Results 81 to 90 of about 10,108 (225)
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
A privacy-preserving parallel and homomorphic encryption scheme
Open Physics, 2017 In order to protect data privacy whilst allowing efficient access to data in multi-nodes cloud environments, a parallel homomorphic encryption (PHE) scheme is proposed based on the additive homomorphism of the Paillier encryption algorithm. In this paper
Min Zhaoe, Yang Geng, Shi Jingqi
doaj +1 more source
An alternative C++-based HPC system for Hadoop MapReduce
Open Computer Science, 2022 MapReduce (MR) is a technique used to improve distributed data processing vastly and can massively speed up computation. Hadoop and MR rely on memory-intensive JVM and Java. A MR framework based on High-Performance Computing (HPC) could be used, which is
Srinivasakumar Vignesh +3 more
doaj +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
Green Master based on MapReduce Cluster [PDF]
, 2013 MapReduce is a kind of distributed computing system, and also many people use it nowadays. In this paper, the Green Master based on MapReduce is proposed to solve the problem between load balance and power saving.
Wu, Ming-Zhi; Lin, Yu-Chang; Lee, Wei-Tsong; Lin, Yu-Sun; Liu, Fong-Hao
core
A post‐translocation genetic analysis of an endemic wingless grasshopper in urban environments
Conservation Science and Practice, Volume 7, Issue 10, October 2025.Translocations are increasingly used in conservation, yet invertebrate outcomes remain understudied. This study assessed genetic diversity in a recently translocated flightless grasshopper (Vandiemenella viatica), finding declines in heterozygosity and nucleotide diversity, alongside increased homozygosity in the F2 generation.
Hiromi Yagui +3 more
wiley +1 more source
On the Computational Complexity of MapReduce [PDF]
, 2015 In this paper we study MapReduce computations from a complexity-theoretic perspective. First, we formulate a uniform version of the MRC model of Karloff et al. (2010). We then show that the class of regular languages, and moreover all of sublogarithmic space, lies in constant round MRC. This result also applies to the MPC model of Andoni et al. (2014).
Benjamin Fish +4 more
openaire +2 more sources
Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1118-1134, August 2025.ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi +6 more
wiley +1 more source
MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data
ISPRS International Journal of Geo-Information, 2019 The conventional extracting−transforming−loading (ETL) system is typically operated on a single machine not capable of handling huge volumes of geospatial big data.
Junghee Jo, Kang-Woo Lee
doaj +1 more source