DocumentCode :
125542
Title :
The WNoDeS Cloud Virtualization Framework: A Macromolecular Surface Analysis Application Case Study
Author :
Ronchieri, Elisabetta ; Cesini, D. ; D´Agostino, D. ; Ciaschini, Vincenzo ; Dalla Torre, Gianni ; Cozzi, Paolo ; Salomoni, Davide ; Clematis, Andrea ; Milanesi, L. ; Merelli, I.
Author_Institution :
CNAF, INFN, Bologna, Italy
fYear :
2014
fDate :
12-14 Feb. 2014
Firstpage :
218
Lastpage :
222
Abstract :
The Grid infrastructures, such as the one provided by the European Grid Infrastructure, represent suitable solutions to achieve cost effective computational power. However, these solutions present to Grid users some challenges, i.e. to create a customized computing environment and its management.For this reason a Cloud-like approach is for certain applications more suitable than a pure Grid one.In this paper, we propose an approach based on WNoDeS- the Worker Nodes on Demand Service - to exploit both the computational and storage power of the Grid and the flexibility of the Cloud paradigm. This virtualization framework makes possible, trough a tight integration with Local Resource Management Systems, a dynamic allocation of virtual resources out of a common resource pool. WNoDes has been installed on some INFN Grid sites, allowing selected users to instantiate aset of customized virtual machines on top of the Grid resources. Running the applications on customized machines simplifies the computing model and reduces the failure rates. We show how it is feasible to smoothly perform a real life molecular surfaces analysis use case instantiating resources through WNoDeS.
Keywords :
biology computing; cloud computing; grid computing; macromolecules; molecular biophysics; resource allocation; storage management; virtual machines; virtualisation; European grid infrastructure; INFN grid sites; WNoDeS cloud virtualization framework; cloud paradigm flexibility; computational power; computing model; customized virtual machines; dynamic virtual resource allocation; failure rate reduction; grid users; local resource management systems; macromolecular surface analysis application; storage power; worker nodes on demand service; Bioinformatics; Cloud computing; Clouds; Computational modeling; Proteins; Virtual machining; Cloud computing; Virtualization framework; molecular surface analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on
Conference_Location :
Torino
ISSN :
1066-6192
Type :
conf
DOI :
10.1109/PDP.2014.54
Filename :
6787276
Link To Document :
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