Results 21 to 30 of about 20,810 (198)
Jurnal Teknologi Informasi dan Ilmu Komputer, 2019 Apache Spark merupakan platform yang dapat digunakan untuk memproses data dengan ukuran data yang relatif besar (big data) dengan kemampuan untuk membagi data tersebut ke masing-masing cluster yang telah ditentukan konsep ini disebut dengan parallel ...
Aminudin Aminudin, Eko Budi Cahyono
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Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
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Deploying Apache Spark virtual clusters in cloud environments using orchestration technologies
Труды Института системного программирования РАН, 2018 Apache Spark is a framework providing fast computations on Big Data using MapReduce model. With cloud environments Big Data processing becomes more flexible since they allow to create virtual clusters on-demand. One of the most powerful open-source cloud
O. . Borisenko +2 more
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A distributed computing model for big data anonymization in the networks.
PLoS ONE, 2023 Recently big data and its applications had sharp growth in various fields such as IoT, bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous challenges to the architecture, infrastructure, and computing capacity of IT ...
Farough Ashkouti, Keyhan Khamforoosh
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Laurelin: Java-native ROOT I/O for Apache Spark [PDF]
EPJ Web of Conferences, 2021 Apache Spark[1] is one of the predominant frameworks in the big data space, providing a fully-functional query processing engine, vendor support for hardware accelerators, and performant integrations with scientific computing libraries. One difficulty in
Melo Andrew, Shadura Oksana
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Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study [PDF]
, 2016 Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems.
C Coello +9 more
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Privacy-Preserving Machine Learning on Apache Spark
IEEE Access, 2023 The adoption of third-party machine learning (ML) cloud services is highly dependent on the security guarantees and the performance penalty they incur on workloads for model training and inference.
Claudia V. Brito +4 more
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Performance Analysis of the Distributed Support Vector Machine Algorithm Using Spark for Predicting Flight Delays [PDF]
E3S Web of Conferences, 2023 In big data analysis requires powerful machine learning frameworks, strategies, and environments to analyze data at scale. Therefore, Apache Spark is used as a cluster computing framework to process big data in parallel and can run on multiple clusters ...
Khotimah Husnul +4 more
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Alchemist: An Apache Spark ⇔ MPI interface [PDF]
Concurrency and Computation: Practice and Experience, 2018 SummaryThe Apache Spark framework for distributed computation is popular in the data analytics community due to its ease of use, but its MapReduce‐style programming model can incur significant overheads when performing computations that do not map directly onto this model. One way to mitigate these costs is to off‐load computations onto MPI codes.
Alex Gittens +8 more
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Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia
Jurnal Teknologi Informasi dan Ilmu Komputer, 2022 Machine learning digunakan untuk menganalisis, mengklasifikasikan, atau memprediksi data. Untuk melakukan tugas dari machine learning diperlukan alat bantu dengan kinerja serta lingkungan yang kuat demi mendapatkan akurasi dan efisiensi waktu yang baik.
Antonius Angga Kurniawan +1 more
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