extended-abstract

Apache Airavata Resource Allocation System: A Tool for Allocating Resources in Science Gateways

Authors:

Sudhakar Pamidighantam,

Marcus ChristieAuthors Info & Claims

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

Article No.: 78, Pages 1 - 4

https://doi.org/10.1145/3219104.3229271

Published: 22 July 2018 Publication History

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Abstract

Science Gateways provide user environments and a set of supporting services that help researchers make effective and enhanced use of a diverse set of computing, storage, and related resources. In a software framework like Airavata, the distributed computing resources such as local clusters, supercomputers, computational grids, and computing clouds are shared among multiple researchers. Hence it requires an allocations process to track the demand for their resources, understand the scientific objectives of their users, and decide among competing needs when faced with user demand that is greater than the available resources can supply. We describe the design and a prototype implementation in this presentation.

References

[1]

https://en.wikipedia.org/wiki/Science_gateway.

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[2]

https://en.wikipedia.org/wiki/Apache_Thrift.

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[3]

https://en.wikipedia.org/wiki/Apache_OpenJP

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Apache Airavata Resource Allocation System: A Tool for Allocating Resources in Science Gateways
1. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software design engineering

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Published In

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

July 2018

652 pages

ISBN:9781450364461

DOI:10.1145/3219104

General Chair:
Sergiu Sanielevici
Pittsburgh Supercomputing Center

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 22 July 2018

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Extended-abstract
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PEARC '18

PEARC '18: Practice and Experience in Advanced Research Computing

July 22 - 26, 2018

PA, Pittsburgh, USA

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PEARC '18 Paper Acceptance Rate 79 of 123 submissions, 64%;

Overall Acceptance Rate 133 of 202 submissions, 66%

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Apache Airavata Sharing Service: A Tool for Enabling User Collaboration in Science Gateways

Apache airavata: a framework for distributed applications and computational workflows

Resource reconstruction algorithms for on-demand allocation in virtual computing resource pool

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