Inter-program optimizations for conserving disk energy
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Power reduction techniques for microprocessor systems
ACM Computing Surveys (CSUR)
Power-Aware Network Swapping for Wireless Palmtop PCs
IEEE Transactions on Mobile Computing
Execution context optimization for disk energy
CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
What is the future of disk drives, death or rebirth?
ACM Computing Surveys (CSUR)
| Hi-index | 14.98 |
Energy conservation without performance degradation is an important goal for battery-operated computers, such as laptops and hand-held assistants. We study application-supported device management for optimizing energy and performance. In particular, we consider application transformations that increase device idle times and inform the operating system about the length of each upcoming, period of idleness. We use modeling and experimentation to assess the potential energy and performance benefits of this type of application support for a laptop disk. Furthermore, we propose and evaluate a compiler framework for performing the transformations automatically. Our main modeling results show that the transformations are potentially beneficial. However, our experimental results with six real laptop applications demonstrate that, unless applications are transformed, they cannot accrue any of the predicted benefits. In addition, they show that our compiler can produce almost the same performance and energy results as hand-modifying applications. Overall, we find that the transformations can reduce disk energy consumption from 55 percent to 89 percent with degradation in performance of at most 8 percent.