Two major constraints demand more consideration for energy efficiency in cluster
computing:(a) operational costs, and (b) system reliability. Increasing energy efficiency in …

Energy has become a first-class design constraint in computer systems. Memory is a
significant contributor to total system power. This paper introduces Flikker, an application …

Modern high performance computer systems continue to increase in size and complexity.
Tools to measure application performance in these increasingly complex environments must …

High-performance computing data centers have been rapidly growing, both in number and
size. Thermal management of data centers can address dominant problems associated with …

Green cloud computing has become a major concern in both industry and academia, and
efficient scheduling approaches show promising ways to reduce the energy consumption of …

The performance-at-any-cost design mentality ignores supercomputers' excessive power
consumption and need for heat dissipation and will ultimately limit their performance …

Performance and power are critical design constraints in today's high-end computing
systems. Reducing power consumption without impacting system performance is a …

The thermal environment of data centers plays a significant role in affecting the energy
efficiency and the reliability of data center operation. A dominant problem associated with …

The challenge of balancing between power and performance is now well established. While
research in this area is well underway, the ability to measure power and energy in situ has …

Cloud computing represents a significant shift in computer capability acquisition from the
former ownership model to the current subscription approach. In cloud computing, services …