A survey on virtual machine migration: Challenges, techniques, and open issues

F Zhang, G Liu, X Fu… - … Communications Surveys & …, 2018 - ieeexplore.ieee.org
When users flood in cloud data centers, how to efficiently manage hardware resources and
virtual machines (VMs) in a data center to both lower economical cost and ensure a high …

Fast adaptive task offloading in edge computing based on meta reinforcement learning

J Wang, J Hu, G Min, AY Zomaya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to
reduce network traffic and service latency. A fundamental problem in MEC is how to …

[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges

A Ometov, V Shubina, L Klus, J Skibińska, S Saafi… - Computer Networks, 2021 - Elsevier
Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …

Dependent task offloading for edge computing based on deep reinforcement learning

J Wang, J Hu, G Min, W Zhan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge computing is an emerging promising computing paradigm that brings computation and
storage resources to the network edge, hence significantly reducing the service latency and …

Mobility-aware multi-user offloading optimization for mobile edge computing

W Zhan, C Luo, G Min, C Wang, Q Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to
enhance the performance of user equipment (UE) by offloading resource-hungry …

Cost-efficient resource provisioning for dynamic requests in cloud assisted mobile edge computing

X Ma, S Wang, S Zhang, P Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Mobile edge computing is emerging as a new computing paradigm that provides enhanced
experience to mobile users via low latency connections and augmented computation …

Optimal placement of cloudlets for access delay minimization in SDN-based Internet of Things networks

L Zhao, W Sun, Y Shi, J Liu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Given the highly dynamic traffic loads of mobile Internet of Things (IoT) devices and their
stringent quality-ofservice requirements, ie, access delay particularly, as well as the …

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

QoS-aware service continuity in the virtualized edge

H Abdah, JP Barraca, RL Aguiar - IEEE Access, 2019 - ieeexplore.ieee.org
5G systems are envisioned to support numerous delay-sensitive applications such as the
tactile Internet, mobile gaming, and augmented reality. Such applications impose new …

Application of cybertwin for offloading in mobile multiaccess edge computing for 6G networks

TK Rodrigues, J Liu, N Kato - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Multiaccess edge computing is an essential technology that academia and industry have
recognized as fundamental for the future of the Internet of Things. Current research on the …