Running Simultaneous Kepler Sessions for the Parallelization of Parametric Scans and Optimization Studies Applied to Complex Workflows

Owsiak, Michał; Płóciennik, Marcin; Palak, Bartek; Żok, Tomasz; Reux, C.; Gallo, L. Di; Kalupin, D.; Johnson, Thomas E.; Schneider, M.

doi:10.1016/j.procs.2016.05.362

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…It finds a near optimum data caching policy by selecting the intermediate data to cache using an algorithm based on the Ant Colony Optimization probabilistic technique. Owsiak et al [12] propose an approach in Kepler to enable multiple users to execute workflows and reuse intermediate data through a cache. The approach encapsulates all Kepler instances into Docker containers, which can be easily deployed in a monosite cloud.…”

Section: Centralized Cachingmentioning

confidence: 99%

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Cache-aware scheduling of scientific workflows in a multisite cloud

Heidsieck

Oliveira

Pacitti

et al. 2021

Future Generation Computer Systems

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Centralized Cachingmentioning

confidence: 99%

“…Caching has been supported by some workflow systems, e.g., Kepler [12], VisTrails [13] and OpenAlea [14]. In [15], we proposed an adaptive caching method for OpenAlea that automatically determines the most suited intermediate data to cache, but only for a single site.…”

Section: Introductionmentioning

confidence: 99%

Cache-aware scheduling of scientific workflows in a multisite cloud

Heidsieck

Oliveira

Pacitti

et al. 2021

Future Generation Computer Systems

View full text Add to dashboard Cite

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“…The approach described here is being used by several user communities that have been engaged within the project [14, 72,20,68,1,19,11,53,41]. The developed solutions have also resulted in community and upstream code contributions to major open source solutions like OpenStack and OpenNebula.…”

Section: Elastic Mesos Clustermentioning

confidence: 99%

Orchestrating Complex Application Architectures in Heterogeneous Clouds

et al. 2017

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Private cloud infrastructures are now widely deployed and adopted across technology industries and research institutions. Although cloud computing has emerged as a reality, it is now known that a single cloud provider cannot fully satisfy complex user requirements. This has resulted in a growing interest in developing hybrid cloud solutions that bind together distinct and heterogeneous cloud infrastructures. In this paper we describe the orchestration approach for heterogeneous clouds that has been implemented and used within the INDIGO-DataCloud project. This orchestration model uses existing open-source software like OpenStack and leverages the OASIS Topology and Specification for Cloud Applications (TOSCA) open standard as the modeling language. Our approach uses virtual machines and Docker containers in an homogeneous and transparent way providing consistent application deployment for the users. This approach is illustrated by means of two different use cases in different scientific communities, implemented using the INDIGO-DataCloud solutions

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Running Simultaneous Kepler Sessions for the Parallelization of Parametric Scans and Optimization Studies Applied to Complex Workflows

Cited by 2 publications

References 2 publications

Cache-aware scheduling of scientific workflows in a multisite cloud

Cache-aware scheduling of scientific workflows in a multisite cloud

Orchestrating Complex Application Architectures in Heterogeneous Clouds

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