Distributed task scheduling in serverless edge computing networks for the internet of things: A learning approach
By delegating the infrastructure management, such as provisioning or scaling to third-party
providers, serverless edge computing has recently been widely adopted in several …
providers, serverless edge computing has recently been widely adopted in several …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
Energy efficient deployment and orchestration of computing resources at the network edge: a survey on algorithms, trends and open challenges
Mobile networks are becoming energy hungry, and this trend is expected to continue due to
a surge in communication and computation demand. Multi-access Edge Computing (MEC) …
a surge in communication and computation demand. Multi-access Edge Computing (MEC) …
An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network
Abstract Vehicular Edge Computing (VEC) provides flexible distributed computing paradigm
for vehicular network through computation offloading. With the advent of a growing of …
for vehicular network through computation offloading. With the advent of a growing of …
Joint service deployment and task scheduling for satellite edge computing: A two-timescale hierarchical approach
In this paper, we establish a two-timescale framework for the joint service deployment and
task scheduling problem in satellite edge computing networks. We aim to optimize the …
task scheduling problem in satellite edge computing networks. We aim to optimize the …
Cost-Minimized computation offloading and user association in hybrid cloud and edge computing
Smart mobile devices (SMDs) are integral for running advanced applications that demand
significant computing resources and quick response time, eg, immersive gaming and …
significant computing resources and quick response time, eg, immersive gaming and …
6G goal-oriented communications: How to coexist with legacy systems?
6G will connect heterogeneous intelligent agents to make them natively operate complex
cooperative tasks. When connecting intelligence, two main research questions arise to …
cooperative tasks. When connecting intelligence, two main research questions arise to …
Stochastic long-term energy optimization in digital twin-assisted heterogeneous edge networks
Mobile edge computing (MEC) and digital twin (DT) technologies have been recognized as
key enabling factors for the next generation of industrial Internet of Things (IoT) applications …
key enabling factors for the next generation of industrial Internet of Things (IoT) applications …
Energy Minimization of the Cell-free MEC Networks with Two-timescale Resource Allocation
In this paper, we investigate the energy minimization problem in cell-free mobile edge
computing (MEC) networks under dynamic channel conditions and random arrival tasks. We …
computing (MEC) networks under dynamic channel conditions and random arrival tasks. We …
[HTML][HTML] Green NOMA based MU-MIMO transmission for MEC in 6G Networks
Mobile edge computing (MEC) is a distributed computing paradigm that brings computing
and data storage closer to the network's edge. This paper considers a multiple-input multiple …
and data storage closer to the network's edge. This paper considers a multiple-input multiple …