Map-Reduce Task Scheduling Optimization Techniques: A Comparative Study

V Kumar, S Kushwaha - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Cloud computing is becoming popular because it offers the pay-as-per-use model with
business benefits of enhanced scalability, flexibility, mobility and reliability with cost …

Integrated Data, Task and Resource Management to Speed Up Processing Small Files in Hadoop Cluster.

S KS - International Journal of Intelligent Engineering & …, 2024 - search.ebscohost.com
Huge demand on business intelligence applications over large volume of enterprise data
has resulted in rapid adoption of High performance data analytics. Hadoop based high …

Layers based optimal privacy preservation of the on-premise data supported by the dual authentication and lightweight on fly encryption in cloud ecosystem

NP Hemanth Kumar, S Prabhudeva - Wireless Personal Communications, 2021 - Springer
Abstract The Big Data stored in the cloud-based clusters of nodes requires an efficient
mechanism to protect its privacy information. The traditional anonymization approach for …

RETRACTED ARTICLE: To improve user key security and cloud user region-based resource scheduler using rail fence region-based load balancing algorithm

U Udhayakumar, G Murugaboopathi - Journal of Ambient Intelligence and …, 2021 - Springer
Computer services, such as cloud computing and distributed computing, offer very low costs.
These services can be calculated in the form of hardware, operating system or application …

An Optimized Job Scheduling Mechanism for Mapreduce Framework Using DIW-WOA in Big Data

V Kumar, S Kushwaha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
For processing, storing, and managing huge amounts of data, big data has turned out to be
famous. The most popular map reduce programming model is the open-source Hadoop. It …

A fault-tolerance model for Hadoop rack-aware resource management system

T Moses, OJ Abiodun - Journal of Computer Science and …, 2023 - icsejournal.com
The central resource manager of Hadoop Yet Another Resource Manager (YARN) has
posed a major concern to big data analysis and exploration. The central arbiter is …

Research on Load Balancing MapReduce Equivalent Join Based on Intelligent Sampling and Multi Knapsack Algorithm

C Yang, J Yang, S Jia, X Chen… - Recent Advances in …, 2022 - ingentaconnect.com
Background: With the rapid development of science, more data is available to human
beings. Therefore, the storage and calculation of big data have become the focus of …

Метод збільшення продуктивності Apache Spark на основі сегментування даних і налаштувань конфігураційних параметрів

С Мінухін, Н Коптілов - СУЧАСНИЙ СТАН НАУКОВИХ …, 2024 - itssi-journal.com
Анотація У використанні сучасних інструментів оброблення великих даних виникає
проблема підвищення продуктивності сучасних фреймворків у контексті ефективного …