A comprehensive review on Internet of Things application placement in Fog computing environment
With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …
requirement of various IoT applications substantially increases. The data generated by …
State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: A review and future directions
The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …
cannot be processed by IoT devices due to the computational power of IoT devices and the …
Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions
The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …
Microservices-based IoT applications scheduling in edge and fog computing: A taxonomy and future directions
Edge and Fog computing paradigms utilise distributed, heterogeneous and resource-
constrained devices at the edge of the network for efficient deployment of latency-critical and …
constrained devices at the edge of the network for efficient deployment of latency-critical and …
An autonomic workload prediction and resource allocation framework for fog enabled industrial IoT
The Internet of Things (IoT) has revolutionized the industrial field with numerous facilities
and advancements. The industrial IoT system demands delay-aware workload execution …
and advancements. The industrial IoT system demands delay-aware workload execution …
Latency-Aware Task Scheduling for IoT Applications Based on Artificial Intelligence with Partitioning in Small-Scale Fog Computing Environments
JB Lim - Sensors, 2022 - mdpi.com
The Internet of Things applications have become popular because of their lightweight nature
and usefulness, which require low latency and response time. Hence, Internet of Things …
and usefulness, which require low latency and response time. Hence, Internet of Things …
SOS-FCI: a secure offloading scheme in fog–cloud-based IoT
Abstract The Internet of Things (IoT) is growing and has significantly impacted today's life.
Although the IoT plays an essential role in human life, it has processing limitations, and this …
Although the IoT plays an essential role in human life, it has processing limitations, and this …
Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions
Q Duan, J Huang, S Hu, R Deng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing
W Zhu, M Goudarzi, R Buyya - arXiv preprint arXiv:2308.02834, 2023 - arxiv.org
The number of Internet of Things (IoT) applications, especially latency-sensitive ones, have
been significantly increased. So, Cloud computing, as one of the main enablers of the IoT …
been significantly increased. So, Cloud computing, as one of the main enablers of the IoT …
Edge server placement problem in multi-access edge computing environment: models, techniques, and applications
Abstract Multi-Access Edge Computing (MEC) is known as a promising communication
paradigm that enables IoT and 5G scenarios by using edge servers located in the proximity …
paradigm that enables IoT and 5G scenarios by using edge servers located in the proximity …