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About BECS 2026

Edge clouds are emerging as a pivotal computing infrastructure, especially with the advancements in communication technologies like 5G and Web of Things (WoT) infrastructures. They play a significant role in collecting and processing big data efficiently, particularly in smart cities and smart factories. In such environments, the provision of real-time Web services for various data types becomes imperative. Additionally, the creation of a dependable framework for developing big data service applications is crucial. The upcoming sixth edition of the BECS workshop aims to offer a platform for scholars and practitioners to exchange experiences and present ongoing work on delivering enhanced Web services by leveraging big data in edge cloud environments.

Workshop Program

The workshop program is as follows (all time is in Central European Standard Time, CEST):

11:00-11:10 CEST Opening
11:10-11:50 CEST Keynote Talk

LETSGROW research: Soil monitoring for bio-fertilizer and treatment optimization
Michael Mrissa, InnoRenew CoE, University of Primorska, Slovenia

11:50-12:30 CEST Paper Session I (two papers)

[ATLAS] A Budget-Based Frugal Observability Governor for Decentralized Edge Agents: Design, Implementation, and Comparison
Qiao Zhang* - Orange, France

[BECS] An Edge-Cloud Framework for Scalable and Content-Aware Delivery of Whole Slide Images in Pathology Education [paper]
Yu Sung Edward Kim* - KAIST, South Korea
Willmer Rafell Quinones Robles - Axinvent AI Inc., South Korea,
Katherine Po Sin Chung, Nazar Novruzov, Batyrkhan Mukhlis - KAIST, South Korea
Byeong Uk Son - Axinvent AI Inc., South Korea
Eunkyoung Jee - KAIST, South Korea
Ji Young Park - Kyungpook National University, South Korea
In-Young Ko - KAIST

12:30-14:00 CEST Lunch
14:00-15:30 CEST Paper Session II (four papers)

[BECS] EDASC: Event-Driven Adaptive Stream Control for Edge-Cloud Environments [paper]
Daniel Flores-Martin* - COMPUTAEX. Extremadura Supercomputing Center, Spain
Francisco Díaz-Barrancas, Pedro J. Pardo, Javier Berrocal, Juan Manuel Murillo - University of Extremadura, Spain

[BECS] Post-Alignment Hard-Negative-Aware Contrastive Learning for Heterogeneous Defect Prediction in Big-Data Systems [paper]
Sungu Lee* - KAIST, South Korea
Duksan Ryu - Jeonbuk National University, South Korea Jongmoon Baik - KAIST, South Korea

[ATLAS] Empowering Users toward Environmentally Sustainable Digital Practices: From Web-Based to Generative AI Interactions
Mathyas Giudici, Monica Vitali, Marco Brambilla - Politecnico di Milano, Italy

[BECS] Towards a Client-Side HATEOAS-Based Recommender System [paper]
Iuliia Kudiaeva* - University of Primorska, Slovenia

15:30-16:00 CEST Coffee Break & Poster Session

[BECS] Quality-Aware Structuring of Raw Robotic Stream Data [abstract]
Minjae Kim*, Yunseo Choi, Duksan Ryu - Jeonbuk National University, South Korea
Jongmoon Baik - KAIST, South Korea

[BECS] Pipelined Simulation for Autonomous Vehicle in Edge-Cloud Environment: A Case Study [abstract]
Byeongil Bae*, Eunchan Park and In-Young Ko - KAIST, South Korea

16:00-16:40 CEST Paper Session III (two papers)

[BECS] SLM-Based QoS-Aware Server Recommendation for Multi-access Edge Computing [paper]
Yunseo Choi*, Minjae Kim, Duksan Ryu - Jeonbuk National University, South Korea
Jongmoon Baik - KAIST, South Korea

[BECS] A Spectrum of Switching Granularities for Energy-Aware Dynamic Neural Inference for Edge Devices [paper]
Aviral Sharma and Abhishek Srivastava* - Indian Institute of Technology, Indore (IIT Indore), India

16:40-16:50 CEST Closing

Keynote Talk

LETSGROW research: Soil monitoring for bio-fertilizer and treatment optimization

  • Speaker

    Prof. Michael Mrissa, InnoRenew CoE, University of Primorska, Slovenia


  • Summary of the talk

    This talk describes research work developed in the context of the LETSGROW project, that supports research excellence through a fine-tuned research mobility program between academic and non-academic institutions. In this lecture, we explore to what extent edge computing can support privacy-by-design, low-cost, sensor-based solutions for soil monitoring in community gardens and home gardens. We give an overview of the related work in the field, and propose a suitable framework to address the need for data privacy while remaining low-cost and flexible enough to address different types of contexts. Our methodology bridges the gap between soil management techniques and the digital world to create a data-driven feedback loop on the network edge, to enable soil monitoring in the context of community gardens or home gardens.

  • Short bio

    Dr. Michael Mrissa is a Full Professor of Computer Science and Informatics at the University of Primorska, Slovenia, where he serves as the Vice-Rector for Internationalisation. He is also a researcher at the InnoRenew CoE and a member of the Faculty of Mathematics, Natural Sciences and Information Technologies. He received his PhD in 2007 from the Université Claude Bernard Lyon 1, France. His research focuses on service-oriented solutions and semantic reasoning for interoperability and privacy issues in multiple domains, mostly related to distributed Web of Things (WoT) applications.

Topics of Interest

Relevant topics include, but are not limited to:

  • Web services in edge clouds
  • Web of things in edge clouds
  • AI in Edge Computing (Edge AI)
  • Dependable and highly usable big data platforms
  • Distributed data collection, analysis and prediction
  • Stream data processing in edge clouds
  • Big knowledge graphs for distributed edge cloud environments
  • Modeling and mashup of edge cloud services
  • Microservice architecture for edge cloud environments
  • Edge-cloud interaction and collaboration

Workshop Organizers

In-Young Ko

Korea Advanced Institute of Science and Technology (KAIST), Korea

Michael Mrissa

InnoRenew CoE, University of Primorska, Slovenia

Juan Manuel Murillo

University of Extremadura & COMPUTAEX Foundation, Spain

Abhishek Srivastava

Indian Institute of Technology Indore (IIT Indore), India

Technical Program Committee

  • Cheyma Ben Njima, MARS Lab, Tunisia
  • Eunkyoung Jee, Korea Advanced Institute of Science and Technology, South Korea
  • Min-Soo Kim, Korea Advanced Institute of Science and Technology, South Korea
  • Jemin Lee, Yonsei University, South Korea
  • Faïza Loukil, Université Polytechnique Hauts-de-France, France
  • Ayan Mondal, Indian Institute of Technology Indore, India
  • Martin Musicante, UFRN, Brazil
  • Jihun Park, Chungnam National University, South Korea
  • Jongse Park, Korea Advanced Institute of Science and Technology, South Korea
  • Kiran K. Patnaik, Indian Institute of Information Technology, Design, and Management, Gwalior, India
  • Duksan Ryu, Jeonbuk National University, South Korea
  • Nikhil Patne, Amazon Web Services Inc. (AWS), United States

Important Dates

(AoE)
  • Paper submission deadline: March 29, 2026(Extended) April 11, 2026
  • Notification of acceptance: April 29, 2026
  • Workshop day: June 9, 2026
  • Camera-ready: June 30, 2026

Paper Submission

Authors are invited to submit full papers (maximum length of 12 pages, including all references and figures) or short/demo papers (maximum length of 6 pages, including all references and figures). Papers should be formatted according to Springer’s LNCS formatting guidelines.

All papers should be submitted through the EasyChair platform.

Accepted papers will be included in the post-workshop proceedings to appear in Springer's CCIS series. For each accepted paper, at least one author must attend the workshop and present the paper. Registration is subject to the terms and conditions of ICWE.

Selected high-quality submissions will be invited to submit an extended version of their paper to a special issue of the Journal of Web Engineering (indexed in SCIE and Scopus).

Contact: becs2026@easychair.org

Previous Editions

Editions Date Location
BECS 2025 June 30, 2025 Delft, Netherlands
BECS 2024 June 17, 2024 Tampere, Finland
BECS 2023 June 6, 2023 Alicante, Spain
BECS 2022 July 8, 2022 Bari, Italy
BECS 2021 May 18, 2021 Biarritz, France Virtual