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A Survey on Job Scheduling in Big Data Cover
By: M. Senthilkumar and  P. Ilango  
Open Access
|Aug 2016

References

  1. 1. Abraham, A., R. Buyya, B. Nath. Nature’s Heuristics for Scheduling Jobs on Computational Grids. - In: Proc. of IEEE International Conference on Advanced Computing and Communications, 2000, pp. 1-8.
  2. 2. Ada, R., R. Kaur. - International Journal of Advanced Research in Computer Science and Software Engineering. - Ijarcsse, Vol. 3, 2013, No 3, pp. 665-668.
  3. 3. Assunção, M. D., R. N. Calheiros, S. Bianchi, M. A. S. Netto, R. Buyya. Big Data Computing and Clouds: Trends and Future Directions. - Journal of Parallel and Distributed Computing, 2015, 79-80, pp. 3-15.10.1016/j.jpdc.2014.08.003
  4. 4. Bardhan, S., D. Menasc. The Anatomy of Mapreduce Jobs, Scheduling, and Performance Challenges. - In: Proc. of Computer Measurement Group, 2013.
  5. 5. Bardhan, S., D. Menascé. Queuing Network Models to Predict the Completion Time of the Map Phase of Map Reduce Jobs, 2012.
  6. 6. Bu, Y., B. Howe, M. D. Ernst. Ha Loop : Efficient Iterative Data Processing on Large Clusters. - Proceedings of the VLDB Endowment, Vol. 3, 2010, No 1-2, pp. 285-296.10.14778/1920841.1920881
  7. 7. Casavant, T. L., J. G. Kuhl. A Taxonomy of Scheduling in General-Purpose Distributed Computing Systems. - IEEE Transactions on Software Engineering, Vol. 14, 1988, No 2, pp. 141-154.10.1109/32.4634
  8. 8. Coulouris, G., J. Dollimore, T. Kindberg. Distributed Systems: Concepts and Design. - Computer, Vol. 4, 2012.
  9. 9. Dabhi, V. K., H. B. Prajapati. Soft Computing Based Intelligent Grid Architecture. - In: Proc. of International Conference on Computer and Communication Engineering (ICCCE’08), Global Links for Human Development, 13-15 May 2008, pp. 574-577.
  10. 10. Davis, R. I., A. Burns. A Survey of Hard Real-Time Scheduling for Multiprocessor Systems. - ACM Computing Surveys, Vol. 43, 2011, No 4, pp. 1-44.10.1145/1978802.1978814
  11. 11. Dittrich, J., J.-A. Quiané-Ruiz, A. Jindal, Y. Kargin, V. Sett y, J. Schad. Hadoop++: Makinga Yellow Elephant Run Likea Cheetah (Without it Even Noticing). - Proceedings of the VLDB Endowment, Vol. 3, 2010, No 1-2, pp. 515-529.10.14778/1920841.1920908
  12. 12. Dong, F., S. G. Akl. Scheduling Algorithms for Grid Computing : State of the Art and Open Problems. - Components, Vol. 202, 2006, No 4, pp. 1-55.
  13. 13. Doulkeridis, C., K. Nørvåg. A Survey of Large-Scale Analytical Query Processing in Map Reduce. - VLDB Journal, Vol. 23, 2014, No 3, pp. 355-380.10.1007/s00778-013-0319-9
  14. 14. Ekanayake, J., H. Li, B. Zhang, T. Gunarathne, S. Bae, J. Qiu, G. Fox. Twister : A Runtime for Iterative Map Reduce. - In: Proc. of 19th ACM International Symposium on High Performance Distributed Computing, HPDC’10, 2010, pp. 810-818.
  15. 15. Hadoop Fair Scheduler Design Document, 2010, pp. 1-11
  16. 16. He, C., Y. Lu, D. Swanson. Matchmaking: A New Map Reduce Scheduling Technique. - In: Proc. of 3rd IEEE International Conference on Cloud Computing Technology and Science, Cloud Com’2011, 2011, pp. 40-47.
  17. 17. Herodotou, H., S. Babu. Profiling, What-if Analysis, and Cost-Based Optimization of Map Reduce Programs. - PVLDB: Proceedings of the VLDB Endowment, Vol. 4, 2011, No 11, pp. 1111-1122.10.14778/3402707.3402746
  18. 18. Herodotou, H., F. Dong, S. Babu. Mapreduce Programming and Costbased Optimization? Crossing this Chasm with Starfish. - Proceedings of the VLDB Endowment, Vol. 4, 2011, No 12, pp. 1446-1449.10.14778/3402755.3402792
  19. 19. Jahani, E., M. J. Cafarella, C. Ré. Automatic Optimization for Map Reduce Programs. - Proceedings of the VLDB Endowment, Vol. 4, 2011, No 6, pp. 385-396.10.14778/1978665.1978670
  20. 20. Gautam, J. V., H. B. Prajapati, V. K. Dabhi, S. Chaudhary. A Survey on Job Scheduling Algorithms in Big Data Processing. - In: Proc. of IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT’15), Coimbatore, 2015, pp. 1-11.10.1109/ICECCT.2015.7226035
  21. 21. Kc, K., K. Anyanwu. Scheduling Hadoop Jobs to Meet Deadlines. - In: Proc. of 2nd IEEE International Conference on Cloud Computing Technology and Science (Cloud Com’10), 2010, pp. 388-392.10.1109/CloudCom.2010.97
  22. 22. Kwon, Y., M. Balazinska, B. Howe, J. Rolia. Skew Tune: Mitigating Skew in Mapreduce Applications. - In: Proc. of 2012 ACM SIGMOD International Conference on Management of Data, 2012, pp. 25-36.
  23. 23. Lee, K. H., Y. J. Lee, H. Choi, Y. D. Chung, B. Moon. Parallel Data Processing with Map Reduce: A Survey. - SIGMOD Record, Vol. 40, 2011, No 4, pp. 11-20.10.1145/2094114.2094118
  24. 24. Liao, Xinyi, et al. An Enforcement of Real Time Scheduling in Spark Streaming. - In: Proc. of Green Computing Conference and Sustainable Computing Conference IEEE, 2015, pp. 1-6.
  25. 25. Lim, H., H. Herodotou, S. Babu. Stubby: A Transformation-Based Optimizer for Map Reduce Workflows. - Proceedings of the VLDB Endowment, Vol. 5, 2012, No 11, pp. 1196-1207.10.14778/2350229.2350239
  26. 26. Lin, Y., D. Agrawa l, C. Chen, B. C. Ooi, S. Wu. Llama: Leveraging Columnar Storage for Scalable Join Processing in the Map Reduce Framework. - In: Proc. of 2011 International Conference on Management of Data (SIGMOD’11), 2011, pp. 961-972.
  27. 27. Prajapati, H. B., V. A. Shah. Scheduling in Grid Computing Environment. - In: Proc. of 4th International Conference on Advanced Computing & Communication Technologies, 2014, pp. 315-324.10.1109/ACCT.2014.32
  28. 28. Rao, B. T., L. S. S. Reddy. Survey on Improved Scheduling in Hadoop Map Reduce in Cloud Environments. - International Journal of Computer Applications, Vol. 34, 2012, No 9, pp. 29-33.
  29. 29. Rasooli, A., D. G. Down. A Hybrid Scheduling Approach for Scalable Heterogeneous Hadoop Systems. - In: Proc. of 2012 SC Companion: High Performance Computing, Networking Storage and Analysis (SCC’2012), 2012, pp. 1284-1291.
  30. 30. Sakr, S., A. Liu, A. G. Fayoumi. The Family of Map Reduce and Large-Scale Data Processing Systems. - ACM Computing Surveys, Vol. 46, 2013, No 1, pp. 1-44.10.1145/2522968.2522979
  31. 31. International Journal of Advanced Research, Vol. 3, 2013, No 5, pp. 875-878.
  32. 32. Suthaharan, S. Big Data Classification: Problems and Challenges in Network Intrusion Prediction with Machine Learning. - Performance Evaluation Review, Vol. 41, 2014, No 4, pp. 70-73.10.1145/2627534.2627557
  33. 33. Verma, A., L. Cherkasova, R. Campbell. ARIA: Automatic Resource Inference and Allocation for Map Reduce Environments. - In: Proc. of 8th ACM International Conference on Autonomic Computing, 2011, pp. 235-244.
  34. 34. Wang, C. Journal of Computers, Vol. 8, 2013, No 3.
  35. 35. Wolf, J., A. Balmin, D. Rajan, K. Hildrum, R. Khandekar, S. Parekh, R. Vernica. CIRCUMFLEX: A Scheduling Optimizer for Map Reduce Workloads with Shared Scans. - ACM SIGOPS Operating Systems Review, Vol. 46, 2012, No 1.10.1145/2146382.2146388
  36. 36. Yang, Zhiw Ei, et al. Adaptive Task Scheduling Strategy for Heterogeneous Spark Cluster. - Computer Engineering, 2016.
  37. 37. Yong, M., N. Garegrat, S. Mohan. Towardsa Resource Aware Scheduler in hadoop. - In: Proc. of ICWS, 2009, pp. 1-10.
  38. 38. Yoo, D., K. M. Sim. A Comparative Review of Job Scheduling for Map Reduce. - In: IEEE International Conference on Cloud Computing and Intelligence Systems, 2011, pp. 353-358.10.1109/CCIS.2011.6045089
  39. 39. Zaharia, M., D. Borthakur, J. Sen 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, 2010, pp. 265-278.
  40. 40. Zaharia, M., A. Konwinski, A. Joseph, R. Katz, I. Stoica. Improving Map Reduce Performance in Heterogeneous Environments. - Osdi, 2008, pp. 29-42.
  41. 41. Zhang, Y., Q. Gao, L. Gao, C. Wang. i Map Reduce: A Distributed Computing Framework for Iterative Computation. - Journal of Grid Computing, Vol. 10, 2012, No 1, pp. 47-68. 10.1007/s10723-012-9204-9
DOI: https://doi.org/10.1515/cait-2016-0033 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 35 - 51
Published on: Aug 19, 2016
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 M. Senthilkumar, P. Ilango, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.