Optimal placement of applications in the fog environment: A systematic literature review
The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …
execution of latency-sensitive applications at the network edge by offering enhanced …
Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm
F Ramezani Shahidani, A Ghasemi… - Computing, 2023 - Springer
The rapid development of internet of things (IoT) gadgets and the increase in the rate of
sending requests from these devices to cloud data centers resulted in congestion and …
sending requests from these devices to cloud data centers resulted in congestion and …
Machine learning methods for service placement: a systematic review
With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …
(IoE), service placement cannot rely on cloud computing alone. In response to this need …
A particle swarm optimization with lévy flight for service caching and task offloading in edge-cloud computing
T Gao, Q Tang, J Li, Y Zhang, Y Li, J Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Edge-cloud computing is an efficient approach to address the high latency issue in mobile
cloud computing for service provisioning, by placing several computing resources close to …
cloud computing for service provisioning, by placing several computing resources close to …
A learning automata based approach for module placement in fog computing environment
Today, fog computing is an emerging technology to support resource-constrained Internet of
Things (IoT) applications. The scalability, geographic distribution, and heterogeneity of edge …
Things (IoT) applications. The scalability, geographic distribution, and heterogeneity of edge …
An efficient resource allocation of IoT requests in hybrid fog–cloud environment
M Afzali, A Mohammad Vali Samani… - The Journal of …, 2024 - Springer
Abstract The Internet of things (IoT) paradigm has emerged to connect the number of
devices using the Internet resulting in the deployment of smart cities. Cloud computing has …
devices using the Internet resulting in the deployment of smart cities. Cloud computing has …
DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks
The service placement problem in a fog-cloud pertains to the intricate task of ascertaining
the optimal placement locations for diverse service replicas that constitute an Internet of …
the optimal placement locations for diverse service replicas that constitute an Internet of …
Deadline-aware multi-objective IoT services placement optimization in fog environment using parallel FFD-genetic algorithm
F Saadian, H Motameni… - Pervasive and Mobile …, 2023 - Elsevier
Nowadays, Internet of things has become as an inevitable aspect of humans' IT-based life. A
huge number of geo-distributed IoT enabled devices such as smart phones, smart cameras …
huge number of geo-distributed IoT enabled devices such as smart phones, smart cameras …
A two-tier multi-objective service placement in container-based fog-cloud computing platforms
The utilization of cloud computing in Internet of Things (IoT) applications has become
widespread. However, it presents challenges for latency-sensitive scenarios due to data …
widespread. However, it presents challenges for latency-sensitive scenarios due to data …
Mohho: multi-objective Harris Hawks optimization algorithm for service placement in fog computing
A Ghasemi - The Journal of Supercomputing, 2024 - Springer
The fog computing model is a new computing model that has been proposed in recent years
by increasing the number of requests sent to the cloud to reduce the delay and workload of …
by increasing the number of requests sent to the cloud to reduce the delay and workload of …