Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Dynamic resource allocation in cloud computing: analysis and taxonomies
A Belgacem - Computing, 2022 - Springer
In recent years, companies have used the cloud computing paradigm to run various
computing and storage workloads. The cloud offers faster and more profitable services …
computing and storage workloads. The cloud offers faster and more profitable services …
Dynamic resource allocation for virtual network function placement in satellite edge clouds
Satellite edge computing has become a promising way to provide computing services for
Internet of Things (IoT) users in remote areas, which are out of the coverage of terrestrial …
Internet of Things (IoT) users in remote areas, which are out of the coverage of terrestrial …
Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
Computer resources provision over the internet resulted in the wide spread usage of cloud
computing paradigm. With the use of such resources come certain challenges that can …
computing paradigm. With the use of such resources come certain challenges that can …
Energy aware resource optimization using unified metaheuristic optimization algorithm allocation for cloud computing environment
In recent times, cloud computing (CC) has rapidly emerged as an effective framework for
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …
[HTML][HTML] Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing
Now more than ever, optimizing resource allocation in cloud computing is becoming more
critical due to the growth of cloud computing consumers and meeting the computing …
critical due to the growth of cloud computing consumers and meeting the computing …
A hybrid deep-learning approach for complex biochemical named entity recognition
J Liu, L Gao, S Guo, R Ding, X Huang, L Ye… - Knowledge-Based …, 2021 - Elsevier
Named entity recognition (NER) of chemicals and drugs is a critical domain of information
extraction in biochemical research. NER provides support for text mining in biochemical …
extraction in biochemical research. NER provides support for text mining in biochemical …
Efficient computation offloading and resource allocation scheme for opportunistic access fog-cloud computing networks
WB Sun, J Xie, X Yang, L Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fog-cloud computing is one of cores techniques in wireless networks, where fog and cloud
nodes provide high-speed and large-scale computing services to mobile users through a …
nodes provide high-speed and large-scale computing services to mobile users through a …
A genetic-based clustering algorithm for efficient resource allocating of IoT applications in layered fog heterogeneous platforms
K Abedpour, M Hosseini Shirvani, E Abedpour - Cluster Computing, 2024 - Springer
Fog Computing paradigm that provisions low-latency computing services at the edge
network, is a bonanza for supply chain computing resources in Internet of Things (IoT) …
network, is a bonanza for supply chain computing resources in Internet of Things (IoT) …