A meta reinforcement learning-based virtual machine placement algorithm in mobile edge computing

H Xu, C Jian - Cluster Computing, 2024 - Springer
Mobile edge computing requires more and more high-performance servers, resulting in
increased energy consumption. As an effective means to reduce energy consumption, virtual …

A learning automata based approach for module placement in fog computing environment

Y Abofathi, B Anari, M Masdari - Expert Systems with Applications, 2024 - Elsevier
Today, fog computing is an emerging technology to support resource-constrained Internet of
Things (IoT) applications. The scalability, geographic distribution, and heterogeneity of edge …

Energy efficient virtual machines placement in cloud datacenters using genetic algorithm and adaptive thresholds

A Alourani, A Khalid, M Tahir, M Sardaraz - Plos one, 2024 - journals.plos.org
Cloud computing platform provides on-demand IT services to users and advanced the
technology. The purpose of virtualization is to improve the utilization of resources and …

A machine learning-based optimization approach for pre-copy live virtual machine migration

RM Haris, KM Khan, A Nhlabatsi, M Barhamgi - Cluster Computing, 2023 - Springer
Organizations widely use cloud computing to outsource their computing needs. One crucial
issue of cloud computing is that services must be available to clients at all times. However …

HyEdge: a cooperative edge computing framework for provisioning private and public services

S Gu, D Guo, G Tang, L Luo, Y Sun, X Luo - ACM Transactions on …, 2023 - dl.acm.org
With the widespread use of Internet of Things (IoT) devices and the arrival of the 5G era,
edge computing has become an attractive paradigm to serve end-users and provide better …

Edge server placement and allocation optimization: a tradeoff for enhanced performance

A Ghasemzadeh, HS Aghdasi, S Saeedvand - Cluster Computing, 2024 - Springer
Considering the expansion of the Internet of Things (IoT) and the volume of data and user
requests, Mobile Edge Computing (MEC) is considered a novel and efficient solution that …

Enhancing vehicular edge computing system through cooperative computation offloading

Y Lu, D Han, X Wang, Q Gao - Cluster Computing, 2023 - Springer
Abstract Vehicular Edge Computing is the specific application of Mobile Edge Computing in
vehicular scenarios. In this work, to efficiently provide on-demand computational resource …

[PDF][PDF] An Intelligent Cardiovascular Diseases Prediction System Focused on Privacy.

M Kolhar, M Misfer - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
Machine learning (ML) and cloud computing have now evolved to the point where they are
able to be used effectively. Further improvement, however, is required when both of these …

AGENT BASED APPROACH FOR TASK OFFLOADING IN EDGE COMPUTING

H Morshedlou, RV Shoar - Jordanian Journal of Computers …, 2023 - search.proquest.com
Due to limited resource capacity in the edge network and a high volume of tasks offloaded to
edge servers, edge resources may be unable to provide the required capacity for serving all …

A Systematic Literature Review on Contemporary and Future trends in Virtual Machine Scheduling Techniques in Cloud and Multi-Access Computing

N Rana, F Jeribi, ST Amin, Z Khan, M Uddin, IB Dhaou - 2023 - researchsquare.com
Due to the extensive migration of business and scientific applications as well as the
enormous growth in online data produced by IoT devices, numerous problems have arisen …