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Anomaly detection method and system of distributed system, service terminal and memory

A distributed system, anomaly detection technology, applied in error detection/correction, instrumentation, electrical digital data processing, etc., can solve the problem of low accuracy of anomaly detection, and achieve the effect of improving the accuracy of anomaly detection

Inactive Publication Date: 2018-03-27
QIANXUN SPATIAL INTELLIGENCE INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a distributed system anomaly detection method, system, service terminal, and memory, aiming to solve the problem of low accuracy of anomaly detection in the prior art

Method used

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  • Anomaly detection method and system of distributed system, service terminal and memory
  • Anomaly detection method and system of distributed system, service terminal and memory
  • Anomaly detection method and system of distributed system, service terminal and memory

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Experimental program
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Embodiment 1

[0060] figure 1 It shows a flow chart of a distributed system anomaly detection method provided by the first embodiment of the present invention, including:

[0061] Step S1, collecting status data of the distributed system;

[0062] Specifically, the state data of the distributed system is collected, and the state data may include: the current time node, the state it is in, and may also include operating data, etc., which is not limited here.

[0063] Step S2, creating a statistical model;

[0064] Specifically, a state is first assumed, that is, the probability distribution of the distributed system at time t+1 is only related to the state at time t, and has nothing to do with the state before time t, and the state transition from time t to time t+1 is related to the value of t irrelevant. Create a statistical model for anomaly detection of the distributed system, the statistical model is preferably a Markov model, and more preferably, a static Markov model is used;

[0...

Embodiment 2

[0125] Image 6 It shows a structural diagram of an anomaly detection system of a distributed system provided by the second embodiment of the present invention, the system includes: a collection module 1, a creation module 2 connected to the collection module 1, and a creation module connected to the creation module 2 3. An acquisition module 4 connected to the establishment module 3, wherein:

[0126] The collection module 1 is used to collect the state data of the distributed system;

[0127] Specifically, the state data of the distributed system is collected, and the state data may include: the current time node, the state it is in, and may also include operating data, etc., which is not limited here.

[0128] Create module 2 for creating statistical models;

[0129] Specifically, a state is first assumed, that is, the probability distribution of the distributed system at time t+1 is only related to the state at time t, and has nothing to do with the state before time t, ...

Embodiment 3

[0188] Figure 7 Shows a structural diagram of a service terminal provided by the third embodiment of the present invention, the service terminal includes: a memory (memory) 71, a processor (processor) 72, a communication interface (Communications Interface) 73 and a bus 74, the processing The device 72, the memory 71, and the communication interface 73 complete mutual communication through the bus 74, wherein:

[0189] Memory 71, used for storing various data;

[0190] Specifically, the memory 71 is used to store various data, such as data during communication, received data, etc., which is not limited here, and the memory also includes multiple computer programs.

[0191] Communication interface 73, used for information transmission between communication devices of the service terminal;

[0192] The processor 72 is configured to call various computer programs in the memory 71 to execute the anomaly detection method of a distributed system provided in the first embodiment a...

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Abstract

The invention is applicable to the technical field of distributed system detection, and provides an anomaly detection method and system of a distributed system, a service terminal and a memory. The anomaly detection method comprises the steps of acquiring state data of the distributed system, establishing a statistical model, introducing a time observation sequence, establishing a support probability model of the statistical model on the time observation sequence, and obtaining a corresponding anomaly detection result on the basis of the state data and the support probability model. Accordingto the method, the time observation sequence is introduced into the statistical model, whether the state of the distributed system is abnormal or not is detected through the support probability model,and the accuracy of anomaly detection is improved.

Description

technical field [0001] The invention belongs to the technical field of distributed system detection, and in particular relates to a distributed system abnormality detection method and system, a service terminal and a memory. Background technique [0002] In a distributed system, each computer is independent of each other and can be physically adjacent or geographically dispersed. They are connected through a network or other means to form a whole. [0003] In order to better reflect the powerful ability of distributed computing to process data calculations, monitoring the distributed computing environment will become particularly important and critical. The system must coordinate the operation of these tasks, allocate resources reasonably to make full use of resources and improve the performance of the entire system. [0004] Typically, the system employs a scheduler to manage these tasks. The scheduler will collect information about various resources in the system to dete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/34G06F11/30
CPCG06F11/3006G06F11/3055G06F11/3447G06F11/3452G06F11/3476G06F11/3495
Inventor 万景琨
Owner QIANXUN SPATIAL INTELLIGENCE INC
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