Energy-efficient real-time heterogeneous server clusters
C Rusu, A Ferreira, C Scordino… - 12th IEEE real-time and …, 2006 - ieeexplore.ieee.org
With increasing costs of energy consumption and cooling, power management in server
clusters has become an increasingly important design issue. Current clusters for real-time
applications are designed to handle peak loads, where all servers are fully utilized. In
practice, peak load conditions rarely happen and clusters are most of the time underutilized.
This creates the opportunity for using slower frequencies, and thus smaller energy
consumption, with little or no impact on the Quality of Service (QoS), for example …
clusters has become an increasingly important design issue. Current clusters for real-time
applications are designed to handle peak loads, where all servers are fully utilized. In
practice, peak load conditions rarely happen and clusters are most of the time underutilized.
This creates the opportunity for using slower frequencies, and thus smaller energy
consumption, with little or no impact on the Quality of Service (QoS), for example …
[PDF][PDF] Energy-Efficient Real-Time Heterogeneous Server Clusters TR-05-127
With increasing costs of energy consumption and cooling, power management in server
clusters has become an increasingly important design issue. Current clusters for real-time
applications are designed to handle peak loads, where all servers are fully utilized. In
practice, peak load conditions rarely happen and clusters are most of the time underutilized.
This creates the opportunity for using slower frequencies, and thus smaller energy
consumption, with little or no impact on the Quality of Service (QoS), for example …
clusters has become an increasingly important design issue. Current clusters for real-time
applications are designed to handle peak loads, where all servers are fully utilized. In
practice, peak load conditions rarely happen and clusters are most of the time underutilized.
This creates the opportunity for using slower frequencies, and thus smaller energy
consumption, with little or no impact on the Quality of Service (QoS), for example …
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