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

Published: 22 July 2018 Publication History

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.
[2]
https://en.wikipedia.org/wiki/Apache_Thrift.
[3]
https://en.wikipedia.org/wiki/Apache_OpenJP

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

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    cover image ACM Other conferences
    PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity
    July 2018
    652 pages
    ISBN:9781450364461
    DOI:10.1145/3219104
    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

    Publication History

    Published: 22 July 2018

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    Author Tags

    1. Apache Airavata
    2. Computational Services
    3. Resource Allocation
    4. Resource Sharing
    5. SEAGrid
    6. Science Gateways

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    • Extended-abstract
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    PEARC '18

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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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