[HTML][HTML] Analysis of hadoop MapReduce scheduling in heterogeneous environment
K Kalia, N Gupta - Ain Shams Engineering Journal, 2021 - Elsevier
Over the last decade, several advancements have happened in distributed and parallel
computing. A lot of data is generated daily from various sources, and this speedy data …
computing. A lot of data is generated daily from various sources, and this speedy data …
MapReduce scheduling algorithms in Hadoop: a systematic study
Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses
Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process …
Hadoop Distributed File System (HDFS) for storing data and uses MapReduce to process …
Hadoop recognition of biomedical named entity using conditional random fields
Processing large volumes of data has presented a challenging issue, particularly in data-
redundant systems. As one of the most recognized models, the conditional random fields …
redundant systems. As one of the most recognized models, the conditional random fields …
A self-adaptive scheduling algorithm for reduce start time
MapReduce is by far one of the most successful realizations of large-scale data-intensive
cloud computing platforms. When to start the reduce tasks is one of the key problems to …
cloud computing platforms. When to start the reduce tasks is one of the key problems to …
Classification framework of MapReduce scheduling algorithms
A MapReduce scheduling algorithm plays a critical role in managing large clusters of
hardware nodes and meeting multiple quality requirements by controlling the order and …
hardware nodes and meeting multiple quality requirements by controlling the order and …
Energy utilization task scheduling for mapreduce in heterogeneous clusters
J Wang, X Li, R Ruiz, J Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, energy costs are the most important factor in cloud computing. Therefore, the
implementation of energy-aware task scheduling methods is of utmost importance. A task …
implementation of energy-aware task scheduling methods is of utmost importance. A task …
Adaptive task scheduling strategy based on dynamic workload adjustment for heterogeneous Hadoop clusters
X Xu, L Cao, X Wang - IEEE Systems Journal, 2014 - ieeexplore.ieee.org
The original task scheduling algorithm of Hadoop cannot meet the performance
requirements of heterogeneous clusters. According to the dynamic change of load of each …
requirements of heterogeneous clusters. According to the dynamic change of load of each …
Ad-hoc cloudlet based cooperative cloud gaming
As the game industry matures, processing complex game logics in a timely manner is no
longer an insurmountable problem. However, current cloud-based mobile gaming solutions …
longer an insurmountable problem. However, current cloud-based mobile gaming solutions …
Towards theoretical cost limit of stochastic number generators for stochastic computing
Stochastic number generator (SNG) is one important component of stochastic computing
(SC). An SNG usually consists of a random number source (RNS) and a probability …
(SC). An SNG usually consists of a random number source (RNS) and a probability …
Patterns for distributed real-time stream processing
P Basanta-Val, N Fernandez-Garcia… - … on Parallel and …, 2017 - ieeexplore.ieee.org
In recent years, big data systems have become an active area of research and development.
Stream processing is one of the potential application scenarios of big data systems where …
Stream processing is one of the potential application scenarios of big data systems where …