Superprocesses as models for information dissemination in the Future Internet
Laura Sacerdote, Michele Garetto, Federico Polito, Matteo Sereno

TL;DR
This paper proposes using super Brownian motion, a type of superprocess, as a mathematical model to analyze and simulate information dissemination in the emerging Proximate Internet, characterized by interconnected devices and services.
Contribution
It introduces super Brownian motion as a novel analytical framework for modeling information spread in large-scale, interconnected networks like the Proximate Internet.
Findings
Provides a theoretical analysis of information dissemination dynamics.
Develops simulation schemes for large-scale systems.
Offers insights into the properties of information spread.
Abstract
Future Internet will be composed by a tremendous number of potentially interconnected people and devices, offering a variety of services, applications and communication opportunities. In particular, short-range wireless communications, which are available on almost all portable devices, will enable the formation of the largest cloud of interconnected, smart computing devices mankind has ever dreamed about: the Proximate Internet. In this paper, we consider superprocesses, more specifically super Brownian motion, as a suitable mathematical model to analyse a basic problem of information dissemination arising in the context of Proximate Internet. The proposed model provides a promising analytical framework to both study theoretical properties related to the information dissemination process and to devise efficient and reliable simulation schemes for very large systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
