Parallel MapReduce: Maximizing Cloud Resource Utilization and Performance Improvement Using Parallel Execution Strategies
MapReduce is the preferred cloud computing framework used in large data analysis and application processing. MapReduce frameworks currently in place suffer performance degradation due to the adoption of sequential processing approaches with little modification and thus exhibit underutilization of cl...
Main Authors: | Ahmed Abdulhakim Al-Absi, Najeeb Abbas Al-Sammarraie, Wael Mohamed Shaher Yafooz, Dae-Ki Kang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2018/7501042 |
Similar Items
-
Long Read Alignment with Parallel MapReduce Cloud Platform
by: Ahmed Abdulhakim Al-Absi, et al.
Published: (2015-01-01) -
Loop parallelization in the cloud using OpenMP and MapReduce
by: Wottrich, Rodolfo Guilherme, 1990-
Published: (2014) -
Efficient verification of parallel matrix multiplication in public cloud: the MapReduce case
by: Ramtin Bagheri, et al.
Published: (2020-10-01) -
Parallel QBL-PSO Using MapReduce
by: Wen-Chun Chi, et al.
Published: (2014) -
Parallel Implementation of Apriori Algorithm Based on MapReduce
by: Ning Li, et al.
Published: (2013-04-01)