References

  1. Apache Hadoop. http://hadoop.apache.org/.
  2. Apache Spark. http://spark.apache.org/.
  3. Applying Apache Hadoop to NASA's Big Climate Data. http://events.linuxfoundation.org/sites/events/files/slides/ApacheCon_NASA_Hadoop.pdf.
  4. D. Chen, Y. Chen, B. N. Brownlow, P. P. Kanjamala, C. A. G. Arredondo, B. L. Radspinner & M. A. Raveling (2017): Real-Time or Near Real-Time Persisting Daily Healthcare Data Into HDFS and ElasticSearch Index Inside a Big Data Platform. IEEE Transactions on Industrial Informatics 13(2), pp. 595–606, doi:10.1109/TII.2016.2645606.
  5. A.M. K. Cheng (2002): Real-Time Systems: Scheduling, Analysis, and Verification. John Wiley & Sons, Inc., doi:10.1002/0471224626.
  6. S.-T. Cheng, H.-C. Wang, Y.-J. Chen & C.-F. Chen (2015): Performance Analysis Using Petri Net Based MapReduce Model in Heterogeneous Clusters. In: Advances in Web-Based Learning, LNCS 8390. Springer, pp. 170–179, doi:10.1007/978-3-662-46315-4_18.
  7. F. Dinu & T.S. E. Ng (2012): Understanding the Effects and Implications of Compute Node Related Failures in Hadoop. In: International Symposium on High-Performance Parallel and Distributed Computing, pp. 187–198, doi:10.1145/2287076.2287108.
  8. S. Li, S. Hu, S. Wang, L. Su, T. Abdelzaher, I. Gupta & R. Pace (2014): WOHA: Deadline-Aware Map-Reduce Workflow Scheduling Framework over Hadoop Clusters. In: IEEE International Conference on Distributed Computing Systems, pp. 93–103, doi:10.1109/ICDCS.2014.18.
  9. K. Ono, Y. Hirai, Y. Tanabe, N. Noda & M. Hagiya (2011): Using Coq in Specification and Program Extraction of Hadoop Mapreduce Applications. In: International Conference on Software Engineering and Formal Methods, pp. 350–365, doi:10.1007/978-3-642-24690-6_24.
  10. OpenCloud. http://ftp.pdl.cmu.edu/pub/datasets/hla/dataset.html.
  11. J. A. Quiané-Ruiz & et al. (2011): RAFTing MapReduce: Fast Recovery on the RAFT. In: IEEE International Conference on Data Engineering, pp. 589–600, doi:10.1109/ICDE.2011.5767877.
  12. G.S. Reddy, F. Yuzhang, L. Yang, S.D. Jin, J. Sun & R. Kanagasabai (2013): Towards Formal Modeling and Verification of Cloud Architectures: A Case Study on Hadoop. In: International World Congress on Services, pp. 306–311, doi:10.1109/SERVICES.2013.47.
  13. M. C. Ruiz, J. Calleja & D. Cazorla (2015): Petri Nets Formalization of Map/Reduce Paradigm to Optimise the Performance-Cost Tradeoff. In: IEEE Trustcom/BigDataSE/ISPA 3, pp. 92–99, doi:10.1109/Trustcom.2015.617.
  14. M. Soualhia, F. Khomh & S. Tahar (2017): Task Scheduling in Big Data Platforms: A Systematic Literature Review. Journal of Systems and Software 134, pp. 170 – 189, doi:10.1016/j.jss.2017.09.001.
  15. W. Su, F. Yang, H. Zhu & Q. Li (2009): Modeling MapReduce with CSP. In: IEEE International Symposium on Theoretical Aspects of Software Engineering, pp. 301–302, doi:10.1109/TASE.2009.28.
  16. J. Sun, Y. Liu, J. S. Dong & C. Chen (2009): Integrating Specification and Programs for System Modeling and Verification. In: IEEE International Symposium on Theoretical Aspects of Software Engineering, pp. 127–135, doi:10.1109/TASE.2009.32.
  17. J. Sun, Y. Liu, J. S. Dong & J. Pang (2009): PAT: Towards Flexible Verification under Fairness. In: Computer Aided Verification, LNCS 5643, pp. 709–714, doi:10.1007/3-540-10843-2_22.
  18. Process Analysis Toolkit. http://sav.sutd.edu.sg/PAT/.
  19. Google Traces. https://github.com/google/cluster-data.
  20. Facebook Traces. https://github.com/SWIMProjectUCB/SWIM/wiki/Workloads-repository.
  21. WordCount Example. http://wiki.apache.org/hadoop/WordCount.
  22. W. Xie, H. Zhu, X. Wu, S. Xiang & J. Guo (2016): Modeling and Verifying HDFS Using CSP. In: IEEE Annual Computer Software and Applications Conference 1, pp. 221–226, doi:10.1109/COMPSAC.2016.158.

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