Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
[HTML][HTML] An efficient load balancing technique for task scheduling in heterogeneous cloud environment
Cloud computing will continue to play a critical role due to its ability to deliver various types
of on-demand information technology (IT) services according to customer needs …
of on-demand information technology (IT) services according to customer needs …
Design for dependability—State of the art and trends
This paper presents an overview of design for dependability as a process involving three
distinct but interrelated activities: risk analysis, risk mitigation, and risk assessment. Although …
distinct but interrelated activities: risk analysis, risk mitigation, and risk assessment. Although …
[HTML][HTML] Pseudo-cache-based IoT small files management framework in HDFS cluster
Abstract Internet of Things (IoT) devices are generating an enormous number of files that are
categorized into two types:(1) large files and (2) small files. Hadoop Distributed File System …
categorized into two types:(1) large files and (2) small files. Hadoop Distributed File System …
Optimal defense of a distributed data storage system against hackers' attacks
R Peng, H Xiao, J Guo, C Lin - Reliability Engineering & System Safety, 2020 - Elsevier
Distributed data storage systems are widely used to store data with the development of big
data and cloud computing. Due to the complicated network environment, the data may risk …
data and cloud computing. Due to the complicated network environment, the data may risk …
Dynamic replication policy on HDFS based on machine learning clustering
Data growth in recent years has been swift, leading to the emergence of big data science.
Distributed File Systems (DFS) are commonly used to handle big data, like Google File …
Distributed File Systems (DFS) are commonly used to handle big data, like Google File …
Mixed fragmentation technique for securing structured data using multi-cloud environment (MFT-SSD)
Large data storage security is a topic of great interest to researchers, particularly in the age
of big data where preserving data from theft, unauthorized access, and storage failure has …
of big data where preserving data from theft, unauthorized access, and storage failure has …
[PDF][PDF] Knowledge discovery in manufacturing datasets using data mining techniques to improve business performance
AG Shaaban, MH Khafagy, MA Elmasry… - Indones. J. Electr …, 2022 - researchgate.net
Recently due to the explosion in the data field, there is a great interest in the data science
areas such as big data, artificial intelligence, data mining, and machine learning. Knowledge …
areas such as big data, artificial intelligence, data mining, and machine learning. Knowledge …
[PDF][PDF] Design of a DFS to Manage Big Data in Distance Education Environments.
Information technologies have invaded every aspect of our lives. Distance education was
also affected by this phase and became an accepted model of education. The evolution of …
also affected by this phase and became an accepted model of education. The evolution of …
Research on parallel distributed clustering algorithm applied to cutting parameter optimization
X Wei, Q Sun, X Liu, C Yue, SY Liang… - The International Journal of …, 2022 - Springer
In the big data era, traditional data mining technology cannot meet the requirements of
massive data processing with the background of intelligent manufacturing. Aiming at …
massive data processing with the background of intelligent manufacturing. Aiming at …