SWITCH - Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications

  • Research and Innovation
  • European
  • Cloud
Last updated: 2021-10-27 03:36

EU Contribution
  • €2,922,500.00
Overall Budget
  • €2,922,500.00

Stakeholders


    Academic/Research Organisations
  • United Kingdom
    CARDIFF UNIVERSITY (United Kingdom)
  • Netherlands
    UNIVERSITEIT VAN AMSTERDAM (Netherlands)
  • Slovenia
    UNIVERZA V LJUBLJANI (Slovenia)
  • Industry
  • Romania
    BEIA CONSULT INTERNATIONAL SRL (Romania)
  • Portugal
    MOG TECHNOLOGIES SA (Portugal)
  • Spain
    WELLNESS TELECOM SL (Spain)

Strategic Goals

The very high requirements on network and computing services, particularly for well-tuned software architecture with sophisticated data communication optimisation, mean that development of such time critical applications is often customised to dedicated infrastructure, and system performance is difficult to maintain when infrastructure changes. This fatal weakness in the existing architecture and software tools yields very high development cost, and makes it difficult fully to utilize the virtualised, programmable services provided by networked Clouds to improve system productivity.

Solutions Developed / Used

The SWITCH project (Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications) addresses the urgent industrial need for developing and executing time critical applications in Clouds. Time critical applications such as disaster early warning, collaborative communication and live event broadcasting can only realise their expected business value when they meet critical requirements for performance and user experience.

Description

Start Date

01/02/2015

End Date

31/01/2018

Project Focus

  • Enabler

Geographical Scope

  • European

Keywords

  • Cloud

Cloud Delivery Model

  • PaaS

Project Life-Cycle Stage

  • Research and Innovation

Industry

  • Information and Communication

Industry

  • Small and Medium Enterprises (SMEs)

Technology

  • Big Data