Results 81 to 90 of about 9,555 (241)
Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools
Big Data Mining and Analytics, 2019 In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data.
Sunil Kumar, Maninder Singh
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Architecture design of coal mine data center based on Hadoop
Gong-kuang zidonghua, 2019 According to business requirements of coal mine safety production and development requirements of smart mine, the new coal mine data center needs to meet efficient processing, caching, calculation, storage and release of massive and multivariate data of ...
HAN An
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ATLAS: An Adaptive Failure-aware Scheduler for Hadoop [PDF]
arXiv, 2015 Hadoop has become the de facto standard for processing large data in today's cloud environment. The performance of Hadoop in the cloud has a direct impact on many important applications ranging from web analytic, web indexing, image and document processing to high-performance scientific computing.
arxiv
High-performance and high-concurrency encryption scheme for Hadoop platform
Tongxin xuebao, 2019 To address the problem that as preventing data leakage on Hadoop platform,the existing encryption schemes suffer from several problems (e.g.,single encryption algorithm,complicated key management,low encryption performance) and they cannot protect data ...
Wei JIN +4 more
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MASSIVE SIMULATIONS USING MAPREDUCE MODEL
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2015 In the last few years cloud computing is growing as a dominant solution for large scale numerical problems. It is based on MapReduce programming model, which provides high scalability and flexibility, but also optimizes costs of computing infrastructure.
Artur Krupa, Bartosz Sawicki
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Performance Issues of Heterogeneous Hadoop Clusters in Cloud Computing [PDF]
Global Journal of Computer Science and Technology, Volume XI Issue
VIII May 2011, 2012 Nowadays most of the cloud applications process large amount of data to provide the desired results. Data volumes to be processed by cloud applications are growing much faster than computing power. This growth demands new strategies for processing and analyzing information.
arxiv
Big data: modern approaches to storage and analysis
Труды Института системного программирования РАН, 2018 Big data challenged traditional storage and analysis systems in several new ways. In this paper we try to figure out how to overcome this challenges, why it's not possible to make it efficiently and describe three modern approaches to big data handling ...
Pavel Klemenkov, Sergey Kuznetsov
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A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics [PDF]
arXiv, 2018 Hadoop is emerging as the primary data hub in enterprises, and SQL represents the de facto language for data analysis. This combination has led to the development of a variety of SQL-on-Hadoop systems in use today. While the various SQL-on-Hadoop systems target the same class of analytical workloads, their different architectures, design decisions and ...
arxiv
Research on application of Hadoop in personnel positioning software system
Gong-kuang zidonghua, 2017 In order to solve the problem that existing personnel locating system can not meet large data access requirement of large-scale coal mines, Hadoop was proposed to be used in personnel positioning software system, and parallel computing model MapReduce ...
WANG Wei
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Hadoop Performance Models [PDF]
arXiv, 2011 Hadoop MapReduce is now a popular choice for performing large-scale data analytics. This technical report describes a detailed set of mathematical performance models for describing the execution of a MapReduce job on Hadoop. The models describe dataflow and cost information at the fine granularity of phases within the map and reduce tasks of a job ...
arxiv