CN107203413A - A kind of resource data dispatches system and method - Google Patents
A kind of resource data dispatches system and method Download PDFInfo
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- CN107203413A CN107203413A CN201710389706.5A CN201710389706A CN107203413A CN 107203413 A CN107203413 A CN 107203413A CN 201710389706 A CN201710389706 A CN 201710389706A CN 107203413 A CN107203413 A CN 107203413A
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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]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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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
-
- 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]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
- G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
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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]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
-
- 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
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Abstract
System and method is dispatched the present invention relates to a kind of resource data, its method includes：The data-interface carried out data transmission with resource platform is set up, a plurality of monitoring data is obtained from the explorer of the resource platform by data-interface, monitoring data includes resource utilization；The average value of computing resource utilization rate in preset time period；Average value is compared with default resource threshold, if average value is more than or equal to resource threshold, then whether each hardware resource and software resource can use in detection resource platform, if available, host migration scheduling is then performed to the resource platform and service application extension is performed, alarm prompt is otherwise sent.The present invention can trigger scheduling of resource and management automatically according to resource utilization situation, perform host migration scheduling and perform service application extension, the efficient stable operation of service application in the more efficient quick elastic telescopic for solving service application, more rational distribution resource, Support Resource platform.
Description
Technical field
The present invention relates to resource allocation technical field, and in particular to a kind of resource data dispatches system and method.
Background technology
With the arrival of the development of cloud computing technology, cloud and big data epoch, increasing enterprise is attempting high use
Family amount, system High Availabitity simultaneously reduce the various advanced technologies of cost, and in each advanced technology, what is maintained the leading position is cloud naturally
Calculate and virtualization technology.But it is relative to compare the pc servers under former small machine pattern, cloud framework, virtual machine equistability
Less better, bearer service ability is weaker, and is easier to be out of order, it is easier to reaches and applies bottleneck.
The content of the invention
The technical problems to be solved by the invention are to dispatch system there is provided a kind of resource data in view of the shortcomings of the prior art
And method.
The technical scheme that the present invention solves above-mentioned technical problem is as follows：A kind of resource data dispatches system, including：
Acquisition module, for setting up the data-interface carried out data transmission with resource platform, by the data-interface from
A plurality of monitoring data is obtained in the explorer of the resource platform, a plurality of monitoring data includes resource utilization；
Computing module, the average value for calculating the resource utilization in preset time period；
Trigger module, for the average value to be compared with default resource threshold, if average value is more than or waited
Execution signal is then sent to dispatching performing module in the resource threshold；
Performing module is dispatched, for each hardware resource and software money in the resource platform according to the execution signal detection
Whether source can use, if it is available, then performing host migration scheduling to the resource platform and performing service application extension, otherwise send out
Go out alarm prompt.
The beneficial effects of the invention are as follows：Scheduling of resource and management can be triggered automatically according to resource utilization situation, performed
Host migration is dispatched and performed service application and extends, the more efficient quick elastic telescopic for solving service application, more reasonably
Distribute the efficient stable operation of service application in resource, Support Resource platform.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, the hardware resource includes main frame, and the software resource includes virtual machine and service application.
Beneficial effect using above-mentioned further scheme is：The hardware and software resource in resource platform is carried out before scheduling
Availability is detected, makes scheduling accuracy higher.
Further, the scheduling performing module includes：
Whether detection unit, main frame, virtual machine and service application for detecting in each resource apparatus can use, if can
With, then the first scheduling signals to the first scheduling execution units are sent, and the second scheduling signals of transmission to the second scheduling performs list
Member；Otherwise alarm prompt is sent；
First scheduling execution units, for being migrated virtual-machine data to specified according to first scheduling signals
In node；When migrating unsuccessful, then alarm prompt is sent；
Second scheduling execution units, for according to second scheduling signals to void current in the resource platform
Plan machine distributed node carries out service application extension.
Beneficial effect using above-mentioned further scheme is：Resource service condition for host carries out virtual-machine data
Migration scheduling, can ensure CPU usage, memory usage, storage surplus of host etc. using more reasonable；For business
Using the high occupancy situation of caused resource, service application is extended, to reduce the consumption of resource.
Further, in second scheduling execution units, at the end of service application extends, it is distributed to current virtual machine
Formula node sends log-on message, starts so as to the service application of the extension.
Beneficial effect using above-mentioned further scheme is：Ensure that the service application after extension can be in resource platform just
Often use.
Further, the resource utilization includes CPU usage and memory usage.
It is as follows that the present invention solves another technical scheme of above-mentioned technical problem：A kind of resource data dispatching method, including it is as follows
Step：
Step S1：The data-interface carried out data transmission with resource platform is set up, by the data-interface from the money
A plurality of monitoring data is obtained in the explorer of source platform, the monitoring data includes resource utilization；
Step S2：The average value of the resource utilization is calculated in preset time period；
Step S3：The average value is compared with default resource threshold, if average value is more than or equal to described
Resource threshold then performs step S4；
Step S4：Detect whether each hardware resource and software resource can use in the resource platform, if it is available, then to institute
State resource platform to perform host migration scheduling and perform service application extension, otherwise send alarm prompt.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, the hardware resource includes main frame, and the software resource includes virtual machine and service application.
Further, the step S4 is specifically included：
Step S401:Detect whether the main frame in each resource apparatus, virtual machine and service application can use, if it is available, then
Perform step S402 and step S403；Otherwise step S404 is performed；
Step S402:Virtual-machine data is migrated into specified node；When migrating unsuccessful, then step is performed
S404；
Step S403:Service application extension is carried out to virtual machine distributed node current in the resource platform；
Step S404:Send alarm prompt.
Further, the S403 also includes, at the end of service application extends, and is sent out to current virtual machine distributed node
Log-on message is sent, is started so as to the service application of the extension.
Further, the resource utilization includes CPU usage and memory usage.
Brief description of the drawings
Fig. 1 is the module frame chart that resource data provided in an embodiment of the present invention dispatches system；
Fig. 2 is the module frame chart provided in an embodiment of the present invention for dispatching performing module；
Fig. 3 is the flow chart of resource data dispatching method provided in an embodiment of the present invention；
Fig. 4 is the flow chart that Data Migration provided in an embodiment of the present invention and service application extend.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
The cloud computing era developed rapidly in technology, increasing cloud technology finds application and put into practice.Cloudization and point
The framework of cloth gives the innovation and change that traditional software systems are brought, and sums up the shortcoming of conventional art：
1. isolated resource management, single monitoring alarm, operation maintenance personnel is passively received and handled.
2. the abnormal resource of resource service condition is handled, implement troubleshooting and solution, a certain section of such as service application
Point breaks down, it is difficult to quickly find which nodes break down and quickly handle to ensure that service application is not interrupted；
3. newly-increased application node, adjusts node, the load of resource is reduced, the performance of service application is improved.Service deployment grain
Small, the load balancing that service application is typically all applied comprising front page layout, Batch Processing processing module, multi-node service is spent,
Logic complexity is cumbersome；
4. respectively independent mutually between application bearing resource, basic resource multiplexing, shared isotype is difficult to substantially.
There is resource contention situation between the multi-service application of enterprise, the resource elasticity allotment difficulty of applied business is difficult big, and resource is used
It is extremely unreasonable；
Current service application is under existing business model, it is difficult to which the elastic telescopic and dynamic of optimized integration resource are adjusted
Match somebody with somebody.We increase service application safety and high availability to improve the service efficiency of basic resource, and to mitigate operation maintenance personnel
Workload for the purpose of, the optimization of depth has been carried out to current cloud business O＆M pattern：
(1) basic resource of all clouds is carried out by isomery integration by the system of current main-stream, all includes systematization
Management, by service condition of the system to resource, understanding and pipe that service application accomplishes to become more meticulous to occupancy situation of resource etc.
Reason；
(2) fine-grained management is carried out to each service application by system, including application type, using path, application process,
Application port, using start and stop pattern and method, deployed environment, topological structure etc.；
(3) each service application and basic resource are comprehensively monitored by system, such as service condition, portfolio, please
Ask visit capacity, daily record etc.；Basic resource such as main frame, the cpu of empty machine, internal memory, disk, file system, system load, network condition
Etc.；
(4) under cloud and distributed structure/architecture, underlying resource is shielded completely, is protected by rational elastic telescopic mechanism and method
Hinder High Availabitity and the flexibility of application.
To solve the above problems, present invention is mainly used for by systematized management, by basic resource, application resource realizes nothing
The series connection of seam, then it is aided with the monitoring technology of generalization, by setting timed task, monitor threshold values, then match rational algorithm
The flexible scheduling of row automation, ensures the High Availabitity of application, realizes the dynamic expansion of resource and rationally multiplexing.
Fig. 1 is the module frame chart that resource data provided in an embodiment of the present invention dispatches system；
As shown in figure 1, a kind of resource data scheduling system, including：
Acquisition module, for setting up the data-interface carried out data transmission with resource platform, by the data-interface from
A plurality of monitoring data is obtained in the explorer of the resource platform, a plurality of monitoring data includes resource utilization；
Specifically, data-interface defers to Openstack interface standards, it is easy to integrating to increase income new technology；
OpenStack interface standards provide two kinds of modes called in itself：
1、Command Line：Such as various orders such as nova create, nova start.
2、Restful Webservice：For calling between OpenStack each component, external call also is available for；
The system also includes computing module, the average value for calculating the resource utilization in preset time period；
Trigger module, for the average value to be compared with default resource threshold, if average value is more than or waited
Execution signal is then sent to dispatching performing module in the resource threshold；Average value can represent the resource of resource proximal segment time
Service condition, busy state or idle state；
Performing module is dispatched, for each hardware resource and software money in the resource platform according to the execution signal detection
Whether source can use, if it is available, then performing host migration scheduling to the resource platform and performing service application extension, otherwise send out
Go out alarm prompt.
In above-described embodiment, scheduling of resource and management can be triggered automatically according to resource utilization situation, main frame is performed and move
Transposition degree and execution service application extension, the more efficient quick elastic telescopic for solving service application, more rational distribution money
The efficient stable operation of service application in source, Support Resource platform.
Alternatively, as one embodiment of the present of invention, the hardware resource includes main frame, and the software resource includes void
Plan machine and service application.
In above-described embodiment, availability detection is carried out to the hardware and software in resource platform before scheduling, makes scheduling accurate
Property is higher.
Fig. 2 is the module frame chart provided in an embodiment of the present invention for dispatching performing module；
Alternatively, as one embodiment of the present of invention, as shown in Fig. 2 the scheduling performing module includes：
Whether detection unit, main frame, virtual machine and service application for detecting in each resource apparatus can use, if can
With, then the first scheduling signals to the first scheduling execution units are sent, and the second scheduling signals of transmission to the second scheduling performs list
Member；Otherwise alarm prompt is sent；
First scheduling execution units, for being migrated virtual-machine data to specified according to first scheduling signals
In node；When migrating unsuccessful, then alarm prompt is sent；
Second scheduling execution units, for according to second scheduling signals to void current in the resource platform
Plan machine distributed node carries out service application extension.Specifically, when performing virtual-machine data migration and service application extension, leading to
Cross and call virtualization api interface to realize the flexible of resource.
In above-described embodiment, the resource service condition for host carries out virtual-machine data migration scheduling, can ensure
CPU usage, memory usage, storage surplus of host etc. are using more reasonable；It is high for resource caused by service application
Occupancy situation, is extended to service application, to reduce the consumption of resource.
Alternatively, as one embodiment of the present of invention, in second scheduling execution units, tied when service application extends
Shu Shi, log-on message is sent to current virtual machine distributed node, is started so as to the service application of the extension.
In above-described embodiment, ensure that the service application after extension can normally be used in resource platform.
Alternatively, as one embodiment of the present of invention, the resource utilization includes CPU usage and internal memory is used
Rate.Specifically, when judging the average value of resource utilization, the average value and resource threshold of CPU usage and memory usage
When being compared, the algorithm pattern for taking two conditions arbitrarily to meet one, system will be triggered automatically when meeting threshold values condition
Perform scheduling of resource, i.e. elastic telescopic scheduler task.
Fig. 3 is the flow chart of resource data dispatching method provided in an embodiment of the present invention
As shown in figure 3, a kind of resource data dispatching method, comprises the following steps：
Step S1：The data-interface carried out data transmission with resource platform is set up, by the data-interface from the money
A plurality of monitoring data is obtained in the explorer of source platform, a plurality of monitoring data includes resource utilization；
Step S2：The average value of the resource utilization is calculated in preset time period；
Step S3：The average value is compared with default resource threshold, if average value is more than or equal to described
Resource threshold then performs step S4；
Step S4：Detect whether each hardware resource and software resource can use in the resource platform, if it is available, then to institute
State resource platform to perform host migration scheduling and perform service application extension, otherwise send alarm prompt.
Alternatively, as one embodiment of the present of invention, the hardware resource includes main frame, and the software resource includes void
Plan machine and service application.
Fig. 4 is the flow chart that Data Migration provided in an embodiment of the present invention and service application extend；
Alternatively, as one embodiment of the present of invention, as shown in figure 4, the step S4 is specifically included：
Step S401:Detect whether the main frame in each resource apparatus, virtual machine and service application can use, if it is available, then
Perform step S402 and step S403；Otherwise step S404 is performed；
Step S402:Virtual-machine data is migrated into specified node；When migrating unsuccessful, then step is performed
S404；
Step S403:Service application extension is carried out to virtual machine distributed node current in the resource platform；
Step S404:Send alarm prompt.
Alternatively, as one embodiment of the present of invention, the S403 also includes, at the end of service application extends, to
Current virtual machine distributed node sends log-on message, starts so as to the service application of the extension.
Alternatively, as one embodiment of the present of invention, the resource utilization includes CPU usage and internal memory is used
Rate.Specifically, when judging the average value of resource utilization, the average value and resource threshold of CPU usage and memory usage
When being compared, the algorithm pattern for taking two conditions arbitrarily to meet one, system will be triggered automatically when meeting threshold values condition
Perform scheduling of resource, i.e. elastic telescopic scheduler task.
Specifically in the application management scene of cloud and distributed structure/architecture, the executable following step of elastic telescopic scheduler task
Suddenly：
S01. management system access-in management resource Pooled resources；
S02. standardize monitoring for resource deployment and alert；
S03. for specific resources configuration automatic dispatching strategy (binding resource, monitoring data, tactful Rule of judgment)；
S04. it is regular (when meeting schedulable condition, performing that telescopic method) for specific resources configuration automatic dispatching；
S05. management service api interface is called to realize flexible or application the resilient expansion of resource.
Automatic resource spring function is verified by multiple case；Automatic managerial elasticity dispatches, function larger with business association
Management and dispatching administrative template and trilogy management are provided, the first step needs to write high availability guarantee plan according to the stable operation of business
Slightly, according to the specific traffic failure monitoring monitoring collection index corresponding with process experience configuration and collection period；Second step：When
When meeting elastic telescopic schedulable condition, management system automatically creates elastic telescopic allotment task, and task can automated execution output
Correlation log and flexible report；3rd step：Accumulation automation elastic telescopic business solution simultaneously solidify, will from monitoring collection,
Strategy configuration, strategy triggering judges that the links such as scheduling of stretching solidification forms procedure system, and subsequently the new resource that adds only is needed again
Add the flow or system and just add High Availabitity safeguard automatically, be more concisely and efficiently the stabilization for realizing operation system
Operation.
For managerial elasticity scheduling, the automatic O＆M risk of system can be preferably minimized, and the automatic O＆M of persistent accumulation is known
Know, method guarantee is provided for the follow-up stable operation of service system；With the cloud cutting edge technology of current main-stream so that the technology
It is wider with face, more meet the developing direction of cloud；By cloud basic resource and service application realize it is seamless link up, lead to
The monitoring customized is crossed, freely allocating between resource and application is realized in flexible scheduling；It is completely real by the automation of system
The dynamic adaptation and elastic telescopic of existing resource, highly efficient, the operation of stable safeguards system.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.
Claims (10)
1. a kind of resource data dispatches system, it is characterised in that including：
Acquisition module, for setting up the data-interface carried out data transmission with resource platform, by the data-interface from described
A plurality of monitoring data is obtained in the explorer of resource platform, a plurality of monitoring data includes resource utilization；
Computing module, the average value for calculating the resource utilization in preset time period；
Trigger module, for the average value to be compared with default resource threshold, if average value is more than or equal to institute
State resource threshold and then send execution signal to dispatching performing module；
Performing module is dispatched, is for each hardware resource and software resource in the resource platform according to the execution signal detection
It is no available, if it is available, then performing host migration scheduling to the resource platform and performing service application extension, otherwise send announcement
Alert prompting.
2. a kind of resource data dispatches system according to claim 1, it is characterised in that the hardware resource includes main frame,
The software resource includes virtual machine and service application.
3. a kind of resource data dispatches system according to claim 2, it is characterised in that the scheduling performing module includes：
Whether detection unit, main frame, virtual machine and service application for detecting in each resource apparatus can use, if it is available, then
The first scheduling signals to the first scheduling execution units are sent, and send the second scheduling signals to the second scheduling execution units；It is no
Then send alarm prompt；
First scheduling execution units, for being migrated virtual-machine data to specified node according to first scheduling signals
In；When migrating unsuccessful, then alarm prompt is sent；
Second scheduling execution units, for according to second scheduling signals to virtual machine current in the resource platform
Distributed node carries out service application extension.
4. a kind of resource data dispatches system according to claim 3, it is characterised in that second scheduling execution units
In, at the end of service application extends, log-on message is sent to current virtual machine distributed node, so as to the industry of the extension
Business application starts.
5. system is dispatched according to a kind of any one of claim 1-4 resource datas, it is characterised in that the resource utilization
Including CPU usage and memory usage.
6. a kind of resource data dispatching method, it is characterised in that comprise the following steps：
Step S1：The data-interface carried out data transmission with resource platform is set up, it is flat from the resource by the data-interface
A plurality of monitoring data is obtained in the explorer of platform, a plurality of monitoring data includes resource utilization；
Step S2：The average value of the resource utilization is calculated in preset time period；
Step S3：The average value is compared with default resource threshold, if average value is more than or equal to the resource
Threshold value then performs step S4；
Step S4：Detect whether each hardware resource and software resource can use in the resource platform, if it is available, then to the money
Source platform performs host migration scheduling and performs service application extension, otherwise sends alarm prompt.
7. a kind of resource data dispatching method according to claim 6, it is characterised in that the hardware resource includes main frame,
The software resource includes virtual machine and service application.
8. a kind of resource data dispatching method according to claim 2, it is characterised in that the step S4 is specifically included：
Step S401:Detect whether the main frame in each resource apparatus, virtual machine and service application can use, if it is available, then performing
Step S402 and step S403；Otherwise step S404 is performed；
Step S402:Virtual-machine data is migrated into specified node；When migrating unsuccessful, then step S404 is performed；
Step S403:Service application extension is carried out to virtual machine distributed node current in the resource platform；
Step S404:Send alarm prompt.
9. a kind of resource data dispatching method according to claim 8, it is characterised in that the S403 also includes, and works as business
At the end of application extension, log-on message is sent to current virtual machine distributed node, so that the service application of the extension is opened
It is dynamic.
10. according to a kind of any one of claim 6-9 resource data dispatching methods, it is characterised in that the resource is used
Rate includes CPU usage and memory usage.
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