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A service composition framework for market-oriented high performance computing cloud

Authors:

Zon-Yin ShaeAuthors Info & Claims

HPDC '10: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing

Pages 284 - 287

https://doi.org/10.1145/1851476.1851511

Published: 21 June 2010 Publication History

Abstract

Despite the success High Performance Computing (HPC) across a number of application domains, the adoption of HPC resources and applications is still limited, primarily due to its high capital cost, system complexity, application availability, and service delivery model. Recently, several research efforts have shown that the emerging Cloud Computing service model can improve on-demand access to HPC capacity as utility. This paper introduces a framework for on-demand composing and deploying available HPC applications as services on HPC clouds. The composition is enabled by an ontology that describes dependencies and relationships among HPC software and resources.

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Cited By

Lahmar FMezni H(2018)Multicloud service compositionJournal of Software: Evolution and Process10.1002/smr.194730:10Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1002/smr.1947
Comi AFotia LMessina FPappalardo GRosaci DSarné G(2015)A Reputation-Based Approach to Improve QoS in Cloud Service CompositionProceedings of the 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises10.1109/WETICE.2015.28(108-113)Online publication date: 15-Jun-2015
https://dl.acm.org/doi/10.1109/WETICE.2015.28
Guerfel RSbaï ZAyed R(2015)Towards a System for Cloud Service Discovery and Composition Based on OntologyComputational Collective Intelligence10.1007/978-3-319-24306-1_4(34-43)Online publication date: 24-Oct-2015
https://doi.org/10.1007/978-3-319-24306-1_4
Show More Cited By

Index Terms

A service composition framework for market-oriented high performance computing cloud
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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Published In

cover image ACM Conferences

HPDC '10: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing

June 2010

911 pages

ISBN:9781605589428

DOI:10.1145/1851476

General Chairs:
Salim Hariri
University of Arizona
,
Kate Keahey
University of Chicago

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Arizona: University of Arizona
SIGARCH: ACM Special Interest Group on Computer Architecture

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2010

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HPDC '10

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University of Arizona
SIGARCH

HPDC '10: The 19th International Symposium on High Performance Distributed Computing

June 21 - 25, 2010

Illinois, Chicago

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Overall Acceptance Rate 166 of 966 submissions, 17%

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Cited By

Lahmar FMezni H(2018)Multicloud service compositionJournal of Software: Evolution and Process10.1002/smr.194730:10Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1002/smr.1947
Comi AFotia LMessina FPappalardo GRosaci DSarné G(2015)A Reputation-Based Approach to Improve QoS in Cloud Service CompositionProceedings of the 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises10.1109/WETICE.2015.28(108-113)Online publication date: 15-Jun-2015
https://dl.acm.org/doi/10.1109/WETICE.2015.28
Guerfel RSbaï ZAyed R(2015)Towards a System for Cloud Service Discovery and Composition Based on OntologyComputational Collective Intelligence10.1007/978-3-319-24306-1_4(34-43)Online publication date: 24-Oct-2015
https://doi.org/10.1007/978-3-319-24306-1_4
Huqqani ASchikuta EMann E(2014)Parallelized neural networks as a service2014 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN.2014.6889742(2282-2289)Online publication date: Jul-2014
https://doi.org/10.1109/IJCNN.2014.6889742
Jula ASundararajan EOthman Z(2014)ReviewExpert Systems with Applications: An International Journal10.1016/j.eswa.2013.12.01741:8(3809-3824)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1016/j.eswa.2013.12.017
Quang-Hung NThoai NSon N(2014)EPOBF: Energy Efficient Allocation of Virtual Machines in High Performance Computing CloudTransactions on Large-Scale Data- and Knowledge-Centered Systems XVI10.1007/978-3-662-45947-8_6(71-86)Online publication date: 17-Dec-2014
https://doi.org/10.1007/978-3-662-45947-8_6
Quang-Hung NLe DThoai NSon N(2014)Heuristics for Energy-Aware VM Allocation in HPC CloudsFuture Data and Security Engineering10.1007/978-3-319-12778-1_19(248-261)Online publication date: 2014
https://doi.org/10.1007/978-3-319-12778-1_19
Nicolae BCappello F(2013)BlobCRJournal of Parallel and Distributed Computing10.1016/j.jpdc.2013.01.01373:5(698-711)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1016/j.jpdc.2013.01.013
Liu XQuan YJiang W(2012)A Lightweight Framework for Trust Cloud Software DevelopmentAdvanced Engineering Forum10.4028/www.scientific.net/AEF.6-7.8656-7(865-870)Online publication date: Sep-2012
https://doi.org/10.4028/www.scientific.net/AEF.6-7.865
Pham TTruong HDustdar S(2011)Elastic High Performance Applications -- A Composition Framework2011 IEEE Asia-Pacific Services Computing Conference10.1109/APSCC.2011.57(416-423)Online publication date: Dec-2011
https://doi.org/10.1109/APSCC.2011.57

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