Deep-dive analysis of the data analytics workload in CloudSuite

IISWC 2014 - IEEE International Symposium on Workload Characterization

Volumn , Issue , 2014, Pages 202-211

  Yasin, Ahmad ^a,b   Ben Asher, Yosi ^b   Mendelson, Avi ^c  

^a INTEL CORPORATION   (United States)

^b UNIVERSITY OF HAIFA   (Israel)

^c TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED ANALYTICS; BENCHMARKING; DATA ANALYTICS;

APPLICATION CODES; ARCHITECTURAL LEVELS; EXPONENTIAL GROWTH; MASSIVELY PARALLEL SYSTEMS; MICRO ARCHITECTURES; OPTIMIZATION APPROACH; POWER REDUCTIONS; PROGRAMMING STYLES;

CODES (SYMBOLS);

EID: 84946021110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IISWC.2014.6983059     Document Type: Conference Paper

References (23)

1. M. Ferdman, A. Adileh, O. Kocberber, S. Volos, M. Alisafaee, D. Jevdjic, C. Kaynak, A. D. Popescu, A. Ailamaki, and B. Falsafi, "Clearing the clouds: a study of emerging scale-out workloads on modern hardware," in ACM SIGARCH Computer Architecture News, 2012, vol. 40, pp. 37-48.
2. A. Yasin, "A Top-Down Method for Performance Analysis and Counters Architecture," in Performance Analysis of Systems and Software (ISPASS), IEEE International Symposium on, 2014.
3. Intel Corporation, "Intel® VTuneTM Amplifier XE 2013." [Online].
4. K. Ren, Y. Kwon, M. Balazinska, and B. Howe, "Hadoop's adolescence: an analysis of Hadoop usage in scientific workloads," Proceedings of the VLDB Endowment, pp. 853-864, 2013.
5. L. Tang, J. Mars, N. Vachharajani, R. Hundt, and M. L. Soffa, "The impact of memory subsystem resource sharing on datacenter applications," in Computer Architecture (ISCA), 2011 38th Annual International Symposium on, 2011, pp. 283-294.
6. L. A. Barroso, J. Dean, and U. Holzle, "Web search for a planet: The Google cluster architecture," Micro, Ieee, , pp. 22-28, 2003.
7. J. Varia, "Architecting for the cloud: Best practices," Amazon Web Services, 2010.
8. J. Dean and Ghemawat, Sanjay, "Map-Reduce for Parallel Computing," in 6th Symposium on Operating Systems Design and Implementation, 2004.
9. "Apache Hadoop." [Online].
10. "Apache Mahout: Scalable machine learning and data mining." [Online].
11. R. W. Wisniewski, R. Azimi, M. Desnoyers, M. M. Michael, J. Moreira, D. Shiloach, and L. Soares, "Experiences understanding performance in a commercial scale-out environment," in Euro-Par 2007 Parallel Processing, Springer, 2007, pp. 139-149.
12. S. Huang, J. Huang, J. Dai, T. Xie, and B. Huang, "The HiBench benchmark suite: Characterization of the MapReduce-based data analysis," in Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on, 2010, pp. 41-51.
13. Intel Corporation, "Intel® 64 and IA-32 Architectures Optimization Reference Manual," Intel. [Online].
14. Google, "Gooda-PMU event analysis package" [Online].
15. O. Kocberber, B. Grot, J. Picorel, B. Falsafi, K. Lim, and P. Ranganathan, "Meet the walkers: accelerating index traversals for in-memory databases," 2013, pp. 468-479.
16. J. Charles, P. Jassi, N. S. Ananth, A. Sadat, and A. Fedorova, "Evaluation of the Intel® CoreTM i7 Turbo Boost feature," in Workload Characterization, 2009. IISWC 2009.
17. J. Dean and L. A. Barroso, "The tail at scale," Communications of the ACM, vol. 56, no. 2, pp. 74-80, 2013.
18. Intel Corporation, "Intel® 64 and IA-32 Architectures Software Developer Manuals," 2014. [Online].
19. "JEP 126: Lambda Expressions & Virtual Extension Methods." [Online]. Available: http://openjdk.java.net/jeps/126.
20. "mahout-collections-Apache Mahout-Apache Software Foundation." [Online].
21. P. Lotfi-Kamran, B. Grot, M. Ferdman, S. Volos, O. Kocberber, J. Picorel, A. Adileh, D. Jevdjic, S. Idgunji, and E. Ozer, "Scale-out processors," in Proceedings of the 39th International Symposium on Computer Architecture, 2012, pp. 500-511.
22. X. Zhang, E. Tune, R. Hagmann, R. Jnagal, V. Gokhale, and J. Wilkes, "CPI 2: CPU performance isolation for shared compute clusters," in Proceedings of the 8th ACM European Conference on Computer Systems, 2013, pp. 379-391.
23. J. Mars, L. Tang, K. Skadron, M. Soffa, and R. Hundt. "Increasing Utilization in Modern Warehouse-Scale Computers Using Bubble-Up."in Micro, IEEE 32, no. 3 (2012): 88-99.