Edge computing simulators for iot system design: An analysis of qualities and metrics
The deployment of Internet of Things (IoT) applications is complex since many quality
characteristics should be taken into account, for example, performance, reliability, and …
characteristics should be taken into account, for example, performance, reliability, and …
Intelligent resource management at the edge for ubiquitous IoT: An SDN-based federated learning approach
The ubiquitous nature of Internet of Things (IoT) devices has posited many challenges that
need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming …
need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming …
Enabling efficient and secure energy cloud using edge computing and 5G
Y Jararweh - Journal of Parallel and Distributed Computing, 2020 - Elsevier
Energy cloud systems continue to shape the future of the energy sector. The complexity of
energy cloud systems stems from their widespread and distributed aspects such as …
energy cloud systems stems from their widespread and distributed aspects such as …
Joint content caching and recommendation in opportunistic mobile networks through deep reinforcement learning and broad learning
Edge caching has been a research hotspot of the Mobile Edge Computing (MEC) in recent
years, which is an effective way to ease the burden of traffic in cellular networks. It places …
years, which is an effective way to ease the burden of traffic in cellular networks. It places …
Context-aware and energy-aware video streaming on smartphones
High quality video streaming for mobile devices implies high energy consumption due to the
transmitted data and the variation of wireless signals. As an example, transmissions in …
transmitted data and the variation of wireless signals. As an example, transmissions in …
Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence
Edge intelligence has become popular recently since it brings smartness and copes with
some shortcomings of conventional technologies such as cloud computing, Internet of …
some shortcomings of conventional technologies such as cloud computing, Internet of …
Cooperative caching algorithm for mobile edge networks based on multi-agent meta reinforcement learning
Z Wei, Y Zhao, Z Lyu, X Yuan, Y Zhang, L Feng - Computer Networks, 2024 - Elsevier
Edge caching reduces service latency, relieves backhaul link traffic pressure, and enhances
the quality of experience by multiplexing network content. Many studies use deep …
the quality of experience by multiplexing network content. Many studies use deep …
FedCo: A federated learning controller for content management in multi-party edge systems
Managing cache content at the edge is one of the many use cases of 5G-and-beyond
networks. However, increasing the density of Edge Data Centers (EDCs) to service requests …
networks. However, increasing the density of Edge Data Centers (EDCs) to service requests …
Deep-Q-network-based multimedia multi-service QoS optimization for mobile edge computing systems
B Guo, X Zhang, Y Wang, H Yang - IEEE Access, 2019 - ieeexplore.ieee.org
By offloading storage and computing resources to the edge of networks, mobile edge
computing (MEC) is emerged as a promising architecture to reduce the transmission delay …
computing (MEC) is emerged as a promising architecture to reduce the transmission delay …
A re-organizing biosurveillance framework based on fog and mobile edge computing
Biological threats are becoming a serious security issue for many countries across the world.
Effective biosurveillance systems can primarily support appropriate responses to biological …
Effective biosurveillance systems can primarily support appropriate responses to biological …