Research on scheduling scheme for hadoop clusters

Procedia Computer Science

Volumn 18, Issue , 2013, Pages 2468-2471

  Xie, Jiong ^a,b   Meng, FanJun ^c   Wang, HaiLong ^c   Pan, HongFang ^b   Cheng, JinHong ^b   Qin, Xiao ^a  

^a Inner Mongolia Electric Power Information and Communication Center   (China)

^b AUBURN UNIVERSITY   (United States)

^c INNER MONGOLIA NORMAL UNIVERSITY   (China)

Author keywords

Mapreduce; Prefetching; Schedule

Indexed keywords

EID: 84895757470     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.05.423     Document Type: Conference Paper

References (7)

1. J. Xie, S. Yin, X. Ruan, Z. Ding, Y. Tian, J. Majors, A. Manzanares, X. Qin, Improving mapreduce performance through data placement in heterogeneous hadoop clusters, in: Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on, April, pp. 1-9. doi:10.1109/IPDPSW.2010.5470880.
2. R. H. Patterson, G. A. Gibson, E. Ginting, D. Stodolsky, J. Zelenka, Informed prefetching and caching, SIGOPS Oper. Syst. Rev. 29 (1995) 79-95.
3. T. White, Hadoop The Definitive Guide, O'Reilly, 2009.
4. J. Venner, Pro Hadoop, Apress, 2009.
5. S. Seo, I. Jang, K.Woo, I. Kim, J.-S. Kim, S. Maeng, Hpmr: Prefetching and pre-shuffling in shared mapreduce computation environment, in: Proceedings of 11th IEEE International Conference on Cluster Computing, ACM, 2009, pp. 16-20.
6. A. J. Smith, Cache memories, ACM Comput. Surv. 14 (1982) 473-530.
7. M.Zaharia, A.Konwinski, A.Joseph, Y.zatz, I.Stoica, Improving mapreduce performance in heterogeneous environments, In OSDI'08: 8th USENIX Symposium on Operating Systems Design and Implementation.