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 …
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 …
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 …
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RETRACTED ARTICLE: To improve user key security and cloud user region-based resource scheduler using rail fence region-based load balancing algorithm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 …
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
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 …
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 …
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 …
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 …
проблема підвищення продуктивності сучасних фреймворків у контексті ефективного …