Results 71 to 80 of about 14,382 (202)
Research on Monte Carlo application based on Hadoop
ITM Web of Conferences, 2018 Monte Carlo method is also known as random simulation method. The more the number of experiments, the more accurate the results obtained. Therefore, a large number of random simulation is required in order to obtain a higher degree of accuracy, but the ...
Wu Minglei, Pan Jingchang
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Advancing anomaly detection in cloud environments with cutting‐edge generative AI for expert systems
Expert Systems, Volume 42, Issue 2, February 2025.Abstract As artificial intelligence (AI) continues to advance, Generative AI emerges as a transformative force, capable of generating novel content and revolutionizing anomaly detection methodologies. This paper presents CloudGEN, a pioneering approach to anomaly detection in cloud environments by leveraging the potential of Generative Adversarial ...
Umit Demirbaga
wiley +1 more source
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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The impact of Big Data Analytics on firm sustainable performance
Corporate Social Responsibility and Environmental Management, Volume 32, Issue 1, Page 1261-1278, January 2025.Abstract This study evaluates the impact of Big Data Analytics (BDA) on firm sustainable performance (FSP). BDA is conceptualized as a dual construct comprising predictive and prescriptive analytics, while FSP is considered from a triple bottom line (TBL) perspective comprising the economic, social, and environmental lines of firm performance.
Myriam Ertz +3 more
wiley +1 more source
OS-Assisted Task Preemption for Hadoop
, 2014 This work introduces a new task preemption primitive for Hadoop, that allows tasks to be suspended and resumed exploiting existing memory management mechanisms readily available in modern operating systems. Our technique fills the gap that exists between
Dell'Amico, Matteo +2 more
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IET Blockchain, Volume 5, Issue 1, January/December 2025.Grid computing is an emerging technology that enabled the heterogeneous collection of data and provisioning of services to the users. Due to the high amount of incoming heterogeneous request, grid computing needs an efficient scheduling to reduce execution time and satisfy service level agreement (SLA) and quality of service (QoS) requirements.
Gangasandra Mahadevaiah Kiran +1 more
wiley +1 more source
Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks
, 2017 Recently, due to rapid development of information and communication technologies, the data are created and consumed in the avalanche way. Distributed computing create preconditions for analyzing and processing such Big Data by distributing the ...
Alienin, Oleg +4 more
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IET Collaborative Intelligent Manufacturing, Volume 7, Issue 1, January/December 2025.This paper proposes a digital twin and big data‐based opti‐state control system (DTBD‐OsCS) to address challenges in production logistics systems caused by dynamic disturbances. By integrating predictive and adaptive opti‐state control strategies, along with big data analytics, the proposed system enables more informed optimisation decisions ...
Yongheng Zhang +4 more
wiley +1 more source
Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases
IEEE Access, 2018 Apache Hadoop is a widely used MapReduce framework for storing and processing large amounts of data. However, it presents some performance issues that hinder its utilization in many practical use cases.
Jorge Veiga +3 more
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Comparison of sort algorithms in Hadoop and PCJ
Journal of Big Data, 2020 Sorting algorithms are among the most commonly used algorithms in computer science and modern software. Having efficient implementation of sorting is necessary for a wide spectrum of scientific applications.
Marek Nowicki
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