Project description
Cloud computing for multi-cloud deployments
Cloud computing offers many possibilities to store, secure and work on our data. But present applications and components can be organised and reshaped ahead of the anticipated deployments from new technologies for better effects. The EU-funded MORPHEMIC project will adapt and optimise cloud computing in two dimensions: with the idea of polymorph architecture, and a proactive adaptation. It will optimise applications working in various technical forms to increase their utility in specific environments. The project will also ensure the heterogeneous deployment through a MORPHEMIC deployment platform. Its environment will offer a combination of cloud levels, data centres, edge clouds and 5G base stations to provide a complete solution for easy inclusion of new technologies and services.
Objective
MORPHEMIC proposes a unique way of adapting and optimizing Cloud computing applications by introducing the novel concepts of polymorph architecture and proactive adaptation. The former is when a component can run in different technical forms, i.e. in a Virtual Machine (VM), in a container, as a big data job, or as serverless components, etc. The technical form of deployment is chosen during the optimization process to fulfil the user’s requirements and needs. The quality of the deployment is measured by a user defined and application specific utility. Depending on the application’s requirements and its current workload, its components could be deployed in various forms in different environments to maximize the utility of the application deployment and the satisfaction of the user. Proactive adaptation is not only based on the current execution context and conditions but aims to forecast future resource needs and possible deployment configurations. This ensures that adaptation can be done effectively and seamlessly for the users of the application. The MORPHEMIC deployment platform will therefore be very beneficial for heterogeneous deployment in distributed environments combining various Cloud levels including Cloud data centres, edge Clouds, 5G base stations, and fog devices. Advanced forecasting methods, including the ES-Hybrid method recently winning the M4 forecasting competition, will be used to achieve the most accurate predictions. The outcome of the project will be implemented in the form of the complete solution, starting from modelling, through profiling, optimization, runtime reconfiguration and monitoring. Then the MORPHEMIC implementation will be integrated as a pre-processor for the existing MELODIC platform extending its deployment and adaptation capabilities beyond the multi-cloud and cross-cloud to the edge, 5G, and fog. This approach allows for a path to early demonstrations and commercial exploitation of the project results.
Fields of science
Keywords
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
0313 Oslo
Norway