Orchestrating big data analysis workflows in the cloud: research challenges, survey, and future directions
Interest in processing big data has increased rapidly to gain insights that can transform
businesses, government policies, and research outcomes. This has led to advancement in …
businesses, government policies, and research outcomes. This has led to advancement in …
A survey of data partitioning and sampling methods to support big data analysis
Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …
for big data processing and analysis. In cluster computing, data partitioning and sampling …
[HTML][HTML] A classification framework for straggler mitigation and management in a heterogeneous Hadoop cluster: A state-of-art survey
Hadoop is the most economical and cheap software framework that allows distributed
storage and parallel processing of more extensive data sets. Hadoop distributed file system …
storage and parallel processing of more extensive data sets. Hadoop distributed file system …
Data locality-aware and QoS-aware dynamic cloud workflow scheduling in Hadoop for heterogeneous environment
F Ding, M Ma - International Journal of Web and Grid …, 2023 - inderscienceonline.com
Hadoop has become a popular data-parallel computing framework for data-intensive
scientific applications in recent years. Most scientific applications employ workflows to …
scientific applications in recent years. Most scientific applications employ workflows to …
Intelligent data compression policy for Hadoop performance optimization
A Ashu, MW Hussain, D Sinha Roy… - Proceedings of the 11th …, 2021 - Springer
Hadoop can deal with Zeta-level data, but the huge request for Disk I/O and Network
utilization often appears as the limitations in Hadoop. During different job execution phases …
utilization often appears as the limitations in Hadoop. During different job execution phases …
A counter based approach for reducer placement with augmented Hadoop rackawareness
MW Hussain, KH REDDY… - Turkish Journal of …, 2021 - journals.tubitak.gov.tr
As the data-driven paradigm for intelligent systems design is gaining prominence,
performance requirements have become very stringent, leading to numerous fine-tuned …
performance requirements have become very stringent, leading to numerous fine-tuned …
Modeling and assessing reliability of service-oriented internet of things
In recent years, technological innovations in the fields of sensing, computing, and
communication have seen unprecedented advancements. Particularly, the explosive …
communication have seen unprecedented advancements. Particularly, the explosive …
Intelligent data placement in heterogeneous hadoop cluster
The MapReduce programming model and Hadoop has become the de facto standard for
data-intensive applications. Hadoop tasks are mapped to certain nodes within the Hadoop …
data-intensive applications. Hadoop tasks are mapped to certain nodes within the Hadoop …
A counter-based profiling scheme for improving locality through data and reducer placement
MW Hussain, DS Roy - Advances in Machine Learning for Big Data …, 2022 - Springer
Hadoop has been regarded as the de-facto standard for handling data-intensive distributed
applications with its popular storage and processing engine called as the Hadoop …
applications with its popular storage and processing engine called as the Hadoop …
Enabling indirect link discovery between SDN switches
MW Hussain, D Sinha Roy - … of the International Conference on Computing …, 2021 - Springer
The removal of the control plane from a Software Defined Network (SDN) helps avoid
flexibility issues that exist in the traditional networks thus enabling SDN to leverage more …
flexibility issues that exist in the traditional networks thus enabling SDN to leverage more …