[HTML][HTML] A review of optimization methods for computation offloading in edge computing networks
Handling the massive amount of data generated by Smart Mobile Devices (SMDs) is a
challenging computational problem. Edge Computing is an emerging computation paradigm …
challenging computational problem. Edge Computing is an emerging computation paradigm …
[HTML][HTML] Internet of things: Conceptual network structure, main challenges and future directions
Abstract Internet of Things (IoT) is a key technology trend that supports our digitalized
society in applications such as smart countries and smart cities. In this study, we investigate …
society in applications such as smart countries and smart cities. In this study, we investigate …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
Stochastic optimization-aided energy-efficient information collection in internet of underwater things networks
In the face of deeply exploring and exploiting marine resources, the Internet of Underwater
Things (IoUT) networks have drawn great attention considering its widely distributed low …
Things (IoUT) networks have drawn great attention considering its widely distributed low …
[HTML][HTML] Pervasive intelligent endogenous 6G wireless systems: Prospects, theories and key technologies
The worldwide large-scale commercial deployment of 5G has commenced in 2020 for
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …
MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …
Urllc-awared resource allocation for heterogeneous vehicular edge computing
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
E-learning based on cloud computing
W Wu, A Plakhtii - … Journal of Emerging Technologies in Learning …, 2021 - learntechlib.org
Modern technological paradigms of learning give educators an ability to support the
development of highly professional human resources. For this reason, teachers of higher …
development of highly professional human resources. For this reason, teachers of higher …
Average Response Time (ART): Real-Time Traffic Management in VFC Enabled Smart Cities
The extension of Cloud computing with an effective impact is the Fog computing with respect
to the edge network which has the capability of identifying location awareness with probable …
to the edge network which has the capability of identifying location awareness with probable …
[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 …