Our research activities involve the design and implementation of the following software platforms.

  • Damaris: Damaris is a middleware for multicore SMP nodes allowing them to efficiently handle data transfers for storage and visualization by dedicating one or a few cores to the application I/O. It is developed within the framework of a collaboration with the Joint Laboratory for Petascale Computing (JLPC). The current version allows efficient asynchronous I/O, hiding all I/O related overheads such as data compression and post-processing. It was evaluated with the CM1 tornado simulation, one of the Blue Waters target applications. Future work is targeting fast direct access to the data from running simulations and efficient I/O scheduling.
  • E2Clab: a framework that implements a rigorous methodology for designing experiments with real-world workloads on the Edge-to-Cloud Computing Continuum. This methodology provides guidelines to move from real-world use cases to the design of relevant testbed setups for experiments enabling researchers to understand performance and to support the reproducibility of the experiments.
  • StorAlloc: StorAlloc is a simulator of a storage-aware job scheduler. Through our simulator, we want to demonstrate how storage resources can be allocated the same way as computing resources on large-scale systems equipped with heterogeneous storage spaces.
  • KerA: a software prototype which addresses the limitations of state-of-the-art storage solutions for stream processing. It illustrates for the first time the idea of unified storage for data ingestion and storage in support of low-latency stream processing.
  • BlobSeer: a distributed blob management service enabling multiversioning and efficient fine-grain access to huge blobs under heavy concurrency. Several of our current research activities are originated from BlobSeer.

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