We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

With the rapid development of wireless communication, achieving the neXt generation Ultra-
Reliable and Low-Latency Communications (xURLLC) in 6G mobile communication …

Edge Computing (EC) has emerged as a pivotal paradigm, offering solutions to address the
challenges posed by latency-sensitive applications and to enhance overall network …

Autoscaling systems provide means to automatically change the resources allocated to a
software system according to the incoming workload and its actual needs. Public cloud …

Multi-access Edge Computing (MEC) is a promising solution to the resource shortage
problem on mobile devices. With MEC, a fraction of the computational tasks on mobile …

Cameras are widely used in many fields, eg, intelligent transportation, autonomous driving,
surveillance, etc. It is thus vital to conduct video analytics in an efficient and accurate …

In multi-access edge computing, services are cached from cloud servers to the edge base
station providing low-latency services. Horizontal Collaboration (HC) between Base Stations …

Intelligent terminal devices (TDs) usually request delay-sensitive and resource-demanding
jobs, which are consisted of many sequential tasks. Mobile edge computing (MEC) offloads …

Mobile cloud computing enables compute-limited mobile devices to perform real-time
intensive computations such as speech recognition or object detection by leveraging …

In this paper, we consider a large-scale heterogeneous mobile edge computing system,
where each device's mean computing task arrival rate, mean service rate, mean energy …