Oct 7, 2015 · The issues of duplicated matching and data-load balancing have not been fully studied. In this paper, we propose a data-load balanced MapReduce ...

Applying load balancing to a MapReduce algorithm enables the use of all nodes at full capacity, effectively improving efficiency. Some studies have dealt with ...

The approach utilizes a preprocessing MapReduce job to analyze the data distribution and provides an improved load balancing by applying an efficient block ...

Oct 22, 2024 · The approach utilizes a preprocessing MapReduce job to analyze the data distribution and provides an improved load balancing by applying an ...

This work proposes and evaluates two approaches for skew handling and load balancing of entity resolution in the presence of skewed data and shows the value ...

The common approach to improve efficiency is to reduce the search space by adopting so-called blocking techniques. [3]. They utilize a blocking key on the ...

The experimental results demonstrate that LoEM improves the load balancing of Hadoop up to 20% and 82% in homogeneous and heterogeneous environments, ...

Mar 1, 2024 · To effectively achieve the required reduction in computational time of MapReduce-based ER, there is a need for an even distribution of data ...

MapReduce is a famous model for data-intensive parallel com-puting in shared-nothing clusters. One of the main issues in MapReduce is the fact of depending ...

For comparisons, the sliding windows approach can lead to heavy overlapping of entity set. The MapReduce-based approach is applicable here, but requires ...