Results 91 to 100 of about 54,414 (244)
MapReduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail! [PDF]
, 2012 Hadoop is currently the large-scale data analysis "hammer" of choice, but there exist classes of algorithms that aren't "nails", in the sense that they are not particularly amenable to the MapReduce programming model.
Lin, Jimmy
core +1 more source
Multi‐Omics‐Augmented GWAS for Crop Improvement: From Mechanisms to Breeding
Modern Agriculture, Volume 3, Issue 2, December 2025.This review presents an integrated framework that synergises multi‐omics with GWAS and machine learning to decode the genetic basis of complex agronomic traits, bridging biological discovery to precision breeding for climate‐resilient crops. ABSTRACT Global food security demands innovative strategies to enhance crop resilience and productivity amidst ...
Naimatullah Mangi +17 more
wiley +1 more source
Large-scale e-learning recommender system based on Spark and Hadoop
Journal of Big Data, 2019 The present work is a part of the ESTenLigne project which is the result of several years of experience for developing e-learning in Sidi Mohamed Ben Abdellah University through the implementation of open, online and adaptive learning environment ...
Karim Dahdouh +3 more
semanticscholar +1 more source
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture [PDF]
, 2012 We present the architecture behind Twitter's real-time related query suggestion and spelling correction service. Although these tasks have received much attention in the web search literature, the Twitter context introduces a real-time "twist": after ...
Dalton, Jeff +4 more
core
A Systematic Overview of Caching Mechanisms to Improve Hadoop Performance
Concurrency and Computation: Practice and Experience, Volume 37, Issue 25-26, 30 November 2025.ABSTRACT In today's distributed computing environments, the rapid generation of large‐scale data from diverse sources poses significant challenges in terms of storage, management, and processing, particularly for traditional relational databases. Hadoop has emerged as a widely adopted framework for handling such data through parallel processing across ...
Rana Ghazali, Douglas G. Down
wiley +1 more source
Computational Intelligence and Neuroscience, 2018 The Canny operator is widely used to detect edges in images. However, as the size of the image dataset increases, the edge detection performance of the Canny operator decreases and its runtime becomes excessive.
Jianfang Cao +3 more
semanticscholar +1 more source
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
doaj +2 more sources
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
core +1 more source
A Pattern‐Referencing Model for Hourly Temperature Forecasting in Coastal Regions
Meteorological Applications, Volume 32, Issue 6, November/December 2025.A novel pattern‐referencing model forecasts hourly temperatures in Taiwan's southwestern coastal region. It robustly handles missing data, achieving high accuracy (MAE 0.323°C–0.539°C, RMSE 0.450°C–0.807°C) even during extreme weather, offering a practical solution for real‐time decision‐making.
Nan‐Jing Wu, Fan‐Hua Nan
wiley +1 more source
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
doaj +1 more source