A review of data centers energy consumption and reliability modeling
KMU Ahmed, MHJ Bollen, M Alvarez - IEEE access, 2021 - ieeexplore.ieee.org
Enhancing the efficiency and the reliability of the data center are the technical challenges for
maintaining the quality of services for the end-users in the data center operation. The energy …
maintaining the quality of services for the end-users in the data center operation. The energy …
[HTML][HTML] Fog computing enabling industrial internet of things: State-of-the-art and research challenges
Industry is going through a transformation phase, enabling automation and data exchange
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …
[HTML][HTML] The impact of green technology, environmental tax and natural resources on energy efficiency and productivity: Perspective of OECD Rule of Law
OECD countries are at the forefront of sustainable development and working in several
domains, including energy efficiency, environmental taxes, and the development of green …
domains, including energy efficiency, environmental taxes, and the development of green …
Taxonomy on EEG artifacts removal methods, issues, and healthcare applications
Electroencephalogram (EEG) signals are progressively growing data widely known as
biomedical big data, which is applied in biomedical and healthcare research. The …
biomedical big data, which is applied in biomedical and healthcare research. The …
Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study
Fog computing (FC) and Internet of Everything (IoE) are two emerging technological
paradigms that, to date, have been considered standing-alone. However, because of their …
paradigms that, to date, have been considered standing-alone. However, because of their …
Energy-efficient adaptive resource management for real-time vehicular cloud services
M Shojafar, N Cordeschi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Providing real-time cloud services to Vehicular Clients (VCs) must cope with delay and
delay-jitter issues. Fog computing is an emerging paradigm that aims at distributing small …
delay-jitter issues. Fog computing is an emerging paradigm that aims at distributing small …
Big data analysis based network behavior insight of cellular networks for industry 4.0 applications
D Jiang, Y Wang, Z Lv, S Qi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this article, we propose a big data based analysis framework to analyze and extract
network behaviors in cellular networks for Industry 4.0 applications from a big data …
network behaviors in cellular networks for Industry 4.0 applications from a big data …
Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis
This paper uses big data technologies to study base stations' behaviors and activities and
their predictability in mobile cellular networks. With new technologies quickly appearing …
their predictability in mobile cellular networks. With new technologies quickly appearing …
Biobjective task scheduling for distributed green data centers
The industry of data centers is the fifth largest energy consumer in the world. Distributed
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections
E Kušen, M Strembeck - Online Social Networks and Media, 2018 - Elsevier
In this paper, we provide a sentiment analysis of the Twitter discussion on the 2016 Austrian
presidential elections. In particular, we extracted and analyzed a data-set consisting of …
presidential elections. In particular, we extracted and analyzed a data-set consisting of …