Risky Search with Increasing Complexity by a Desktop Grid

Author(s):  
Ilya Chernov ◽  
Evgeny Ivashko
Keyword(s):  
2018 ◽  
Vol 29 (12) ◽  
pp. 2882-2895 ◽  
Author(s):  
Evgeny Ivashko ◽  
Ilya Chernov ◽  
Natalia Nikitina
Keyword(s):  

2014 ◽  
Vol 17 (4) ◽  
pp. 1185-1201 ◽  
Author(s):  
Jik-Soo Kim ◽  
Beomseok Nam ◽  
Alan Sussman

Author(s):  
Jan Kantert ◽  
Henning Spiegelberg ◽  
Sven Tomforde ◽  
Jorg Hahner ◽  
Christian Muller-Schloer

Author(s):  
Zeeshan Patoli ◽  
Michael Gkion ◽  
Abdullah Al-Barakati ◽  
Wei Zhang ◽  
Paul Newbury ◽  
...  

2011 ◽  
pp. 1396-1412
Author(s):  
Genoveffa Jeni Giambona ◽  
Nicholas L.J. Silburn ◽  
David W. Birchall

This chapter focuses on the collaborative use of computing resources to support decision making in industry. Through the use of middleware for desktop grid computing, the idle CPU cycles available on existing computing resources can be harvested and used for speeding-up the execution of applications that have “non-trivial” processing requirements. This chapter focuses on the desktop grid middleware BOINC and Condor, and discusses the integration of commercial simulation software together with free-to-download grid middleware so as to offer competitive advantage to organizations that opt for this technology. It is expected that the low-intervention integration approach presented in this chapter (meaning no changes to source code required) will appeal to both simulation practitioners (as simulations can be executed faster, which in turn would mean that more replications and optimization are possible in the same amount of time) and management (as it can potentially increase the return on investment on existing resources).


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