Given the current predictions of B5G, the maturity of 5G technology, and proposed network
services that are both compute-intensive and latency-sensitive, there are different levels of …

Deploying service nodes hierarchically at the edge of the network can effectively improve
the service quality of offloaded task requests and increase the utilization of resources. In this …

Handing over edge network data and computation to cloud platforms often results in high
bandwidth costs and processing delays, which makes hybrid cloud-edge computing a hot …

The development of holographic technologies causes an increase in the amount of
generated traffic in communication networks, which in turn leads to a high load on the core …

With the present trend towards the use of microservices instead of monolithic software, future
applications with diverse computational and delay-sensitive requirements, such as virtual …

Next generation mobile and immersive applications (eg, Augmented Reality (AR), Virtual
Reality (VR), Extended reality (XR)), and Internet of Things (IoTs) provide richer …

Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile
devices to edge or cloud servers. However, Task offloading may result in increased energy …

Novel applications such as the Metaverse have high-lighted the potential of beyond 5G
networks, which necessitate ultra-low latency communications and massive broadband …

Future applications to be supported by 6G networks are envisaged to be realized by loosely-
coupled and independent microservices. In order to achieve an optimal deployment of …

5G wireless network technology will not only significantly increase bandwidth but also
introduce new features such as mMTC and URLLC. However, high request latency will …