Due to the current COVID-19 situation, the workshop will be held online.

About BECS 2021

Edge clouds are becoming an important computing infrastructure for collecting and processing big data as low-latency and reliable communication technologies such as 5G, and Web of Things (WoT) 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 by 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. This workshop aims to provide a venue in which scholars and practitioners can share their experiences and present on-going work on providing value-added web services for users by utilizing big data in edge cloud environments.

Workshop Program

The workshop starts at 9:00 a.m. CEST on Tuesday, May 18, 2021.
The workshop program is as follows (all time is in Central European Standard Time, CEST):

09:00-09:15 CEST Opening
09:15-10:00 CEST Keynote talk

Distributing Intelligence in the Cloud-to-Edge Continuum
Dr. Domenico Siracusa,
Head of the RiSING Research Unit at Fondazione Bruno Kessler (FBK), Italy

10:00-10:40 CEST Paper session I

Putting Data Science Pipelines on the Edge
Ali Akoglu (University of Arizona, U.S.A.) and Genoveva Vargas-Solar (French Council of Scientific Research CNRS, LIRIS-LAFMIA, France)

DNN Model Deployment on Distributed Edges
Eunho Cho, Juyeon Yoon, Daehyeon Back, Dongman Lee and Doo-Hwan Bae, Korea Advanced Institute of Science and Technology, South Korea

10:40-11:00 CEST Break
11:00-12:20 CEST Paper session II

Towards Proactive Context-Aware IoT Environments by means of Federated Learning
Rubén Rentero-Trejo, Daniel Flores-Martín, Jaime Galán-Jiménez, José García-Alonso, Juan Manuel Murillo and Javier Berrocal, Universidad de Extremadura, Spain

Real-time Deep Learning-based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink
Tae Wook Ha, Jung Mo Kang and Myoung Ho Kim, Korea Advanced Institute of Science and Technology, South Korea

A Novel Approach to Dynamic Pricing for Cloud Computing Through Price Band Prediction
Dheeraj Rane, Vaishali Chourey and Ishan Indraniya, Medi-Caps University Indore, India

Learning-based Activation of Energy Harvesting Sensors for Fresh Data Acquisition
Sinwoong Yun, Dongsun Kim and Jemin Lee, Daegu Gyeongbuk Institute of Science and Technology, South Korea

12:20-12:30 CEST Closing

Keynote Talk

Distributing Intelligence in the Cloud-to-Edge Continuum

  • Speaker

    Dr. Domenico Siracusa

    Head of the RiSING Research Unit at Fondazione Bruno Kessler (FBK), Italy

  • Abstract

    Progressive digitalisation, advances in communication technologies and the increasing complexity of IoT-based and Artificial Intelligence applications are fostering the need to support fine-grained, dynamic management of resources on the Cloud-to-Edge continuum. This talk presents the vision proposed by the EU-Korea project DECENTER to create and deploy cloud-native applications over heterogeneous and distributed computing environments. The talk will then discuss the application of the developed technlogies in real-world pilot scenarios stemming from smart city and robotic logistics environments, providing insights on outcomes and open challenges.

  • Biography

    Domenico Siracusa is the head of the RiSING research unit at Fondazione Bruno Kessler (FBK). He received his Master’s Degree in Telecommunication Engineering and his PhD in Information Technology both at Politecnico di Milano, respectively in 2008 and 2012. He is currently pursuing an Executive MBA in Business Innovation at the MIB Trieste School of Management.

    His research interests include service orchestration and management, cloud and fog computing, SDN/NFV and virtualization, security and robustness. Domenico authored more than 100 publications appeared in international peer reviewed journals and in major conferences on networking technologies.

    Domenico acted as proposal leader and scientific manager for both competitive EU-funded projects and commercial activities with important telecommunication vendors. He is project manager and technical leader of the H2020 EU-Korea DECENTER Project. In the past, he has been the coordinator of the ACINO project and the activity leader of the EIT Digital DigiFlow project, and was involved as principal investigator, workpackage leader or contributor in other FP7/H2020, EIT digital and commercial projects.

Position Papers

  • Spatial Path Selection and Network Topology Optimisation in P2P Anonymous Routing Protocols

    Aleksandar Tošić and Jernej Vičič, University of Primorska, Slovenia

  • In-Network Convolution in Grid Shaped Sensor Networks

    Niki Hrovatin, Aleksandar Tošić and Jernej Vičič, University of Primorska, Slovenia

  • QoS Prediction based on the Distance Between User and Server Nodes in Edge Computing

    Jaewook Lee (Jeonbuk National University, South Korea), Jiwon Choi (Jeonbuk National University, South Korea), Duksan Ryu (Jeonbuk National University, South Korea) and Jongmoon Baik (Korea Advanced Institute of Science and Technology, South Korea)

  • Exploiting Triangle Patterns for Heterogeneous Graph Attention Network

    Eunjeong Yi (Daegu Gyeongbuk Institute of Science and Technology, South Korea) and Min-Soo Kim (Korea Advanced Institute of Science and Technology, South Korea)

Registration Information

For each accepted research paper, at least one author needs to have an ICWE 2021 registration and pay the registration fee. This registration should be done before April 27th, 2021 for having the paper included in the post-conference workshop proceedings.

Registration fee is 100 Euro and includes admission to the technical program comprising technical sessions, keynotes, tutorials, specialized workshops, and a PhD Symposium, all taking place live online.

You can register for ICWE 2021 here: https://icwe2021.webengineering.org/registration-2

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)

Abhishek Srivastava

Indian Institute of Technology Indore (IIT Indore), India

Michael Mrissa

InnoRenew CoE, University of Primorska, Slovenia

Technical Program Committee

  • Doo-Hwan Bae, Korea Advanced Institute of Science and Technology, South Korea
  • Jongmoon Baik, Korea Advanced Institute of Science and Technology, South Korea
  • Bhaskar Biswas, Indian Institute of Technology BHU (Varanasi), India
  • Zhipeng Cai, Georgia State University, USA
  • Javier Espinosa, U. Lyon 2, France
  • Chirine Ghedira, Universite de Lyon, France
  • Eunkyoung Jee, Korea Advanced Institute of Science and Technology, South Korea
  • Jeehoon Kang, Korea Advanced Institute of Science and Technology, South Korea
  • Minsoo Kim, Korea Advanced Institute of Science and Technology, South Korea
  • Myoung-Ho Kim, Korea Advanced Institute of Science and Technology, South Korea
  • Jemin Lee, Daegu Gyeongbuk Institute of Science and Technology, South Korea
  • Faïza Loukil, Université Polytechnique Hauts-de-France, France
  • Martin Musicante, UFRN, Brazil
  • Placido Souza Neto, IFRN, Brazil
  • Cheyma Ben Njima, MARS Lab, Tunisia
  • Jongse Park, Korea Advanced Institute of Science and Technology, South Korea
  • Kiran K. Patnaik, Indian Institute of Information Technology, Design, and Management, Gwalior, India
  • Prabhat K. Upadhyay, Indian Institute of Technology Indore, India
  • Jules M. Moualeu, University of Witwatersrand, Johannesburg, South Africa
  • Genoveva Vargas-Solar, U. Grenoble, France

Reviewers

  • Sidra Aslam, InnoRenew CoE, University of Primorska, Slovenia
  • KyeongDeok Baek, Korea Advanced Institute of Science and Technology, South Korea
  • Young-Min Baek, Korea Advanced Institute of Science and Technology, South Korea
  • Ankit Kumar Jain, Department of Computer Science and Engineering, IIT Indore
  • Jong-In Jang, Korea Advanced Institute of Science and Technology, South Korea
  • Minhyeop Kim, Korea Advanced Institute of Science and Technology, South Korea
  • Arun Kumar, Department of Computer Science and Engineering, IIT Indore
  • Nak-Won Lee, Korea Advanced Institute of Science and Technology, South Korea
  • Zelalem Mihret, Korea Advanced Institute of Science and Technology, South Korea
  • Jiyoung Song, Korea Advanced Institute of Science and Technology, South Korea
  • Gyan Prakash Tiwary, Department of Computer Science and Engineering, IIT Indore

Important Dates

(23h 59 Hawaii Time)
  • Paper submission deadline: February 27, 2021March 6, 2021
  • Notification of acceptance: April 19, 2021
  • Camera-ready: June 18, 2021

Paper Submission

Authors are invited to submit an original paper in English. All submissions will have peer reviews by the technical program committee.

Contribution types

  • Full papers - maximum 12 pages including references
  • Short/demo papers - maximum 6 pages including references

All papers should be formatted according to the Springer’s LNCS formatting guidelines , and submitted via EasyChair.

Accepted papers will be included in the post-workshop proceedings to appear in Springer's LNCS 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.