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ASPLOS
2011
ACM
12 years 11 months ago
MemScale: active low-power modes for main memory
Main memory is responsible for a large and increasing fraction of the energy consumed by servers. Prior work has focused on exploiting DRAM low-power states to conserve energy. Ho...
Qingyuan Deng, David Meisner, Luiz E. Ramos, Thoma...
ICCCN
2008
IEEE
14 years 2 months ago
Energy Minimization through Network Coding for Lifetime Constrained Wireless Networks
— Energy management is the key issue in the design and operation of wireless network applications like sensor networks, pervasive computing and ubiquitous computing where the net...
Nishanth Gaddam, Sudha Anil Gathala, David Lastine...
WWIC
2004
Springer
133views Communications» more  WWIC 2004»
14 years 29 days ago
Design of Energy Efficient Wireless Networks Using Dynamic Data Type Refinement Methodology
Abstract. This paper presents a new perspective to the design of wireless networks using the proposed dynamic data type refinement methodology. In the forthcoming years, new portab...
Stylianos Mamagkakis, Alexandros Mpartzas, Georgio...
EMSOFT
2010
Springer
13 years 5 months ago
Energy-aware packet and task co-scheduling for embedded systems
A crucial objective in battery operated embedded systems is to work under the minimal power consumption that provides a desired level of performance. Dynamic Voltage Scaling (DVS)...
Luca Santinelli, Mauro Marinoni, Francesco Prosper...
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
14 years 13 days ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...