IEEE Access, 2018 In this paper, we discuss some challenges regarding the Hadoop framework. One of the main ones is the computing performance of Hadoop MapReduce jobs in terms of CPU, memory, and hard disk I/O. The networking side of a Hadoop cluster is another challenge,
Ali Khaleel, Hamed Al-Raweshidy
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Studi Perbandingan Performa Algoritma Penjadwalan untuk Real Time Data Twitter pada Hadoop
Komputika, 2020 Hadoop merupakan sebuah framework software yang bersifat open source dan berbasis java. Hadoop terdiri atas dua komponen utama, yaitu MapReduce dan Hadoop Distributed File System (HDFS).
Sidik Prabowo, Maman Abdurohman
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Hadoop Performance Analysis Model with Deep Data Locality
Information, 2019 Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance ...
Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
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CloudDOE: a user-friendly tool for deploying Hadoop clouds and analyzing high-throughput sequencing data with MapReduce. [PDF]
PLoS ONE, 2014 BackgroundExplosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis.
Wei-Chun Chung +9 more
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Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective [PDF]
PeerJ Computer Science, 2020 Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage.
Gayatri Kapil +5 more
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Sentiment Analysis on Hadoop with Hadoop Streaming
International Journal of Computer Applications, 2015 Ideas and opinions of peoples are influenced by the opinions of other peoples. Lot of research is going on analysis of reviews given by peoples. Sentiment analysis is the major computational technique to calculate or observe sentiments of people’s thoughts.
Girdhar Gopal +2 more
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OEHadoop: Accelerate Hadoop Applications by Co-Designing Hadoop With Data Center Network
IEEE Access, 2018 Big data applications in Hadoop usually cause heavy bandwidth demand and network bottleneck in the current data center network (DCN). On one hand, the design of DCN does not take the traffic demand and the traffic patterns of Hadoop applications into ...
Yinan Tang +7 more
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Optimised Transformation Algorithm For Hadoop Data Loading in Web ETL Framework [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Web ETL unlike conventional ETL framework requires considerable improvements in all the three layers i.e. Extraction, Transformation and Loading due to the inherent nature of web input data.
Gaurav Gupta +2 more
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An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks
International Journal of Distributed Sensor Networks, 2014 Owing to the acceleration of IoT- (Internet of Things-) based wireless sensor networks, cloud-computing services using Big Data are rapidly growing. In order to manage and analyze Big Data efficiently, Hadoop frameworks have been used in a variety of ...
Byoung-Jin Bae +4 more
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A Blockchain-Enabled Framework for Controlled Access to Cluster Resources [PDF]
Journal of Universal Computer SciencePurpose: Big data applications enable organizations to derive actionable insights that inform strategic decision making and enhance operational efficiency in real time.
Kausthav Pratim Kalita +2 more
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