An overview of service placement problem in fog and edge computing
To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …
Computing was introduced to complement the Cloud Computing and offer Cloud-like …
[HTML][HTML] From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …
systems into emergency management and response, known as the Internet of Emergency …
Dynamic task offloading and resource allocation for ultra-reliable low-latency edge computing
To overcome devices' limitations in performing computation-intense applications, mobile
edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster …
edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster …
[HTML][HTML] Edge-computing architectures for internet of things applications: A survey
The rapid growth of the Internet of Things (IoT) applications and their interference with our
daily life tasks have led to a large number of IoT devices and enormous sizes of IoT …
daily life tasks have led to a large number of IoT devices and enormous sizes of IoT …
Load balancing algorithms in fog computing
MH Kashani, E Mahdipour - IEEE Transactions on Services …, 2022 - ieeexplore.ieee.org
Recently, fog computing has been introduced as a modern distributed paradigm and
complement to cloud computing to provide services. The fog system extends storing and …
complement to cloud computing to provide services. The fog system extends storing and …
Fog computing for the internet of things: A survey
Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …
connected to the Internet and exchange, store, process, and collect data from the …
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Scheduling IoT applications in edge and fog computing environments: A taxonomy and future directions
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …
network with low latency and high-access bandwidth to support a diverse range of IoT …
A comprehensive survey of RAN architectures toward 5G mobile communication system
The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous
mobile service with enhanced quality of service (QoS). It is also expected to enable new use …
mobile service with enhanced quality of service (QoS). It is also expected to enable new use …
Blockchain security: A survey of techniques and research directions
Blockchain, an emerging paradigm of secure and shareable computing, is a systematic
integration of 1) chain structure for data verification and storage, 2) distributed consensus …
integration of 1) chain structure for data verification and storage, 2) distributed consensus …