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An Efficient Data Duplication System based on Hadoop Distributed File System
International Congress on Information and Communication Technology, 2020HDFS [Hadoop Distributed File System] a part of Apache Hadoop to store large data set consistently. HDFS is used for process Massive-Scale Data in parallel and it ensures accessibility of facts by replicating data to different nodes.
D. Veeraiah, J. Rao
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A Dynamic and Failure-Aware Task Scheduling Framework for Hadoop
IEEE Transactions on Cloud Computing, 2020Hadoop has become a popular framework for processing data-intensive applications in cloud environments. A core constituent of Hadoop is the scheduler, which is responsible for scheduling and monitoring the jobs and tasks, and rescheduling them in case of
Mbarka Soualhia +2 more
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A Critical Analysis of Apache Hadoop and Spark for Big Data Processing
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), 2021The emergence of big data processing platforms that can work globally in an integrated manner and process the huge datasets efficiently has become very significant.
Piyush Sewal, Hari Singh
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Proceedings of the VLDB Endowment, 2010
MapReduce is a computing paradigm that has gained a lot of attention in recent years from industry and research. Unlike parallel DBMSs, MapReduce allows non-expert users to run complex analytical tasks over very large data sets on very large clusters and clouds.
Jens Dittrich +5 more
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MapReduce is a computing paradigm that has gained a lot of attention in recent years from industry and research. Unlike parallel DBMSs, MapReduce allows non-expert users to run complex analytical tasks over very large data sets on very large clusters and clouds.
Jens Dittrich +5 more
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Apache Hadoop YARN: yet another resource negotiator
ACM Symposium on Cloud Computing, 2013The initial design of Apache Hadoop [1] was tightly focused on running massive, MapReduce jobs to process a web crawl. For increasingly diverse companies, Hadoop has become the data and computational agorá---the de facto place where data and ...
Vinod Kumar Vavilapalli +15 more
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Big data approach for sentiment analysis of twitter data using Hadoop framework and deep learning
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 2020Sentiment analysis acquired a great area of attention in the microblogging websites and analysis of sentiment is a practice of categorization and identification of opinions that are articulated as speech, text, database sources and tweets to detect if ...
Mudassir Khan, Aadarsh Malviya
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Microprocessors and microsystems, 2020
This article discusses the classification and research performance information properties. It also discusses construction and application of the Hadoop cloud computing platform.
Haiyun Zhu, Xu Yizhe
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This article discusses the classification and research performance information properties. It also discusses construction and application of the Hadoop cloud computing platform.
Haiyun Zhu, Xu Yizhe
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V-Hadoop: Virtualized Hadoop using containers
2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016MapReduce is a popular programming model used to process large amounts of data by exploiting parallelism. Open-source implementations of MapReduce such as Hadoop are generally best suited for large, homogeneous clusters of commodity machines. However, many businesses cannot afford to invest in such infrastructure and others are reluctant to use cloud ...
Srihari Radhakrishnan +2 more
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Hadoop-MCC: Efficient Multiple Compound Comparison Algorithm Using Hadoop
Combinatorial Chemistry & High Throughput Screening, 2018Aim and Objective: In the past decade, the drug design technologies have been improved enormously. The computer-aided drug design (CADD) has played an important role in analysis and prediction in drug development, which makes the procedure more economical and efficient.
Guan-Jie, Hua +2 more
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Performance Analysis of Distributed Computing Frameworks for Big Data Analytics: Hadoop Vs Spark
Journal of Computacion y Sistemas, 2020In the last one decade, the tremendous growth in data emphasizes big data storage and management issues with the highest priorities. For providing better support to software developers for dealing with big data problems, new programming platforms are ...
Shwet Ketu, P. K. Mishra, Sonali Agarwal
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