In this paper, we develop DALM (Dependency-Aware Locality for MapReduce), a novel replication strategy for general real-world input data that can be highly ...
velop DALM (Dependency-Aware Locality for MapReduce), a novel replication strategy for general real-world input data that can be highly skewed and dependent.
Dec 23, 2015 · In this paper, we present Dependency-Aware Locality for MapReduce (DALM) for processing the real-world input data that can be highly skewed and ...
In this paper, we present DALM (Dependency-Aware Locality for MapReduce) for processing the real-world input data that can be highly skewed and dependent. DALM ...
DALM (Dependency-Aware Locality for MapReduce), a novel replication strategy for general real-world input data that can be highly skewed and dependent that ...
Jun 27, 2014 · In this paper, we develop DALM (Dependency-Aware Locality for MapReduce), a novel replication strategy for general real-world input data that ...
The results show that DALM can significantly improve data locality for different inputs. For a popular iterative graph processing application on Hadoop, our ...
Recent years have witnessed the prevalence of MapReduce-based systems, e.g., Apache Hadoop, in large-scale distributed data processing.
Oct 7, 2019 · Data locality in Hadoop is the process of moving the computation close to where the actual data resides instead of moving large data to computation.
MapReduce effectively partitions and distributes computation workloads to a cluster of servers, facilitating today's big data processing.