Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey

B Kar, W Yahya, YD Lin, A Ali - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions

A Ullah, T Kiss, J Kovács, F Tusa, J Deslauriers… - Journal of Cloud …, 2023 - Springer
IoT systems are becoming an essential part of our environment. Smart cities, smart
manufacturing, augmented reality, and self-driving cars are just some examples of the wide …

Fog computing: from architecture to edge computing and big data processing

SP Singh, A Nayyar, R Kumar, A Sharma - The Journal of Supercomputing, 2019 - Springer
Cloud computing plays a vital role in processing a large amount of data. However, with the
arrival of the Internet of Things, huge data are generated from these devices. Thus, there is …

A survey on offloading in federated cloud-edge-fog systems with traditional optimization and machine learning

B Kar, W Yahya, YD Lin, A Ali - arXiv preprint arXiv:2202.10628, 2022 - arxiv.org
The huge amount of data generated by the Internet of things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

SDN enhanced resource orchestration of containerized edge applications for industrial IoT

J Okwuibe, J Haavisto, E Harjula, I Ahmad… - IEEE …, 2020 - ieeexplore.ieee.org
With the rise of the Industrial Internet of Things (IIoT), there is an intense pressure on
resource and performance optimization leveraging on existing technologies, such as …

Docker enabled virtualized nanoservices for local IoT edge networks

J Islam, E Harjula, T Kumar, P Karhula… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
Docker Enabled Virtualized Nanoservices for Local IoT Edge Networks Page 1 1 Docker
Enabled Virtualized Nanoservices for Local IoT Edge Networks Johirul Islam∗, Erkki Harjula∗ …

Disaggregation for energy efficient fog in future 6G networks

OO Ajibola, TEH El-Gorashi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We study the benefits of adopting server disaggregation in the fog computing tier by
evaluating energy efficient placement of interactive apps in a future (6G) fog network. Using …

An integrated edge and fog system for future communication networks

PH Kuo, A Mourad, C Lu, M Berg… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Put together, the edge and fog form a large diverse pool of computing and networking
resources from different owners that can be leveraged towards low latency applications as …

Orchestrating service migration for low power mec-enabled iot devices

J Okwuibe, J Haavisto, E Harjula, I Ahmad… - arXiv preprint arXiv …, 2019 - arxiv.org
Multi-Access Edge Computing (MEC) is a key enabling technology for Fifth Generation (5G)
mobile networks. MEC facilitates distributed cloud computing capabilities and information …

Demystifying Multi-Tier Cost Model for Scheduling in Fog Communication Networks

T Jagadesh, B Jaishankar - … Data Analytics and Architectures for Next …, 2022 - igi-global.com
In this chapter, the authors explore a cost model and the come about cost-minimization client
booking issue in multi-level mist figuring organizations. For an average multi-level haze …