An efficient query optimization technique in big data using -ANFIS load balancer and CaM-BW optimizer

D Kumar, VK Jha - The Journal of Supercomputing, 2021 - Springer
Big data (BD) is attaining major attention in the information field due to the eruption of data in
the preceding decade. Philosophical techniques of “query optimization (QO)” have an …

An improved query optimization process in big data using ACO-GA algorithm and HDFS map reduce technique

D Kumar, VK Jha - Distributed and Parallel Databases, 2021 - Springer
Storing as well as retrieving the data on a specific time frame is fundamental for any
application today. So an efficiently designed query permits the user to get results in the …

A review on recent trends in query processing and optimization in big data

D Kumar, VK Jha - Wireless Personal Communications, 2022 - Springer
The new generation of information technology is exchanging a huge data and these data
should be process for analytical and visualization purposes. In most of our daily activities we …

Query optimization in cloud environments: challenges, taxonomy, and techniques

A Sebaa, A Tari - The Journal of Supercomputing, 2019 - Springer
Improving query performance remains one of the most interesting and challenging goals for
both the academic and industrial communities. Indeed, cloud computing has complicated …

Efficient ELM‐based two stages query processing optimization for big data

L Ding, Y Liu, B Song, J Xin - Mathematical Problems in …, 2015 - Wiley Online Library
MapReduce and its variants have emerged as viable competitors for big data analysis with a
commodity cluster of machines. As an extension of MapReduce, ComMapReduce realizes …

Big data and query optimization techniques

A Chugh, VK Sharma, C Jain - Advances in Computing and Intelligent …, 2020 - Springer
With rise in new technologies like Big Data, Internet of Things, Sensor Networks, etc. new
query processing and optimization techniques have been evolved which handles the …

A Solution to Query Processing Challenges Through Smart Query Processor for Big Data Analytics

GM Vaidya, MM Kshirsagar - SN Computer Science, 2023 - Springer
Data generation and collection is a continuous process throughout the world. It is going to
be difficult to handle various challenges that arise because of various categories of data …

A framework for big data pre-processing and search optimization using HMGA-ACO: a hierarchical optimization approach

KV Rama Satish, NP Kavya - International Journal of Computers …, 2019 - Taylor & Francis
The huge potential associated with big data has prompted a developing research field that
has rapidly attracted huge enthusiasm from differing sectors. Unlike traditional databases …

[PDF][PDF] Big Data Query Optimization-Literature Survey

S Anuja, C Malathy - 2021 - pdfs.semanticscholar.org
In today's world, most of the private and public sector organizations deal with massive
amounts of raw data, which includes information and knowledge in their secret layer. In …

Magpie: Efficient Big Data Query System Parameter Optimization based on Pre-selection and Search Pruning Approach

R Gu, J Wei, X Wang, J Wang, H Dai… - 2023 IEEE/ACM 31st …, 2023 - ieeexplore.ieee.org
With the rapid development of big data technology, big data systems are more and more
used to process SQL query jobs. However, intricate big data system parameters have big …