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 …
Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …
centralized cloud computing toward edge computing resulting in a paradigm shift in …
DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing
Task scheduling in cloud paradigm brought attention of all researchers as it is a challenging
issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size …
issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size …
Multi-search-routes-based methods for minimizing makespan of homogeneous and heterogeneous resources in Cloud computing
Cloud computing, as a large-scale distributed computing system dynamically providing
elastic services, is designed to meet the requirement of delivering computing services to …
elastic services, is designed to meet the requirement of delivering computing services to …
Deep reinforcement learning-based algorithms selectors for the resource scheduling in hierarchical cloud computing
Cloud computing environment is becoming increasingly complex due to its large-scale
information growth and increasing heterogeneity of computing resources. Hierarchical …
information growth and increasing heterogeneity of computing resources. Hierarchical …
[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 …
Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
[PDF][PDF] Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review
With the increasing growth of information through smart devices, increasing the quality level
of human life requires various computational paradigms presentation including the Internet …
of human life requires various computational paradigms presentation including the Internet …
An energy-aware resource allocation method for avionics systems based on improved ant colony optimization algorithm
X Du, C Du, J Chen, Y Liu - Computers and Electrical Engineering, 2023 - Elsevier
With the growing number of resources and the expansion of the scale of avionics systems,
the problem of energy consumption has become increasingly prominent. Even though high …
the problem of energy consumption has become increasingly prominent. Even though high …
Task scheduling in cloud using deep reinforcement learning
S Swarup, EM Shakshuki, A Yasar - Procedia Computer Science, 2021 - Elsevier
Cloud computing is an emerging technology used in many applications such as data
analysis, storage, and Internet of Things (IoT). Due to the increasing number of users in the …
analysis, storage, and Internet of Things (IoT). Due to the increasing number of users in the …