Research Projects


Research Projects

Paremus commenced its software development activities early in its life and has been a strong advocate of the need for standards-based software modularity approaches to IT architecture and runtime solutions. Over the last decade much of this work has been rooted in distributed systems and OSGi technology. As OSGi Alliance Board Members and Expert Group leads we are extremely active contributors and participants in evolving the OSGi specifications and our team boasts world leading modularity and distributed systems expertise. We apply this expertise both to our product innovations for the market leading Service Fabric, but also in consulting engagements for organisations across the world.

Our research looks beyond the traditional approaches to designing and architecting software solutions by harnessing abstract ideas from areas including Complex Adaptive Systems (CAS) (see https://en.wikipedia.org/wiki/Complex_adaptive_system) and Stigmergy (https://en.wikipedia.org/wiki/Stigmergy) to deliver state of the art autonomic solutions that are simple to use and operate and deliver significant cost saving and operation efficiencies.

We are pleased to be actively participating in a number of research activities on an ongoing basis. These include specification research and development within the OSGi Alliance and research and development with academic and commercial partners and consortiums in UK and Europe. Some examples of our funded research project activities are detailed below.

 

Paremus Funded Research Project Examples

BRAIN-IoThttp://www.brain-iot.eu/
BRAIN-IoT (model- B ased f R amework for dependable sensing and A ctuation in IN telligent decentralized IoT systems) will enable autonomous Micro Cloud runtimes to be simply, rapidly and securely created in their local environment, and then collectively operated and managed at scale as members of a federated IoT Fog environment. This project uses the Paremus Service Fabric as a foundational layer and will integrate the CEA sensiNact framework to provide the distributed, scalable, resilient and autonomic foundations to realise the project. This project has received funding from the European Union’s Horizon 2020 research
and innovation programme under grant agreement No 780089.

 

Emergent Software Landscaping using Autonomous Statistical Topography
This research is in collaboration with Lancaster University / EPSRC with representatives Dr Barry Porter http://www.lancaster.ac.uk/scc/about-us/people/barry-porter and Prof Gordon Blair http://www.lancaster.ac.uk/scc/about-us/people/gordon-blair

 

Dependable Information Exchange for the Next Generation Mobile Cyber-Physical Systems
This research is in collaboration with Lancaster University / EPSRC and Dr Keivan Navaie, Senior Member, IEEE http://www.lancaster.ac.uk/scc/about-us/people/keivan-navaie is their representative leading this activity.