Apache airavata

Marru, Suresh; Gunathilake, Lahiru; Herath, Chathura; Tangchaisin, Patanachai; Pierce, Marlon; Mattmann, Chris A.; Singh, Ritu; Gunarathne, Thilina; Chinthaka, Eran; Gardler, Ross; Slominski, Aleksander; Douma, Ate; Perera, Srinath; Weerawarana, Sanjiva

doi:10.1145/2110486.2110490

Cited by 121 publications

(16 citation statements)

References 18 publications

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“…It also sends notifications back to the user notifying him or her of events such as failures, success, and completion of tasks, jobs, and workflows. Scientists can interact with Pegasus via the command line and API interfaces, through portals and infrastructure hubs such as HubZero [22], through higher-level workflow composition tools such as Wings [23] and Airvata [24], or through application-specific composition tools such as Grayson [25]. Independent of how they access it, Pegasus enables scientists to describe their computations in a high-level fashion independent of the structure of the underlying execution environment, or the particulars of the low-level specifications required by the execution environment middleware (e.g.…”

Section: System Designmentioning

confidence: 99%

Pegasus, a workflow management system for science automation

Deelman

Vahi

Juve

et al. 2015

Future Generation Computer Systems

684

402

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Modern science often requires the execution of large-scale, multi-stage simulation and data analysis pipelines to enable the study of complex systems. The amount of computation and data involved in these pipelines requires scalable workflow management systems that are able to reliably and efficiently coordinate and automate data movement and task execution on distributed computational resources: campus clusters, national cyberinfrastructures, and commercial and academic clouds. This paper describes the design, development and evolution of the Pegasus Workflow Management System, which maps abstract workflow descriptions onto distributed computing infrastructures. Pegasus has been used for more than twelve years by scientists in a wide variety of domains, including astronomy, seismology, bioinformatics, physics and others. This paper provides an integrated view of the Pegasus system, showing its capabilities that have been developed over time in response to application needs and to the evolution of the scientific computing platforms. The paper describes how Pegasus achieves reliable, scalable workflow execution across a wide variety of computing infrastructures.

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Section: System Designmentioning

confidence: 99%

Pegasus, a workflow management system for science automation

Deelman

Vahi

Juve

et al. 2015

Future Generation Computer Systems

684

402

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“…Globus, one of the most widely used families of software in the world, now includes authentication, secure access capabilities, and data and metadata management tools (Foster, 2005;Globus Online, 2013). Other middleware includes workflow systems that coordinate the use of cyberinfrastructure and automate complex analyses; examples include Apache Airavata (Marru et al, 2011), Kepler (Ludäscher et al, 2006), and Pegasus (Deelman et al, 2005).…”

Section: Evolving Components Of Cyberinfrastructure Including Cloud Cmentioning

confidence: 99%

Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use

Stewart

Knepper

Link

et al. 2018

Encyclopedia of Information Science and Technology, Fourth Edition

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Computers accelerate our ability to achieve scientific breakthroughs. As technology evolves and new research needs come to light, the role for cyberinfrastructure as “knowledge” infrastructure continues to expand. In essence, cyberinfrastructure can be thought of as the integration of supercomputers, data resources, visualization, and people that extends the impact and utility of information technology. This article discusses cyberinfrastructure, the related topics of science gateways and campus bridging, and identifies future challenges and opportunities in cyberinfrastructure.

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“…Apache Airavata [19], inherited from the Open Gateway Computing Environments (OGCE) workflow system [20] focuses on the baseline tools of application, workflow, job and data management systems. Airavatas primary goal is to support long running applications and workflows on distributed computational resources including clouds.…”

Section: Related Workmentioning

confidence: 99%

Cloud-Based Flowbster Portal to Design and Deploy Scientific Workflows

Kovács¹,

Farkas²,

Nagy³

et al. 2018

AzJHPC

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A workflow system called Flowbster has been designed to create efficient data pipelines in clouds. The entire Flowbster workflow is dynamically built by using virtual machines on a target cloud. The paper describes a recently designed and developed web-based science gateway to support Flowbster. It provides a high-level graphical environment to handle different levels of abstractions, like workflows representing the layout and deployment representing the infrastructure realizing the workflow. Detailed overview of the user interface, the portal architecture and its internal operation are given in the paper. Moreover, an insight is provided on the selection and cooperation of the web modules and on the integration of the portal in the firebase environment developed by Google.

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Apache airavata

Cited by 121 publications

References 18 publications

Pegasus, a workflow management system for science automation

Pegasus, a workflow management system for science automation

Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use

Cloud-Based Flowbster Portal to Design and Deploy Scientific Workflows

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