activity
20092024
most citedDelay and Price Differentiation in Cloud Computing: A Service Model, Supporting Architectures, and Performance

2 citations · 8 across the 11 of their papers we have counts for

collaborators

12 papers

cs.NI2024★ 1 cited

Optimal Flow Admission Control in Edge Computing via Safe Reinforcement Learning

A. Fox, F. De Pellegrini, F. Faticanti +2

With the uptake of intelligent data-driven applications, edge computing infrastructures necessitate a new generation of admission control algorithms to maximize system performance…

cs.DC2023★ 1 cited

Weighted Scheduling of Time-Sensitive Coflows

Olivier Brun, Rachid El-Azouzi, Quang-Trung Luu +3

Datacenter networks commonly facilitate the transmission of data in distributed computing frameworks through coflows, which are collections of parallel flows associated with a comm…

cs.DC2022★ 2 cited

Fair Coflow Scheduling via Controlled Slowdown

Francesco De Pellegrini, Vaibhav Kumar Gupta, Rachid El Azouzi +3

The average coflow completion time (CCT) is the standard performance metric in coflow scheduling. However, standard CCT minimization may introduce unfairness between the data trans…

cs.NI2022

Joint Traffic Offloading and Aging Control in 5G IoT Networks

Naresh Modina, Rachid El-Azouzi, Francesco De Pellegrini +2

The widespread adoption of 5G cellular technology will evolve as one of the major drivers for the growth of IoT-based applications. In this paper, we consider a Service Provider (S…

cs.PF2020★ 2 cited

Delay and Price Differentiation in Cloud Computing: A Service Model, Supporting Architectures, and Performance

Xiaohu Wu, Francesco De Pellegrini, Giuliano Casale

Many cloud service providers (CSPs) provide on-demand service at a price with a small delay. We propose a QoS-differentiated model where multiple SLAs deliver both on-demand servic…

cs.DC2017★ 1 cited

Performance Analysis of QoS-Differentiated Pricing in Cloud Computing: An Analytical Approach

Xiaohu Wu, Francesco De Pellegrini

A fundamental goal in the design of IaaS service is to enable both user-friendly and cost-effective service access, while attaining high resource efficiency for revenue maximizatio…

cs.GT2016

Competitive Caching of Contents in 5G Edge Cloud Networks

Francesco De Pellegrini, Antonio Massaro, Leonardo Goratti +1

The surge of mobile data traffic forces network operators to cope with capacity shortage. The deployment of small cells in 5G networks is meant to reduce latency, backhaul traffic…

cs.MM2016★ 1 cited

Backward-Shifted Coding (BSC) based on Scalable Video Coding for HAS

Zakaria Ye, Rachid El-Azouzi, Tania Jimenez +1

The main task of HTTP Adaptive Streaming is to adapt video quality dynamically under variable network conditions. This is a key feature for multimedia delivery especially when qual…

math.OC2016

Optimal curing policy for epidemic spreading over a community network with heterogeneous population

Stefania Ottaviano, Francesco De Pellegrini, Stefano Bonaccorsi +1

The design of an efficient curing policy, able to stem an epidemic process at an affordable cost, has to account for the structure of the population contact network supporting the…

cs.SI2013

Differential Games of Competition in Online Content Diffusion

Francesco De Pellegrini, Alexandre Reiffers, Eitan Altman

Access to online contents represents a large share of the Internet traffic. Most such contents are multimedia items which are user-generated, i.e., posted online by the contents' o…

cs.NI2013

Not Always Sparse: Flooding Time in Partially Connected Mobile Ad Hoc Networks

Lorenzo Maggi, Francesco De Pellegrini

In this paper we study mobile ad hoc wireless networks using the notion of evolving connectivity graphs. In such systems, the connectivity changes over time due to the intermittent…

cs.NI2009

Optimal Control in Two-Hop Relay Routing

Eitan Altman, Tamer Basar, Francesco De Pellegrini

We study the optimal control of propagation of packets in delay tolerant mobile ad-hoc networks. We consider a two-hop forwarding policy under which the expected number of nodes ca…