The DreamCloud Project

The main objective addressed by DreamCloud is to enable dynamic resource allocation in many- core embedded and high performance systems while providing appropriate guarantees on performance and energy efficiency.

DreamCloud will address techniques to allocate computation and communication workloads onto computing platforms during run-time whilst respecting performance and energy budget requirements. To achieve this, DreamCloud brings together teams from embedded computing and high- performance computing (HPC) to address these common ambitious yet achievable goals:

  • Provide complex embedded systems with cloud-like capabilities such as those available in today’s high-performance computing, allowing them to dynamically tune resource usage but without sacrificing critical application-specific constraints in performance and energy.
  • Enable HPC and cloud computing systems to balance workload and manage resources so that they can offer more meaningful guarantees in terms of performance and energy, focussing not only on improving average behaviour but also on reducing variability and upper bounds of timing and energy metrics.

DreamCloud brings together industrial partners from deeply embedded systems (e.g. automotive), consumer embedded systems (e.g. household media), and high performance computing (e.g. HPC platforms); academic partners from embedded systems, real-time systems and HPC. This will enable DreamCloud to develop better approaches by  cross-fertilising  expertise  and  experience from  multiple  industrial  domains  and  academic  communities.

Click the video below for an introduction to the project and technologies being developed.


  • Paper accepted at IEEE MCSoC-16

    A paper titled "Performance Prediction of Application Mapping in Manycore Systems with Artificial Neural Networks" will be presented by CNRS at the IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-16), Lyon, France, 21 - 23 September, 2016

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    Started by Abdoulaye Gamatié 0 Replies
  • Panel at ReCoSoC 2016

    Leandro Indrusiak has organised a panel at ReCoSoC 2016, discussing the challenges and trends towards a common design approach to embedded, high-performance and cloud computing. The panel was motivated by the research work done in the DreamCloud project on dynamic resource allocation mechanisms that can be fine-tuned and used across all of those domains. Three panelists were invited to provide their views on this topic: Prof Jan Madsen, Technical University of Denmark, Denmark Prof Dirk…

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    Started by Leandro Soares Indrusiak 0 Replies
  • Paper presented at ReCoSoC 2016 conference

    A paper titled "Speed And Accuracy Dilemma In NoC Simulation: What about Memory Impact?" was presented at the 11th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoc), Tallinn, Estonia 27 - 29 June, 2016

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    Started by Manuel Selva 0 Replies
  • Best Paper Award - IEEE ISORC 2016

    The DreamCloud team at York has received the Best Paper Award at the 19th IEEE International Symposium on Real-Time Distributed Computing (ISORC), with the paper "Energy-Aware Resource Allocation in Multi-Mode Automotive Applications with Hard Real-Time Constraints" authored by Piotr Dziurzanski, Amit Kumar Singh and Leandro Soares Indrusiak. Besides the winning paper, the paper on "Value and Energy Aware Adaptive Resource Allocation of Soft Real-time Jobs on Many-core HPC Data Centers", by the…

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    Started by Leandro Soares Indrusiak 0 Replies

DreamCloud is a Specific Targeted Research Project (STREP) of the Seventh Framework Programme for research and technological development (FP7) - the European Union's chief instrument for funding research projects that commence over the period 2007 to 2013.

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Project Partners