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@Book{lamport1994,
  title     = {{LATEX: a document preparation system: user's guide and reference manual}},
  publisher = {Addison-wesley},
  year      = {1994},
  author    = {Lamport, Leslie},
}

@Article{Jenkins2017,
  author = {Jenkins, John and Shipman, Galen and Mohd-Yusof, Jamaludin and Barros, Kipton and Carns, Philip and Ross, Robert},
  title  = {{A Case Study in Computational Caching Microservices for HPC}},
  year   = {2017},
  doi    = {10.1109/IPDPSW.2017.40},
  place  = {United States},
}

@Article{Joab2018,
  author = {Joab Jackson},
  title  = {{Containers for High Performance Computing}},
  year   = {2018},
  url    = {https://thenewstack.io/roadmap-containers-for-high-performance-computing/},
}

@Article{Fatema2017,
  author  = {Fatéma, Zahra and Benchara, Fatéma Zahra and Mohamed, Youssfi and Bouattane, Omar and Serrar, Ouafae and Hassan, Ouajji},
  title   = {Toward a New Massively Distributed Virtual Machine based Cloud Micro-Services Team Model for HPC: SPMD Applications},
  journal = {International Journal of Advanced Computer Science and Applications},
  year    = {2017},
  volume  = {8},
  pages   = {238-249},
  month   = {08},
  doi     = {10.14569/IJACSA.2017.080831},
}

@InProceedings{Cheptsov2016,
  author    = {A. Cheptsov},
  title     = {{Dynamic Approach to Scheduling Reconfigurable Scientific Workflows in Heterogeneous HPC Environments}},
  booktitle = {2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)},
  year      = {2016},
  pages     = {7-14},
  month     = {July},
  doi       = {10.1109/CISIS.2016.146},
  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},
}

@InProceedings{Benchara2016,
  author    = {F. Z. Benchara and M. Youssfi and O. Bouattane and H. Ouajji},
  title     = {{A new efficient distributed computing middleware based on cloud micro-services for HPC}},
  booktitle = {2016 5th International Conference on Multimedia Computing and Systems (ICMCS)},
  year      = {2016},
  pages     = {354-359},
  month     = {Sept},
  doi       = {10.1109/ICMCS.2016.7905644},
  issn      = {2472-7652},
  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},
}

@Book{Rajasekar2015,
  title     = {{The Integrated Rule-Oriented Data System (iRODS 4.0) Microservice Workbook}},
  publisher = {CreateSpace Independent Publishing Platform},
  year      = {2015},
  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.},
  address   = {USA},
  edition   = {1st},
  isbn      = {1511732776, 9781511732772},
}

@InProceedings{Arne2016,
  author    = {Arne Johanson and Sascha Fl{\"o}gel and Christian Dullo and Wilhelm Hasselbring},
  title     = {{OceanTEA: Exploring Ocean-Derived Climate Data Using Microservices}},
  booktitle = {Proceedings of the Sixth International Workshop on Climate Informatics (CI 2016)},
  year      = {2016},
  series    = {NCAR Technical Note NCAR/TN},
  pages     = {25--28},
  month     = {September},
  abstract  = {Ocean observation systems gather an increasing
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.},
  keywords  = {Climate Data, Microservices },
  url       = {http://eprints.uni-kiel.de/34758/},
}

@Article{Johanson2018,
  author   = {A. Johanson and W. Hasselbring},
  title    = {{Software Engineering for Computational Science: Past, Present, Future}},
  journal  = {Computing in Science Engineering},
  year     = {2018},
  pages    = {1-1},
  issn     = {1521-9615},
  doi      = {10.1109/MCSE.2018.108162940},
  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},
}

@Comment{jabref-meta: databaseType:bibtex;}