Demo Data from EDBT 2026 / reviewers in the wild / expert
Tiziana Mannucci
dblp:345/2455
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › computing continuum
cloud-edge continuum |
0.7 | 1 | 2023 | Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum · PERCOM 2023 |
Cloud and datacenter computing › serverless computing
function-as-a-service |
0.7 | 1 | 2023 | Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum · PERCOM 2023 |
Cloud and datacenter computing
serverless computing |
0.7 | 1 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud ContinuumabstractAs 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 |
PERCOM | 2 |