Support vector regression for link load prediction

  title={Support vector regression for link load prediction},
  author={Paola Bermolen and Dario Rossi},
  journal={2008 4th International Telecommunication Networking Workshop on QoS in Multiservice IP Networks},
From weather to networks, forecasting techniques constitute an interesting challenge: rather than giving a faithful description of the current reality, as a looking glass would do, researchers seek crystal-ball models to speculate on the future. This work is the first to explore the use of support vector machines (SVM) for the purpose of link load forecast. SVMs work well in many learning situations, because they generalize to unseen data, and are amenable to continuous and adaptive on-line… CONTINUE READING
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