A review on energy-aware scheduling techniques for workflows in IaaS clouds
Cloud computing has emerged as the preeminent computing platform for multiple
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …
Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge–cloud computing environments
The wide-spread embracement and integration of Internet of Things (IoT) has inevitably lead
to an explosion in the number of IoT devices. This in turn has led to the generation of …
to an explosion in the number of IoT devices. This in turn has led to the generation of …
A survey of ai-enabled dynamic manufacturing scheduling: From directed heuristics to autonomous learning
As one of the most complex parts in manufacturing systems, scheduling plays an important
role in the efficient allocation of resources to meet individual customization requirements …
role in the efficient allocation of resources to meet individual customization requirements …
Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm
Cloud computing is one of the most popular distributed environments, in which, multiple
powerful and heterogeneous resources are used by different user applications. Task …
powerful and heterogeneous resources are used by different user applications. Task …
A decentralized adaptation of model-free Q-learning for thermal-aware energy-efficient virtual machine placement in cloud data centers
The traditional method of saving energy in Virtual Machine Placement (VMP) is based on
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …
consolidating more virtual machines (VMs) in fewer servers and putting the rest in sleep …
Deep reinforcement learning for application scheduling in resource-constrained, multi-tenant serverless computing environments
Serverless computing has sparked a massive interest in both the cloud service providers
and their clientele in recent years. This model entails the shift of the entire matter of resource …
and their clientele in recent years. This model entails the shift of the entire matter of resource …
Multiobjective Edge Server Placement in Mobile-Edge Computing Using a Combination of Multiagent Deep Q-Network and Coral Reefs Optimization
A Asghari, MK Sohrabi - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The growth of telecommunication technologies, especially 5G, the growing popularity of
smart mobile devices, the emergence of smart cities and Internet of Things (IoT), and the …
smart mobile devices, the emergence of smart cities and Internet of Things (IoT), and the …
Multi-objective edge server placement using the whale optimization algorithm and game theory
Due to the users' mobility, new online applications, as well as low processing power and
limited energy of smart devices, traditional cloud computing models could not provide new …
limited energy of smart devices, traditional cloud computing models could not provide new …
Energy-aware server placement in mobile edge computing using trees social relations optimization algorithm
The advent of fifth-generation (5G) telecommunication technology and the rapid growth of
smart mobile equipment have led to many processing demands in this area. Many mobile …
smart mobile equipment have led to many processing demands in this area. Many mobile …
Dynamic edge server placement in mobile edge computing using modified red deer optimization algorithm and Markov game theory
Today, the development of intelligent mobile communication equipment, online applications
such as online games, e-commerce, e-learning, and multimedia applications, and also the …
such as online games, e-commerce, e-learning, and multimedia applications, and also the …