-
1
-
-
84889578689
-
-
Apache Giraph, http://giraph.apache.org.
-
-
-
-
2
-
-
84889593036
-
-
Apache Hadoop, http://hadoop.apache.org.
-
-
-
-
3
-
-
77954948422
-
Nephele/PACTs: A programming model and execution framework for web-scale analytical processing
-
D. Battré, S. Ewen, F. Hueske, O. Kao, V. Markl, and D. Warneke. Nephele/PACTs: A programming model and execution framework for web-scale analytical processing. In SoCC, pp. 119-130, 2010.
-
(2010)
SoCC
, pp. 119-130
-
-
Battré, D.1
Ewen, S.2
Hueske, F.3
Kao, O.4
Markl, V.5
Warneke, D.6
-
5
-
-
19944376183
-
The webgraph framework I: Compression techniques
-
P. Boldi and S. Vigna. The Webgraph Framework I: Compression techniques. In WWW, pp. 595-602, 2004.
-
(2004)
WWW
, pp. 595-602
-
-
Boldi, P.1
Vigna, S.2
-
6
-
-
84936824655
-
Power and centrality: A family of measures
-
P. Bonacich. Power and Centrality: A family of measures. American Journal of Sociology, pp. 1170-1182, 1987.
-
(1987)
American Journal of Sociology
, pp. 1170-1182
-
-
Bonacich, P.1
-
7
-
-
79957872898
-
Hyracks: A flexible and extensible foundation for data-intensive computing
-
V. R. Borkar, M. J. Carey, R. Grover, N. Onose, and R. Vernica. Hyracks: A flexible and extensible foundation for data-intensive computing. In ICDE, pp. 1151-1162, 2011.
-
(2011)
ICDE
, pp. 1151-1162
-
-
Borkar, V.R.1
Carey, M.J.2
Grover, R.3
Onose, N.4
Vernica, R.5
-
8
-
-
84873119728
-
Scaling datalog for machine learning on big data
-
abs/1203.0160
-
Y. Bu, V. R. Borkar, M. J. Carey, J. Rosen, N. Polyzotis, T. Condie, M. Weimer, and R. Ramakrishnan. Scaling datalog for machine learning on big data. CoRR, abs/1203.0160, 2012.
-
(2012)
CoRR
-
-
Bu, Y.1
Borkar, V.R.2
Carey, M.J.3
Rosen, J.4
Polyzotis, N.5
Condie, T.6
Weimer, M.7
Ramakrishnan, R.8
-
9
-
-
85065181066
-
The chubby lock service for loosely-coupled distributed systems
-
M. Burrows. The Chubby lock service for loosely-coupled distributed systems. In OSDI, pp. 335-350, 2006.
-
(2006)
OSDI
, pp. 335-350
-
-
Burrows, M.1
-
10
-
-
84890768200
-
Measuring user influence in twitter: The million follower fallacy
-
M. Cha, H. Haddadi, F. Benevenuto, and P. K. Gummadi. Measuring user influence in Twitter: The million follower fallacy. In ICWSM, 2010.
-
(2010)
ICWSM
-
-
Cha, M.1
Haddadi, H.2
Benevenuto, F.3
Gummadi, P.K.4
-
11
-
-
35348914807
-
Google news personalization: Scalable online collaborative filtering
-
A. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: Scalable online collaborative filtering. In WWW, pp. 271-280, 2007.
-
(2007)
WWW
, pp. 271-280
-
-
Das, A.1
Datar, M.2
Garg, A.3
Rajaram, S.4
-
12
-
-
37549003336
-
MapReduce: Simplified data processing on large clusters
-
J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. Commun. ACM, 51(1):107-113, 2008.
-
(2008)
Commun. ACM
, vol.51
, Issue.1
, pp. 107-113
-
-
Dean, J.1
Ghemawat, S.2
-
13
-
-
0042078549
-
A survey of rollback-recovery protocols in message-passing systems
-
E. N. Elnozahy, L. Alvisi, Y.-M. Wang, and D. B. Johnson. A survey of rollback-recovery protocols in message-passing systems. ACM Comput. Surv., 34(3):375-408, 2002.
-
(2002)
ACM Comput. Surv.
, vol.34
, Issue.3
, pp. 375-408
-
-
Elnozahy, E.N.1
Alvisi, L.2
Wang, Y.-M.3
Johnson, D.B.4
-
14
-
-
84870501280
-
Spinning fast iterative data flows
-
S. Ewen, K. Tzoumas, M. Kaufmann, and V. Markl. Spinning fast iterative data flows. PVLDB, 5(11):1268-1279, 2012.
-
(2012)
PVLDB
, vol.5
, Issue.11
, pp. 1268-1279
-
-
Ewen, S.1
Tzoumas, K.2
Kaufmann, M.3
Markl, V.4
-
16
-
-
80052668032
-
Large-scale matrix factorization with distributed stochastic gradient descent
-
R. Gemulla, E. Nijkamp, P. J. Haas, and Y. Sismanis. Large-scale matrix factorization with distributed stochastic gradient descent. In KDD, pp. 69-77, 2011.
-
(2011)
KDD
, pp. 69-77
-
-
Gemulla, R.1
Nijkamp, E.2
Haas, P.J.3
Sismanis, Y.4
-
20
-
-
84866464719
-
Centralities in large networks: Algorithms and observations
-
U. Kang, S. Papadimitriou, J. Sun, and H. Tong. Centralities in large networks: Algorithms and observations. In SDM, pp. 119-130, 2011.
-
(2011)
SDM
, pp. 119-130
-
-
Kang, U.1
Papadimitriou, S.2
Sun, J.3
Tong, H.4
-
21
-
-
77951152705
-
Pegasus: A peta-scale graph mining system
-
U. Kang, C. E. Tsourakakis, and C. Faloutsos. Pegasus: A peta-scale graph mining system. In ICDM, pp. 229-238, 2009.
-
(2009)
ICDM
, pp. 229-238
-
-
Kang, U.1
Tsourakakis, C.E.2
Faloutsos, C.3
-
22
-
-
0002827622
-
A new status index derived from sociometric analysis
-
L. Katz. A new status index derived from sociometric analysis. Psychometrika, 18(1):39-43, 1953.
-
(1953)
Psychometrika
, vol.18
, Issue.1
, pp. 39-43
-
-
Katz, L.1
-
23
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Y. Koren, R. M. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 2009.
-
(2009)
IEEE Computer
-
-
Koren, Y.1
Bell, R.M.2
Volinsky, C.3
-
24
-
-
84863735533
-
Distributed GraphLab: A framework for machine learning in the cloud
-
Y. Low, J. Gonzalez, A. Kyrola, D. Bickson, C. Guestrin, and J. M. Hellerstein. Distributed GraphLab: A framework for machine learning in the cloud. PVLDB, 5(8):716-727, 2012.
-
(2012)
PVLDB
, vol.5
, Issue.8
, pp. 716-727
-
-
Low, Y.1
Gonzalez, J.2
Kyrola, A.3
Bickson, D.4
Guestrin, C.5
Hellerstein, J.M.6
-
25
-
-
77954723629
-
Pregel: A system for large-scale graph processing
-
G. Malewicz, M. H. Austern, A. J. C. Bik, J. C. Dehnert, I. Horn, N. Leiser, and G. Czajkowski. Pregel: A system for large-scale graph processing. In SIGMOD pp. 135-146, 2010.
-
(2010)
SIGMOD
, pp. 135-146
-
-
Malewicz, G.1
Austern, M.H.2
Bik, A.J.C.3
Dehnert, J.C.4
Horn, I.5
Leiser, N.6
Czajkowski, G.7
-
27
-
-
84873171138
-
Rex: Recursive, delta-based data-centric computation
-
S. R. Mihaylov, Z. G. Ives, and S. Guha. Rex: Recursive, delta-based data-centric computation. PVLDB, 5(11):1280-1291, 2012.
-
(2012)
PVLDB
, vol.5
, Issue.11
, pp. 1280-1291
-
-
Mihaylov, S.R.1
Ives, Z.G.2
Guha, S.3
-
28
-
-
33749468596
-
Finding community structure in networks using the eigenvectors of matrices
-
M. E. J. Newman. Finding community structure in networks using the eigenvectors of matrices. Phys. Rev. E, 74:036104, 2006.
-
(2006)
Phys. Rev. E
, vol.74
, pp. 036104
-
-
Newman, M.E.J.1
-
30
-
-
0001836926
-
Con tracts - A low-level mechanism for building general-purpose workflow management-systems
-
A. Reuter and F. Schwenkreis. Con Tracts - A low-level mechanism for building general-purpose workflow management-systems. IEEE Data Eng. Bull., 18(1):4-10, 1995.
-
(1995)
IEEE Data Eng. Bull.
, vol.18
, Issue.1
, pp. 4-10
-
-
Reuter, A.1
Schwenkreis, F.2
-
31
-
-
84862652147
-
Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing
-
M. Zaharia, M. Chowdhury, T. Das, D. Ankur, M. McCauley, M. Franklin, S. Shenker and I. Stoica. Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. NDSI, pp. 2-2 2012.
-
(2012)
NDSI
, pp. 2-2
-
-
Zaharia, M.1
Chowdhury, M.2
Das, T.3
Ankur, D.4
McCauley, M.5
Franklin, M.6
Shenker, S.7
Stoica, I.8
-
32
-
-
0025467711
-
A bridging model for parallel computation
-
L. G. Valiant. A bridging model for parallel computation. Commun. ACM, 33(8):103-111, 1990.
-
(1990)
Commun. ACM
, vol.33
, Issue.8
, pp. 103-111
-
-
Valiant, L.G.1
-
33
-
-
84962598306
-
Discretized streams: An efficient and fault-tolerant model for stream processing on large clusters
-
M. Zaharia, T. Das, H. Li, S. Shenker, and I. Stoica. Discretized streams: An efficient and fault-tolerant model for stream processing on large clusters. In HotCLoud, 2012.
-
(2012)
HotCLoud
-
-
Zaharia, M.1
Das, T.2
Li, H.3
Shenker, S.4
Stoica, I.5
-
34
-
-
48249089255
-
Large-scale parallel collaborative filtering for the netflix prize
-
Y. Zhou, D. M. Wilkinson, R. Schreiber, and R. Pan. Large-scale parallel collaborative filtering for the netflix prize. In AAIM, pp. 337-348, 2008.
-
(2008)
AAIM
, pp. 337-348
-
-
Zhou, Y.1
Wilkinson, D.M.2
Schreiber, R.3
Pan, R.4
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