The evolution of the pegasus workflow management software
Since 2001, the Pegasus Workflow Management System has evolved into a robust and
scalable system that automates the execution of a number of complex applications running …
scalable system that automates the execution of a number of complex applications running …
Toward a dynamic network-centric distributed cloud platform for scientific workflows: A case study for adaptive weather sensing
E Lyons, G Papadimitriou, C Wang… - 2019 15th …, 2019 - ieeexplore.ieee.org
Computational science today depends on complex, data-intensive applications operating on
datasets from a variety of scientific instruments. A major challenge is the integration of data …
datasets from a variety of scientific instruments. A major challenge is the integration of data …
On the use of burst buffers for accelerating data-intensive scientific workflows
RF da Silva, S Callaghan, E Deelman - … on Workflows in Support of Large …, 2017 - dl.acm.org
Science applications frequently produce and consume large volumes of data, but delivering
this data to and from compute resources can be challenging, as parallel file system …
this data to and from compute resources can be challenging, as parallel file system …
Measuring the impact of burst buffers on data-intensive scientific workflows
RF da Silva, S Callaghan, TMA Do… - Future Generation …, 2019 - Elsevier
Science applications frequently produce and consume large volumes of data, but delivering
this data to and from compute resources can be challenging, as parallel file system …
this data to and from compute resources can be challenging, as parallel file system …
FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications
Many Internet of Things (IoT) applications require compute resources that cannot be
provided by the devices themselves. At the same time, processing of the data generated by …
provided by the devices themselves. At the same time, processing of the data generated by …
Toward prioritization of data flows for scientific workflows using virtual software defined exchanges
Recent advances in cloud systems, on-demand circuits and software-defined networking
have created new opportunities to enable complex, data-intensive scientific applications to …
have created new opportunities to enable complex, data-intensive scientific applications to …
Prior node selection for scheduling workflows in a heterogeneous system
H Kanemitsu, M Hanada, H Nakazato - Journal of Parallel and Distributed …, 2017 - Elsevier
Many workflow scheduling algorithms for heterogeneous systems have been developed to
satisfy multiple requirements such as minimizing schedule length while maximizing …
satisfy multiple requirements such as minimizing schedule length while maximizing …
Fair sharing of network resources among workflow ensembles
Computational science depends on complex, data intensive applications operating on
datasets from a variety of scientific instruments. A major challenge is the integration of data …
datasets from a variety of scientific instruments. A major challenge is the integration of data …
Snapshots to train prediction models and improve workflow execution
JF Dias, AEM Ciarlini, RT de Abreu Pinho - US Patent 10,909,503, 2021 - Google Patents
An exemplary method for managing execution of a work flow comprising one or more sub-
workflows comprises parsing and interpreting a definition of the workflow and the one or …
workflows comprises parsing and interpreting a definition of the workflow and the one or …
Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows
Data-driven application systems often depend on complex, data-intensive programs
operating on distributed datasets that originate from a variety of scientific instruments and …
operating on distributed datasets that originate from a variety of scientific instruments and …