Track: ECT-24: Emerging Computing Technologies

 

Motivation:

New technologies are commonly introduced in the software industry. From new computing paradigms such as quantum computing, neuromorphic computing, AI, Cloud, but also new programming languages or technologies to support these paradigms.

When adopting a new hyping technology, companies need to carefully understand if the technology is suitable for their purpose, and if the benefits surpass the issues.

ECT-23 aims to bring together researchers addressing new technological issues from different communities to promote discussions and collaborations. The goal is to help disseminate novel computing practices and solutions as well as identify future challenges and dimensions. To this end, the ECT-24 track will foster a more interactive participation model, in which authors, invited speakers and attendees will be encouraged to socially engage beyond the planned workshop activities.

ECT is looking for full research papers, short papers, industrial reports,  tool demo papers, and posters.

 

Examples of Emerging Computing Technologies topics include, but are not limited, to:

  • Cloud-Based Systems and DevOps
    • Fog and Edge Computing
    • Microservices, Serverless, Nano Services, Unikernels…
  • AI on the Cloud Continuum
    • AI@Edge, AI Orchestration
    • AI (good/bad) practices
  • Blockchain Technologies
  • Quantum computing
    • hybrid applications (quantum and classical computing)
    • quantum software engineering including but not limited to requirements engineering, modeling, development, testing, and debugging
    • quantum circuit optimization and compilation
    • noise learning and mitigation at the application levels
  • Neuromorphic Computing

 

Track/Session Organizers

  • Rui Abreu, University of Porto and Meta Inc, rui@computer.org
  • Andrea Janes, FHV Vorarlberg University of Applied Sciences, andrea.janes@fhv.at
  • Valentina Lenarduzzi, University of Oulu, Finland,  lenarduzzi@oulu.fi
  • Davide Taibi, University of Oulu, Finland, taibi@oulu.fi