{Real-Time} Scheduling of Skewed {MapReduce} Jobs in Heterogeneous Environments
Supporting real-time jobs on MapReduce systems is particularly challenging due to the
heterogeneity of the environment, the load imbalance caused by skewed data blocks, as …
heterogeneity of the environment, the load imbalance caused by skewed data blocks, as …
Enhancing genetic algorithms for dependent job scheduling in grid computing environments
G Falzon, M Li - The Journal of Supercomputing, 2012 - Springer
Abstract Genetic Algorithms (GAs) are stochastic search techniques based on principles of
natural selection and recombination that attempt to find optimal solutions in polynomial time …
natural selection and recombination that attempt to find optimal solutions in polynomial time …
[PDF][PDF] Research of the FP-Growth Algorithm Based on Cloud Environments.
L Zhou, X Wang - J. Softw., 2014 - jsoftware.us
The emergence of cloud computing solves the problems that traditional data mining
algorithms encounter when dealing with large data. This paper studies the FP-Growth …
algorithms encounter when dealing with large data. This paper studies the FP-Growth …
On a dynamic data placement strategy for heterogeneous hadoop clusters
Hadoop is one of the most popular distributed systems for big data computing in both
industry and science communities. The default data placement strategy of Hadoop …
industry and science communities. The default data placement strategy of Hadoop …
A MapReduce‐based parallel K‐means clustering for large‐scale CIM data verification
C Deng, Y Liu, L Xu, J Yang, J Liu… - Concurrency and …, 2016 - Wiley Online Library
Summary The Common Information Model (CIM) has been heavily used in electric power
grids for data exchange among a number of auxiliary systems such as communication …
grids for data exchange among a number of auxiliary systems such as communication …
A resource aware parallelized back propagation neural network in enabling efficient large-scale digital health data processing
Along with the development of digital health, efficient machine learning is anxiously needed
to handle the growing health data. Among various machine learning algorithms, back …
to handle the growing health data. Among various machine learning algorithms, back …
A sliding window‐based dynamic load balancing for heterogeneous Hadoop clusters
Y Liu, W **g, Y Liu, L Lv, M Qi… - … : Practice and Experience, 2017 - Wiley Online Library
At present MapReduce computing model‐based Hadoop framework has gradually become
the most famous distributed computing framework because of its remarkable features such …
the most famous distributed computing framework because of its remarkable features such …
Multicellular 4G and load balancing over cloud computing
LTE‐based Multicellular 4G is nowadays gaining an enormous success thanks to its flexible
core network features and its large data rate. As the number of users increases, along with …
core network features and its large data rate. As the number of users increases, along with …
[PDF][PDF] A survey: Particle swarm optimization-based algorithms for grid computing scheduling systems
Bio-inspired heuristics have been promising in solving complex scheduling optimization
problems. Several researches have been conducted to tackle the problems of task …
problems. Several researches have been conducted to tackle the problems of task …
Resource management techniques for multi-stage jobs with deadlines running on clouds
N Lim - 2017 - repository.library.carleton.ca
The objective of this thesis is to devise effective resource management techniques for
processing a workload comprising an open stream of multi-stage jobs on a distributed …
processing a workload comprising an open stream of multi-stage jobs on a distributed …