[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …
challenge to communication architectures. To deal with this problem, communication …
Incentive-based distributed resource allocation for task offloading and collaborative computing in MEC-enabled networks
G Chen, Y Chen, Z Mai, C Hao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Computing tasks offloaded from user devices (UDs) can be carried out by one or more
mobile edge computing (MEC) servers to alleviate the computing burden of UDs. The …
mobile edge computing (MEC) servers to alleviate the computing burden of UDs. The …
ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments
Current cloud computing frameworks host millions of physical servers that utilize cloud
computing resources in the form of different virtual machines. Cloud Data Center (CDC) …
computing resources in the form of different virtual machines. Cloud Data Center (CDC) …
Optimized energy cost and carbon emission-aware virtual machine allocation in sustainable data centers
Cloud data center's total operating cost is conquered by electricity cost and carbon tax
incurred due to energy consumption from the grid and its associated carbon emission. In this …
incurred due to energy consumption from the grid and its associated carbon emission. In this …
A thermal-aware energy-efficient virtual machine placement algorithm based on fuzzy controlled binary gravitational search algorithm (FC-BGSA)
The remarkable growth of cloud computing applications has caused many data centers to
encounter unprecedented power consumption and heat generation. Cloud providers share …
encounter unprecedented power consumption and heat generation. Cloud providers share …
Latency and energy-aware load balancing in cloud data centers: A bargaining game based approach
With the rapid surge in cloud services, cloud load balancing has become a paramount
research issue. The major part of a cloud computing system's operational costs is attributed …
research issue. The major part of a cloud computing system's operational costs is attributed …
iThermoFog: IoT‐Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques
Preventing failures in Cloud Data Centers (CDCs) due to high temperatures is a key
challenge. Such centers have so many servers that it is very difficult to efficiently keep their …
challenge. Such centers have so many servers that it is very difficult to efficiently keep their …
Server temperature prediction using deep neural networks to assist thermal-aware scheduling
Thermal-Aware (TA) scheduling is a primitive thermal-management tool to avoid hotspots
and attain a better thermal profile inside data centers. However, TA scheduling depends on …
and attain a better thermal profile inside data centers. However, TA scheduling depends on …
A high-applicability heterogeneous cloud data centers resource management algorithm based on trusted virtual machine migration
B Liang, X Dong, Y Wang, X Zhang - Expert Systems with Applications, 2022 - Elsevier
With the continuous development and maturity of cloud computing technology, the scale and
number of cloud data center (CDC) are also expanding. This increasingly draws attention to …
number of cloud data center (CDC) are also expanding. This increasingly draws attention to …
A cache‐based approach toward improved scheduling in fog computing
Fog computing is a promising technique to reduce the latency and power consumption
issues of the Internet of Things (IoT) ecosystem by enabling storage and computational …
issues of the Internet of Things (IoT) ecosystem by enabling storage and computational …