CN109104493A - A kind of cloud resource pool service Load-aware with from processing unit and method - Google Patents
A kind of cloud resource pool service Load-aware with from processing unit and method Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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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
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- G06F9/5061—Partitioning or combining of resources
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- 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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- 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
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
- H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/5011—Pool
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a kind of cloud resource pool service Load-aware with from processing method, to the operation system for doing local traffic management in cloud resource pond by load-balancing device, unusual fluctuation judgement is carried out to current business load using business time series data, determined according to unusual fluctuation as a result, carrying out recycling or dilatation to business host resource.Also disclose a kind of cloud resource pool service Load-aware with from processing unit, construct the Time-Series analysis model of business datum, load and resource utilization to online operation system carry out dynamic sensing, and it can effectively detect whether business unusual fluctuation is attack situation using service security module, then with the linkage of operation system in cloud resource, realize the automatic recycling to superfluous resource, and then it would sit idle for server and carry out offline operation, realize the energy-saving and emission-reduction of data center, scientific perception service load simultaneously, and self-decision is carried out in load abnormal, from processing, reach cost efficiency, the effect increased income and decreased expenditure.
Description
Technical field
The invention belongs to load-balancing technique fields, especially do traffic management by load-balancing device to cloud resource pond
Operation system carries out business load perception and the device and method from processing.
Background technique
In recent years, with the development of the emerging technologies such as cloud computing, cloud storage, Internet of Things, the regulatory requirement in cloud resource pond by
Step highlights, it would be highly desirable to the operation system resource of deployment in the cloud resource pool be carried out unified management, distribution according to need, promote resource
The flexibility and timeliness of distribution, improve the utilization rate of resource.But operation system is in resource bid during unified management
Dynamic is accurate to be accomplished to the measuring and calculating of business load, in order to guarantee that operation system can have enough resources to bear peak load,
Often apply being higher than actual demand when resource, so that resource redundancy be caused to spend height, high vacancy rate occurs.
The reasonability of resource allocation is always the problem of cloud resource management work, especially in the private represented with business Yun Wei
Have especially prominent in cloud platform, such as how virtual machine is thread, according to the load situation of change of virtual machine, is carried out on demand empty
The increase and decrease of quasi- machine quantity, achievees the purpose that loaded self-adaptive.However to reach this purpose, mainly there is following problem:
1. the existing method of salary distribution be easy to cause virtual machine distribution dispersion, physical machine resource occupation is excessive and the wasting of resources is tight
Weight；
2. inherent mapping relations are different between resources of virtual machine utilization rate and miscellaneous business, existing general technology hand
Section is difficult to realize dynamic sensing.
3. the fluctuation performance of different business resource consumption is different, unusual fluctuation producing cause multiplicity needs correctly to identify virus attack
Or situations such as business load surge, could correctly distribute resource.
4. the increment demand of resources of virtual machine hang-up, load time point and business is closely related, and directly affects final
Service response and effects of energy saving and emission reduction.
Summary of the invention
For defect existing for above-mentioned prior art and problem, the present invention proposes a kind of cloud resource pool service load sense
Know with from processing unit and method, realizes the energy-saving and emission-reduction of data center, improve the utilization rate of resource.
In order to achieve the above objectives, the technical solution adopted by the present invention are as follows: a kind of cloud resource pool service Load-aware and Zi Chu
Manage device, the main Time-Series analysis model that business datum is constructed by machine learning techniques, to the online operation system in cloud resource pond
Load and resource utilization carry out dynamic sensing, and can utilize service security module effectively detect whether business unusual fluctuation is to attack
Situation is hit, realizes the automatic recycling to business surplus resource in cloud resource pond, and then would sit idle for server and carry out offline operation, it is real
The energy-saving and emission-reduction of existing data center, while scientific perception service loads, and carries out self-decision in load abnormal, handles certainly, reaches
To cost efficiency, the effect increased income and decreased expenditure.
The present invention provides a kind of cloud resource pool service Load-aware with from processing method, and the process of this method is as described below:
Unusual fluctuation judgement is carried out to current business load using business time series data, is determined according to unusual fluctuation as a result, being carried out to host resource
Recycling or dilatation.Specifically comprise the following steps:
S1 acquires the historical data of each business, generates business time series data；
S2-1 analyzes business time series data, extracts time series data feature；
S2-2 determines that business time series data is periodical according to business time series data feature, establishes business temporal model；
S3-1 detects cloud resource according to the access dynamic threshold section of the S2-2 business temporal model building business generated
Whether the actual value of business load is located at the dynamic threshold section in pond, if so, be normal, if it is not, then to be abnormal, to working as
Preceding business load carries out unusual fluctuation judgement, i.e. whether judgement current business fluctuation is normal；
S4, the unusual fluctuation for S3-1 determine that guarantee business is efficient as a result, carrying out dilatation and capacity reducing according to business access situation
While access, energy-saving and emission-reduction to the full extent.
Further, further include S3-2, after the unusual fluctuation judging result of S3-1 and/or the attack judging result of S4, execute
S2-2 step, continuous training S2-2 business temporal model, guarantees the precision of model.
Further, step S4 further comprises that the unusual fluctuation for S3-1 determines as a result, attacking to current unusual fluctuation business
Detection is hit, determines whether current unusual fluctuation is attack, if it is determined that result is attack, is enabled by the security protection plan of attack traffic
Slightly carry out security protection, Safeguard tactics such as: according to attack type call Web application protection or abnormal flow protect；Specifically
Are as follows: when finding some business load exception, if it is determined that result is attack, the Safeguard tactics of the business are activated, it is right
This abnormal traffic carries out safety detection and fence operation deactivates the Safeguard tactics of the business after abnormal access,
It saves security protection and detects bring performance cost.If it is determined that result is not attack, then belong to regular traffic access fluctuation,
Dilatation and capacity reducing are carried out according to business access situation.
Further, step S4 further comprises that the unusual fluctuation for S3-1 determines as a result, attacking to current unusual fluctuation business
Hit detection, determine whether current unusual fluctuation is attack, if it is determined that result be not attack and business be supported on setting when
The interior dynamic threshold for being persistently higher than temporal model setting, then belong to the normal growth of business load, provides to the host of this business
Source carries out dilatation.
Further, step S4 further comprises that the unusual fluctuation for S3-1 determines as a result, attacking to current unusual fluctuation business
Hit detection, determine whether current unusual fluctuation is attack, if it is determined that result be not attack and business be supported on setting when
In be consistently less than temporal model setting dynamic threshold and the universal performance cost of business host lower than setting value when, to this business
Part host resource recycled, first can according to the take-back strategy of business association adjust business load balancing mode, newly
It builds request and is no longer sent to business host to be recycled, set when the connection number on business host to be recycled is gradually aged to take-back strategy
It is when the threshold value set, business host to be recycled is offline.
The present invention also provides a kind of cloud resource pool service Load-awares with from processing unit, which includes service-aware mould
Block and the flexible module of business resiliency；
1. service-aware module: by the acquisition and analysis to business historical data, the temporal model of each business is established, then
The difference of comparison business real time load and business temporal model determines whether business load is normal at this time.Such as find real time load
Situation is more than or lower than the dynamic threshold that business temporal model is arranged, and service-aware module will issue unusual fluctuation perception information to industry
Elastic telescopic module of being engaged in and service security protection module.
The module 2. business resiliency stretches, for being recycled and being increased to service resources.When the load continuous of discovery business
When the dynamic threshold and the lower universal performance cost of business host that are arranged lower than temporal model, business resiliency stretches module can be automatic
The part host resource of this business is recycled, the load according to the host resource take-back strategy adjustment business of business setting is equal
Weighing apparatus mode, newly-built request is no longer sent to business host to be recycled, when the connection number on business host to be recycled is gradually aged to
It is when the threshold value of take-back strategy setting, business host to be recycled is offline.When the load continuous of discovery business is set higher than temporal model
When can not be by load reduction in the dynamic threshold set and function of safety protection certain time (short time, system are settable), business
Load-aware can carry out dilatation by the host resource to this business automatically with from processing platform.
Above-mentioned cloud resource pool service Load-aware with further include service security protection module from processing unit, service security is anti-
Module is protected, for carrying out safety detection and fence operation to this abnormal traffic when finding some business load exception.Work as exception
After access, the Safeguard tactics that safety protection module can deactivate this abnormal traffic on load-balancing device automatically are (negative
Carry on equalizing equipment for the Safeguard tactics of specific business setting), safety protection module is reduced to load-balancing device
The influence of energy.
The invention has the following advantages: being filled the invention proposes a kind of cloud resource pool service Load-aware and from processing
Set and method, compared to the prior art scheme, the present invention it is innovative construct business temporal model using machine learning techniques, into
Row service resources use dynamic sensing；And attack detecting is carried out using service security protection module on this basis, effectively block
Network attack causes resource loss, and regular traffic fluctuation then passes through the flexible module reasonable distribution of business resiliency or Resource recovery,
It is voluntarily handled while reaching business load Intellisense, has not only ensured service response speed, while avoiding system resource
Waste, really plays energy-saving and emission-reduction purpose.
Detailed description of the invention
Fig. 1 is a kind of cloud resource pool service Load-aware of the embodiment of the present invention and from processing unit schematic diagram.
Fig. 2 is a kind of cloud resource pool service Load-aware of the embodiment of the present invention and from processing method flow diagram.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and portion
The specific embodiment of branch scape, is described further technical solution of the present invention.
Embodiment: a kind of cloud resource pool service Load-aware mainly passes through machine learning techniques building with from processing unit
The Time-Series analysis model of business datum, load and resource utilization to the online operation system in cloud resource pond carry out dynamic sense
Know, and can effectively detect whether business unusual fluctuation is attack situation using service security module, realizes to business mistake in cloud resource pond
The automatic recycling of surplus resource, and then would sit idle for server and carry out offline operation, realize the energy-saving and emission-reduction of data center, while science
Perception service load, and self-decision, certainly processing are carried out in load abnormal, achieve the effect that cost efficiency, increase income and decrease expenditure.
As shown in Figure 1, cloud resource pool service Load-aware includes 3 modules with from processing unit: business load perceives mould
The flexible module of block, service security protection module, business resiliency；Business load sensing module is to the online operation system in cloud resource pond
Load and resource utilization carry out dynamic sensing, different using service security protection module detection business in business load exception
Whether dynamic be attack situation, and the flexible module of business resiliency realizes the automatic telescopic to business host resource in cloud resource pond.
1. service-aware module: by the acquisition and analysis to business historical data, the temporal model of each business is established, then
The difference of comparison business real time load and business temporal model determines whether business load is normal at this time.Such as find real time load
Situation is more than or lower than the dynamic threshold that business temporal model is arranged, and service-aware module will issue unusual fluctuation perception information to industry
Elastic telescopic module of being engaged in and service security protection module.
2. service security protection module, service security protection module are used for when finding some business load exception, to this
Abnormal traffic carries out safety detection and fence operation.After abnormal access, safety protection module can deactivate live load automatically
The Safeguard tactics of this abnormal traffic are (for the security protection plan of specific business setting on load-balancing device on equalizing equipment
Slightly), influence of the safety protection module to load-balancing device performance is reduced.
The module 3. business resiliency stretches, for being recycled and being increased to service resources.When the load continuous of discovery business
When the dynamic threshold and the lower universal performance cost of business host that are arranged lower than temporal model, business resiliency stretches module can be automatic
The part host resource of this business is recycled, the load according to the host resource take-back strategy adjustment business of business setting is equal
Weighing apparatus mode, newly-built request is no longer sent to business host to be recycled, when the connection number on business host to be recycled is gradually aged to
It is when the threshold value of take-back strategy setting, business host to be recycled is offline.When the load continuous of discovery business is set higher than temporal model
When can not be by load reduction in the one shorter time of dynamic threshold and function of safety protection set, business load perceives and at
Platform can carry out dilatation by the host resource to this business automatically.
The device of the present embodiment using cloud resource pool service Load-aware with from processing method, the process of this method such as Fig. 2
It is shown:
Unusual fluctuation judgement is carried out to current business load using business time series data, is determined according to unusual fluctuation as a result, to host
Resource carries out recycling or dilatation.Specifically comprise the following steps:
S1 acquires the historical data of each business, generates business time series data；
S2-1 analyzes business time series data, extracts time series data feature；
S2-2 determines that business time series data is periodical according to business time series data feature, establishes business temporal model；
S3-1 detects cloud resource according to the access dynamic threshold section of the S2-2 business temporal model building business generated
Whether the actual value of business load is located at the dynamic threshold section in pond, if so, be normal, if it is not, then to be abnormal, to working as
Preceding business load carries out unusual fluctuation judgement, i.e. whether judgement current business fluctuation is normal；
S3-2, the unusual fluctuation for S3-1 determine as a result, judging that current unusual fluctuation is attack, continuous training S2-2 industry
Business temporal model, guarantees the precision of model.
S4, the unusual fluctuation for S3-1 determine that some business is negative in discovery as a result, carrying out attack detecting to current unusual fluctuation business
When carrying abnormal, determine whether current unusual fluctuation is attack, if it is determined that result is attack, activates the security protection plan of the business
Slightly, safety detection and fence operation carried out to this abnormal traffic, Safeguard tactics such as: Web application is called according to attack type
Protection or abnormal flow protection；After abnormal access, the Safeguard tactics of the business are deactivated, save security protection inspection
Survey bring performance cost.
If it is determined that result is not attack and being supported in the time of setting for business persistently sets higher than temporal model
The dynamic threshold set then belongs to the normal growth of business load, carries out dilatation to the host resource of this business；If it is determined that result is simultaneously
Non-attack behavior and business are supported on the dynamic threshold that temporal model setting is consistently less than in the time of setting and business master
When the universal performance cost of machine is lower than setting value, the part host resource of this business is recycled, it first can be according to business association
Take-back strategy adjustment business load balancing mode, newly-built request is no longer sent to business host to be recycled, when industry to be recycled
It is when connection number on business host is gradually aged to the threshold value of take-back strategy setting, business host to be recycled is offline.
Above embodiment is merely illustrative of the invention's technical idea, and this does not limit the scope of protection of the present invention, all
It is any changes made on the basis of the technical scheme according to the technical idea provided by the invention, each falls within present invention protection model
Within enclosing.
Claims (8)
1. a kind of cloud resource pool service Load-aware with from processing method, it is characterised in that:
Unusual fluctuation judgement is carried out to current business load using business time series data, is determined according to unusual fluctuation as a result, to host resource
Carry out recycling or dilatation.
2. cloud resource pool service Load-aware according to claim 1 with from processing method, which is characterized in that including following
Step:
S1 acquires the historical data of each business, generates business time series data；
S2-1 analyzes business time series data, extracts time series data feature；
S2-2 determines that business time series data is periodical according to business time series data feature, establishes business temporal model；
S3-1, according to S2-2 generate business temporal model building business dynamic threshold section, to current business load into
Row unusual fluctuation determines whether i.e. judgement current business fluctuation is normal；
S4, the unusual fluctuation for S3-1 determine as a result, carrying out dilatation and capacity reducing according to business access situation.
3. cloud resource pool service Load-aware according to claim 2 with from processing method, it is characterised in that:
Further include S3-2, after the unusual fluctuation judging result of S3-1 and/or the attack judging result of S4, executes S2-2 step, continue
Training S2-2 business temporal model, guarantees the precision of model.
4. cloud resource pool service Load-aware according to claim 2 with from processing method, it is characterised in that:
Step S4 further comprises that the unusual fluctuation for S3-1 determines to determine to work as a result, to current unusual fluctuation business progress attack detecting
Whether preceding unusual fluctuation is attack:
If it is determined that result is attack, enables and carry out security protection by the Safeguard tactics of attack traffic.
If it is determined that result is not attack, then belong to regular traffic access fluctuation, according to business access situation carry out dilatation and
Capacity reducing.
5. cloud resource pool service Load-aware according to claim 4 with from processing method, it is characterised in that:
When finding some business load exception, if it is determined that result is attack, the Safeguard tactics of the business are activated, it is right
This abnormal traffic carries out safety detection and fence operation deactivates the Safeguard tactics of the business after abnormal access.
6. cloud resource pool service Load-aware according to claim 1 or 4 with from processing method, it is characterised in that:
Dilatation is carried out to host resource and when capacity reducing, when being consistently less than temporal model in the time for being supported on setting of discovery business
When the dynamic threshold and the lower universal performance cost of business host of setting, the part host resource of this business is recycled: first
The load balancing mode of business can be first adjusted according to the take-back strategy of business association, newly-built request is no longer sent to business to be recycled
Host, when the connection number on business host to be recycled is gradually aged to the threshold value of take-back strategy setting, by business master to be recycled
Machine is offline；
When the dynamic threshold and security protection function for being persistently higher than temporal model setting in the time for being supported on setting of discovery business
When can not be by load reduction in energy certain time, dilatation be carried out to the host resource of this business.
7. a kind of cloud resource pool service Load-aware with from processing unit, using the cloud resource any in claim 1 to 6
Pool service Load-aware with from processing method, it is characterised in that: stretch module including business load sensing module, business resiliency；
Business load sensing module: by the acquisition and analysis to business historical data, the time series data for establishing each business is abnormal
It is worth detection model, then compares the difference of business real time load Yu business temporal model, determines whether business load is normal at this time；Such as
It was found that real time load situation is more than or lower than the dynamic threshold that business temporal model is arranged, service-aware module will issue unusual fluctuation
Perception information stretches module to business resiliency；
Business resiliency stretches module, for being recycled and being increased to service resources；When find business be supported on setting when
In be consistently less than the dynamic threshold of temporal model setting and when the lower universal performance cost of business host, business load perception with
From processing platform can the part host resource automatically to this business recycle, when discovery business the time for being supported on setting in
When being persistently higher than the dynamic threshold of temporal model setting and can not be by load reduction in function of safety protection certain time, business be negative
Dilatation can be carried out by the host resource to this business automatically with from processing platform by carrying perception.
8. cloud resource pool service Load-aware according to claim 7 with from processing unit, it is characterised in that:
It further include service security protection module, for carrying out safety to this abnormal traffic when finding some business load exception
Detection and fence operation；
When discovery business real time load situation is more than the dynamic threshold of business temporal model setting, business load sensing module is issued
Unusual fluctuation perception information gives service security protection module, and that activates the business applies Safeguard tactics, carries out to this abnormal traffic
Safety detection and fence operation；
After abnormal access, safety protection module can deactivate the Safeguard tactics of applying of abnormal traffic, reduction automatically
Influence of the safety protection module to load-balancing device performance.
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| CN110213125A (en) * | 2019-05-23 | 2019-09-06 | 南京维拓科技股份有限公司 | Abnormality detection system based on time series data under a kind of cloud environment |
| CN110889597A (en) * | 2019-11-08 | 2020-03-17 | 北京宝兰德软件股份有限公司 | Method and device for detecting abnormal business timing sequence indexes |
| CN112000457A (en) * | 2019-05-27 | 2020-11-27 | 伊姆西Ip控股有限责任公司 | Method, apparatus and computer program product for managing tasks in a processing system |
| CN112346846A (en) * | 2019-08-06 | 2021-02-09 | 陆明 | Method and device for analyzing and arranging cloud resources and storage medium |
| TWI827411B (en) * | 2022-12-21 | 2023-12-21 | 新唐科技股份有限公司 | Micro-controller unit and processing method thereof |
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| CN112346846A (en) * | 2019-08-06 | 2021-02-09 | 陆明 | Method and device for analyzing and arranging cloud resources and storage medium |
| CN110889597A (en) * | 2019-11-08 | 2020-03-17 | 北京宝兰德软件股份有限公司 | Method and device for detecting abnormal business timing sequence indexes |
| TWI827411B (en) * | 2022-12-21 | 2023-12-21 | 新唐科技股份有限公司 | Micro-controller unit and processing method thereof |
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Inventor after: Yang Peng Inventor after: Yang Bo Inventor after: Zhou Xiangyu Inventor after: Xu Lei Inventor after: Pan Wenjuan Inventor before: Zhou Xiangyu Inventor before: Xu Lei Inventor before: Pan Wenjuan |
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Application publication date: 20181228 |