Computer Science Department - University of Piemonte Orientale  
 
     
 
 

ShareGrid project

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Fault-aware scheduling

Fault-aware scheduling algorithms

for Bag-of-Task Grid Applications

Desktop Grids have proved to be a suitable platform or the execution of Bag-of-Tasks applications but, being characterized by a high resource volatility, require the availability of scheduling techniques able to effectively deal with resource failures and/or unplanned periods of unavailability. We have studied a set of fault-aware scheduling policies that, rather than just tolerating faults as done by traditional fault-tolerant schedulers, exploit the information concerning resource availability to improve application performance. The performance of these strategies have been compared via simulation with those attained by traditional fault-tolerant schedulers. Our results, obtained by consider a set of realistic scenarios modeled after real Desktop Grids, show that our approach results in better application performance and resource utilization.

 


More details about fault-aware scheduling can be found in the publications section.
 

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