Solving simulation optimization problems on grid computing systems

2006 ◽  
Vol 32 (9) ◽  
pp. 688-700 ◽  
Author(s):  
Demetrio Laganá ◽  
Pasquale Legato ◽  
Ornella Pisacane ◽  
Francesca Vocaturo
2014 ◽  
Vol 3 (3) ◽  
pp. 67-78
Author(s):  
Ileana Dumitru

To calculate the potential impact of grid on the enterprise, one just needs to look back a decade or so ago. Those who remember how LANs developed in company years before the Web was born can easily get a picture of how Grid Computing in corporations may change in the years to come. In the early days of the Internet, there was a strong opposition to linking computers together in a network. Ultimately, however, the Internet has become a ubiquitous tool, and many experts predict the same outcome for Grid Computing on the enterprise. There are still concerns to consider and obstacles to be overcome, but the momentum behind corporate Grid Computing is quickly gathering pace. The integration of Grid Computing technologies into enterprise computing systems can provide a much richer range of possibilities. This integration should provide enhanced capabilities and interoperability to meet current virtual organization demands.


2018 ◽  
Vol 157 ◽  
pp. 02054 ◽  
Author(s):  
Milan Vaško ◽  
Marián Handrik ◽  
Alžbeta Sapietová ◽  
Jana Handriková

The paper presents an analysis of the use of optimization algorithms in parallel solutions and distributed computing systems. The primary goal is to use evolutionary algorithms and their implementation into parallel calculations. Parallelization of computational algorithms is suitable for the following cases - computational models with a large number of design variables or cases where the objective function evaluation is time consuming (FE analysis). As the software platform for application of distributed optimization algorithms is using MATLAB and BOINC software package.


Author(s):  
CHAO JIN ◽  
RAJKUMAR BUYYA ◽  
LEX STEIN ◽  
ZHENG ZHANG

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