A Performance Study of Big Data on Small Nodes

Proceedings of the VLDB Endowment

Volumn 8, Issue 7 7, 2015, Pages 762-773

  Loghin, Dumitrel ^a   Tudor, Bogdan Marius ^a   Zhang, Hao ^a   Ooi, Beng Chin ^a   Teo, Yong Meng ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARM PROCESSORS; ENERGY EFFICIENCY; MAPREDUCE; QUERY PROCESSING;

DATACENTER; ENERGY EFFICIENT; LOW POWER; MAP-REDUCE; PERFORMANCE; PERFORMANCE STUDY; POWER USAGE; SCALINGS; SERVER NODES; SMALLEST SYSTEMS;

ENERGY UTILIZATION;

EID: 85013677593     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/2752939.2752945     Document Type: Conference Paper

References (34)

1. F. Ahmad, S. T. Chakradhar, A. Raghunathan, T. N. Vijaykumar, Tarazu: Optimizing MapReduce on Heterogeneous Clusters, Proc. of 17th International Conference on Architectural Support for Programming Languages and Operating Systems, pages 61-74, 2012.
2. AMD, AMD to Accelerate the ARM Server Ecosystem with the First ARM-based CPU and Development Platform from a Server Processor Vendor, http://www.webcitation.org/6PgFAdEFp, 2014.
3. AMPLab, Big Data Benchmark, https://amplab.cs.berkeley.edu/benchmark, 2014.
4. ARM, ARM Announces Support For EEMBC CoreMark Benchmark, http://www.webcitation.org/6RPwNECop, 2009.
5. ARM, Dhrystone and MIPs Performance of ARM Processors, http://www.webcitation.org/6RPwC2TUb, 2010.
6. ARM, ARM Architecture Reference Manual. ARMv7-A and ARMv7-R edition, ARM, 2012.
7. T. Bingmann, Parallel Memory Bandwidth Benchmark / Measurement, http://panthema.net/2013/pmbw/, 2013.
8. A. M. Caulfield, L. M. Grupp, S. Swanson, Gordon: Using Flash Memory to Build Fast, Power-efficient Clusters for Data-intensive Applications, Proc. of 14th International Conference on Architectural Support for Programming Languages and Operating Systems, pages 217-228, 2009.
9. S. Chen, A. Ailamaki, M. Athanassoulis, P. B. Gibbons, R. Johnson, I. Pandis, R. Stoica, TPC-E vs. TPC-C: Characterizing the New TPC-E Benchmark via an I/O Comparison Study, SIGMOD Record, 39(3):5-10, 2011.
10. Y. Chen, S. Alspaugh, D. Borthakur, R. Katz, Energy Efficiency for Large-scale MapReduce Workloads with Significant Interactive Analysis, Proc. of 7th ACM European Conference on Computer Systems, pages 43-56, 2012.
11. T. P. P. Council, TPC-C benchmark specification, http://www.tpc.org/tpcc, 2010.
12. T. P. P. Council, TPC-H benchmark specification, http://www.tpc.org/tpch, 2013.
13. E. Feller, L. Ramakrishnan, C. Morin, On the Performance and Energy Efficiency of Hadoop Deployment Models, Proc. of 2013 IEEE International Conference on Big Data, pages 131-136, 2013.
14. V. Gupta, K. Schwan, Brawny vs. Wimpy: Evaluation and Analysis of Modern Workloads on Heterogeneous Processors, Proc. of 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, pages 74-83, 2013.
15. U. Hoelzle, L. A. Barroso, The Datacenter As a Computer: An Introduction to the Design of Warehouse-Scale Machines, Morgan and Claypool Publishers, 1st edition, 2009.
16. L. Keys, S. Rivoire, J. D. Davis, The Search for Energy-efficient Building Blocks for the Data Center, Proc. of 2010 International Conference on Computer Architecture, pages 172-182, 2012.
17. W. Lang, J. M. Patel, Energy Management for MapReduce Clusters, Proc. of VLDB Endowment, 3(1-2):129-139, 2010.
18. K.-H. Lee, Y.-J. Lee, H. Choi, Y. D. Chung, B. Moon, Parallel Data Processing with MapReduce: A Survey, SIGMOD Record, 40(4):11-20, 2012.
19. J. Leverich, C. Kozyrakis, On the Energy (in)Efficiency of Hadoop Clusters, SIGOPS Oper. Syst. Rev., 44(1):61-65, 2010.
20. F. Li, B. C. Ooi, M. T. Özsu, S. Wu, Distributed Data Management Using MapReduce, ACM Computing Surveys, 46(3):31:1-31:42, 2014.
21. H. Liu, A Measurement Study of Server Utilization in Public Clouds, Proc. of IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, pages 435-442, 2011.
22. T. Mühlbauer, W. Rödiger, R. Seilbeck, A. Reiser, A. Kemper, T. Neumann, One DBMS for All: The Brawny Few and the Wimpy Crowd, Proc. of ACM SIGMOD International Conference on Management of Data, pages 697-700, 2014.
23. N. Rajovic, L. Vilanova, C. Villavieja, N. Puzovic, A. Ramirez, The Low Power Architecture Approach Towards Exascale Computing, Journal of Computational Science, 4(6):439-443, 2013.
24. D. Schall, T. Härder, Energy-proportional Query Execution Using a Cluster of Wimpy Nodes, Proc. of the Ninth International Workshop on Data Management on New Hardware, pages 1:1-1:6, 2013.
25. A. L. Shimpi, The ARM vs x86 Wars Have Begun: In-Depth Power Analysis of Atom, Krait & Cortex A15, http://www.webcitation.org/6RIqMPQKg, 2013.
26. D. Tsirogiannis, S. Harizopoulos, M. A. Shah, Analyzing the Energy Efficiency of a Database Server, Proc. of ACM SIGMOD International Conference on Management of Data, pages 231-242, 2010.
27. B. M. Tudor, Y. M. Teo, On Understanding the Energy Consumption of ARM-based Multicore Servers, Proc. of SIGMETRICS, pages 267-278, 2013.
28. S. J. Vaughan-Nichols, Applied Micro, Canonical claim the first ARM 64-bit server production software deployment, http://www.webcitation.org/6RLczwpch, 2014.
29. R. P. Weicker, Dhrystone: A Synthetic Systems Programming Benchmark, Commun. of ACM, 27(10):1013-1030, 1984.
30. Wikipedia, Electricity Pricing, http://www.webcitation.org/6R9bgVRLG, 2013.
31. D. Wong, M. Annavaram, KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity, Proc. of 45th International Symposium on Microarchitecture, pages 119-130, 2012.
32. R. S. Xin, J. Rosen, M. Zaharia, M. J. Franklin, S. Shenker, I. Stoica, Shark: SQL and Rich Analytics at Scale, Proc. of ACM SIGMOD International Conference on Management of Data, pages 13-24, 2013.
33. M. Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauley, M. J. Franklin, S. Shenker, I. Stoica, Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing, Proc. of the 9th USENIX Conference on Networked Systems Design and Implementation, pages 15-28, 2012.
34. H. Zhang, G. Chen, W.-F. Wong, B. C. Ooi, S. Wu, Y. Xia, "Anti-Caching"-based Elastic Data Management for Big Data, Proc. of 31th International Conference on Data Engineering, 2015.