Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study

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Provided by: Journal of Universal Computer Science
Topic: Big Data
Format: PDF
In this paper the authors propose an application of data mining methods in the prediction of the availability and performance of Internet paths. They deploy a general decision-making method for advising the users in further usage of Internet path at particular time and date. The method is based on the clustering and tree classification data mining techniques. The usefulness of their method for prediction the Internet path behavior has been confirmed in real-life experiment. The active Internet measurements were performed to gather the end-to-end latency and packet routing information.
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