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A survey on network methodologies for real-time analytics of massive IoT data and open research issues
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 …
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
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 …
implementation of 5G networks and the Internet of Things, as it is the best method of …
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 on …, 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 …
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …
Towards workload balancing in fog computing empowered IoT
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 …
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
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 …
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
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 …
client devices. Their main drawback has long been the long distance between users and …
Workload allocation in hierarchical cloudlet networks
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 …
cloud in executing workloads offloaded from a user equipment (UE). However, the response …
Edge-aware cloud-native service for enhancing back situation awareness in 5G-based vehicular systems
In the public safety sector, 5G offers immense opportunities for enhancing mission-critical
services by provisioning virtualized service functions at the network edge, which enables …
services by provisioning virtualized service functions at the network edge, which enables …
Adaptive avatar handoff in the cloudlet network
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 …
uploaded to the remote cloud (for further processing) via the Internet. However, moving a …
QoS-aware service continuity in the virtualized edge
5G systems are envisioned to support numerous delay-sensitive applications such as the
tactile Internet, mobile gaming, and augmented reality. Such applications impose new …
tactile Internet, mobile gaming, and augmented reality. Such applications impose new …