A platform approach to smart farm information processing

M Amiri-Zarandi, M Hazrati Fard, S Yousefinaghani… - Agriculture, 2022 - mdpi.com
With the rapid growth of population and the increasing demand for food worldwide,
improving productivity in farming procedures is essential. Smart farming is a concept that …

Challenges and solutions for processing real-time big data stream: a systematic literature review

E Mehmood, T Anees - IEEE Access, 2020 - ieeexplore.ieee.org
Contribution: Recently, real-time data warehousing (DWH) and big data streaming have
become ubiquitous due to the fact that a number of business organizations are gearing up to …

[HTML][HTML] An approach for SDN traffic monitoring based on big data techniques

W Queiroz, MAM Capretz, M Dantas - Journal of Network and Computer …, 2019 - Elsevier
Software-defined networking overcomes the limitations of traditional networks by splitting the
control plane from the data plane. The logic of the network is moved to a component called …

A review on big data real-time stream processing and its scheduling techniques

N Tantalaki, S Souravlas… - International Journal of …, 2020 - Taylor & Francis
Over the last decade, several interconnected disruptions have happened in the large scale
distributed and parallel computing landscape. The volume of data currently produced by …

A synthesis of big data definition and characteristics

M Al-Mekhlal, AA Khwaja - 2019 IEEE international conference …, 2019 - ieeexplore.ieee.org
Today, big data is considered an important area in IT and business fields. Big data is the
driving force behind the effective running and competitiveness of several companies and …

[HTML][HTML] Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs

M Usama, M Liu, M Chen - Digital Communications and Networks, 2017 - Elsevier
At present, big data is very popular, because it has proved to be much successful in many
fields such as social media, E-commerce transactions, etc. Big data describes the tools and …

Real-time processing of big data streams: Lifecycle, tools, tasks, and challenges

F Gürcan, M Berigel - 2018 2nd International Symposium on …, 2018 - ieeexplore.ieee.org
In today's technological environments, the vast majority of big data-driven applications and
solutions are based on real-time processing of streaming data. The real-time processing and …

PhysOnline: an open source machine learning pipeline for real-time analysis of streaming physiological waveform

JR Sutton, R Mahajan, O Akbilgic… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Real-time analysis of streaming physiological data to identify earlier abnormal conditions is
an important aspect of precision medicine. However, open-source systems supporting this …

[PDF][PDF] Big data streaming platforms: A review

H Kumar, PJ Soh, MA Ismail - Iraqi Journal for Computer Science and …, 2022 - iasj.net
Yesterday's “Big Data” is today's “data.” As technology advances, new difficulties and new
solutions emerge. In recent years, as a result of the development of Internet of Things (IoT) …

[PDF][PDF] A literature review on NoSQL database for big data processing

MR Ahmed, MA Khatun, A Ali, K Sundaraj - Int. J. Eng. Technol, 2018 - researchgate.net
Objective: Aim of the present study was to literature review on the NoSQL Database for Big
Data processing including the structural issues and the real-time data mining techniques to …