One of the main challenges in data center systems is operating under certain Quality of Service (QoS) while minimizing power consumption. Increasingly, data centers are exploring and adopting heterogeneous server architectures with different power and performance trade-offs. This not only requires careful understanding of the application behavior across multiple architectures at runtime so as to enable meeting power and performance requirements but also an understanding of individual and aggregated behaviour of application and server level performance and power metrics
Maximizing performance in power-constrained computing environments is highly important in cloud and ...
Estimating power consumption is critical for hardware and software developers, and of the latter, pa...
Power constraint has become arguably the biggest obstacle for the performance scaling of computing m...
Modern data centers increasingly demand improved performance with minimal power consumption. Managin...
Configuration of hardware knobs in multicore environments for meeting performance-power demands cons...
Abstract—The increasing demand for computation and the commensurate rise in the power density of dat...
In 2013, U.S. data centres accounted for 2.2% of the country's total electricity consumption, a figu...
In 2013, U.S. data centers accounted for 2.2% of the country’s total electricity consumption, a figu...
The vast majority of Internet services available today rely on the computing capabilities of data ce...
Power consumption in data centers has been growing sig-nificantly in recent years. To reduce power, ...
Power consumption costs takes upto half of operational ex-penses of datacenters making power managem...
The alarming growth of the power consumption of data centers coupled with low average utilization o...
The emerging data-intensive applications of today are comprised of non-uniform CPU and I/O intensive...
With the rapid growth of servers and applications spurred by the Internet economy, power consumption...
Diminishing performance returns and increasing power consumption of single-threaded processors have ...
Maximizing performance in power-constrained computing environments is highly important in cloud and ...
Estimating power consumption is critical for hardware and software developers, and of the latter, pa...
Power constraint has become arguably the biggest obstacle for the performance scaling of computing m...
Modern data centers increasingly demand improved performance with minimal power consumption. Managin...
Configuration of hardware knobs in multicore environments for meeting performance-power demands cons...
Abstract—The increasing demand for computation and the commensurate rise in the power density of dat...
In 2013, U.S. data centres accounted for 2.2% of the country's total electricity consumption, a figu...
In 2013, U.S. data centers accounted for 2.2% of the country’s total electricity consumption, a figu...
The vast majority of Internet services available today rely on the computing capabilities of data ce...
Power consumption in data centers has been growing sig-nificantly in recent years. To reduce power, ...
Power consumption costs takes upto half of operational ex-penses of datacenters making power managem...
The alarming growth of the power consumption of data centers coupled with low average utilization o...
The emerging data-intensive applications of today are comprised of non-uniform CPU and I/O intensive...
With the rapid growth of servers and applications spurred by the Internet economy, power consumption...
Diminishing performance returns and increasing power consumption of single-threaded processors have ...
Maximizing performance in power-constrained computing environments is highly important in cloud and ...
Estimating power consumption is critical for hardware and software developers, and of the latter, pa...
Power constraint has become arguably the biggest obstacle for the performance scaling of computing m...