Distributed Application Runtime Environment (DARE): A Standards-based Middleware Framework for Science-Gateways

Maddineni, Sharath; Kim, Joohyun; El-Khamra, Yaakoub; Jha, Shantenu

doi:10.1007/s10723-012-9244-1

Cited by 26 publications

(10 citation statements)

References 14 publications

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“…RADICAL-SAGA is currently used by a wide range of projects ranging from tool developers to individual users. Illustrative but not exhaustive examples include the PANDA group (ATLAS project) [39], Gateways projects [40][41][42], as well as multiple Bioinformatics projects [43,44]. A combination of standards-based, open source and distributed development, supported by multiple independent contributors, has contributed to the sustainability of RADICAL-SAGA.…”

Section: The Radical-saga Communitymentioning

confidence: 99%

SAGA: A standardized access layer to heterogeneous Distributed Computing Infrastructure

2015

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Distributed Computing Infrastructure is characterized by interfaces that are heterogeneous-syntactically and semantically. SAGA represents the most comprehensive community effort to date to address the heterogeneity by defining a simple, uniform access layer. In this paper, we describe the basic concepts underpinning its design and development. We also discuss RADICAL-SAGA which is the most widely used implementation of SAGA.

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Section: The Radical-saga Communitymentioning

confidence: 99%

SAGA: A standardized access layer to heterogeneous Distributed Computing Infrastructure

2015

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“…The Distributed Application Runtime Environment (DARE) provides a framework for computing and data management using a pilot-based abstraction layer based on the SAGA API [18]. Data and computing management, monitoring and security functions are provided by the SAGA-based components that can utilize various data and computing infrastructures.…”

Section: Darementioning

confidence: 99%

Science Gateway Canvas

Shahand

Kampen

Olabarriaga

2015

Proceedings of the 1st Workshop on the Science of Cyberinfrastructure: Research, Experience, Applications and Models

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Science Gateways (SGs) have emerged as systems that facilitate access to cyberinfrastructures. There is a growing interest in the exploitation and development of SGs. However, it remains challenging to understand and design SG with the required properties because of the complex nature of SGs. Additionally, it is difficult to decide upon frameworks that can be used to build them. In this paper we propose the Science Gateway Canvas, a business reference model for SGs that embodies the common SG functions and their organization into groups and categories. We used the Science Gateway Canvas for a systematic analysis and comparison of the functions offered by a selection of available frameworks that are used to build SGs. This illustrated the applicability of the Science Gateway Canvas as a comprehensive and generic reference model for understanding SGs. The canvas can also be used for systematic analysis by scientists who are searching for an existing SG that supports their research goal or developers who want to determine the functional requirements for a new SG.

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“…There are many other gateway frameworks, including the Distributed Application Runtime Environment , Open Grid Computing Environments , and WS‐PGRADE/gUSE , but none provide direct access to interactive tools and scientific visualization. This is a distinct advantage of the HUBzero platform.…”

Section: Hubs For Scientific Communitiesmentioning

confidence: 99%

HUBzero and Pegasus: integrating scientific workflows into science gateways

McLennan

Clark

Deelman

et al. 2014

Concurrency and Computation

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Summary In this paper, we described the benefits and the challenges of integrating existing scientific workflow technologies into science gateways. Scientific workflow managers are powerful tools for handling large computational tasks. Domain scientists find it difficult to create new workflows, so many tasks that could benefit from workflow automation are often avoided or performed by hand. Two technologies have come together to bring the benefits of workflow to the masses. The Pegasus Workflow Management System can manage workflows comprised of millions of tasks, all the while recording data about the execution and intermediate results so that the provenance of the final result is clear. The HUBzero platform for scientific collaboration provides a venue for building and delivering tools to researchers and educators. With the press of a button, these tools can launch Pegasus workflows on national computing infrastructures and bring results back for plotting and visualization. As a result, the combination of Pegasus and HUBzero is bringing high‐throughput computing to a much wider audience. Copyright © 2014 John Wiley & Sons, Ltd.

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Distributed Application Runtime Environment (DARE): A Standards-based Middleware Framework for Science-Gateways

Cited by 26 publications

References 14 publications

SAGA: A standardized access layer to heterogeneous Distributed Computing Infrastructure

SAGA: A standardized access layer to heterogeneous Distributed Computing Infrastructure

Science Gateway Canvas

HUBzero and Pegasus: integrating scientific workflows into science gateways

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