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 Energy proportional datacenter networks
tween common server workload profiles and server energy effi-ciency [3]. In particular, they show that a typical Google cluster spends most of its time within the 10-50% CPU utilization range, but that servers are inefficient at these levels. They therefore make the call for energy proportional computing systems that ideally con-...