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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...
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MapReduce with Deep Learning Framework for Student Health Monitoring System using IoT Technology for Big Data
The efficient well-being and health interventions of students are ensured by better knowledge of student’s health and fitness factors. Effective...
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A MapReduce hybridized spotted hyena optimizer algorithm for travelling salesman problem
The Traveling Salesman (TSP) problem is one of the most common basic problems in the nondeterministic polynomial problems (NP-hard) category. TSP is...
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Adaptive-CSSA: adaptive-chicken squirrel search algorithm driven deep belief network for student stress-level and drop out prediction with MapReduce framework
Stress is correlated with various illnesses that include diabetes, depression, and other chronic diseases and plays an important role in the...
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MapReduce-based distributed tensor clustering algorithm
Cluster analysis is one of the most fundamental methods in data mining, and it has been widely used in economics, social sciences and computer...
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Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework
The main aim of an educational institute is to offer high-quality education to students. The system to achieve better quality in the educational...
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Parallel Fuzzy C-Means Clustering Based Big Data Anonymization Using Hadoop MapReduce
The amount of data on the internet is steadily growing due to recent technological advancements in cyber-physical-social systems, sensor networks,...
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A multi-threaded particle swarm optimization-kmeans algorithm based on MapReduce
The particle swarm optimization-K-Means algorithm is proposed by the related researchers to improve the clustering accuracy of the K-Means algorithm....
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An optimized SVM-RFE based feature selection and weighted entropy K-means approach for big data clustering in mapreduce
In the digitalized world, efficient big data clustering is necessary for massive data generation. The clustering algorithm plays an important role in...
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A MapReduce-based distributed and scalable framework for stitching of satellite mosaic images
Satellite mosaic images are of huge sizes and, therefore, the stitching process becomes time- and resource-consuming. To overcome this challenge, we...
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RETRACTED ARTICLE: Implementation of MapReduce parallel computing framework based on multi-data fusion sensors and GPU cluster
Nowadays, with the rapid growth of data volume, massive data has become one of the factors that plague the development of enterprises. How to...
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PDCNN-MRW: a parallel Winograd convolutional neural network algorithm base on MapReduce
Parallel deep convolutional neural network (DCNN) algorithms have been widely used in the field of big data, but there are still some problems:...
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Reinforcement learning based energy efficient resource allocation strategy of MapReduce jobs with deadline constraint
Big Data applications require more energy consumption to process a massive volume of data in a heterogeneous environment. Moreover, reducing energy...
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Graph partitioning MapReduce-based algorithms for counting triangles in large-scale graphs
Counting number of triangles in the graph is considered a major task in many large-scale graph analytics problems such as clustering coefficient,...
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IRPDP_HT2: a scalable data pre-processing method in web usage mining using Hadoop MapReduce
Data preparation is a vital step in the web usage mining process since it provides structured data for the subsequent stages. Hence, it is necessary...
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The Advance and Performance Analysis of MapReduce
Cloud computing is highly praised for its high data reliability, lower cost, and nearly unlimited storage. In cloud computing projects, the MapReduce...
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Assessment of Various MapReduce Scheduling in Heterogeneous Environment
There have been numerous developments in distributed and parallel computing over the past decade. A huge quantity of data is created every day from a...
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FCS-fuzzy net: cluster head selection and routing-based weed classification in IoT with mapreduce framework
Automatic weed classification is necessary to enhance the productivity of crops in weed management system. Major issue in agriculture is the control...
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CLQLMRS: improving cache locality in MapReduce job scheduling using Q-learning
Scheduling of MapReduce jobs is an integral part of Hadoop and effective job scheduling has a direct impact on Hadoop performance. Data locality is...
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Energy-Aware Heuristic Scheduling Using Bin Packing MapReduce Scheduler for Heterogeneous Workloads Performance in Big Data
Big data refers to diverse large data types from heterogeneous sources such as mobile devices, the web, social media, and the internet of things. The...
