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» Dynamic power management using machine learning
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APCSAC
2000
IEEE
15 years 7 months ago
Dataflow Java: Implicitly Parallel Java
Dataflow computation models enable simpler and more efficient management of the memory hierarchy - a key barrier to the performance of many parallel programs. This paper describes...
Gareth Lee, John Morris
INFOCOM
1997
IEEE
15 years 8 months ago
Proactive Network Fault Detection
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...
Cynthia S. Hood, Chuanyi Ji
ICALP
2009
Springer
15 years 11 months ago
Improved Bounds for Speed Scaling in Devices Obeying the Cube-Root Rule
Speed scaling is a power management technique that involves dynamically changing the speed of a processor. This gives rise to dualobjective scheduling problems, where the operating...
Nikhil Bansal, Ho-Leung Chan, Kirk Pruhs, Dmitriy ...
SIGMOD
2010
ACM
221views Database» more  SIGMOD 2010»
15 years 4 months ago
Analyzing the energy efficiency of a database server
Rising energy costs in large data centers are driving an agenda for energy-efficient computing. In this paper, we focus on the role of database software in affecting, and, ultimat...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
EMSOFT
2004
Springer
15 years 9 months ago
Using resource reservation techniques for power-aware scheduling
Minimizing energy consumption is an important issue in the design of real-time embedded systems. As many embedded systems are powered by rechargeable batteries, the goal is to ext...
Claudio Scordino, Giuseppe Lipari