Resilient Delivery of Real-Time Interactive Services over NextG Compute-Dense Mobile Networks

Speaker

Jaime Llorca
Associate Professor at the University of Trento and a Research Professor at New York University

Title

"Resilient Delivery of Real-Time Interactive Services over NextG Compute-Dense Mobile Networks"

Abstract

In this talk, I will provide an overview and present recent results from our NSF RINGS project, "Resilient Delivery of Real-Time Interactive Services over NextG Compute-Dense Mobile Networks", which addresses the end-to-end orchestration of next-generation resource-intensive and latency-sensitive services (e.g., extended reality, autonomous transportation) over distributed, cloud-integrated networks. I will introduce a dual-timescale orchestration system, which integrates centralized long-term optimization with distributed short-term control. At the long-term timescale, centralized algorithms determine end-to-end service configurations (including function placement, flow routing, and computation-communication resource allocation), while at the short-term timescale, distributed control policies enable real-time adaptation through packet scheduling, rerouting, and resource autoscaling in response to dynamic changes in network conditions and service demands.

The talk will highlight two key enabling technologies. At the central controller, we leverage the recently proposed Cloud Network Flow optimization framework to efficiently embed complex service workflows, represented as directed acyclic graphs, over heterogeneous, compute-dense infrastructures, aiming to minimize overall operational cost while satisfying average rate and latency requirements. At the local controllers, we adopt a hybrid control strategy that combines model-driven Lyapunov-based techniques with data-driven reinforcement learning to guide dynamic routing and scheduling policies that ensure timely throughput and strict per-packet latency guarantees.
 

About Speaker

Jaime Llorca is an Associate Professor at the University of Trento and a Research Professor at New York University. He also serves as Director of Strategy at the 5G Academy, Italy, and as Associate Editor for the IEEE/ACM Transactions on Networking. He previously held a Senior Research Scientist position with the Network Algorithms Group at Nokia Bell Labs, NJ, a Research Scientist position with the Wireless Networking Group at Alcatel-Lucent Bell Labs, NJ, and a post-doctoral position with the Center for Networking of Infrastructure Sensors, MD. His research interests lie in the fields of network algorithms, optimization, machine learning, and distributed control, with applications to next-generation networks, mobile/edge/cloud computing, end-to-end service orchestration, and distributed AI. He is a recipient of the 2007 IEEE ISSNIP Best Paper Award, the 2016 IEEE ICC Best Paper Award, and the 2015 Jimmy H.C. Lin Award for Innovation. For more information, please see his webpage at https://engineering.nyu.edu/faculty/jaime-llorca