Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Swarm intelligence for next-generation networks: Recent advances and applications
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT
A Samanta, J Tang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In recent years, the rapid development of mobile edge computing (MEC) provides an
efficient execution platform at the edge for Internet-of-Things (IoT) applications …
efficient execution platform at the edge for Internet-of-Things (IoT) applications …
Artificial intelligence for wireless caching: Schemes, performance, and challenges
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
Cost-effective data placement in edge storage systems with erasure code
Edge computing, as a new computing paradigm, brings cloud computing's computing and
storage capacities to network edge for providing low latency services for users. The …
storage capacities to network edge for providing low latency services for users. The …
Distributed resource distribution and offloading for resource-agnostic microservices in industrial iot
A Samanta, TG Nguyen, T Ha… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to increase in real-time mobile applications and Industrial Internet-of-Things (IIoT)
devices, the edge computing paradigm provides a systematic and eccentric platform for real …
devices, the edge computing paradigm provides a systematic and eccentric platform for real …
Fault-tolerant mechanism for edge-based IoT networks with demand uncertainty
A Samanta, F Esposito… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Due to ubiquitous increase of mobile services and powerful Internet-of-Things (IoT) devices,
the interest for mobile-edge computing (MEC) solutions has grown both in industry and …
the interest for mobile-edge computing (MEC) solutions has grown both in industry and …
A nonintrusive elderly home monitoring system
Home anomaly monitoring is crucial for the elderly who live alone. A number of IoT-based
home monitoring systems have been available, but most rely on privacy-intrusive cameras …
home monitoring systems have been available, but most rely on privacy-intrusive cameras …
Applying machine learning techniques for caching in edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud
resources closer to the end user improving responsiveness and reducing backhaul traffic …
resources closer to the end user improving responsiveness and reducing backhaul traffic …
Completion time minimization in fog-RANs using D2D communications and rate-aware network coding
MS Al-Abiad, MJ Hossain - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
The device-to-device communication-aided fog radio access network, referred to as D2D-
aided F-RAN, takes advantage of caching at enhanced remote radio heads (eRRHs) and …
aided F-RAN, takes advantage of caching at enhanced remote radio heads (eRRHs) and …