Exploració per tema "Cicle de treball"
Ara es mostren els items 1-8 de 8
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A framework for selecting workflow tools in the context of composite information systems
(Springer, 2004)
Text en actes de congrés
Accés obertWhen an organization faces the need of integrating some workflow-related activities in its information system, it becomes necessary to have at hand some well-defined informational model to be used as a framework for ... -
dataClay : next generation object storage
(Universitat Politècnica de Catalunya, 2017-03-31)
Tesi
Accés obertExisting solutions for data sharing are not fully compatible with multi-provider contexts. Traditionally, providers offer their datasets through hermetic Data Services with restricted APIs. Therefore, consumers are compelled ... -
Enabling Analytic and HPC Workflows with COMPSs
(Universitat Politècnica de Catalunya, 2017)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Barcelona Supercomputing CenterIn the recent joint venture between High-Performance Computing (HPC) and Big-Data (BD) Ecosystems towards the Exascale Computing, the scientific community has realized that powerful programming models and high-level ... -
Heterogeneous hierarchical workflow composition
(2019-07)
Article
Accés obertWorkflow systems promise scientists an automated end-to-end path from hypothesis to discovery. However, expecting any single workflow system to deliver such a wide range of capabilities is impractical. A more practical ... -
Multi-objective scheduling of Scientific Workflows in multisite clouds
(Elsevier, 2016-10)
Article
Accés obertClouds appear as appropriate infrastructures for executing Scientific Workflows (SWfs). A cloud is typically made of several sites (or data centers), each with its own resources and data. Thus, it becomes important to be ... -
Orchestration of software packages in data science workflows
(Barcelona Supercomputing Center, 2019-05-07)
Text en actes de congrés
Accés obert -
Scanflow-K8s: agent-based framework for autonomic management and supervision of ML workflows in Kubernetes clusters
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertMachine Learning (ML) projects are currently heavily based on workflows composed of some reproducible steps and executed as containerized pipelines to build or deploy ML models efficiently because of the flexibility, ... -
Workflows for science: a challenge when facing the convergence of HPC and big data
(2017)
Article
Accés obertWorkflows have been used traditionally as a mean to describe and implement the computing usually parametric studies and explorations searching for the best solution that scientific researchers want to perform. A workflow ...