62 citations · 118 across the 18 of their papers we have counts for
15 papers · 1 filter
A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Vincenzo Norman Vitale, Antonia Maria Tulino, Andreas F. Molisch +1
Timely delivery of delay-sensitive information over dynamic, heterogeneous networks is increasingly essential for a range of interactive applications, such as industrial automation…
Optimal Multicast Service Chain Control: Packet Processing, Routing, and Duplication
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
Distributed computing (cloud) networks, e.g., mobile edge computing (MEC), are playing an increasingly important role in the efficient hosting, running, and delivery of real-time s…
Optimal Cloud Network Control with Strict Latency Constraints
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
The timely delivery of resource-intensive and latency-sensitive services (e.g., industrial automation, augmented reality) over distributed computing networks (e.g., mobile edge com…
Dynamic Control of Data-Intensive Services over Edge Computing Networks
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
Next-generation distributed computing networks (e.g., edge and fog computing) enable the efficient delivery of delay-sensitive, compute-intensive applications by facilitating acces…
Compute- and Data-Intensive Networks: The Key to the Metaverse
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
The worlds of computing, communication, and storage have for a long time been treated separately, and even the recent trends of cloud computing, distributed computing, and mobile e…
Ultra-Reliable Distributed Cloud Network Control with End-to-End Latency Constraints
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
We are entering a rapidly unfolding future driven by the delivery of real-time computation services, such as industrial automation and augmented reality, collectively referred to a…