Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective

TK Rodrigues, K Suto, H Nishiyama… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …

A survey on network methodologies for real-time analytics of massive IoT data and open research issues

S Verma, Y Kawamoto, ZM Fadlullah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing

B Lin, F Zhu, J Zhang, J Chen, X Chen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …

Towards workload balancing in fog computing empowered IoT

Q Fan, N Ansari - IEEE Transactions on Network Science and …, 2018 - ieeexplore.ieee.org
As latency is the key performance metric for IoT applications, fog nodes co-located with
cellular base stations can move the computing resources close to IoT devices. Therefore …

Cloudlets activation scheme for scalable mobile edge computing with transmission power control and virtual machine migration

TG Rodrigues, K Suto, H Nishiyama… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Mobile devices have several restrictions due to design choices that guarantee their mobility.
A way of surpassing such limitations is to utilize cloud servers called cloudlets on the edge …

Edge cloud server deployment with transmission power control through machine learning for 6G Internet of Things

TK Rodrigues, K Suto, N Kato - IEEE Transactions on Emerging …, 2019 - ieeexplore.ieee.org
Cloud computing is an important technology for bringing a big pool of elastic resources to
client devices. Their main drawback has long been the long distance between users and …

Workload allocation in hierarchical cloudlet networks

Q Fan, N Ansari - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
Edge cloudlets are promising to mitigate the high network delay incurred by the remote
cloud in executing workloads offloaded from a user equipment (UE). However, the response …

Adaptive avatar handoff in the cloudlet network

X Sun, N Ansari - IEEE transactions on cloud computing, 2017 - ieeexplore.ieee.org
In a traditional big data network, data streams generated by User Equipments (UEs) are
uploaded to the remote cloud (for further processing) via the Internet. However, moving a …

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 …

Orchestrating 5G edges: collaborative and distributed management and orchestration of open programmable and virtualized edge networks

N Slamnik-Kriještorac - 2022 - repository.uantwerpen.be
To respond to innovation aspirations from the digital society, networks need to be
significantly more flexible and adjustable. Such flexibility can be achieved through network …