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 …
Towards metaheuristic scheduling techniques in cloud and fog: an extensive taxonomic review
Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …
The objective is to provide an optimal distribution of tasks among the resources. Several …
An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem
W Deng, J Xu, H Zhao - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …
population strategy, co-evolution mechanism, pheromone updating strategy, and …
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
Multi-objective task scheduling optimization for load balancing in cloud computing environment using hybrid artificial bee colony algorithm with reinforcement learning
B Kruekaew, W Kimpan - IEEE Access, 2022 - ieeexplore.ieee.org
Workload balancing in cloud computing is still challenging problem, especially in
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …
A WOA-based optimization approach for task scheduling in cloud computing systems
Task scheduling in cloud computing can directly affect the resource usage and operational
cost of a system. To improve the efficiency of task executions in a cloud, various …
cost of a system. To improve the efficiency of task executions in a cloud, various …
An improved hybrid swarm intelligence for scheduling iot application tasks in the cloud
The usage of cloud services is growing exponentially with the recent advancement of
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …
Energy and performance-efficient task scheduling in heterogeneous virtualized cloud computing
In virtualized cloud computing systems, energy reduction is a serious concern since it can
offer many major advantages, such as reducing running costs, increasing system efficiency …
offer many major advantages, such as reducing running costs, increasing system efficiency …
HWACOA scheduler: Hybrid weighted ant colony optimization algorithm for task scheduling in cloud computing
With the advancement of technology and time, people have always sought to solve
problems in the most efficient and quickest way possible. Since the introduction of the cloud …
problems in the most efficient and quickest way possible. Since the introduction of the cloud …