CN109002342A - A kind of computing resource orientation dispatching method and system based on OpenStack - Google Patents
A kind of computing resource orientation dispatching method and system based on OpenStack Download PDFInfo
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- CN109002342A CN109002342A CN201710420946.7A CN201710420946A CN109002342A CN 109002342 A CN109002342 A CN 109002342A CN 201710420946 A CN201710420946 A CN 201710420946A CN 109002342 A CN109002342 A CN 109002342A
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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
-
- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
-
- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1012—Server selection for load balancing based on compliance of requirements or conditions with available server resources
-
- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1029—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers using data related to the state of servers by a load balancer
-
- 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
- G06F2009/45587—Isolation or security of virtual machine instances
-
- 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 present invention provides a kind of computing resource orientation dispatching method based on OpenStack, and step includes: OpenStack computing resource 1) to be divided into multiple zonings according to the relevant parameter of virtual machine, and be identified；2) all calculate nodes are divided into specified zoning, and input database；3) user selects zoning by mark, and whole calculate node information of the zoning are read from database；4) the whole calculate nodes read for step 3), filter out incongruent calculate node, remaining calculate node are ranked up, dispatch the forward calculate node that sorts and generate virtual machine.The present invention also provides a kind of, and the computing resource based on OpenStack orients scheduling system.
Description
Technical field
The present invention relates to field of cloud computer technology, in particular to a kind of computing resource based on OpenStack orients scheduling
Method and system.
Background technique
In recent years, cloud computing technology had become most popular one of IT technology, caused industrial circle, academia and political affairs
The highest attention of mansion department.OpenStack is one of current most popular cloud computing technology, it can be by different physical resources
It is integrally formed huge resource pool, is externally provided and is calculated, stores, net source service.OpenStack itself utilizes available domain Zone
Physical resource is subjected to Classification Management, all control nodes are divided into same available domain Internal, by all calculate nodes
It is divided into same available domain Nova.Currently, OpenStack is first to filter each calculate node that its computing resource is added respectively
With weighting sequence processing, then it is scheduled.
However disadvantage is that: available domain Zone is (different by geographical (different computer rooms or different cabinets) or physics
Device configuration) resource is divided, granularity is larger, cannot be filtered during the filtration process according to the different business purposes of calculate node
Processing, can not orient and be dispatched to specified region；When computing resource is larger, requires a high expenditure of energy and adjusted with the time
Degree and operation and maintenance, cost are excessively high.
Summary of the invention
In order to overcome the deficiencies of the prior art, the present invention provides a kind of computing resource orientation dispatching party based on OpenStack
The computing resource of OpenStack can be divided into different zonings by method and system, and zoning range ratio Zone is smaller,
Nova available domain can be divided into multiple zonings, to meet different demands；User can select to calculate according to self-demand
Region, orientation scheduler module can improve dispatching efficiency by scheduling virtual machine to specified zoning；And it can be to not same district
The computing resource in domain distinguishes O&M, and save the cost is more efficient to utilize resource.
In order to solve the above technical problem, the present invention provides technical solution it is as follows:
A kind of computing resource orientation dispatching method based on OpenStack, step include:
1) OpenStack computing resource is divided by multiple zonings according to the relevant parameter of virtual machine, rower of going forward side by side
Know；
2) all calculate nodes (server) are divided into specified zoning, and input database；
3) user selects zoning by mark, and whole calculate nodes letter of the zoning is read from database
Breath；
4) the whole calculate nodes read for step 3), filter out incongruent calculate node, and remaining calculating is saved
Point is ranked up, and is dispatched the forward calculate node that sorts and is generated virtual machine.
Further, the relevant parameter of virtual machine includes the importance of virtual machine business, to the consumption journey of CPU and memory
Degree, the data volume and virtual machine security generated.
Further, the judge index of the importance of virtual machine business is: if the service disconnection on virtual machine can be to it
His system or business impact, then otherwise inessential to be important.
Further, all calculate nodes are first logged in the database table for orienting scheduling registration in step 2), then
Calculate node is divided into corresponding zoning according to the relevant parameter of virtual machine.
Further, in step 3) user according to the relevant parameter of virtual machine to the virtual machine to be applied plus label, lead to
It crosses label and finds the zoning containing corresponding mark.
Further, available resources are filtered out and are not met according to the CPU of calculate node, memory, disk parameter in step 4)
The calculate node that virtual machine requires, available resources refer to the available CPU of calculate node, memory, disk size.
Further, the weighting for carrying out available resources to remaining calculate node in step 4) is sorted, according to weight from big
To small sequence.
A kind of computing resource orientation scheduling system based on OpenStack, comprising:
Cloud computing platform based on OpenStack, it is multiple containing mark including that can be divided as needed to computing resource
Zoning, multiple calculate nodes for being divided into specified zoning, the number for storing calculate node and zoning relationship
According to the cloud computing of library and each calculate node of realization；
Scheduler module, the zoning mark of identification user's selection are oriented, and is realized by filtering, sequence to calculate node
Orientation scheduling.
Compared with prior art, the present invention has an advantage that
The computing resource of OpenStack can be divided into different zonings, zoning range ratio Zone is smaller, can
Nova available domain is divided into multiple zonings, to meet different demands；Extend OpenStack own schedule strategy, energy
Calculate node orientation is dispatched to specified zoning by enough relevant parameters according to virtual machine, and optimal calculate node is selected to be used for
Virtual machine is generated, supports the configuration of more fine-grained policy；Cluster is supported to distinguish physics zoning on demand, it is differential convenient for supporting
O&M reduces maintenance cost；Orientation scheduling reduces scheduling range, improves dispatching efficiency.
Detailed description of the invention
Fig. 1 is the schematic diagram that OpenStack computing resource is divided into different zonings.
Fig. 2 is that calculate node orients scheduling flow schematic diagram.
Fig. 3 is the schematic diagram that virtual machine selects zoning and calculate node.
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 computing resource based on OpenStack that the present embodiment provides a kind of orients dispatching method and system, the system are based on
The cloud computing platform of OpenStack, including the multiple zonings containing mark, multiple that can be divided as needed to computing resource
The calculate node of specified zoning, the database of storage calculate node and zoning relationship can be divided into and realized each
The cloud computing of calculate node；It further include orientation scheduler module, the zoning of identification user's selection identifies, and passes through filtering, row
Sequence is realized to orient calculate node and be dispatched.In conjunction with the system, the dispatching method is as shown in Figure 2, comprising the following steps:
Step 1: OpenStack computing resource T being divided into different zonings by the relevant parameter of virtual machine, is used in combination
T1, T2 are identified, as shown in Figure 1.The relevant parameter of the virtual machine includes the importance of virtual machine business, to CPU and memory
Consumption degree, generation data volume and virtual machine security, wherein the importance judge index of business is: if virtual
Service disconnection on machine can impact other systems or business, then otherwise inessential to be important.
Step 2: all calculate nodes are divided into specified zoning, and input database.Such as by calculate node
C1, C2, C3 are divided into zoning T1, and calculate node C4, C5, C6 are divided into zoning T2.
Specifically, OpenStack cloud is added as six calculate nodes C1, C2, C3, C4, C5, C6 in six servers to put down
Platform.Firstly, it is necessary to by database table of this six calculate node typings dedicated for orientation scheduling registration, if this six clothes
Business device has three latest services devices and three, and than older server, new demand servicing device performance is higher more stable, is suitble to storage important
Virtual machine (being judged according to the relevant parameter of virtual machine), and it is higher than older server failure probability, be suitble to storage non-
Important virtual machine does not also influence even if breaking down.If zoning T1 is calculated for storing important virtual machine
Region T2 is for storing insignificant virtual machine, then three new demand servicing devices are just divided into zoning T1 (such as C1, C2, C3), three
Platform is just divided into zoning T2 (such as C4, C5, C6) than older server, in the table of database of record.
Step 3: selecting zoning according to demand when user's application virtual machine, such as can be according to the important journey of virtual machine
Degree, selects zoning T1 for important virtual machine, and unessential virtual machine is selected zoning T2.Because virtual machine is to use
Family application, user can be according to the relevant parameter of virtual machine, such as business importance, resource (CPU, memory) Expenditure Levels, safety
Property etc. determines that virtual machine is suitble to which zoning be stored in.For example the virtual machine of user's application needs CPU to be configured to 4 cores,
Residue can be excluded with CPU core number less than the calculate node of 4 cores.
To further clarify this step technique content, it is illustrated by Fig. 3.According to relevant parameter (such as industry of virtual machine
Business importance) computing resource T is divided into important computations region S-T1, insignificant zoning F-T2 and interim zoning R-
Tri- zonings T3, wherein S, F, R are mark.User A, B, C are when applying for virtual machine (being indicated with vm), according to the need of oneself
Will (importance of such as business) which kind of virtual machine selected, if the user thinks that business is important, need to select important virtual machine, then
It, will be according to label only in important computations when scheduling to the virtual machine to be applied plus label S (such as S-vm1, S-vm4, S-vm7)
Region S-T1 carries out the selection of host, is reduced significantly scheduling range, while ensure that virtual machine scheduling on demand.Similarly, if
Select insignificant virtual machine or with jury virtual machine, flag F (such as F-vm2, F- are added on the virtual machine to be applied
Vm5, F-vm8) or R (such as R-vm3, R-vm6, R-vm9), when scheduling can dispatch corresponding zoning F-T2 according to flag F or R
Or the host of R-T3 generates required virtual machine.It is noted that when user applies for virtual machine, to the virtual machine to be applied
In addition label, actually belongs to a kind of orientation request for containing condition, such as the virtual machine of user's A application storage important service
When label S, the S-vm1 in Fig. 3 under user A belong to the orientation request of virtual machine, be not the virtual machine applied, should
Orientation request can be directed to (Far Left arrow in figure) zoning S-T1, further find calculate node C1, just give birth in C1
At virtual machine S-vm1.
Step 4: the whole calculate nodes read to above-mentioned steps are filtered, according to the CPU, memory, magnetic of calculate node
Disk parameter filters out the calculate node for not meeting virtual machine available resources (i.e. available CPU, memory, disk size) requirement；
The weighting sequence that the remaining calculate node met is carried out to available resources, successively sorts from big to small according to weight, dispatches out
Forward calculate node sort to generate virtual machine.
When being scheduled, Background scheduling orients scheduler module, and the effect of the orientation scheduler module is identification user's selection
Zoning mark.Such as identify that user selects zoning T1, scheduling range be just limited to calculate node C1 in T1,
C2,C3；Then, it from the whole calculate node information read in database in the T1 of zoning, is filtered according to itself filter method
Fall incongruent calculate node, such as C3；It is weighted sort method, remaining calculate node C1, C2 is ranked up, the row of selecting
The forward calculate node of sequence, to just dispatch out most suitable calculate node in T1, as shown in Figure 2.This orientation dispatching method
Scheduling range is greatly reduced, dispatching efficiency is improved.
For verification technique effect, 80 servers are divided into multiple zonings as calculate node and are tested, surveyed
Examination data are as follows:
As seen from the above table, when 80 calculate nodes are without dividing, i.e. 1 zoning, that is, without using we
Method, dispatching elapsed time at this time is 824 milliseconds；When 80 calculate nodes are divided at least two zoning, this method is just risen
Effect, scheduling time shorten to 30 milliseconds, significant effect；It can also be seen that working as the more (spaces of zoning number from table
It is smaller) when, scheduling elapsed time is shorter, so this method can significantly improve dispatching efficiency.In addition, due to having divided multiple calculating
Region can carry out difference O&M for the calculate node of different zonings, can reduce O&M cost.
Claims (8)
1. a kind of computing resource based on OpenStack orients dispatching method, step includes:
1) OpenStack computing resource is divided by multiple zonings according to the relevant parameter of virtual machine, and be identified；
2) all calculate nodes are divided into specified zoning, and input database；
3) user selects zoning by mark, and whole calculate node information of the zoning are read from database；
4) for step 3) read whole calculate nodes, filter out incongruent calculate node, by remaining calculate node into
Row sequence, dispatches the forward calculate node that sorts and generates virtual machine.
2. the method according to claim 1, wherein the relevant parameter of virtual machine includes the important of virtual machine business
Property, to the consumption degree of CPU and memory, the data volume of generation and virtual machine security.
3. the method according to claim 1, wherein the judge index of the importance of virtual machine business is: if
Service disconnection on virtual machine can impact other systems or business, then otherwise inessential to be important.
4. the method according to claim 1, wherein all calculate nodes are first logged for orienting in step 2)
In the database table for dispatching registration, calculate node is divided into corresponding zoning further according to the relevant parameter of virtual machine.
5. the method according to claim 1, wherein user is wanted according to the relevant parameter of virtual machine in step 3)
The virtual machine of application finds the zoning containing corresponding mark plus label, by marking.
6. the method according to claim 1, wherein according to the CPU of calculate node, memory, disk in step 4)
Parameter filters out the calculate node that available resources do not meet virtual machine requirement, and available resources refer to the available CPU of calculate node, interior
It deposits, disk size.
7. according to the method described in claim 6, it is characterized in that, carrying out available resources to remaining calculate node in step 4)
Weighting sequence, sorted from large to small according to weight.
8. a kind of computing resource based on OpenStack orients scheduling system, comprising:
Cloud computing platform based on OpenStack, including the multiple calculating containing mark that can be divided as needed to computing resource
Region, multiple calculate nodes for being divided into specified zoning, the database for storing calculate node and zoning relationship
And realize the cloud computing of each calculate node；
Scheduler module, the zoning mark of identification user's selection are oriented, and is realized by filtering, sequence and calculate node is oriented
Scheduling.
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| CN201710420946.7A CN109002342B (en) | 2017-06-07 | 2017-06-07 | OpenStack-based method and system for directionally scheduling computing resources |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110380894A (en) * | 2019-06-27 | 2019-10-25 | 苏州浪潮智能科技有限公司 | The management method and device of cloud platform medium cloud host |
| CN111966494A (en) * | 2020-08-18 | 2020-11-20 | 江苏安超云软件有限公司 | Resource scheduling method and device, storage medium and electronic equipment |
| CN112465359A (en) * | 2020-12-01 | 2021-03-09 | 中国联合网络通信集团有限公司 | Calculation power calling method and device |
| CN116405391A (en) * | 2023-04-10 | 2023-07-07 | 长扬科技(北京)股份有限公司 | OpenStack-based virtual machine node screening method, system and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130042123A1 (en) * | 2009-04-17 | 2013-02-14 | Citrix Systems, Inc. | Methods and Systems for Evaluating Historical Metrics in Selecting a Physical Host for Execution of a Virtual Machine |
| US20130185436A1 (en) * | 2012-01-18 | 2013-07-18 | Erik V. Carlin | Optimizing Allocation Of On-Demand Resources Using Performance Zones |
| CN103248659A (en) * | 2012-02-13 | 2013-08-14 | 北京华胜天成科技股份有限公司 | Method and system for dispatching cloud computed resources |
| WO2014073949A1 (en) * | 2012-11-12 | 2014-05-15 | Mimos Berhad | A system and method for virtual machine reservation for delay sensitive service applications |
| CN104683408A (en) * | 2013-11-29 | 2015-06-03 | 中国科学院深圳先进技术研究院 | Method and system for OpenStack cloud computing management platform to build virtual machine instance |
| CN104717251A (en) * | 2013-12-12 | 2015-06-17 | 中国科学院深圳先进技术研究院 | Scheduling method and system for Cell nodes through OpenStack cloud computing management platform |
| CN105653372A (en) * | 2015-12-30 | 2016-06-08 | 中电科华云信息技术有限公司 | Cloud platform-based method for realizing multi-virtualization hybrid management and scheduling |
| US20170149880A1 (en) * | 2015-11-24 | 2017-05-25 | Vmware, Inc. | Methods and apparatus to deploy workload domains in virtual server racks |
-
2017
- 2017-06-07 CN CN201710420946.7A patent/CN109002342B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130042123A1 (en) * | 2009-04-17 | 2013-02-14 | Citrix Systems, Inc. | Methods and Systems for Evaluating Historical Metrics in Selecting a Physical Host for Execution of a Virtual Machine |
| US20130185436A1 (en) * | 2012-01-18 | 2013-07-18 | Erik V. Carlin | Optimizing Allocation Of On-Demand Resources Using Performance Zones |
| CN103248659A (en) * | 2012-02-13 | 2013-08-14 | 北京华胜天成科技股份有限公司 | Method and system for dispatching cloud computed resources |
| WO2014073949A1 (en) * | 2012-11-12 | 2014-05-15 | Mimos Berhad | A system and method for virtual machine reservation for delay sensitive service applications |
| CN104683408A (en) * | 2013-11-29 | 2015-06-03 | 中国科学院深圳先进技术研究院 | Method and system for OpenStack cloud computing management platform to build virtual machine instance |
| CN104717251A (en) * | 2013-12-12 | 2015-06-17 | 中国科学院深圳先进技术研究院 | Scheduling method and system for Cell nodes through OpenStack cloud computing management platform |
| US20170149880A1 (en) * | 2015-11-24 | 2017-05-25 | Vmware, Inc. | Methods and apparatus to deploy workload domains in virtual server racks |
| CN105653372A (en) * | 2015-12-30 | 2016-06-08 | 中电科华云信息技术有限公司 | Cloud platform-based method for realizing multi-virtualization hybrid management and scheduling |
Non-Patent Citations (2)
| Title |
|---|
| 刘炳宏: "基于OpenStack的资源服务信息监控系统的设计与实现", 《万方学位论文数据库》 * |
| 邓志龙等: "OpenStack环境下的资源动态调度研究", 《西北工业大学学报》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110380894A (en) * | 2019-06-27 | 2019-10-25 | 苏州浪潮智能科技有限公司 | The management method and device of cloud platform medium cloud host |
| CN111966494A (en) * | 2020-08-18 | 2020-11-20 | 江苏安超云软件有限公司 | Resource scheduling method and device, storage medium and electronic equipment |
| CN112465359A (en) * | 2020-12-01 | 2021-03-09 | 中国联合网络通信集团有限公司 | Calculation power calling method and device |
| CN112465359B (en) * | 2020-12-01 | 2024-03-15 | 中国联合网络通信集团有限公司 | Calculation force calling method and device |
| CN116405391A (en) * | 2023-04-10 | 2023-07-07 | 长扬科技(北京)股份有限公司 | OpenStack-based virtual machine node screening method, system and storage medium |
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| CN109002342B (en) | 2022-09-23 |
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