Provided by: Pennsylvania State Employees Credit Union
Topic: Big Data
Date Added: Mar 2014
The authors study the problem of optimizing data center electric utility bill under uncertainty in workloads and real-world pricing schemes. Their focus is on using control knobs that modulate the power consumption of IT equipment. To overcome the difficulty of casting/updating such control problems and the computational intractability they suffer from in general, they propose and evaluate a hierarchical optimization framework wherein an upper layer uses temporal aggregation to restrict the number of decision instants during a billing cycle to computationally feasible values, and spatial (i.e., control knob) aggregation whereby it models the large and diverse set of power control knobs with two abstract knobs labeled demand dropping and demand delaying.