In this paper we study four approaches to conserving disk energy in high-performance network servers. The first approach is to leverage the extensive work on laptop disks and power disks down during periods of idleness. The second approach is to replace highperformance disks with a set of lower

with the goal of reducing overall disk energy. A preliminary study and simulation results for this inter-program compilation approach shows that significant disk energy can be saved (between 5% and 16%) over the individually, disk energy optimized programs for three benchmark applications.

Power, energy, and thermal concerns have constrained embedded systems designs. Computing capability and storage density have increased dramatically, enabling the emergence of handheld devices from special to general purpose computing. In many mobile systems, the disk is among the top energy

The energy usage of computer systems is becoming more important, especially for battery operated systems. Displays, disks, and cpus, in that order, use the most energy. Reducing the energy used by displays and disks has been studied elsewhere; this paper considers a new method for reducing

group with the goal of reducing overall disk energy. A preliminary study and simulation results for this inter-program compilation approach shows that significant disk energy can be saved (between 5 % and 16%) over the individually, disk energy optimized programs for three benchmark applications. 1

Abstract not found

Energy-proportional designs would enable large energy savings in servers, potentially doubling their efficiency in real-life use. Achieving energy proportionality will require significant improvements in the energy usage profile of every system component, particularly the memory and disk subsystems

Power, energy, and thermal concerns have had explosive growth in research over the past two decades. In servers, desktops, and mobile systems, the hard disk is among the top resources in power and energy consumption. Common techniques for reducing disk energy consumption have included caching

Abstract. Previous work has shown that intra-program optimizations, i.e., optimizations performed on individual programs in isolation, can be very effective in reducing disk energy in streaming applications. This paper investigates the potential additional benefits of inter-program optimizations

Previous work has shown that intra-program optimizations, i.e., optimizations performed on individual programs in isolation, can be very effective in reducing disk energy in streaming applications. This paper investigates the potential additional benefits of inter-program optimizations where sets