À propos de cet article

Citez

1. Bardhan, S., D. A. Menascé. The Anatomy of Mapreduce Jobs, Scheduling, and Performance Challenges. - In: Proc. of 2013 Conference of the Computer Measurement Group, 2013.Search in Google Scholar

2. Apache Hadoop. Last accessed on 15 April 2016. http://hadoop.apache.orgSearch in Google Scholar

3. Shilpa, M. K. Big Data Visualization Tool with Advancement of Challenges. - International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 4, 2014, No 3, pp. 665-668.Search in Google Scholar

4. Davis, R. I., A. Burns. A Survey of Hard Real-Time Scheduling for Multiprocessor Systems. - ACM Computing Surveys (CSUR), ACM, Vol. 43, 2011, No 4, p. 35.10.1145/1978802.1978814Search in Google Scholar

5. Herodotou, H., S. Babu. Profiling, What-if Analysis, and Cost-Based Optimization of Mapreduce Programs. - In: Proc. of VLDB Endowment, 2011, pp. 1111-1122.10.14778/3402707.3402746Search in Google Scholar

6. Wang, G., A. R. Butt, P. Pandey, K. Gupta. A Simulation Approach to Evaluating Design Decisions in Mapreduce Setups. - In: MASCOTS, 2009, pp. 1-11.Search in Google Scholar

7. Zaharia, M., D. Borthakur, J. S. Sarma, K. Elmeleegy, S. Shenker, I. Stoica, Delay Scheduling: A Simple Technique for Achieving Locality and Fairness in Cluster Scheduling. - In: Proc. of 5th European Conference on Computer Systems, ACM, 2010, pp. 265-278.Search in Google Scholar

8. Liu, S., J. Xu, Z. Liu, X. Liu. Evaluating Task Scheduling in Hadoop-Based Cloud Systems. - In: 2013 IEEE International Conference on Big Data, IEEE, 2013, pp. 47-53.10.1109/BigData.2013.6691697Search in Google Scholar

9. Gautam, J. V., H. B. Prajapati, V. K. Dabhi, S. Chaudhary. A Survey on Job Scheduling Algorithms in Big Data Processing. - In: 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), IEEE, 2015, pp. 1-11.10.1109/ICECCT.2015.7226035Search in Google Scholar

10. Zaharia, M. Hadoop Fair Scheduler Design Document, August 15 2009. Last accessed on 15 April 2016. http://svn.apache.org/repos/asf/hadoop/common/branches/MAPREDUCE-233/src/contrib/fairscheduler/designdoc/fair_scheduler_design_doc.pdf.Search in Google Scholar

11. Wang, D., J. Chen, W. Zhao. A Task Scheduling Algorithm for Hadoop Platform. - Journal of Computers, Vol. 8, 2013, No 4, pp. 929-936.10.4304/jcp.8.4.929-936Search in Google Scholar

12. Gu, R., X. Yang, J. Yan, Y. Sun, B. Wang, C. Yuan, Y. Huang. Shadoop: Improving Mapreduce Performance by Optimizing Job Execution Mechanism in Hadoop Clusters. - Journal of Parallel and Distributed Computing, Vol. 74, 2014, No 3, pp. 2166-2179.10.1016/j.jpdc.2013.10.003Search in Google Scholar

13. Anjos, J. C., I. Carrera, W. Kolberg, A. L. Tibola, L. B. Arantes, C. R. Geyer. Mra++: Scheduling and Data Placement on Mapreduce for Heterogeneous Environments. - Future Generation Computer Systems, Vol. 42, 2015, pp. 22-35.10.1016/j.future.2014.09.001Search in Google Scholar

14. Ling, X., Y. Yuan, D. Wang, J. Liu, J. Yang. Joint Scheduling of Mapreduce Jobs with Servers: Performance Bounds and Experiments. - Journal of Parallel and Distributed Computing, Elsevier, Vol. 90, 2016, pp. 52-66.10.1016/j.jpdc.2016.02.002Search in Google Scholar

15. Li, X., T. Jiang, R. Ruiz. Heuristics for Periodical Batch Job Scheduling ina Mapreduce Computing Framework. - Information Sciences, Elsevier, Vol. 326, 2016, pp. 119-133.10.1016/j.ins.2015.07.040Search in Google Scholar

16. Mashayekhy, L., M. M. Nejad, D. Grosu, Q. Zhang, W. Shi. Energy-Aware Scheduling of Mapreduce Jobs for Big Data Applications. - IEEE Transactions on Parallel and Distributed Systems, IEEE, Vol. 26, 2015, No 10, pp. 2720-2733.10.1109/TPDS.2014.2358556Search in Google Scholar

17. Tang, Z., J. Zhou, K. Li, R. Li. A Mapreduce Task Scheduling Algorithm for Deadline Constraints. - Cluster Computing, Springer, Vol. 16, 2013, No 4, pp. 651-662.10.1007/s10586-012-0236-5Search in Google Scholar

18. Wang, Y., W. Shi. Budget-Driven Scheduling Algorithms for Batches of Mapreduce Jobs in Heterogeneous Clouds. - IEEE Transactions on Cloud Computing, IEEE, Vol. 2, 2014, No 3, pp. 306-319.10.1109/TCC.2014.2316812Search in Google Scholar

19. Liu, Y., W. Wei. A Replication-Based Mechanism for Fault Tolerance in Mapreduce Framework. – Mathematical Problems in Engineering, Hindawi Publishing Corporation, Vol. 2015, 2015.10.1155/2015/408921Search in Google Scholar

20. Chen, Q., M. Guo, Q. Deng, L. Zheng, S. Guo, Y. Shen. Hat: History-Based Auto-Tuning Mapreduce in Heterogeneous Environments. – The Journal of Supercomputing, Springer, Vol. 64, 2013, No 3, pp. 1038-1054.10.1007/s11227-011-0682-5Search in Google Scholar

21. Gunarathne, T., B. Zhang, T.-L. Wu, J. Qiu. Scalable Parallel Computing on Clouds Using Twister4azure Iterative Mapreduce. – Future Generation Computer Systems, Elsevier, Vol. 29, 2013, No 4, pp. 1035-1048.10.1016/j.future.2012.05.027Search in Google Scholar

22. Sun, M., H. Zhuang, C. Li, K. Lu, X. Zhou. Scheduling Algorithm Based on Prefetching in Mapreduce Clusters. – Applied Soft Computing, Elsevier, Vol. 38, 2016, pp. 1109-1118.10.1016/j.asoc.2015.04.039Search in Google Scholar

23. Sehrish, S., G. Mackey, P. Shang, J. Wang, J. Bent. Supporting hpc Analytics Applications with Access Patterns Using Data Restructuring and Data-Centric Scheduling Techniques in Mapreduce. – IEEE ransactions on Parallel and Distributed Systems, IEEE, Vol.Search in Google Scholar

24, 2013, No 1, pp. 158-169. 24. Wang, L., J. Tao, R. Ranjan, H. Marten, A. Streit, J. Chen, D. Chen. G-Hadoop: Mapreduce Across Distributed Data Centers for Data-Intensive Computing. – Future Generation Computer Systems, Elsevier, Vol. 29, 2013, No 3, pp. 739-750.10.1016/j.future.2012.09.001Search in Google Scholar

25. Tiwari, N., S. Sarkar, U. Bellur, M. Indrawan. Classification Framework of Mapreduce Scheduling Algorithms. – ACM Computing Surveys (CSUR), ACM, Vol. 47, 2015, No 3, p. 49.10.1145/2693315Search in Google Scholar

26. Li, F., B. C. Ooi, M. T. Özsu, S. Wu. Distributed Data Management Using Mapreduce. – ACM Computing Surveys (CSUR), ACM, Vol. 46, 2014, No 3, p. 31.10.1145/2503009Search in Google Scholar

27. Lee, K.-H., Y.-J. Lee, H. Choi, Y. D. Chung, B. Moon. Parallel Data Processing with Mapreduce: A Survey. – Ac Ms IGMo D Record, ACM, Vol. 40, 2012, No 4, pp. 11-20.10.1145/2094114.2094118Search in Google Scholar

28. Inacio, E. C., M. A. Dantas. A Survey into Performance and Energy Efficiency in hpc, Cloud and Big Data Environments. – International Journal of Networking and Virtual Organisations, Inderscience Publishers, Vol. 14, 2014, No 4, pp. 299-318.10.1504/IJNVO.2014.067878Search in Google Scholar

29. Althebyan, Q., Y. Jararweh, Q. Yaseen, O. Al Qudah, M. Al- Ayyoub. Evaluating Map Reduce Tasks Scheduling Algorithms over Cloud Computing Infrastructure. – Concurrency and Computation: Practice and Experience, Wiley Online Library, Vol. 27, 2015, No 18, pp. 5686-5699.10.1002/cpe.3595Search in Google Scholar

30. Jia, Z., R. Zhou, C. Zhu, L. Wang, W. Gao, Y. Shi, J. Zhan, L. Zhang. The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems. – In: Specifying Big Data Benchmarks, Springer, 2014, pp. 44-59.10.1007/978-3-642-53974-9_5Search in Google Scholar

31. He, C., Y. Lu, D. Swanso n. Matchmaking: A New Mapreduce Scheduling Technique. – In: 2011 IEEE Third International Conference on Cloud Computing Technology and Science (Cloud Com), IEEE, 2011, pp. 40-47.Search in Google Scholar

eISSN:
1314-4081
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Computer Sciences, Information Technology