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

Apache Airavata Resource Allocation System: A Tool for Allocating Resources in Science Gateways. Phulwani, H., Thapa, M., Marru, S., Pierce, M., Pamidighantam, S., & Christie, M. In Proceedings of the Practice and Experience on Advanced Research Computing - PEARC '18, pages 1-4, 2018. ACM Press.

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

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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.

@inproceedings{
 title = {Apache Airavata Resource Allocation System: A Tool for Allocating Resources in Science Gateways},
 type = {inproceedings},
 year = {2018},
 pages = {1-4},
 websites = {http://dl.acm.org/citation.cfm?doid=3219104.3229271},
 publisher = {ACM Press},
 city = {New York, New York, USA},
 id = {e3a692a1-682d-34ba-80f7-5d22a35a71ac},
 created = {2019-10-01T17:20:16.005Z},
 accessed = {2019-08-19},
 file_attached = {true},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2020-05-11T14:43:46.084Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Phulwani2018},
 private_publication = {false},
 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.},
 bibtype = {inproceedings},
 author = {Phulwani, Harsha and Thapa, Madrina and Marru, Suresh and Pierce, Marlon and Pamidighantam, Sudhakar and Christie, Marcus},
 doi = {10.1145/3219104.3229271},
 booktitle = {Proceedings of the Practice and Experience on Advanced Research Computing - PEARC '18}
}

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