Applications on Demand gives you access to online applications and application-development and hosting frameworks to support compute-intensive data analysis. TRL 8 System complete and qualified.
Features:
Development frameworks:
Featured use cases:
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large bio-molecular systems.
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Apache Tomcat is an open source implementation of the Java Servlet, JavaServer Pages, Java Expression Language and Java WebSocket technologies.
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Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.
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Marathon a production-grade container orchestration platform for Mesosphere's Data Center/Operating System (DC/OS) and Apache Mesos.
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Chronos is a distributed and fault-tolerant scheduler that runs on top of Apache Mesos that can be used for job orchestration.
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The RStudio for Statistical Computing (v1.1.456) is a language and environment for statistical computing and graphics.
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Chispter is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. Users can save and share automatic analysis workflows, and visualize data interactively using a built-in genome browser and many other visualizations.
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(Open Source Serverless Computing for Data-Processing Applications)
OSCAR is an open-source platform to support the Functions as a Service (FaaS) computing model for file-processing applications. It can be automatically deployed on multi-Clouds in order to create highly-parallel event-driven file-processing serverless applications that execute on customized runtime environments provided by Docker containers than run on an elastic Kubernetes cluster.
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ECAS provides a complete environment enabling scientific end-users to perform data analysis experiments on large volumes of multidimensional data, by exploiting a PID-enabled, server-side, and parallel approach. It relies on Ophidia, a HPDA framework for eScience used to perform scientific data analytics by means of HPC paradigms and in-memory based big data approaches, and on JupyterHub, to give users access to ready-to-use computational environments and resources. Thanks to the Elastic Cloud Computing Cluster (EC3) platform, researchers will be able to rely on the EGI Cloud Compute service to scale up to larger datasets taking advantage of the underlying Infrastructure.
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(Elastic SLURM as a Service):
A service to deploy self-managed and customised SLURM clusters as a service with additional capabilities to support specific hardware backends in the EGI Federated Cloud.
SLURM clusters are self-managed so they shrink or grow automatically (up to a predefined maximum quota) according to the workload.
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(Elastic Kubernetes as a Service)
A service to deploy self-managed and customised Kubernetes clusters as a service with additional capabilities to support specific hardware backends in the EGI Federated Cloud. EKaaS facilitates users to deploy not only the processing back-end in the form of a Kubernetes cluster but a set of applications as Helm charts. EKaaS clusters are self-managed so they shrink or grow automatically (up to a predefined maximum quota) according to the workload.
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Community specific deployment to provide notebooks for all the users of a community. Allows further customisation to meet the community needs (e.g. shared storage).