Cloud & Big Data Infrastructures

The need to dynamically and rapidly process an ever-increasing amount of data (Smart Cities, Internet-of-Things, etc.) is driving innovation in Cloud technology and scalable data processing architectures.

At IDLab we therefore perform both industry-applied and fundamental research on:

  • Automated setup and configuration of highly scalable and efficient distributed big data processing architectures.
  • Optimisation of multi-cloud resource usage to e.g. minimise cost, improve application resilience or provide various cost/processing speed trade-off levels.
  • Distributed application development methods and tools focussed on enhancing developer productivity and with inherent support for application reliability levels and load balancing.
  • Efficient data placement strategies (e.g. for content distribution networks).

IDLab technologies like Tengu and LimeDS are core enablers of projects like iMinds’ City Of Things, in which hundreds of city-wide deployed smart sensors transform a city into a true Internet-of-Things living lab. In this project LimeDS allows developers to focus on rapidly creating and deploying novel services over this city-wide infrastructure, while Tengu takes care of automatically configuring and instantiating the required data processing infrastructure, based on monitored load.

How can we help you?

Contact us at IDLab the research center for Internet technologies and Data science.

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