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Tiziana Mannucci

dblp:345/2455 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › computing continuum
cloud-edge continuum
0.712023
Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum · PERCOM 2023
Cloud and datacenter computing › serverless computing
function-as-a-service
0.712023
Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum · PERCOM 2023
Cloud and datacenter computing
serverless computing
0.712023
Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum · PERCOM 2023

Methods — techniques the papers use, named apart from their topics

computation offloading · 0.7
YearPublicationVenuePosition
2023 Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum
abstract
As the Function-as-a-Service (FaaS) paradigm enjoys growing popularity within Cloud-based systems, there is increasing interest in moving serverless functions towards the Edge, to better support geo-distributed and pervasive applications. However, enjoying both the reduced latency of Edge and the scalability of FaaS requires new architectures and implementations to cope with typical Edge challenges (e.g., nodes with limited computational capacity). While first solutions have been proposed for Edge-based FaaS, including light function sandboxing techniques, we lack a platform with the ability to span both Edge and Cloud and adaptively exploit both. In this paper, we present Serverledge, a FaaS platform designed for the Edge-to-Cloud continuum. Serverledge adopts a decentralized architecture, where function invocation requests can be fully served within Edge nodes. To cope with load peaks, Serverledge also supports vertical (i.e., from Edge to Cloud) and horizontal (i.e., among Edge nodes) computation offloading. Our evaluation shows that Serverledge outperforms Apache OpenWhisk in an Edge-like scenario and has competitive performance with state-of-the-art frameworks optimized for the Edge, with the advantage of built-in support for vertical and horizontal offloading.
Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti
PERCOM2