Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
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 …
Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment
N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …
computing resources. Task scheduling in the cloud system is the major problem that needs …
An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty
Z Zhang, M Zhao, H Wang, Z Cui, W Zhang - Information Sciences, 2022 - Elsevier
Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
Cost-aware job scheduling for cloud instances using deep reinforcement learning
As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …
scaling, load-balancing, and optimized performance along with low infrastructure …
An efficient population-based multi-objective task scheduling approach in fog computing systems
Z Movahedi, B Defude, AM Hosseininia - Journal of Cloud Computing, 2021 - Springer
With the rapid development of Internet of Things (IoT) technologies, fog computing has
emerged as an extension to the cloud computing that relies on fog nodes with distributed …
emerged as an extension to the cloud computing that relies on fog nodes with distributed …
[HTML][HTML] Multi Objective Trust aware task scheduling algorithm in cloud computing using Whale Optimization
Task Scheduling is an enormous challenge in cloud computing model as to map diverse
tasks arises from various sources there should be an efficient scheduling mechanism which …
tasks arises from various sources there should be an efficient scheduling mechanism which …
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning
With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
[HTML][HTML] Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm
X Guo - Alexandria Engineering Journal, 2021 - Elsevier
A cloud computing multi-objective task scheduling optimization based on fuzzy self-defense
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …
Aquila optimizer based PSO swarm intelligence for IoT task scheduling application in cloud computing
This paper introduces IAO, a new swarm intelligence approach for addressing the challenge
of task scheduling in cloud computing. The proposed method uses conventional Aquila …
of task scheduling in cloud computing. The proposed method uses conventional Aquila …