present a reliability model to quantitatively study the reliability of energy-efficient parallel disk systems equipped with the PDC and MAID schemes. Then, we propose a novel strategy— disk swapping—to improve disk reliability by alternating disks storing hot data with disks holding cold data. We

Performance improvement and energy conservation are two conflicting objectives in large scale parallel storage systems. In this paper, we propose a novel solution to achieve the twin objectives of maximizing performance and minimizing energy consumption of parallel storage systems. Specifically, a

framework for large-scale and energy-efficient parallel storage systems. To validate the efficiency of the proposed framework, a buffer-disk scheduling algorithm is designed and implemented. Our algorithm can provide more opportunities for underlying disk power management schemes to save energy by keeping a

framework for large-scale and energy-efficient parallel storage systems. To validate the efficiency of the proposed framework, a buffer-disk scheduling algorithm is designed and implemented. Our algorithm can provide more opportunities for underlying disk power management schemes to save energy by keeping a

to form networked virtual supercomputers or metacomputers. While the physical infrastructure to build such systems is becoming widespread, the heterogeneous and dynamic nature of the metacomputing environment poses new challenges for developers of system software, parallel tools, and applications

Abstract: NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on low-cost commodity clusters, and also runs on individual desktop

Abstract—We develop a mathematical model – MREED – to quantitatively evaluate the failure rate of energy-efficient parallel storage systems. The Power-Aware Redundant Array of Inexpensive Disk (PARAID) aims to reduce energy use of commodity server-class disks without specialized hardware. The goal

With the rapid growth of the production and storage of large scale data sets it is important to investigate methods to drive the cost of storage systems down. Many energy conservation techniques have been proposed to achieve high energy efficiency in disk systems. Unfortunately, growing evidence

......Many applications today, used by millions of people around the clock, store and process massive data sets. These data-centric computing applications include transaction processing, search engines, and e-mail services as well as newer types of applications, such as social networking and photo and video sharing. The amount of data these applications must handle is growing tremendously, and experts estimate that the amount of data generated and stored worldwide will reach nearly 1,000 exabytes in a few years. 1 Data centers will need to store and centrally manage this data, and applications will use it to process and deliver

and hierarchical memory. We discuss several important paradigms for how to solve batched and online problems efficiently in external memory. Programming tools and environments are available for simplifying the programming task. The TPIE system (Transparent Parallel I/O programming Environment) is both easy to use