scholarly journals Introduction to special issue on selected papers from Energy Efficiency in Large-Scale Distributed Systems 2013 conference

2014 ◽  
Vol 26 (15) ◽  
pp. 2567-2568
Author(s):  
Jean-Marc Pierson ◽  
Lars Dittmann ◽  
Georges Da Costa
2014 ◽  
Vol 46 (4) ◽  
pp. 1-31 ◽  
Author(s):  
Anne-Cecile Orgerie ◽  
Marcos Dias de Assuncao ◽  
Laurent Lefevre

2012 ◽  
Vol 28 (5) ◽  
pp. 743-744
Author(s):  
Tuan Anh Trinh ◽  
Helmut Hlavacs ◽  
Domenico Talia

2011 ◽  
Vol 21 (02) ◽  
pp. 133-154 ◽  
Author(s):  
ANNE-CECILE ORGERIE ◽  
LAURENT LEFEVRE

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.


Algorithms ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 200 ◽  
Author(s):  
Danilo Ardagna ◽  
Claudia Canali ◽  
Riccardo Lancellotti

Modern distributed systems are becoming increasingly complex as virtualization is being applied at both the levels of computing and networking. Consequently, the resource management of this infrastructure requires innovative and efficient solutions. This issue is further exacerbated by the unpredictable workload of modern applications and the need to limit the global energy consumption. The purpose of this special issue is to present recent advances and emerging solutions to address the challenge of resource management in the context of modern large-scale infrastructures. We believe that the four papers that we selected present an up-to-date view of the emerging trends, and the papers propose innovative solutions to support efficient and self-managing systems that are able to adapt, manage, and cope with changes derived from continually changing workload and application deployment settings, without the need for human supervision.


Author(s):  
Georges Da Costa ◽  
Jean-Patrick Gelas ◽  
Yiannis Georgiou ◽  
Laurent Lefevre ◽  
Anne-Cecile Orgerie ◽  
...  

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