[HTML][HTML] A review on offloading in fog-based Internet of Things: Architecture, machine learning approaches, and open issues
There is an exponential increase in the number of smart devices, generating helpful
information and posing a serious challenge while processing this huge data. The processing …
information and posing a serious challenge while processing this huge data. The processing …
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …
confluence between Big Data technologies and bio-inspired computation. A manifold of …
The mediating role of supply chain management on the relationship between big data and supply chain performance using SCOR model
R Alshawabkeh, H Al-Awamleh… - Uncertain Supply …, 2022 - growingscience.com
Adopting the Supply Chain Operations Reference (SCOR) model, this study aims at
investigating the impact of big data (volume, velocity, variety, veracity, and value) on supply …
investigating the impact of big data (volume, velocity, variety, veracity, and value) on supply …
Hierarchical hybrid memory management in OS for tiered memory systems
The emerging hybrid DRAM-NVM architecture is challenging the existing memory
management mechanism at the level of the architecture and operating system. In this paper …
management mechanism at the level of the architecture and operating system. In this paper …
Benchmarking big data architectures for social networks data processing using public cloud platforms
When considering popular On-line Social Networks (OSN) containing heterogeneous
multimedia data sources, the complexity of the underlying processing systems becomes …
multimedia data sources, the complexity of the underlying processing systems becomes …
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
Due to the rapid growth of available data, various platforms offer parallel infrastructure that
efficiently processes big data. One of the critical issues is how to use these platforms to …
efficiently processes big data. One of the critical issues is how to use these platforms to …
Towards HPC and big data analytics convergence: Design and experimental evaluation of a HPDA framework for escience at scale
D Elia, S Fiore, G Aloisio - IEEE Access, 2021 - ieeexplore.ieee.org
Over the last two decades, scientific discovery has increasingly been driven by the large
availability of data from a multitude of sources, including high-resolution simulations …
availability of data from a multitude of sources, including high-resolution simulations …
[HTML][HTML] Are current benchmarks adequate to evaluate distributed transactional databases?
With the rapid development of distributed transactional databases in recent years, there is
an urgent need for fair performance evaluation and comparison. Though there are various …
an urgent need for fair performance evaluation and comparison. Though there are various …
A survey on data-driven performance tuning for big data analytics platforms
Many research works deal with big data platforms looking forward to data science and
analytics. These are complex and usually distributed environments, composed of several …
analytics. These are complex and usually distributed environments, composed of several …
A survey of big data archives in time-domain astronomy
The rise of big data has resulted in the proliferation of numerous heterogeneous data stores.
Even though multiple models are used for integrating these data, combining such huge …
Even though multiple models are used for integrating these data, combining such huge …