just disconnected with OpenStack cloud platform and connect, and the heartbeat mechanism in OpenStack cloud platform can be sent out
These existing calculate nodes are down state.
Step 3: automatic clear program starting removes calculate node information and service, i.e., by the base of unavailable calculate node
This information and calculating related service are removed from OpenStack cloud platform, and so far, these calculate nodes are removed OpenStack
Computing resource.
Step 4: service verification is to be tested by service monitoring and log the state and performance that calculate related service
Card, to guarantee the stability of OpenStack cloud platform.
Finally, dilatation need to only repeat dilatation unit and integral unit step to OpenStack computing resource again, capacity reducing again
Capacity reducing unit step need to only be repeated.
Claims (10)
1. a kind of computing resource cubic elasticity telescopic method based on OpenStack, including dilatation and capacity reducing；
1) dilatation:
1-1) make calculate node mirror image template and switch network configuration template；
It 1-2) determines the host number of units and network segment for wanting dilatation, and determines the management IP and host name of host, according to calculate node mirror
As template by these host batches be reduced into it is different management IP and host name calculate node operating systems, and automatically modification configuration
File；
1-3) switch network configuration template is uploaded on the interchanger for the calculate node being reduced and is loaded, so that this
A little calculate node network-in-dialings, to be added to OpenStack computing resource；
2) capacity reducing:
It 2-1) determines calculate node to be removed, the virtual machine in these calculate nodes is migrated or discharged, it is right to remove its
Answer the configuration information of switch port；
2-2) by the essential information through step 2-1) treated calculate node and related service is calculated from OpenStack cloud platform
Middle removing.
2. the method according to claim 1, wherein calculate node mirror image template is to operate a calculate node to be
System image file made of mirror image Software for producing, the calculate node operating system are to deploy to calculate related service, cloud disk
Service, virtual switch service and the clean operating system without virtual machine operation.
3. the method according to claim 1, wherein switch network configuration template is configuration calculate node connection
The configuration file that generates of interchanger, the interchanger is shared for two kinds of networks of public network and private network of calculate node.
4. the method according to claim 1, wherein step 1-2) in determined according to every host unique identifier
The management IP and host name of host.
5. the method according to claim 1, wherein step 1-2) it is middle special by mirror image using mirror image reduction software
Batch reduction is carried out with network, the host is set as network startup.
6. the method according to claim 1, wherein step 1-3) after, the calculate node being reduced operates
After system operates normally its calculating related service, service monitor self-starting, and service state and performance monitoring are carried out, it will adopt
The monitoring data of collection is sent to monitoring service end and is collected, and passes through the operating condition of monitoring page display service.
7. the method according to claim 1, wherein step 1-3) after, the calculate node being reduced is grasped
It is integrated as system, including the adjustment of virtual machine rebalancing, tenant's resource quota, resource use monitoring；
Virtual machine rebalancing refers to, is migrated the virtual machine part loaded in high calculate node to new dilatation according to balanced algorithm
Calculate node on, to ensure the balance of computing resource；
The adjustment of tenant's resource quota refers to, its computing resource accounting is arranged according to each tenant's demand, further according to formula Ti=N*Pi
Adjust the quota of each tenant, wherein Ti indicates the computing resource quota of i-th of tenant, and N indicates entire OpenStack cloud platform
Computing resource total value, Pi indicate i-th of tenant computing resource accounting；
Resource is referred to using monitoring, is monitored in real time to the service condition of the computing resource of total computing resource and each tenant, will
The data of acquisition are issued monitoring server and are handled.
8. the method according to claim 1, wherein the unavailable shape by the step 2-1) calculate node handled
State passes through the heartbeat mechanism discovery in OpenStack cloud platform.
9. the method according to claim 1, wherein step 2-2) after carry out service verification, which tests
Card is to be verified by service monitoring and log to the state and performance that calculate related service.
10. a kind of computing resource cubic elasticity telescopic system based on OpenStack, comprising:
One initial cell makes calculate node mirror image template and switch network configuration template；
One dilatation unit restores to obtain the calculate node operation system of different management IP and host name according to calculate node mirror image template
System, and load on switch network configuration template to the interchanger of the calculate node of reduction, so that these calculate nodes are added to
OpenStack computing resource, and carry out service state and performance monitoring and data acquisition；
One integral unit carries out virtual machine rebalancing, the adjustment of tenant's resource quota, money to the calculate node operating system being reduced
Source uses monitoring；
Virtual machine in calculate node to be removed is migrated or is discharged by one capacity reducing unit, is removed it and is corresponded to exchange generator terminal
The configuration information of mouth, and its essential information and calculating related service are removed from OpenStack cloud platform, the service of progress is tested
Card.
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