A novel deep reinforcement learning based service migration model for mobile edge computing

SW Park, A Boukerche, S Guan - 2020 IEEE/ACM 24th …, 2020 - ieeexplore.ieee.org
Cloud Computing has emerged as a foundation of smart environments by encapsulating
and virtualizing the underlying design and implementation details. Concerning the inherent …

An energy-aware resource deployment algorithm for cloud data centers based on dynamic hybrid machine learning

B Liang, D Wu, P Wu, Y Su - Knowledge-Based Systems, 2021 - Elsevier
To meet the ever-increasing requirements of cloud users, cloud service providers have
further increased the deployment of cloud data centers. Cloud users can freely choose the …

Autonomic resource provisioning for multilayer cloud applications with K‐nearest neighbor resource scaling and priority‐based resource allocation

A Mazidi, M Golsorkhtabaramiri… - Software: Practice and …, 2020 - Wiley Online Library
Providing a pool of various resources and services to customers on the Internet in
exchanging money has made cloud computing as one of the most popular technologies …

Efficient flow-based scheduling for geo-distributed simulation tasks in collaborative edge and cloud environments

Z Miao, P Yong, Z Jiancheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge computing is a good complement to cloud computing for deploying large-scale geo-
distributed simulation applications, which are very sensitive to the communication delay …

Multi-user reinforcement learning based task migration in mobile edge computing

Y Cui, D Zhang, J Zhang, T Zhang, L Cao… - Frontiers of Computer …, 2024 - Springer
Abstract Mobile Edge Computing (MEC) is a promising approach. Dynamic service
migration is a key technology in MEC. In order to maintain the continuity of services in a …

An autonomic decision tree‐based and deadline‐constraint resource provisioning in cloud applications

A Mazidi, M Mahdavi… - … and Computation: Practice …, 2021 - Wiley Online Library
Cloud computing provides a set of resources and services for customers on the Internet on
demand and based on a pay as you go model. Cloud providers are looking to decrease …

Novel sustainable and heterogeneous offloading management techniques in proactive cloudlets

S Guan, A Boukerche, A Loureiro - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cloudlet-based mobile cloud offloading is an emerging technology designed to augment
mobile elements by migrating resource-hungry components to adjacent local resource …

A workflow architecture for cloud-based distributed simulation

NR Chaudhry, A Anagnostou, SJE Taylor - ACM Transactions on …, 2022 - dl.acm.org
Distributed Simulation has still to be adopted significantly by the wider simulation
community. Reasons for this might be that distributed simulation applications are difficult to …

DEVS Distributed Modeling Framework-A parallel DEVS implementation via microservices

R Kewley, N Kester, J McDonnell - 2016 Symposium on Theory …, 2016 - ieeexplore.ieee.org
This paper introduces DEVS Distributed Modeling Framework (DEVS-DMF), a publicly
available implementation of DEVS for integrating simulation models as parallel and …

Enhancing Features of Cloud Computing Using Cloud Access Security Brokers to Avoid Data Breaches

S Kaur, R Gupta - European Journal of Engineering and Technology …, 2019 - ej-eng.org
Data breaches have gained widespread attention as businesses of all sizes become
increasingly reliant on digital data, cloud computing, and workforce mobility. Cloud …