Application management in fog computing environments: A taxonomy, review and future directions

R Mahmud, K Ramamohanarao, R Buyya - ACM Computing Surveys …, 2020 - dl.acm.org
The Internet of Things (IoT) paradigm is being rapidly adopted for the creation of smart
environments in various domains. The IoT-enabled cyber-physical systems associated with …

Key advances in pervasive edge computing for industrial internet of things in 5g and beyond

A Narayanan, AS De Sena, D Gutierrez-Rojas… - IEEE …, 2020 - ieeexplore.ieee.org
This article surveys emerging technologies related to pervasive edge computing (PEC) for
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …

SDN-based service mobility management in MEC-enabled 5G and beyond vehicular networks

SDA Shah, MA Gregory, S Li… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The next-generation mobile cellular networks are dedicated to providing a valued and
unique service experience by supporting ultrareliable and low-latency communication …

Cloud-native network slicing using software defined networking based multi-access edge computing: A survey

SDA Shah, MA Gregory, S Li - IEEE Access, 2021 - ieeexplore.ieee.org
Fifth-Generation (5G) mobile cellular networks provide a promising platform for new,
innovative and diverse IoT applications, such as ultra-reliable and low latency …

SDN enhanced multi-access edge computing (MEC) for E2E mobility and QoS management

SDA Shah, MA Gregory, S Li, RDR Fontes - IEEE Access, 2020 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a key enabler of the fifth-generation (5G) mobile
cellular networks. MEC enables Ultra-reliable and Low-latency Communications (URLLC) …

[HTML][HTML] Architecting and deploying IoT smart applications: A performance–oriented approach

I Zyrianoff, A Heideker, D Silva, J Kleinschmidt… - Sensors, 2019 - mdpi.com
Layered internet of things (IoT) architectures have been proposed over the last years as they
facilitate understanding the roles of different networking, hardware, and software …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Performance evaluation of container orchestration tools in edge computing environments

I Čilić, P Krivić, I Podnar Žarko, M Kušek - Sensors, 2023 - mdpi.com
Edge computing is a viable approach to improve service delivery and performance
parameters by extending the cloud with resources placed closer to a given service …

Optimal placement of applications in the fog environment: A systematic literature review

MM Islam, F Ramezani, HY Lu, M Naderpour - Journal of Parallel and …, 2023 - Elsevier
The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

Multi-tier GPU virtualization for deep learning in cloud-edge systems

J Kennedy, V Sharma, B Varghese… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accelerator virtualization offers several advantages in the context of cloud-edge computing.
Relatively weak user devices can enhance performance when running workloads by …