Improving Performance on Data-Intensive Applications Using a Load Balancing Methodology Based on Divisible Load Theory - researchr publication related

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Claudia Rosas, Anna Sikora, Josep Jorba, Andreu Moreno, Eduardo César. Improving Performance on Data-Intensive Applications Using a Load Balancing Methodology Based on Divisible Load Theory. International Journal of Parallel Programming, 42(1):94-118, 2014. [doi]

The following publications are possibly variants of this publication:

Performance Improvement Methodology based on Divisible Load Theory for Data Intensive ApplicationsClaudia Rosas. PhD thesis, Autonomous University of Barcelona, Spain, 2012. [doi]

Workload Balancing Methodology for Data-Intensive Applications with Divisible LoadClaudia Rosas, Anna Morajko, Josep Jorba, Eduardo César. sbac-pad 2011: 48-55 [doi]

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