The GREEN-NET framework: Energy efficiency in large scale distributed systems

2009 ◽  
Author(s):  
Georges Da Costa ◽  
Jean-Patrick Gelas ◽  
Yiannis Georgiou ◽  
Laurent Lefevre ◽  
Anne-Cecile Orgerie ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Distributed Systems ◽  
Large Scale ◽  
Net Framework ◽  
Framework Energy

scholarly journals A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014 ◽  
Vol 46 (4) ◽  
pp. 1-31 ◽  
Author(s):  
Anne-Cecile Orgerie ◽  
Marcos Dias de Assuncao ◽  
Laurent Lefevre
Keyword(s):  
Energy Efficiency ◽  
Distributed Systems ◽  
Large Scale

Energy efficiency in large-scale distributed systems

2012 ◽  
Vol 28 (5) ◽  
pp. 743-744
Author(s):  
Tuan Anh Trinh ◽  
Helmut Hlavacs ◽  
Domenico Talia
Keyword(s):  
Energy Efficiency ◽  
Distributed Systems ◽  
Large Scale

ERIDIS: ENERGY-EFFICIENT RESERVATION INFRASTRUCTURE FOR LARGE-SCALE DISTRIBUTED SYSTEMS

2011 ◽  
Vol 21 (02) ◽  
pp. 133-154 ◽  
Author(s):  
ANNE-CECILE ORGERIE ◽  
LAURENT LEFEVRE
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Distributed Systems ◽  
Energy Efficient ◽  
Large Scale ◽  
Generic Framework ◽  
Peer To Peer Systems ◽  
Dedicated Networks ◽  
Electrical Consumption ◽  
Hardware Designs

At the age of petascale machines, cloud computing and peer-to-peer systems, large-scale distributed systems need an ever-increasing amount of energy. These systems urgently require effective and scalable solutions to manage and limit their electrical consumption. As of now, most efforts are focused on energy-efficient hardware designs. Thus, the challenge is to coordinate all these low-level improvements at the middleware level to improve the energy efficiency of the overall systems. Resource-management solutions can indeed benefit from a broader view to pool the resources and to share them according to the needs of each user. In this paper, we propose ERIDIS, an Energy-efficient Reservation Infrastructure for large-scale DIstributed Systems. It provides a unified and generic framework to manage resources from Grids, Clouds and dedicated networks in an energy-efficient way.

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