Prof. Antonia M. Tulino & Prof. Jaime Llorca, University of Naples Federico II


5G networks are envisioned to support a wide range of services with diverse performance requirements over a common physical infrastructure. Such services go beyond traditional communication services that deal with the efficient delivery of information from sources to destinations, and involve the real-time processing of source streams via possibly multiple functions that can be executed at different compute-enabled network locations. Examples include augmented experience services such as virtual/augmented reality, immersive video, and telepresence, as well as automation services such as smart homes/buildings/cities, industrial automation, and autonomous transportation. This chapter covers recent advances around the design of algorithms and protocols for the end-to-end optimization and dynamic control of real-time computation services over cloud-integrated 5G networks. A new multi-commodity-chain (MCC) flow model, shown to generalize traditional multi-commodity flow by including flow chaining, flow scaling, and joint communication/computation resource allocation, is introduced. Building on the MCC model, we describe how to characterize the capacity of distributed computing networks and present throughput-optimal algorithms that jointly schedule computation and communication resources in order to drive the real-time processing of network flows through the appropriate sequence of service functions, before being delivered to the corresponding destinations.

Thursday, July 23rd
Italian time: 9:00-11:00 seminar, 11:00-12:00 Match-making
Chinese time: 15:00-17:00 seminar, 17:00-18:00 Match-making

Prof. Antonia M. Tulino a full professor at Universita’ degli Studi di Napoli Federico II. She held research positions with the Center for Wireless Communications, Princeton University, Oulu, Finland, and also with the Universita’ degli Studi del Sannio, Benevento, Italy. Since 2019, she is Research Professor at Dep. of Electrical and Computer Engineering NYU Tandon School of Engineering, also director of the 5G Academy jointly organized by the Università degli Studi di Napoli, Federico II and Capgemini leader in digital transformation.
She has received several paper awards, including the 2009 Stephen O. Rice Prize in the Field of Communications Theory. She was recipient of the UC3M-Santander Chair of Excellence from 2018 to 2019 and selected by the National Academy of Engineering for the Frontiers of Engineering program in 2013.

Prof. Jaime Llorca is a Technology Consultant and Research Professor with the New York University Tandon School of Engineering, Brooklyn, NY. He received M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland, and held a post-doctoral position with the Center for Networking of Infrastructure Sensors, College Park, MD. He then spent 6 years as a Communication Networks Research Scientist with the End-to-End Networking Group at Alcatel-Lucent Bell Labs, NJ, and 4 years as a Senior Research Scientist with the Network Algorithms Group at Nokia Bell Labs, NJ. He currently is Associate Editor for the IEEE/ACM Transactions on Networking. He has received several paper awards and the 2015 Jimmy H.C. Lin Award for Innovation.