Special Issue on Advances in Distributed Data Processing and Event-Based Systems Submission Date: 2025-10-10 This special issue for Elsevier's Information Systems journal focuses on contributions within the intersection of distributed systems and event-based data processing architectures. The aim of the special issue is to feature extended versions of selected best papers from the ACM Conference on Distributed and Event-Based Systems (DEBS), in addition to novel entries in the same area. This special issue will present cutting-edge systems research, novel methods, and architectures for the quickly evolving field of event-based data processing. This includes but is not limited to event-based models, optimisations, middleware and system solutions for applications in data streaming, datalakes, approximate computing, stateful serverless computing, incremental view maintenance, spatial computing, and eventually consistent databases.

The selected contributions will form a cohesive collection exploring the following themes:

Models, architectures, and query support for event-based systems: Novel event-based programming models, distributed architectures, and advanced query languages tailored to scalable data processing.

Efficient data stream and state management: Methods and tools for distributed state management, time-series databases, incremental view maintenance, and approximate query processing to improve system efficiency.

Event-based systems for AI/ML pipelines: Techniques to optimize feature engineering, distributed model training, and real-time inference within event-driven architectures, as well as leveraging AI/ML to enhance event-based system performance.

Hardware and network optimizations: Innovations in hardware acceleration, programmable networking, software-defined infrastructures, and disaggregated memory architectures for high-performance event processing.

Security, resilience, and sustainability: Addressing challenges in securing event-based systems, ensuring reliability, and designing for energy-efficient and sustainable architectures.

Applications and use cases in real-world scenarios: Implementation of event-based systems in domains such as IoT, smart cities, cyber-physical systems, healthcare, multimedia analytics, enterprise applications, and finance.

Guest editors:

Assoc. Prof. Paris Carbone (Executive Guest Editor)

Department of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

Email: parisc@kth.se

Areas of Expertise: Data Stream Processing, Stateful Serverless, Distributed Algorithms, Consensus

Prof. Valeria Cardellini

Department of Civil Engineering and Computer Science Engineering, Tor Vergata University of Rome, Roma, Italy

Email: cardellini@ing.uniroma2.it

Areas of Expertise: Cloud and Edge distributed systems and services, Data stream processing

Prof. Khuzaima Daudjee

Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada

Email: khuzaima.daudjee@uwaterloo.ca

Areas of Expertise: Data Systems and Networks, Large-scale systems, storage and infrastructure in the cloud and on modern hardware

Manuscript submission information:

Important Dates:

Submission Open Date: May 15, 2025

Submission Deadline: October 10, 2025

Editorial Acceptance Deadline: April 30, 2026

Submission Guidelines:

All manuscripts should be submitted electronically through Editorial Manager® at https://www.editorialmanager.com/infosys/default.aspx. When submitting papers, please select the Article Type as "VSI: Distributed Data Processing and Event-Based Systems".

Authors should prepare their manuscripts according to the "Guide for Authors" of the Information Systems outlined at the journal website.

All papers will be peer-reviewed following a regular reviewing procedure.

For any further information, the authors may contact the Guest Editors.

Keywords:

stream processing, event-based systems, distributed systems