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

@article{Rosas2012ImprovingPO,
  title={Improving Performance on Data-Intensive Applications Using a Load Balancing Methodology Based on Divisible Load Theory},
  author={Claudia Rosas and Anna Sikora and Josep Jorba and Andreu Moreno and Eduardo C{\'e}sar},
  journal={International Journal of Parallel Programming},
  year={2012},
  volume={42},
  pages={94-118}
}
Data-intensive applications are those that explore, query, analyze, and, in general, process very large data sets. Generally, these applications can be naturally implemented in parallel but, in many cases, these implementations show severe performance problems mainly due to load imbalances, inefficient use of available resources, and improper data partition policies. It is worth noticing that the problem becomes more complex when the conditions causing these problems change at run time. This… CONTINUE READING