Publications (40)
End-to-End Orchestration of NextG Media Services over the Distributed Compute Continuum
Alessandro Mauro, Antonia Maria Tulino, Jaime Llorca
NextG (5G and beyond) networks, through the increasing integration of cloud/edge computing technologies, are becoming highly distributed compute platforms ideally suited to host em…
Mobile Edge Computing Network Control: Tradeoff Between Delay and Cost
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
As mobile edge computing (MEC) finds widespread use for relieving the computational burden of compute- and interaction-intensive applications on end user devices, understanding the…
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…
Nuclear Atomic Norm for parametric estimation of sparse channels
Ãlvaro Callejas-Ramos, Matilde Sánchez-Fernández, Antonia Tulino +1
Parametric channel estimation in mmWave not only enables the anticipated large spectral efficiency gains of \acs{MIMO} systems but also reveals important propagation parameters, al…
Dynamic Cloud Network Control under Reconfiguration Delay and Cost
Chang-Heng Wang, Jaime Llorca, Antonia M. Tulino +1
Network virtualization and programmability allow operators to deploy a wide range of services over a common physical infrastructure and elastically allocate cloud and network resou…
Speeding up Future Video Distribution via Channel-Aware Caching-Aided Coded Multicast
Angela Sara Cacciapuoti, Marcello Caleffi, Mingyue Ji +2
Future Internet usage will be dominated by the consumption of a rich variety of online multimedia services accessed from an exponentially growing number of multimedia capable mobil…
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…
Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff
Vahid Jamali, Antonia Tulino, Jaime Llorca +1
Semi-supervised classification, one of the most prominent fields in machine learning, studies how to combine the statistical knowledge of the often abundant unlabeled data with the…
Decentralized Control of Distributed Cloud Networks with Generalized Network Flows
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
Emerging distributed cloud architectures, e.g., fog and mobile edge computing, are playing an increasingly important role in the efficient delivery of real-time stream-processing a…
Correlation-Aware Distributed Caching and Coded Delivery
Parisa Hassanzadeh, Antonia Tulino, Jaime Llorca +1
Cache-aided coded multicast leverages side information at wireless edge caches to efficiently serve multiple groupcast demands via common multicast transmissions, leading to load r…
SPARQ: An Optimization Framework for the Distribution of AI-Intensive Applications under Non-Linear Delay Constraints
Pietro Spadaccino, Paolo Di Lorenzo, Sergio Barbarossa +2
Next-generation real-time compute-intensive applications, such as extended reality, multi-user gaming, and autonomous transportation, are increasingly composed of heterogeneous AI-…
An Efficient Coded Multicasting Scheme Preserving the Multiplicative Caching Gain
Giuseppe Vettigli, Mingyue Ji, Antonia M. Tulino +2
Coded multicasting has been shown to be a promis- ing approach to significantly improve the caching performance of content delivery networks with multiple caches downstream of a co…
Rate-Memory Trade-off for the Two-User Broadcast Caching Network with Correlated Sources
Parisa Hassanzadeh, Antonia Tulino, Jaime Llorca +1
This paper studies the fundamental limits of caching in a network with two receivers and two files generated by a two-component discrete memoryless source with arbitrary joint dist…
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…
Approximation Algorithms for the NFV Service Distribution Problem
Hao Feng, Jaime Llorca, Antonia M. Tulino +2
Distributed cloud networking builds on network functions virtualization (NFV) and software defined networking (SDN) to enable the deployment of network services in the form of elas…
A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications
Ozan Aygün, Vincenzo Norman Vitale, Antonia M. Tulino +3
Next-generation networks aim to provide performance guarantees to real-time interactive services that require timely and cost-efficient packet delivery. In this context, the goal i…
Optimal Dynamic Cloud Network Control
Hao Feng, Jaime Llorca, Antonia M. Tulino +1
Distributed cloud networking enables the deployment of a wide range of services in the form of interconnected software functions instantiated over general purpose hardware at multi…
Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
Caching at the wireless edge can be used to keep up with the increasing demand for high-definition wireless video streaming. By prefetching popular content into memory at wireless…
Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks
Konstantinos Poularakis, Jaime Llorca, Antonia M. Tulino +2
The proliferation of innovative mobile services such as augmented reality, networked gaming, and autonomous driving has spurred a growing need for low-latency access to computing r…
Optimal Control of Wireless Computing Networks
Hao Feng, Jaime Llorca, Antonia M. Tulino +1
Augmented information (AgI) services allow users to consume information that results from the execution of a chain of service functions that process source information to create re…
Fundamental Limits of Erasure-Coded Key-Value Stores with Side Information
Ramy E. Ali, Viveck Cadambe, Jaime Llorca +1
In applications of distributed storage systems to modern key-value stores, the stored data is highly dynamic due to frequent updates. The multi-version coding problem was formulate…
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…
On the Average Performance of Caching and Coded Multicasting with Random Demands
Mingyue Ji, Antonia M. Tulino, Jaime Llorca +1
For a network with one sender, receivers (users) and possible messages (files), caching side information at the users allows to satisfy arbitrary simultaneous demands by se…
MuMeNet: A Network Simulator for Musical Metaverse Communications
Ali Al Housseini, Jaime Llorca, Luca Turchet +3
The Metaverse, a shared and spatially organized digital continuum, is transforming various industries, with music emerging as a leading use case. Live concerts, collaborative compo…
Gridless Multidimensional Angle of Arrival Estimation for Arbitrary 3D Antenna Arrays
Matilde Sánchez-Fernández, Vahid Jamali, Jaime Llorca +1
A full multi--dimensional characterization of the angle of arrival (AoA) has immediate applications to the efficient operation of modern wireless communication systems. In this wor…
Caching-Aided Coded Multicasting with Multiple Random Requests
Mingyue Ji, Antonia Tulino, Jaime Llorca +1
The capacity of caching networks has received considerable attention in the past few years. A particularly studied setting is the shared link caching network, in which a single sou…
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…
Optimal Control of Distributed Computing Networks with Mixed-Cast Traffic Flows
Jianan Zhang, Abhishek Sinha, Jaime Llorca +2
Distributed computing networks, tasked with both packet transmission and processing, require the joint optimization of communication and computation resources. We develop a dynamic…
Resilient and Reliable Cloud Network Control for Mission-Critical Latency-Sensitive Service Chains
Chin-Wei Huang, Jaime Llorca, Antonia M. Tulino +1
The proliferation of mission-critical latency-sensitive services has intensified the demand for next-generation cloud-integrated networks to guarantee both reliable and resilient s…
An Efficient Multiple-Groupcast Coded Multicasting Scheme for Finite Fractional Caching
Mingyue Ji, Karthikeyan Shanmugam, Giuseppe Vettigli +3
Coded multicasting has been shown to improve the caching performance of content delivery networks with multiple caches downstream of a common multicast link. However, the schemes t…
Finite Length Analysis of Caching-Aided Coded Multicasting
Karthikeyan Shanmugam, Mingyue Ji, Antonia M. Tulino +2
In this work, we study a noiseless broadcast link serving users whose requests arise from a library of files. Every user is equipped with a cache of size files each. It…
On Coding for Cache-Aided Delivery of Dynamic Correlated Content
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
Cache-aided coded multicast leverages side information at wireless edge caches to efficiently serve multiple unicast demands via common multicast transmissions, leading to load red…
Broadcast Caching Networks with Two Receivers and Multiple Correlated Sources
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
The correlation among the content distributed across a cache-aided broadcast network can be exploited to reduce the delivery load on the shared wireless link. This paper considers…
Order-Optimal Rate of Caching and Coded Multicasting with Random Demands
Mingyue Ji, Antonia M. Tulino, Jaime Llorca +1
We consider the canonical {\em shared link network} formed by a source node, hosting a library of information messages (files), connected via a noiseless common link to des…
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…
Active learning in the geometric block model
Eli Chien, Antonia Maria Tulino, Jaime Llorca
The geometric block model is a recently proposed generative model for random graphs that is able to capture the inherent geometric properties of many community detection problems,…
Joint Compute-Caching-Communication Control for Online Data-Intensive Service Delivery
Yang Cai, Jaime Llorca, Antonia M. Tulino +1
Emerging Metaverse applications, designed to deliver highly interactive and immersive experiences that seamlessly blend physical reality and digital virtuality, are accelerating th…
Rate-Memory Trade-Off for Caching and Delivery of Correlated Sources
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
This paper studies the fundamental limits of content delivery in a cache-aided broadcast network for correlated content generated by a discrete memoryless source with arbitrary joi…
Cache-Aided Coded Multicast for Correlated Sources
Parisa Hassanzadeh, Antonia Tulino, Jaime Llorca +1
The combination of edge caching and coded multicasting is a promising approach to improve the efficiency of content delivery over cache-aided networks. The global caching gain resu…
Caching and Coded Multicasting: Multiple Groupcast Index Coding
Mingyue Ji, Antonia M. Tulino, Jaime Llorca +1
The capacity of caching networks has received considerable attention in the past few years. A particularly studied setting is the case of a single server (e.g., a base station) and…