Collaborative learning based straggler prevention in large‐scale distributed computing framework

S Deshmukh, K Thirupathi Rao… - Security and …, 2021 - Wiley Online Library
Modern big data applications tend to prefer a cluster computing approach as they are linked
to the distributed computing framework that serves users jobs as per demand. It performs …

Проектирование системы обнаружения вторжений для информационной сети с использованием больших данных

АВ Красов, ДВ Сахаров, АА Тасюк - Наукоемкие технологии в …, 2020 - cyberleninka.ru
Информационные технологии способны позволить современному человеку
обрабатывать большой объем данных, сделать иерархическую систематизацию, а …

A comparative investigation on the use of cloud computing for big data analytics

WC Lew, ME Rana, VA Hameed - 2022 16th International …, 2022 - ieeexplore.ieee.org
Big data is working hand in hand with cloud computing. Cloud computing can enable real-
time processing and analysis at a bigger scale and efficiently. This paper aims to understand …

[PDF][PDF] A hybrid scheme based on Big Data analytics using intrusion detection system

S Akbar, TS Rao, MA Hussain - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objective: Network security plays a key role for many organizations. Host based and network
based Intrusion Detection Systems are available in the market depending upon the …

Mecanismos para el procesamiento de big data. Limpieza, transformación y análisis de Datos

ROM Valdiviezo, OAL Gorozabel… - Polo del …, 2023 - polodelconocimiento.com
Actualmente, la masificación de información en Internet, ha provocado el desarrollo de
nuevas herramientas de análisis, por lo que se ha vuelto indispensable la adquisición de …

[PDF][PDF] STUDY OF DATA INGESTION TOOLS

R Yadav, YK Sharma, R Patil - researchgate.net
With the development of information technology, business intelligence is playing a vital role,
so the data used for business intelligence is accumulated from different tools such as kafka …

Redblock: a tool for online deduplication on large datasets

LF Pimentel, IL Vicente, G Dal Bianco - Revista Brasileira de …, 2017 - seer.upf.br
Online data deduplication aims to identify records that represent the same purpose on a
continuous data flow environment. It must be able to process a range of information with …

[PDF][PDF] Research Article Collaborative Learning Based Straggler Prevention in Large-Scale Distributed Computing Framework

S Deshmukh, KT Rao, M Shabaz - 2021 - academia.edu
Modern big data applications tend to prefer a cluster computing approach as they are linked
to the distributed computing framework that serves users jobs as per demand. It performs …

Проектирование системы обнаружения вторжений для мониторинга систем 5G с использованием больших данных

ТО Гамидов, АА Тасюк - … инфраструктуры для сетей 5G/IMT 2020 и для …, 2019 - elibrary.ru
Установлено, что внедрение технологии Больших данных в современном мире
является обязательным условием с целью развития лидирующих позиций в сфере …

Real-Time Anomaly Detection Using Clustering in Big Data Technologies

RAA Habeeb - 2019 - search.proquest.com
The advent of connected devices and omnipresence of Internet have paved way for
intruders to attack networks, which leads to cyber-attack, financial loss, information theft and …