Data Center-Specific AI Completes Tasks Twice As Fast
Networkworld, August 29th, 2019
September 8, 2019,
Volume 258, Issue 1

Researchers at MIT have developed an artificial intelligence-powered system based on reinforcement learning that could revolutionize data center operations

Patrick Nelson writes in Networkworld, "Data centers running artificial intelligence (AI) will be significantly more efficient than those operating with hand-edited algorithm schedules, say experts at MIT. The researchers there say they have developed an automated scheduler that speeds cluster jobs by up to 20 or 30 percent, and even faster (2x) in peak periods.

The school's AI job scheduler works on a type of AI called 'reinforcement learning' (RL). That's a trial-and-error-based machine-learning method that modifies scheduling decisions depending on actual workloads in a specific cluster. AI, when done right, could supersede the current state-of-the-art method, which is algorithms. They often must be fine-tuned by humans, introducing inefficiency..."

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Other articles in the IT News - Operations section of Volume 258, Issue 1:
  • Data Center-Specific AI Completes Tasks Twice As Fast (this article)

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