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Local or Edge/Cloud Processing for Data Freshness

Munari, Andrea and Cola, Tomaso and Badia, Leonardo (2023) Local or Edge/Cloud Processing for Data Freshness. IEEE Globecom, 4-8 Dec 2023, Kuala Lumpur, Malaysia. (In Press)

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Several actuation choices in the Internet of things (IoT) require state information to be up-to-date. In this context, the choice between local processing and offloading to a more powerful remote server can have a significant impact on data freshness. Local processing is indeed typically less reliable due to limited computing power and may require multiple attempts, which can result in data becoming stale. Conversely, remote (i.e., edge/cloud) processing can more reliable, yet entail longer response times due to data transmission to an external server, possibly performing processor sharing with other tasks. The optimal balance depends on the specific system conditions, especially on the congestion at the remote server, and is in general non-trivial. We explore this tradeoff by giving a mathematical model for such a system, and argue about the derivation of a freshness-efficient local vs. remote split of requests, providing insights on the role played by reliability and latency in selecting the optimal strategy.

Item URL in elib:https://elib.dlr.de/196627/
Document Type:Conference or Workshop Item (Lecture)
Title:Local or Edge/Cloud Processing for Data Freshness
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Munari, AndreaUNSPECIFIEDhttps://orcid.org/0000-0003-1506-2792UNSPECIFIED
Badia, LeonardoUniversity of PadovaUNSPECIFIEDUNSPECIFIED
Date:December 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Status:In Press
Keywords:Age of information; Edge computing; Signal flow graphs; Mathematical modeling
Event Title:IEEE Globecom
Event Location:Kuala Lumpur, Malaysia
Event Type:international Conference
Event Dates:4-8 Dec 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication, Navigation, Quantum Technology
DLR - Research area:Raumfahrt
DLR - Program:R KNQ - Communication, Navigation, Quantum Technology
DLR - Research theme (Project):R - Global Connectivity for People and Machines
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Satellite Networks
Deposited By: Munari, Dr. Andrea
Deposited On:21 Aug 2023 15:47
Last Modified:21 Aug 2023 15:47

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