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Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm

Abstract · Apr 16, 2017 02:55 ·

infrastructure memorize recall multimedia unstructured robotic feeds cloud cs-dc cs-ai cs-ro

Arxiv Abstract

  • Shaoshan Liu
  • Bolin Ding
  • Jie Tang
  • Dawei Sun
  • Zhe Zhang
  • Grace Tsai
  • Jean-Luc Gaudiot

The rise of robotic applications has led to the generation of a huge volume of unstructured data, whereas the current cloud infrastructure was designed to process limited amounts of structured data. To address this problem, we propose a learn-memorize-recall-reduce paradigm for robotic cloud computing. The learning stage converts incoming unstructured data into structured data; the memorization stage provides effective storage for the massive amount of data; the recall stage provides efficient means to retrieve the raw data; while the reduction stage provides means to make sense of this massive amount of unstructured data with limited computing resources.

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