A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

Existing approaches to online convex optimization make sequential one-slot-ahead
decisions, which lead to (possibly adversarial) losses that drive subsequent decision …

Due to rapid developments of smart devices and mobile applications, there is an urgent
need for a new human-in-the-loop architecture with better system efficiency and user …

Vehicular ad hoc networks, wireless sensor networks, Internet of Things, and mobile device-
to-device communications can be modeled as different homogeneous fog networks, wherein …

In multitiered fog computing systems, to accelerate the processing of computation-intensive
tasks for real-time Internet of Things (IoT) applications, resource-limited IoT devices can …

We review the role of information and learning in the stability and optimization of queueing
systems. In recent years, techniques from supervised learning, online learning, and …

Fog computing has recently emerged as a promising technique in content delivery wireless
networks to alleviate the heavy bursty traffic burdens on backhaul connections. In order to …

The most recent development of the Internet of Things brings massive timely sensitive and
bursty data flows. Also, joint optimization on storage, computation, and communication is in …

Mobile data users are known to possess predictable characteristics both in their interests
and activity patterns. Yet, their service is predominantly performed, especially at the wireless …

This paper considers the resource allocation problems for video transmission in space-
based information networks. The queueing system analyzed in this study is constituted by …