CN105843727A - Cloud service data efficient perception system based on active computing soft-sensors - Google Patents

Cloud service data efficient perception system based on active computing soft-sensors Download PDF

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Publication number
CN105843727A
CN105843727A CN201610183737.0A CN201610183737A CN105843727A CN 105843727 A CN105843727 A CN 105843727A CN 201610183737 A CN201610183737 A CN 201610183737A CN 105843727 A CN105843727 A CN 105843727A
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China
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data
active
service
sensors
acs
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CN201610183737.0A
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Inventor
黄锋
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Guangtongtianxia Network Technology Co Ltd
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Guangtongtianxia Network Technology Co Ltd
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Priority to CN202110937603.4A priority Critical patent/CN113742170A/en
Priority to CN201610183737.0A priority patent/CN105843727A/en
Publication of CN105843727A publication Critical patent/CN105843727A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G06F21/577—Assessing vulnerabilities and evaluating computer system security
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/03—Indexing scheme relating to G06F21/50, monitoring users, programs or devices to maintain the integrity of platforms
    • G06F2221/034—Test or assess a computer or a system

Abstract

The invention discloses a cloud service data efficient perception system based on active computing soft-sensors. The new type active computing soft-sensors (ACS) are adopted in an active computing soft-sensor management (ACSM) module. According to the architecture, collection tasks of service data of cloud service stations can be finished, preliminary analysis of massive data can be finished, and preprocessing tasks of unstructured data can be finished. Because the computing and preprocessing functions of the unstructured data are added to Sensors ends, according to the architecture, the load of processing the massive data by a trust computing module can be greatly mitigated. An active mechanism of time drive and event drive is used in the ACS technique, and in this way, the interaction cost of the perception system can be reduced remarkably. Moreover, the time consistency problem in data perception can be solved by importing the ACS technique.

Description

A kind of cloud service data efficient sensory perceptual system based on active software for calculation sensor
Technical field
The invention belongs to field of cloud calculation, be specifically related to integrated multiple technologies, such as cloud computing technology, distributed sensor technology, credibility computing technique etc., it is achieved in the cloud service data efficient sensory perceptual system of active software for calculation sensor.
Background technology
Cloud computing is an important innovation of current computation model.Cloud computing is supplied to user by calculating resource on a large scale with the form of reliability services effectively, thus by user from complicated bottom hardware logic, software stack, frees with procotol.At present, main IT enterprises such as Google, Microsoft, IBM, Amazon etc. release its cloud computing solution one after another.
Credible management and computing technique are the increase behavior new thought of believable safety on the basis of legacy network safe practice, strengthen the dynamic process to network state, network security and service quality control for implementing intelligent adaptive provide policy grounds, we say that a system is believable, it is common that refer to that the behavior of system and result are expected.In recent years, in order to overcome traditional security mechanism drawback under cloud computing environment, scholars use the credible Situation Assessment towards open computing system to share and credible Utilizing question to the safety solving cloud computing resources with Forecasting Methodology, and one of become the new problem of academia and industrial circle common concern.Service side and be one of important channel of safety guarantee problem of improving and solving in cloud computing environment by the trust management technology between service side.The service data obtaining Service Source the most efficiently are the basic works that credibility calculates.
Service data are the bases of Credibility Assessment and prediction.But; under large-scale cloud computing environment; the monitoring system being responsible for trusted service data perception needs to process number even hundred million information counted in terms of necessarily efficiently in moment; the data perception scheme taked must be the most at a high speed; can not simply take traditional passive data monitoring mechanism; from sensor model and cognitive method, traditional method must be reformed, the primary demand of high-speed data perception under extensive interconnection cloud computing environment could be met.Therefore, the efficient sensory perceptual system of cloud service behavioral data is the common hot issue paid close attention to of business circles and academia.
Summary of the invention
This patent proposes a kind of cloud service data efficient sensory perceptual system based on active software for calculation sensor.This patent is by burying active software for calculation sensor (Active Computing Soft-Sensors underground, ACS) monitoring the dynamic change of credible attribute various with perception, the emphasis of perception and difficult point are cloud computing resources layer (including physical machine and virtual machine) and the service behavior of service layer.Service behavior is credible prediction and the main body of assessment in cloud computing applied environment, by the monitoring to service behavior and environmental key-element, it appeared that the insincere behavior that cloud computing service is potential, takes safeguard procedures in time.
What this patent have employed a kind of new software sensor based on active Computation schema realizes framework, have employed in active calculating sensor management (ACSM) module and a kind of novel actively calculate sensor (ACS), make this framework not only perform the acquisition tasks of cloud service station services data, and the preliminary analysis of mass data and the preprocessing tasks of unstructured data can be completed.Owing to adding calculating and the preprocessing function of unstructured data at Sensors end, this framework can greatly alleviate the burden trusting computing module process mass data, and then improves the speed of service of whole system.The maximum of ACS technology and traditional Sensor monitoring technology is not both: traditional Sensor monitoring technology be a kind of " request drives " by mechanism, and ACS technology uses the active mechanisms of " time driving " and " event-driven ", it sends, to tidal data recovering person, the Monitoring Data specified under the timestamp set or specific event trigger on one's own initiative, data acquisition command is sent without ACSM module, so can substantially reduce the mutual expense of sensory perceptual system, and then improve the operational efficiency of sensory perceptual system；Meanwhile, introduce ACS technology and can solve the time consistency sex chromosome mosaicism of data perception.
Accompanying drawing explanation
Fig. 1 is cloud service behavior real-time perception system based on active software for calculation sensor.
Fig. 2 sliding window schematic diagram
Detailed description of the invention
For making the purpose of the present invention, technical scheme and advantage clearer, referring to the drawings and give an actual example the present invention is described in detail.
(1) main functional modules.Active calculating sensor management (ACSM) module is made up of with management module (SDM) with the deployment of identification module and sensor the data acquisition module of various dimensions, the monitoring of exception service behavior.
(2) major function of each module.The data acquisition module of various dimensions is mainly responsible for collecting initial data or the pretreated statistical data that ACS collects.The monitoring of exception service behavior and identification module can carry out preliminary identification and judgement to the service data monitored according to certain rule, if after finding the service behavior of resource exception, notify overall trust aggregating module (OTDA) the most timely, OTDA starts a Credibility Assessment process in time, and processes exception service resource timely according to the result of assessment.The deployment of sensor can dispose the sensor of respective type according to Service Source platform identity (the most different operating systems) targetedly from management module, drives with the time or Service Source is dynamically monitored by event driven mode.
(3) the Quick Pretreatment technology of data.This patent uses a kind of magnanimity based on theory of probability and time window monitoring data Quick Pretreatment technology, the initial data collected can carry out preliminary analysis, and then be that credible management saves valuable time with computing mechanism.When dynamic monitoring data prediction, we introduce the concept (as shown in Figure 2) of sliding window, and when calculating dynamic indicator, we have only to consider the measured value of several recent time windows.The passage of window over time, the most outmoded monitoring data are little by little discarded.In fig. 2, if Δ t is the time window size set, I1, I2..., IgFor some dynamic indicator at TgThe measured value in moment, then we carry out the pretreatment of one-shot measurement data with Δ t for ultimate unit.The number of time window, is set according to practical situation by system, and generally, the number of time window is the most, and the accuracy of calculating is higher, and the time overhead that however it is necessary that is the biggest.
Dynamic circumstantial evidence is the statistic in certain period of time, and therefore, the sliding time window shown in Fig. 2 is to meet the actual rule that credible indexes is measured.During service behavior data monitoring, we can dispose multiple calculating sensors A CS, the corresponding monitoring resource of each ACS, ACS is according to the size of time window, complete the calculating (pretreatment) of index of correlation, and the result of clearing is saved in real-time monitoring data storehouse, call for overall trust aggregating module.Below based on the method for theory of probability to the computational methods of dynamic indicator:
Wherein B (i), M (i), C (i), H (i) and R (i) refer respectively to mark I4-I8(I4: cpu busy percentage, I5: average memory usage, I6: average hard disk utilization rate, I: 7: average response time and I8: average Mission Success implementation rate) at moment TgSampled value, g be in time window Δ t sampling number of times.Index I9Below equation is used to calculate:
Wherein (Δ t) represents the number of times of interaction success in window delta t to S, and (Δ t) represents the most failed mutual number of times in window delta t to U.

Claims (3)

1. a cloud service data efficient sensory perceptual system based on active software for calculation sensor, it is characterised in that by burying active calculating underground Software sensors (Active Computing Soft-Sensors, ACS) monitors the dynamic change of credible attribute various with perception, the weight of perception Point is cloud computing resources layer (including physical machine and virtual machine) and the service behavior of service layer with difficult point.Service behavior is can in cloud computing applied environment The prediction of letter property and the main body assessed, by the monitoring to service behavior and environmental key-element, it appeared that the insincere behavior that cloud computing service is potential, and Time take safeguard procedures.
Method the most according to claim 1, it is characterised in that the maximum of ACS technology and traditional Sensor monitoring technology is not both: tradition Sensor monitoring technology be a kind of " request drives " by mechanism, and ACS technology uses " time drivings " and " event-driven " Active mechanisms, the Monitoring Data that it is specified to tidal data recovering person transmission under the timestamp set or specific event trigger on one's own initiative, without ACSM module sends data acquisition command, so can substantially reduce the mutual expense of sensory perceptual system, and then improve the operational efficiency of sensory perceptual system.
Method the most according to claim 1, it is characterised in that use a kind of magnanimity based on theory of probability and time window monitoring data quick Preconditioning technique, can carry out preliminary analysis, and then be that credible management saves valuable time with computing mechanism the initial data collected.
CN201610183737.0A 2016-03-29 2016-03-29 Cloud service data efficient perception system based on active computing soft-sensors Pending CN105843727A (en)

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CN201610183737.0A CN105843727A (en) 2016-03-29 2016-03-29 Cloud service data efficient perception system based on active computing soft-sensors

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102891773A (en) * 2011-07-18 2013-01-23 北京邮电大学 Cloud computing SLA management framework based on resource credibility evaluation
CN103891201A (en) * 2011-09-19 2014-06-25 塔塔咨询服务有限公司 A computing platform for development and deployment of sensor data based applications and services
US20140214733A1 (en) * 2013-01-30 2014-07-31 Siemens Aktiengesellschaft Method And Apparatus For Deriving Diagnostic Data About A Technical System
CN105357199A (en) * 2015-11-09 2016-02-24 南京邮电大学 Cloud computing cognitive resource management system and method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103906149B (en) * 2012-12-28 2017-06-20 中国移动通信集团北京有限公司 A kind of signal fluctuation analysis method, apparatus and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102891773A (en) * 2011-07-18 2013-01-23 北京邮电大学 Cloud computing SLA management framework based on resource credibility evaluation
CN103891201A (en) * 2011-09-19 2014-06-25 塔塔咨询服务有限公司 A computing platform for development and deployment of sensor data based applications and services
US20140214733A1 (en) * 2013-01-30 2014-07-31 Siemens Aktiengesellschaft Method And Apparatus For Deriving Diagnostic Data About A Technical System
CN105357199A (en) * 2015-11-09 2016-02-24 南京邮电大学 Cloud computing cognitive resource management system and method

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