The First International Conference on Systems Scalability and Expandability

SCALABILITY 2024

November 17, 2024 to November 21, 2024 - Valencia, Spain

Deadlines

Submission

Sep 16, 2024

Notification

Oct 10, 2024

Registration

Oct 20, 2024

Camera ready

Oct 25, 2024

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

SCALABILITY 2024 - The First International Conference on Systems Scalability and Expandability

November 17, 2024 - November 21, 2024

SCALABILITY 2024: Awards
Onsite and Online Options: In order to accommodate various situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).

The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.

 

Awarded Papers (also Invited for IARIA Journals)

Scalable Software Distribution for HPC-Systems Using MPI-Based File Systems in User Space
Jakob Dieterle, Hendrik Nolte, Julian Kunkel

 

The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.

Papers Invited for IARIA Journals

Total Cost of Ownership: Cloud-based vs. Onboard Vehicle Software Components
Daniel Baumann, Martin Sommer, Eric Sax, Falk Dettinger, Michael Weyrich

A Quantitative and Qualitative Comparison of Machine Learning Inference Frameworks
Egi Brako, Julian Kunkel, Jonathan Decker

 

Technical Co-Sponsors and Logistic Supporters