-
1
-
-
77950495739
-
Yahoo! reaches for the stars with M45 supercomputing project
-
Yahoo! reaches for the stars with M45 supercomputing project. http://research.yahoo.com/node/1884.
-
-
-
-
2
-
-
79960166230
-
Reining in the outliers in Map-Reduce clusters using Mantri
-
G. Ananthanarayanan et al. Reining in the outliers in Map-Reduce clusters using Mantri. In OSDI, 2010.
-
(2010)
OSDI
-
-
Ananthanarayanan, G.1
-
3
-
-
84919827070
-
PACMan: Coordinated memory caching for parallel jobs.
-
G. Ananthanarayanan et al. PACMan: Coordinated memory caching for parallel jobs. In NSDI, 2012.
-
(2012)
NSDI
-
-
Ananthanarayanan, G.1
-
4
-
-
85039631675
-
Apache Foundation. Hadoop.
-
Apache Foundation. Hadoop. http://hadoop.apache.org/.
-
-
-
-
5
-
-
84874585436
-
Mahout: Scalable machine learning and data mining
-
Apache Foundation
-
Apache Foundation. Mahout: Scalable machine learning and data mining. http://mahout.apache.org/.
-
-
-
-
6
-
-
77952775707
-
Hive: a petabyte scale data warehouse using Hadoop.
-
Ashish Thusoo et. al. Hive: a petabyte scale data warehouse using Hadoop. In ICDE, pages 996-1005, 2010.
-
(2010)
ICDE
, pp. 996-1005
-
-
Thusoo, A.1
-
7
-
-
77954942463
-
Towards automatic optimization of mapreduce programs.
-
S. Babu. Towards automatic optimization of mapreduce programs. In SoCC, pages 137-142, 2010.
-
(2010)
SoCC
, pp. 137-142
-
-
Babu, S.1
-
8
-
-
67650326696
-
The Hadoop distributed file system: Architecture and design
-
D. Borthakur. The Hadoop distributed file system: Architecture and design. http://lucene.apache.org/hadoop/hdfs_design.pdf, 2007.
-
(2007)
-
-
Borthakur, D.1
-
9
-
-
80053019024
-
The case for evaluating MapReduce performance using workload suites
-
Y. Chen et al. The case for evaluating MapReduce performance using workload suites. In MASCOTS, pages 390-399.
-
MASCOTS
, pp. 390-399
-
-
Chen, Y.1
-
10
-
-
84873134968
-
Interactive query processing in big data systems: A cross-industry study of MapReduce workloads
-
Y. Chen et al. Interactive query processing in big data systems: A cross-industry study of MapReduce workloads. PVLDB, 5(12):1802-1813, 2012.
-
(2012)
PVLDB
, vol.5
, Issue.12
, pp. 1802-1813
-
-
Chen, Y.1
-
11
-
-
85039650777
-
-
Concurrent, Inc. Cascading.
-
Concurrent, Inc. Cascading. http://www.cascading.org/, 2012.
-
-
-
-
12
-
-
85030321143
-
MapReduce: Simplified data processing on large clusters
-
J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. In OSDI, 2004.
-
(2004)
OSDI
-
-
Dean, J.1
Ghemawat, S.2
-
13
-
-
84868142289
-
DiskReduce: RAID for data-intensive scalable computing
-
PDL, Carnegie Mellon University
-
B. Fan et al. DiskReduce: RAID for data-intensive scalable computing. Technical Report CMU-PDL-11-112, PDL, Carnegie Mellon University, 2011.
-
(2011)
Technical Report CMU-PDL-11-112
-
-
Fan, B.1
-
14
-
-
82155174846
-
Profiling, what-if analysis, and cost-based optimization of MapReduce programs
-
H. Herodotou and S. Babu. Profiling, what-if analysis, and cost-based optimization of MapReduce programs. PVLDB, 4(11):1111-1122, 2011.
-
(2011)
PVLDB
, vol.4
, Issue.11
, pp. 1111-1122
-
-
Herodotou, H.1
Babu, S.2
-
15
-
-
77951152705
-
PEGASUS: A peta-scale graph mining system implementation and observations
-
U. Kang et al. PEGASUS: A peta-scale graph mining system implementation and observations. In ICDM, pages 229-238, 2009.
-
(2009)
ICDM
, pp. 229-238
-
-
Kang, U.1
-
16
-
-
77954901315
-
An analysis of traces from a production MapReduce cluster
-
S. Kavulya et al. An analysis of traces from a production MapReduce cluster. In CCGRID, pages 94-103, 2010.
-
(2010)
CCGRID
, pp. 94-103
-
-
Kavulya, S.1
-
17
-
-
85092653290
-
Optimizing data partitioning for data-parallel computing
-
Q. Ke et al. Optimizing data partitioning for data-parallel computing. In HotOS, 2011.
-
(2011)
HotOS
-
-
Ke, Q.1
-
18
-
-
84863739408
-
Perfxplain: Debugging mapreduce job performance
-
N. Khoussainova et al. Perfxplain: Debugging mapreduce job performance. PVLDB, 5(7):598-609, 2012.
-
(2012)
PVLDB
, vol.5
, Issue.7
, pp. 598-609
-
-
Khoussainova, N.1
-
19
-
-
84862648481
-
SkewTune: mitigating skew in mapreduce applications.
-
Y. Kwon et al. SkewTune: mitigating skew in mapreduce applications. In SIGMOD, pages 25-36, 2012.
-
(2012)
SIGMOD
, pp. 25-36
-
-
Kwon, Y.1
-
21
-
-
77954723629
-
Pregel: a system for large-scale graph processing
-
G. Malewicz et al. Pregel: a system for large-scale graph processing. In SIGMOD, pages 135-146, 2010.
-
(2010)
SIGMOD
, pp. 135-146
-
-
Malewicz, G.1
-
22
-
-
55349148888
-
Pig Latin: a not-so-foreign language for data processing.
-
C. Olston et al. Pig Latin: a not-so-foreign language for data processing. In SIGMOD, pages 1099-1110, 2008.
-
(2008)
SIGMOD
, pp. 1099-1110
-
-
Olston, C.1
-
23
-
-
70849135404
-
Generating example data for dataflow programs.
-
C. Olston et al. Generating example data for dataflow programs. In SIGMOD, pages 245-256, 2009.
-
(2009)
SIGMOD
, pp. 245-256
-
-
Olston, C.1
-
24
-
-
70350512695
-
A comparison of approaches to large-scale data analysis
-
A. Pavlo et al. A comparison of approaches to large-scale data analysis. In SIGMOD, pages 165-178, 2009.
-
(2009)
SIGMOD
, pp. 165-178
-
-
Pavlo, A.1
-
25
-
-
84891076143
-
A Scalar productivity framework for Hadoop
-
Scoobi Team.
-
Scoobi Team. A Scalar productivity framework for Hadoop. https://github.com/NICTA/scoobi, 2012.
-
(2012)
-
-
-
26
-
-
82155186219
-
Modeling and synthesizing task placement constraints in Google compute clusters
-
B. Sharma et al. Modeling and synthesizing task placement constraints in Google compute clusters. In SoCC, pages 3:1-3:14, 2011.
-
(2011)
SoCC
, vol.3
, Issue.1-3
, pp. 14
-
-
Sharma, B.1
-
27
-
-
84863511023
-
Adaptive MapReduce using situation-aware mappers.
-
R. Vernica et al. Adaptive MapReduce using situation-aware mappers. In EDBT, pages 420-431, 2012.
-
(2012)
EDBT
, pp. 420-431
-
-
Vernica, R.1
|