IMPORTANT INFORMATION FOR COMPSAC 2022 AUTHORS 

Because of uncertainties related to Covid 19, COMPSAC 2022, currently planned as an in-person event to be held in Turin, Italy, may be conducted in a hybrid format – with some sessions in-person and some over the Internet. If the conference format is hybrid, authors of accepted papers will be able to decide to present their papers either virtually or in-person in Turin. 

However, if the pandemic worsens, the conference will be completely virtual as it was in 2020 and 2021, and all presentations will be done virtually. We will announce in the submission acceptance letters to authors whether the conference will be hybrid or virtual. Registration fees will be adjusted to reflect the format of the conference.

IEEE International Workshop on Big Data Processing on the Computing Continuum (BDPROC2022)

Goal of the workshop:

The aim of the BDPROC workshop is to promote exchanging ideas and foster cooperation between academic researchers, software practitioners and domain specialists in the area of Big Data processing on the Computing Continuum including Edge/Fog/Cloud infrastructures.

Workshop theme:

Cloud computing has been a major disruptive technology in the last decade providing resources-as-a-service for diverse Internet applications. While Cloud offers elastic capacity and customisable connectivity over a largescale network, the resilience, sustainability and human-centric collaborative requirements of Big Data processing applications demand an interoperable end-to-end ecosystem design that pushes the infrastructure services, traditionally bounded within data centres, towards remote nodes closer to the data sources. The Computing Continuum federates Cloud services with emerging Edge and Fog computing paradigms. The Computing Continuum enables new opportunities for supporting Big Data processing, but requires efficient management of heterogeneous and untrusted resources.

Scope of the workshop:

Researchers and practitioners from both academia and industry, working in the areas of Big Data processing, Cloud/Fog/Edge computing, cloud security and applications are invited to discuss new ideas, solutions and experience in developing theory, methodology, systems and applications for processing Big Data in Computing Continuum. Topics of interest include, but are not limited to, the following:

  • Methodologies for Big Data Processing in Computing Continuum
  • Big Data Pipelines in Computing Continuum
  • Data and Process Discovery in Computing Continuum
  • Domain Specific Languages for Computing Continuum
  • Simulation Tools for Computing Continuum
  • Deployment and Adaptation of Big Data Pipelines
  • Trust, Security and Privacy for Systems Operating in Computing Continuum
  • Resources Management in Computing Continuum
  • Applications Working in Computing Continuum
  • Legal Aspects of Operation in Computing Continuum

Likely participants: Researches, software developers from industry and domain specialist working on Big Data processing are expected participants of the workshop for exchange of ideas and experience.

Please visit Information for Authors for formatting instructions, page limits, and IEEE paper templates.

Important dates for submission and notification are listed here.

Workshop Organizers

Mihhail Matskin, Royal Institute of Technology – KTH, Sweden
Email: misha@kth.se

Dumitru Roman, SINTEF AS (Norway)
Email: Dumitru.Roman@sintef.no

Radu Prodan, University of Klagenfurt (Austria)
Email: radu.prodan@aau.at

Andrea Marrella, Sapienza Università di Roma (Italy)
Email: marrella@diag.uniroma1.it

Program Committee

(to be confirmed)

Dragi Kimovski, University of Klagenfurt, Austria

Amir Payberah, Royal Institute of Technology (KTH), Sweden

Nikolay Nikolov, SINTEF, Norway

Anthony Simonet-Boulogne, iExec, France

Dario Benvenuti, Sapienza Università di Roma, Italy

Giannis Ledakis, Ubitech, Greece

Fernando Perales, JOT, Spain

Alexandre Ulisses, MOG, Portugal

Evgeny Kharlamov, Bosch, Germany

Arnor Solberg, Tellu, Norway

Lisa Ehrlinger, SCCH, Austria

Arkady Zaslavsky, Deakin University , Australia

Ladislau Bölöni, University of Central California, USA,

Peep Kungas, SOA Trader, Estonia

Ahmet Soylu, OsloMet, Norway

Akif Quddus Khan, NTNU, Norway