Results 61 to 70 of about 8,758 (210)
IET Software, Volume 2025, Issue 1, 2025.The rapid expansion of the cloud service industry has raised the critical challenge of ensuring efficient job allocation and trust within a backdrop of heightened privacy concerns. Existing models often struggle to achieve an optimal balance between these factors, particularly in dynamic cloud environments.
Himani Saini +9 more
wiley +1 more source
Experimenting sensitivity-based anonymization framework in apache spark
Journal of Big Data, 2018 One of the biggest concerns of big data and analytics is privacy. We believe the forthcoming frameworks and theories will establish several solutions for the privacy protection.
Mohammed Al-Zobbi +2 more
doaj +1 more source
Procedia Computer Science, 2013 AbstractRecent innovations in Big Data have enabled major strides forward in our ability to glean important insights from massive amounts of data, and to use these insights to make better decisions. Underlying many of these innovations is a computational paradigm known as MapReduce, which enables computational processes to be scaled up to very large ...
openaire +1 more source
IET Smart Cities, Volume 7, Issue 1, January/December 2025.This article explores the security challenges of authentication, authorisation, and access control (AAA) in smart city ecosystems, where collaborative smart services aim to enhance urban living. Through a systematic literature review (2017–2024), it evaluates emerging technologies like blockchain, AI, and quantum computing, focusing on their ability to
Usama Antuley +3 more
wiley +1 more source
IEEE Access, 2018 In this paper, we discuss some challenges regarding the Hadoop framework. One of the main ones is the computing performance of Hadoop MapReduce jobs in terms of CPU, memory, and hard disk I/O. The networking side of a Hadoop cluster is another challenge,
Ali Khaleel, Hamed Al-Raweshidy
doaj +1 more source
Big data: modern approaches to storage and analysis
Труды Института системного программирования РАН, 2018 Big data challenged traditional storage and analysis systems in several new ways. In this paper we try to figure out how to overcome this challenges, why it's not possible to make it efficiently and describe three modern approaches to big data handling ...
Pavel Klemenkov, Sergey Kuznetsov
doaj +1 more source
Machine Learning Privacy Aware Anonymization Using MapReduce Based Neural Network [PDF]
, 2021 U. Selvi, S. Pushpa
openalex +1 more source
mRNAs of plants and green algae lack the m7G cap‐1 structure
New Phytologist, Volume 246, Issue 2, Page 396-401, April 2025.
Chen Xiao +7 more
wiley +1 more source
Finding Top- $k$ Dominance on Incomplete Big Data Using MapReduce Framework
IEEE Access, 2018 Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes large.
Payam Ezatpoor +3 more
doaj +1 more source
Proceedings of the 7th International Conference on Security of Information and Networks, 2014 MapReduce is a new parallel programming paradigm proposedto process large amount of data in a distributed setting.Since its introduction, there have been efforts to improvethe architecture of this model making it more efficient,secure and scalable. In parallel with these developments,there are also efforts to implement and deploy MapReduce,and one of ...
Zhang, Ning, Lahmer, Ibrahim
openaire +2 more sources