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Weighted classification Web service QoS monitoring method

A web service, Bayesian classifier technology, applied in the field of web service QoS monitoring, can solve the problems of lack of dynamic and real-time, low accuracy, offline monotony and so on

Active Publication Date: 2017-02-01
南京晶益科技有限公司
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  • Claims
  • Application Information

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Problems solved by technology

Zhuang et al. proposed a Web Service QoS monitoring method that is sensitive to environmental factors. The weight of samples is constructed through environmental factors, and the weight table is obtained by training some samples. Value calculation, so its accuracy is not high, not dynamic and real-time

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  • Weighted classification Web service QoS monitoring method
  • Weighted classification Web service QoS monitoring method
  • Weighted classification Web service QoS monitoring method

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Embodiment Construction

[0021] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0022] Such as figure 1 As shown, the flow chart of the weighted classification Web service QoS monitoring method based on the improved TF-IDF dynamic weight update provided by the embodiment of the present invention, the steps are as follows:

[0023] Step 101: Define two types of QoS attribute standards c 0 and c 1 , satisfying the QoS attribute standard is c 0 class, or c if not satisfied 1 kind;

[0024] Step 102: Obtain the sample data flow through the RPC (Remote Procedure Call Protocol...

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Abstract

The invention discloses a weighted classification Web service QoS monitoring method based on an improved TF-IDF dynamic weight update. Information gains before and after the occurrence of a composite influence factor data unit are calculated according to a certain specific composite influence factor data unit of subsequent data, the previous weight is corrected based on a TF-IDF improved algorithm based on the information gains, the influence of the distribution condition of the composite influence factor data unit between the classifications to the calculation of a composite influence factor weight, so that the calculation precision of the composite influence factor weight is improved. The monitoring is divided into a training phase and a monitoring phase, sample data streams are obtained by RPC at first, the starting part of data is used trained to obtain a composite influence factor weight list, and a weighted Naive Bayes classifier is constituted according to the composite influence factor weight. The subsequent data is used for monitoring, and the weight list is dynamically updated by the TF-IDF improved algorithm, and the weighted Naive Bayes classifier is called during the monitoring to obtain a monitoring result.

Description

technical field [0001] The invention relates to a Web service QoS monitoring method, in particular to a weighted classification Web service QoS monitoring method based on an improved TF-IDF dynamic weight update, and belongs to the field of information technology. Background technique [0002] With the development of Internet technology, the number of Web services on the Internet increases rapidly, and the use of Web services becomes more complicated. The uncertainty of the network environment makes the service quality of Web services change accordingly. QoS (Quality Of Service) is an important standard to measure the quality of third-party services. Therefore, effective monitoring of QoS is a necessary process for quality control of Web services. [0003] QoS attribute plays an important role in the service-oriented architecture, it can distinguish the quality of the service function, it is directly related to the user's satisfaction, and it is also the key to the success ...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L29/06
CPCH04L65/80H04L67/025
Inventor 张鹏程江艳何志鹏王丽艳张雷刘琪
Owner 南京晶益科技有限公司