95 lines
5.5 KiB
BibTeX
95 lines
5.5 KiB
BibTeX
% Encoding: UTF-8
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@Book{lamport1994,
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title = {{LATEX: a document preparation system: user's guide and reference manual}},
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publisher = {Addison-wesley},
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year = {1994},
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author = {Lamport, Leslie},
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}
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@Article{Jenkins2017,
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author = {Jenkins, John and Shipman, Galen and Mohd-Yusof, Jamaludin and Barros, Kipton and Carns, Philip and Ross, Robert},
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title = {{A Case Study in Computational Caching Microservices for HPC}},
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year = {2017},
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doi = {10.1109/IPDPSW.2017.40},
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place = {United States},
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}
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@Article{Joab2018,
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author = {Joab Jackson},
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title = {{Containers for High Performance Computing}},
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year = {2018},
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url = {https://thenewstack.io/roadmap-containers-for-high-performance-computing/},
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}
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@Article{Fatema2017,
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author = {Fatéma, Zahra and Benchara, Fatéma Zahra and Mohamed, Youssfi and Bouattane, Omar and Serrar, Ouafae and Hassan, Ouajji},
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title = {Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications},
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journal = {International Journal of Advanced Computer Science and Applications},
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year = {2017},
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volume = {8},
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pages = {238-249},
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month = {08},
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doi = {10.14569/IJACSA.2017.080831},
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}
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@InProceedings{Cheptsov2016,
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author = {A. Cheptsov},
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title = {{Dynamic Approach to Scheduling Reconfigurable Scientific Workflows in Heterogeneous HPC Environments}},
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booktitle = {2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)},
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year = {2016},
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pages = {7-14},
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month = {July},
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doi = {10.1109/CISIS.2016.146},
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keywords = {adaptive scheduling;dynamic scheduling;parallel processing;resource allocation;core scheduling algorithms;Maui;Torque;in-depth monitoring technologies;adaptive scheduling;heuristic-based approach;infrastructure-specific policies;application-specific policies;optimization policies;scheduled application characteristics;heterogeneous resource allocation;high performance computing infrastructures;heterogeneous HPC environments;reconfigurable scientific workflows;dynamic scheduling;Dynamic scheduling;Resource management;Processor scheduling;Energy consumption;Job shop scheduling;Optimization;scheduling; performance; workflow; monitoring; heuristics; DreamCloud},
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}
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@InProceedings{Benchara2016,
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author = {F. Z. Benchara and M. Youssfi and O. Bouattane and H. Ouajji},
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title = {{A new efficient distributed computing middleware based on cloud micro-services for HPC}},
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booktitle = {2016 5th International Conference on Multimedia Computing and Systems (ICMCS)},
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year = {2016},
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pages = {354-359},
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month = {Sept},
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doi = {10.1109/ICMCS.2016.7905644},
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issn = {2472-7652},
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keywords = {Big Data;cloud computing;middleware;parallel processing;resource allocation;distributed computing middleware;HPC;high-performance computing-based cloud microservices;massively-parallel-distributed computational system;Big Data;cooperative microservice team work model;distributed microservices;microservice virtual processing units;MsVPU;integrated load balancing service;AMQP communication protocol;distributed computational scheme;integrated middleware;Computational modeling;Cloud computing;Load management;Load modeling;Nickel;Parallel and Distributed Computing;Middleware;Micro-services;Cloud Computing;Load balancing;High Performance Computing},
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}
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@Book{Rajasekar2015,
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title = {{The Integrated Rule-Oriented Data System (iRODS 4.0) Microservice Workbook}},
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publisher = {CreateSpace Independent Publishing Platform},
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year = {2015},
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author = {Rajasekar, Arcot and Russell, Terrell and Coposky, Jason and de Torcy, Antoine and Xu, Hao and Wan, Michael and Moore, Reagan W. and Schroeder, Wayne and Chen, Sheau-Yen and Conway, Mike and Ward, Jewel H.},
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address = {USA},
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edition = {1st},
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isbn = {1511732776, 9781511732772},
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}
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@InProceedings{Arne2016,
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author = {Arne Johanson and Sascha Fl{\"o}gel and Christian Dullo and Wilhelm Hasselbring},
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title = {{OceanTEA: Exploring Ocean-Derived Climate Data Using Microservices}},
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booktitle = {Proceedings of the Sixth International Workshop on Climate Informatics (CI 2016)},
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year = {2016},
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series = {NCAR Technical Note NCAR/TN},
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pages = {25--28},
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month = {September},
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abstract = {Ocean observation systems gather an increasing
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amount of climate-relevant time series data. To interactively explore and analyze such high-dimensionaldatasets, we developed the software OceanTEA. Our open-source tool leverages modern web technology to support interactive data visualization, spatial analysis of current patterns, and temporal pattern discovery via machine learning methods. The microservice architecture of OceanTEA ensures a maintainable implementation that seamlessly scales from desktop computers to cloud computing infrastructure.},
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keywords = {Climate Data, Microservices },
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url = {http://eprints.uni-kiel.de/34758/},
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}
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@Article{Johanson2018,
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author = {A. Johanson and W. Hasselbring},
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title = {{Software Engineering for Computational Science: Past, Present, Future}},
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journal = {Computing in Science Engineering},
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year = {2018},
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pages = {1-1},
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issn = {1521-9615},
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doi = {10.1109/MCSE.2018.108162940},
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keywords = {Software;Scientific computing;Software engineering;Computational modeling;Computers;Productivity;Object recognition;scientific software development;domain-specific languages;software performance engineering;software testing;requirements engineering},
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}
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@Comment{jabref-meta: databaseType:bibtex;}
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