… most popular machine learning algorithms used in practice. Machine learning methods can
… For this purpose, in this section, we outline and discuss aspects of resource management at …

… can be argued that machine learning applications can do the … study to investigate how machine
learning could influence the … It was found that machine learning, alone, does not face HR …

… workload, a physical machine (PM), a high-level service requirement). Here we present a
methodology for using machine learning techniques (ML) to model the main resources of a web…

… This article takes an in-depth look at the application of machine learning and deep
reinforcement learning (DRL) techniques in cloud resource management and virtual machine …

… -PSO for better resource management. Due to the … resources, resource management
becomes a challenge. The accuracy of the resource prediction model strongly influences resource …

… resources of network functions. In this paper, regarding the importance of resource prediction
problem in NFV using machine learning … of this paper is resource management in NFVs. …

… To ensure high quality computing resource provisioning, cloud platforms should offer smart
resource management solutions. An important step toward better resource management is to …

… Her research interests are in the area of broadband wireless mobile communications,
covering topics such as radio resource management, distributed antenna systems, MIMO, …

… applications of various machine learning approaches from the MAC layer up to the application
layer, covering resource management, networking, mobility management and localization…

… This article presents the Smartalloc model for human resource allocations in projects
based on machine learning. The model learns about the allocation strategies used by the …