Entropy and sigmoid based K-means clustering and AGWO for effective big data handling

R Vankdothu, MA Hameed, R Bhukya… - Multimedia Tools and …, 2023 - Springer
In this article, we have presented the effective handling of big data using adaptive clustering
and optimization techniques. Initially, heterogeneous data is collected from multiple sources …

A heuristic approach to improve the data processing in big data using enhanced Salp Swarm algorithm (ESSA) and MK-means algorithm

MR Sundarakumar, D Salangai Nayagi… - Journal of Intelligent …, 2023 - content.iospress.com
Improving data processing in big data is a delicate procedure in our current digital era due to
the massive amounts of data created by humans and machines in daily life. Handling this …

An optimal data placement strategy for improving system performance of massive data applications using graph clustering

S Vengadeswaran, SR Balasundaram - International Journal of …, 2018 - igi-global.com
This article describes how the time taken to execute a query and return the results, increase
exponentially as the data size increases, leading to more waiting times of the user. Hadoop …

Handling big data using a data-aware HDFS and evolutionary clustering technique

M Hajeer, D Dasgupta - IEEE Transactions on Big Data, 2017 - ieeexplore.ieee.org
The increased use of cyber-enabled systems and Internet-of-Things (IoT) led to a massive
amount of data with different structures. Most big data solutions are built on top of the …

Horizontal scaling enhancement for optimized big data processing

C Roy, K Barua, S Agarwal, M Pandey… - … Technologies in Data …, 2018 - Springer
Big Data, as we all know, is becoming a new technological trend in the industries, in science
and even businesses. Indefinite data scalability allows organizations to process huge …

Performance improvement of heterogeneous hadoop clusters using query optimization

P Dadheech, D Goyal, S Srivastava… - Proceedings of 3rd …, 2018 - papers.ssrn.com
The problem that has occurred as a result of the increased connection between the device
and the system is creating information at an exponential rate that it is becoming increasingly …

A literature review on Hadoop ecosystem and various techniques of big data optimization

VK Singh, M Taram, V Agrawal, BS Baghel - Advances in Data and …, 2018 - Springer
We are living in twenty-first century, and this century means for its faster work, accurate
analysis, highly processed data, and speed. This is the epoch of “Big data.” Big data is a …

A new adaptive hybrid mutation black widow clustering based data partitioning for big data analysis

S Ravikumar, D Kavitha - Wireless Personal Communications, 2021 - Springer
In recent years, big data plays a significant role in data storage development in high
demand. The big data consists of a large number of datasets and it becomes trouble in …

[PDF][PDF] Optimizing the performance of hadoop clusters through efficient cluster management techniques

KSS Bollamma, S Manishankar, MV Vishnu - Int J Eng Technol, 2018 - scholar.archive.org
The necessity for processing the huge data has become a critical task in the age of Internet,
even though data processing has evolved into a next generation level still data processing …

Hybrid gradient descent spider monkey optimization (HGDSMO) algorithm for efficient resource scheduling for big data processing in heterogenous environment

V Seethalakshmi, V Govindasamy, V Akila - Journal of Big Data, 2020 - Springer
Big Data constructed based on the advancement of distributed computing and virtualization
is considered as the current emerging trends in Data Analytics. It is used for supporting …