Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions
The Internet of Everything paradigm is being rapidly adopted in developing applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
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 …
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …
that require a real-time response and low latency have emerged. Fog computing has …
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 …
[HTML][HTML] Deep reinforcement learning-based scheduling for optimizing system load and response time in edge and fog computing environments
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency
requirements of ever-increasing number of IoT applications and has become the …
requirements of ever-increasing number of IoT applications and has become the …
Hybrid heuristic algorithm for cost-efficient QoS aware task scheduling in fog–cloud environment
SM Hussain, GR Begh - Journal of Computational Science, 2022 - Elsevier
Fog cloud computing promotes the combination of fog and cloud nodes to satisfy the
requests of data accessing from IoT (Internet of Things) devices. To reduce the data delay …
requests of data accessing from IoT (Internet of Things) devices. To reduce the data delay …
IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment
Given the increase diversity of smart devices and objectives of the application management
such as energy consumption, makespan users expect their requests to be responded to in …
such as energy consumption, makespan users expect their requests to be responded to in …
Resource scheduling methods in cloud and fog computing environments: a systematic literature review
A Rahimikhanghah, M Tajkey, B Rezazadeh… - Cluster …, 2022 - Springer
In recent years, cloud computing can be considered an emerging technology that can share
resources with users. Because cloud computing is on-demand, efficient use of resources …
resources with users. Because cloud computing is on-demand, efficient use of resources …
Task scheduling in fog environment—Challenges, tools & methodologies: A review
ZJK Abadi, N Mansouri, M Khalouie - Computer Science Review, 2023 - Elsevier
Even though cloud computing offers many advantages, it can be a poor choice sometimes
because of its slow response to existing requests, leading to the need for fog computing …
because of its slow response to existing requests, leading to the need for fog computing …
Genetic-based algorithm for task scheduling in fog–cloud environment
Over the past few years, there has been a consistent increase in the number of Internet of
Things (IoT) devices utilizing Cloud services. However, this growth has brought about new …
Things (IoT) devices utilizing Cloud services. However, this growth has brought about new …