Results 41 to 50 of about 14,382 (202)
Efficient and Reliable Hybrid Cloud Architechture for Big Data
, 2013 The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for handling huge data. In our prototype system we considered national ID database structure of Bangladesh which is prepared by election commission of ...
Ahmed, Nova, Tarannum, Narzu
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Computational Strategies for Scalable Genomics Analysis. [PDF]
, 2019 The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in genomics, posing a significant challenge to the computing infrastructure and software algorithms for genomics analysis.
Shi, Lizhen, Wang, Zhong
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Improvement of Kafka Streaming Using Partition and Multi-Threading in Big Data Environment
Sensors, 2019 The large amount of programmable logic controller (PLC) sensing data has rapidly increased in the manufacturing environment. Therefore, a large data store is necessary for Big Data platforms.
Bunrong Leang +3 more
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FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy
BMC Bioinformatics, 2021 Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for ...
Umberto Ferraro Petrillo +3 more
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SPARQL2Flink: Evaluation of SPARQL Queries on Apache Flink
Applied Sciences, 2021 Existing SPARQL query engines and triple stores are continuously improved to handle more massive datasets. Several approaches have been developed in this context proposing the storage and querying of RDF data in a distributed fashion, mainly using the ...
Oscar Ceballos +4 more
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, 2016 Current market tendencies show the need of storing and processing rapidly growing amounts of data. Therefore, it implies the demand for distributed storage and data processing systems.
Kaluzka, Justyna
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Design Architecture-Based on Web Server and Application Cluster in Cloud Environment
, 2014 Cloud has been a computational and storage solution for many data centric organizations. The problem today those organizations are facing from the cloud is in data searching in an efficient manner.
Annappa, Shah, Gita, Shet, K. C.
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AI‐driven perception management and political soft power: Insights from expert interviews
AI Magazine, Volume 47, Issue 1, Spring 2026.Abstract This study explores the role of artificial intelligence (AI) in perception management as an emerging tool of political soft power. Drawing on the theoretical frameworks of social psychology, strategic communication, and political communication, the research investigates how AI‐assisted strategies influence public perception, image, and trust ...
Özkul Haraç, Ayhan Dolunay
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A Multi‐Layered Analysis of Energy Consumption in Spark
Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.ABSTRACT Although energy has become a major concern in data processing systems, it is usually hard to get a deep understanding of how performance and energy consumption relate to each other when planning how to configure a computing environment to execute a specific data‐oriented workload.
Nestor D. O. Volpini +2 more
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Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE
Journal of Applied Informatics and ComputingIn today’s rapidly evolving information technology landscape, managing and analyzing big data has become one of the most significant challenges. This paper explores the implementation of two major frameworks for big data processing: Hadoop MapReduce and ...
Firmania Dwi Utami, Femi Dwi Astuti
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