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About BECS 2023

Edge clouds are becoming an important type of computing infrastructure for collecting and processing big data as low-latency and reliable communication technologies such as 5G, and Web of Things (WoT) infrastructures are developed and deployed. Edge clouds are especially useful for efficient and secure data collection and processing for smart cities and smart factories. In edge cloud environments, it is essential to provide Web services for efficiently collecting and processing various types of big data in real-time. In addition, it is necessary to develop a framework for building big data service applications in a reliable and usable manner. The third edition of the BECS workshop aims to provide a venue in which scholars and practitioners can share their experiences and present ongoing work on providing value-added Web services for users by utilizing big data in edge cloud environments.

Workshop Program

The workshop starts at 14:30 CEST on June 6, 2023.
The workshop program is as follows (all time is in Central European Standard Time, CEST):

14:30-14:40 CEST Opening
14:40-15:20 CEST Keynote talk

Service governance on the edge, challenges ahead
Prof. Pablo Fernández, University of Sevilla, Spain

15:20-16:00 CEST Paper session I

A novel priority based scheduler for Asymmetric Multi-core Edge Computing
Rupendra Hada, Abhishek Srivastava* - Indian Institute of Technology Indore, India

SLO-aware DL Job Scheduling for Efficient FPGA-GPU Edge Cloud Computing
Taewoo Kim*, Minsu Jeon, Changha Lee, SeongHwan Kim - Korea Advanced Institute of Science and Technology, South Korea
Fawaz Al-Hazemi - University of Jeddah, Saudi Arabia
Chan-Hyun Youn - Korea Advanced Institute of Science and Technology, South Korea

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

An Analysis about Federated Learning in Low-Powerful Devices
Daniel Flores-Martin - University of Extremadura, Spain
Francisco Díaz-Barrancas - Justus-Liebig University, Germany
Javier Berrocal and Juan Manuel Murillo Rodríguez - University of Extremadura, Spain

IoT-NGIN ML as a Service (MLaaS), MLOPs for IoT
Jorge Mira, Iván Moreno - Atos Research & Innovation, Spain
Hervé Bardisbanian - Capgemini Technology Services, France
Jesús Gorroñogoitia - Atos Research & Innovation, Spain

An Adaptive Spatial-Temporal GPU Scheduling in Edge Cloud Computing Environment [abstract]
Taewoo Kim, Tuan Manh Tao, Khac Tuyen Dinh, Minsu Jeon, Changha Lee, Chan-Hyun Youn - Korea Advanced Institute of Science and Technology, South Korea

16:30-18:00 CEST Paper session II

DESA: Decentralized Self-Adaptive Horizontal Autoscaling for Bursts of Load in Fog Computing
Eunchan Park*, Kyeongdeok Baek, Eunho Cho, In-Young Ko - Korea Advanced Institute of Science and Technology, South Korea

TiME: Time-sensitive Multihop Data Transmission in Software-Defined Edge Networks for IoT
Simran Gurung - St. Xavier's College, Kolkata, India
Ayan Mondal* - Indian Institute of Technology Indore, India

DELCAS: Deep Reinforcement Learning based GPU CaaS Packet Scheduling for Stabilizing QoE in 5GMulti-Access Edge Computing
Changha Lee*, Kyungchae Lee, Gyusang Cho, Chan-Hyun Youn - Korea Advanced Institute of Science and Technology, South Korea

Towards the Integration of Digital Avatars in Urban Digital Twins on the Cloud-to-Thing Continuum
Lorenzo Toro-Gálvez*, Rafael García-Luque, Javier Troya, Carlos Canal, Ernesto Pimentel - Universidad de Málaga, Spain

Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures through Code Recommendation
Sunjae Kwon*, Sungu Lee, Taehyoun Kim - Korea Advanced Institute of Science and Technology, South Korea
Duksan Ryu - Jeonbuk National University, South Korea
Jongmoon Baik - Korea Advanced Institute of Science and Technology, South Korea

18:00-18:05 CEST Closing

Keynote Talk

Service governance on the edge, challenges ahead

  • Speaker

    Prof. Pablo Fernández

    Associate Professor of Software Engineering at the University of Sevilla, Spain

  • Abstract

    Edge Clouds are consolidating in multiple domains since, amongst other benefits, they provide a breeding ecosystem for a new generation of service chains that grow and evolve in a continuum environment that provides unique opportunities for integration and customization. However, this promising interoperability landscape comes with challenges that become apparent as the chain’s complexity arises, such as elasticity, privacy, and capacity management. In this talk, Prof. Pablo Fernández will reflect on some key aspects that should be addressed to embrace these opportunities and successfully govern the creation and operation of services in edge clouds.

  • Biography

    Pablo Fernandez is an Associate Professor of Software Engineering at the University of Sevilla. Throughout his career, he has participated in more than 30 research and transfer projects with extensive collaboration with private companies and public administrations. All this activity has been developed within the Applied Software Engineering Group (ISA Group), contributing to its creation in 2007. Currently, he leads the Service Line, which focuses on evolving service science and engineering in the context of service governance over the cloud continuum. He regularly collaborates with different groups internationally, with more than 60 publications in international journals and conferences; he has been an invited scholar at the University of California, Berkeley, the Technical University of Vienna (TWU), and Newcastle University.

    In recent years, he has been appointed as Director for research resources at the Vice-Chancellor's Office for Research of the University of Sevilla, coordinating the design and evolution of IT Systems to optimize the management and procedures that support the research activity for the community of 4000+ researchers in the University. Before his academic career, he played the roles of Software Architect and Project Manager in different firms, acting as IT Infrastructure supervisor during the Athens 2004 Olympics.

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

  • Jongmoon Baik, Korea Advanced Institute of Science and Technology, South Korea
  • Hamza Baniata, University of Szeged, Hungary
  • Zhipeng Cai, Georgia State University, USA
  • Ben Njima Cheyma, MARS Lab, Tunisia
  • Eunkyoung Jee, Korea Advanced Institute of Science and Technology, South Korea
  • Minsu Jeon, Korea Advanced Institute of Science and Technology, South Korea
  • Minsoo Kim, Korea Advanced Institute of Science and Technology, South Korea
  • Taewoo Kim, Korea Advanced Institute of Science and Technology, South Korea
  • Faïza Loukil, Université Polytechnique Hauts-de-France, France
  • Simon Mayer, University of St.Gallen, Switzerland
  • Ayan Mondal, Indian Institute of Technology Indore, India
  • Martin Musicante, UFRN, Brazil
  • Munam Ali Shah, Department of Computer Science, COMSATS University Islamabad, Pakistan
  • Placido Souza Neto, IFRN, Brazil
  • Victoria Torres, Polytechnic University of Valencia, Spain
  • Javier Troya, University of Málaga, Spain
  • Chan-Hyun Youn, Korea Advanced Institute of Science and Technology, South Korea
  • Seongwook Youn, Korea National University of Transportation

Secretariat

  • Mrs. Song Hee Ham, Korea Advanced Institute of Science and Technology, South Korea

Important Dates

(AoE)
  • Paper submission deadline: April 14, 2023April 21, 2023
  • Notification of acceptance: May 5, 2023May 10, 2023
  • Workshop day: June 6, 2023
  • Camera-ready: July 9, 2023

Paper Submission

Authors are invited to submit full papers (maximum length of 8 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 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. A few high quality submissions will be invited to submit an extended version of the paper to a special issue of the Journal of Web Engineering (indexed in SCIE and in Scopus).

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.

Contact: becs2023@easychair.org

Previous Editions

Editions Date Location
BECS 2022 July 8, 2022 Bari, Italy
BECS 2021 May 18, 2021 Biarritz, France Virtual