Energy efficiency in cloud computing data centers: a survey on software technologies
Cloud computing is a commercial and economic paradigm that has gained traction since
2006 and is presently the most significant technology in IT sector. From the notion of cloud …
2006 and is presently the most significant technology in IT sector. From the notion of cloud …
An optimal least square support vector machine based earnings prediction of blockchain financial products
The booming applications of bitcoin Blockchain technologies made investors concerned
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …
Multi-dimensional resource allocation in distributed data centers using deep reinforcement learning
W Wei, H Gu, K Wang, J Li, X Zhang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
With the development of edge-cloud computing technologies, distributed data centers (DCs)
have been extensively deployed across the global Internet. Since different …
have been extensively deployed across the global Internet. Since different …
Energy-net: a deep learning approach for smart energy management in iot-based smart cities
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Although intelligent load forecasting is essential for optimal energy management (EM) in
smart cities, there is a lack of current research exploring EM in well-regulated Internet-of …
smart cities, there is a lack of current research exploring EM in well-regulated Internet-of …
On the latency, rate, and reliability tradeoff in wireless networked control systems for IIoT
Wireless networked control systems (WNCSs) provide a key enabling technique for
Industrial Internet of Things (IIoT). However, in the literature of WNCSs, most of the research …
Industrial Internet of Things (IIoT). However, in the literature of WNCSs, most of the research …
Optimized hierarchical tree deep convolutional neural network of a tree-based workload prediction scheme for enhancing power efficiency in cloud computing
T Selvan Chenni Chetty, V Bolshev… - Energies, 2023 - mdpi.com
Workload prediction is essential in cloud data centers (CDCs) for establishing scalability and
resource elasticity. However, the workload prediction accuracy in the cloud data center …
resource elasticity. However, the workload prediction accuracy in the cloud data center …
Interoperable IoMT approach for remote diagnosis with privacy-preservation perspective in edge systems
EVD Subramaniam, K Srinivasan, SM Qaisar… - Sensors, 2023 - mdpi.com
The emergence of the Internet of Medical Things (IoMT) has brought together developers
from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient …
from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient …
A reliable data-transmission mechanism using blockchain in edge computing scenarios
With the advent of the Internet-of-Things (IoT) era, more and more devices are connected to
the IoT. Under the traditional cloud-thing centralized management mode, the transmission of …
the IoT. Under the traditional cloud-thing centralized management mode, the transmission of …
Multi-task learning for electricity price forecasting and resource management in cloud based industrial IoT systems
AA Almazroi, N Ayub - IEEE Access, 2023 - ieeexplore.ieee.org
Cloud computing has gained immense popularity in the logistics industry. This innovative
technology optimizes computing operations by eliminating the requirement for physical …
technology optimizes computing operations by eliminating the requirement for physical …
Cross-layer adaptive multipath routing for multimedia wireless sensor networks under duty cycle mode
Abstract Multimedia transport over Wireless Sensor Networks (WSN) has been a
challenging task due to the limited available resources of such networks. The capability of …
challenging task due to the limited available resources of such networks. The capability of …