Green Flexible Opportunistic Computing with Virtualization

Energy efficiency and High computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize the end user offer, virtualization is considered as one key techniques to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This paper presents an energy efficient approach for opportunistic grids based on virtualization. The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.

[1]  Mario Villamizar,et al.  Mesoscale Modeling of the Bacillus Thuringiensis Sporulation Network Based on Stochastic Kinetics and Its Application for in Silico Scale-Down , 2009, 2009 International Workshop on High Performance Computational Systems Biology.

[2]  Alejandro Rojas,et al.  Characterization of Phytophthora infestans populations in Colombia: first report of the A2 mating type. , 2009, Phytopathology.

[3]  Harold Castro,et al.  JG2A: A Grid-enabled object-oriented framework for developing genetic algorithms , 2009, 2009 Systems and Information Engineering Design Symposium.

[4]  David P. Anderson,et al.  BOINC: a system for public-resource computing and storage , 2004, Fifth IEEE/ACM International Workshop on Grid Computing.

[5]  John Paul Walters,et al.  A Comparison of Virtualization Technologies for HPC , 2008, 22nd International Conference on Advanced Information Networking and Applications (aina 2008).

[6]  Subasish Mohapatra,et al.  Virtualization: A Survey on Concepts, Taxonomy and Associated Security Issues , 2010, 2010 Second International Conference on Computer and Network Technology.

[7]  Mark Russinovich,et al.  Microsoft Windows Internals, Fourth Edition: Microsoft Windows Server(TM) 2003, Windows XP, and Windows 2000 (Pro-Developer) , 2004 .