-
1
-
-
84889071369
-
Big data
-
2012-10-02
-
Nature. Big Data [EB/OL]. [2012-10-02]. http://www.nature.com/news/specials/bigdata/index.html
-
-
-
-
2
-
-
84870402156
-
Big-Data computing: Creating revolutionary breakthroughs in commerce, science, and society
-
2012-10-02
-
Bryant R E, Katz R H, Lazowska E D. Big-Data computing: Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http://www.cra.org/ccc/docs/init/Big_Data.pdf
-
-
-
Bryant, R.E.1
Katz, R.H.2
Lazowska, E.D.3
-
3
-
-
84874684489
-
Special online collection: Dealing with data
-
Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www.sciencemag.org/site/special/data/, 2011
-
(2011)
-
-
-
4
-
-
84873103791
-
Challenges and opportunities with big data - A community white paper developed by leading researchers across the United States
-
2012-10-02
-
Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data-A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra.org/ccc/docs/init/bigdata whitepaper.pdf
-
-
-
Agrawal, D.1
Bernstein, P.2
Bertino, E.3
-
5
-
-
81055138684
-
Big data: The next frontier for innovation, competition, and productivity
-
2012-10-02
-
Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [2012-10-02]. http://www.mckinsey.com/Insights/MGI/Research/Technology_and_ Innovation/Big_data_The_next_frontier_for_innovation
-
-
-
Manyika, J.1
Chui, M.2
Brown, B.3
-
6
-
-
84874699039
-
Big data, big impact: New possibilities for international development
-
World Economic Forum. 2012-10-02
-
World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012-10-02]. http://www3.weforum.org/docs/WEF_TC_MFS_BigDataBigImpact_ Briefing_2012.pdf
-
-
-
-
7
-
-
84874723265
-
Big data across the federal government
-
2012-10-02
-
Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www.whitehouse.gov/sites/default/files/microsites/ostp/ big_data_fact_sheet_final_1.pdf
-
-
-
-
8
-
-
84874717083
-
Big data for development: Challenges & opportunities
-
2012-10-02
-
UN Global Pulse. Big Data for Development: Challenges & Opportunities [R/OL]. [2012-10-02]. http://www.unglobalpulse.org/projects/BigDataforDevelopment
-
-
-
-
9
-
-
84863741148
-
The age of big data
-
2012-10-02
-
Times N Y. The age of big data [EB/OL]. [2012-10-02]. http://www.nytimes.com/2012/02/12/sunday-review/ big-datas-impact-in-the-world.html?pagewanted=all
-
-
-
Times, N.Y.1
-
10
-
-
84874717545
-
Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society
-
2012-10-02
-
Grobelnik M. Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society [R/OL]. [2012-10-02]. http://videolectures.net/eswc2012_grobelnik_big_data/
-
-
-
Grobelnik, M.1
-
12
-
-
84874735156
-
What is big data
-
2012-10-02
-
IBM. What is big data? [EB/OL]. [2012-10-02]. http://www-01.ibm.com/software/data/bigdata/
-
-
-
-
13
-
-
84889071369
-
Big data
-
2012-10-02
-
Big data [EB/OL]. [2012-10-02]. http://en.wikipedia.org/wiki/Big_data
-
-
-
-
14
-
-
77953207828
-
The fourth paradigm: Data-intensive scientific discovery
-
Microsoft Research, Redmond, Washington
-
Hey T, Tansley S, Tolle K. The Fourth Paradigm: Data-intensive Scientific Discovery [M/OL]. Microsoft Research, Redmond, Washington (2009) http://research.microsoft.com/en-us/collaboration/fourthparadigm/
-
(2009)
-
-
Hey, T.1
Tansley, S.2
Tolle, K.3
-
15
-
-
59849122652
-
Computational social science
-
Lazer D, et al. Computational social science [J]. Science. 2009, 323: 721-723
-
(2009)
Science
, vol.323
, pp. 721-723
-
-
Lazer, D.1
-
16
-
-
33846658194
-
A twenty-first century science
-
Watts D J. A twenty-first century science [J]. Nature, 2007, 445(7127): 489
-
(2007)
Nature
, vol.445
, Issue.7127
, pp. 489
-
-
Watts, D.J.1
-
17
-
-
78751497089
-
Data, data, everywhere - A special report on managing information
-
The Economist. 2012-10-02
-
The Economist. Data, data, everywhere-A special report on managing information [EB/OL]. [2012-10-02]. http://www.economist.com/node/15557443
-
-
-
-
18
-
-
84874720497
-
Two computational paradigm for big data
-
2012-10-02. KDD summer school
-
Kumar R. Two computational paradigm for big data [EB/OL]. [2012-10-02]. KDD summer school, 2012. http://kdd2012.sigkdd.org/sites/images/summerschool/Ravi-Kumar.pdf
-
(2012)
-
-
Kumar, R.1
-
19
-
-
84874670050
-
The big data management challenge
-
InformationWeek Report. 2012-10-02
-
InformationWeek Report. The big data management challenge [R/OL]. [2012-10-02]. http://reports.information week.com/abstract/81/8766/business-intelligence-and-information- management/research-the-big-data-management-challenge.html
-
-
-
-
20
-
-
84874723410
-
Storm
-
2012-10-02
-
Storm [EB/OL]. [2012-10-02]. https://github.com/nathanmarz/storm
-
-
-
-
21
-
-
79951736167
-
S4: Distributed stream computing platform
-
Piscataway, NJ: IEEE
-
Neumeyer L, Robbins B, Nair A, et al. S4: Distributed Stream Computing Platform [C]//Proc of ICDM Workshops 2010. Piscataway, NJ: IEEE, 2010: 170-177
-
(2010)
Proc of ICDM Workshops 2010
, pp. 170-177
-
-
Neumeyer, L.1
Robbins, B.2
Nair, A.3
-
22
-
-
84866885656
-
Building LinkedIn's real-time activity data pipeline
-
Goodhope K, Koshy J, Kreps J, et al. Building LinkedIn's Real-time Activity Data Pipeline [J]. Data Engineering, 2012, 35(2): 33-45
-
(2012)
Data Engineering
, vol.35
, Issue.2
, pp. 33-45
-
-
Goodhope, K.1
Koshy, J.2
Kreps, J.3
-
23
-
-
85030321143
-
MapReduce: Simplified data processing on large clusters
-
Berkeley, CA: USENIX Association
-
Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters [C]//Proc of OSDI 2004. Berkeley, CA: USENIX Association, 2004: 137-150
-
(2004)
Proc of OSDI 2004
, pp. 137-150
-
-
Dean, J.1
Ghemawat, S.2
-
24
-
-
84874724626
-
Data Infrastructure at LinkedIn
-
Das S. Data Infrastructure at LinkedIn [C/OL]//Proc of the 5th Extremely Large Databases Conf. http://www-conf.slac.stanford.edu/xldb2011/talks/ xldb2011_tue_1005_LinkedIn.pdf. 2011
-
(2011)
Proc of the 5th Extremely Large Databases Conf
-
-
Das, S.1
-
25
-
-
84874712847
-
ScholarSpace
-
2012-10-02
-
ScholarSpace [EB/OL]. [2012-10-02]. http://www.cdblp.cn/
-
-
-
-
26
-
-
84874717514
-
Integrating extremely large data is extremely challenging
-
Haas L. Integrating Extremely Large Data is Extremely Challenging [C/OL]//Proc of XLDB Asia 2012. http://idke.ruc.edu.cn/xldb/www.xldb-asia.org/program.html
-
Proc of XLDB Asia 2012
-
-
Haas, L.1
-
27
-
-
84856522832
-
Mining of massive datasets
-
2012-10-02
-
Rajaraman A, Jeff Ullman. Mining of Massive Datasets [M/OL]. [2012-10-02]. http://i.stanford.edu/ullman/mmds.html.
-
-
-
Rajaraman, A.1
Ullman, J.2
-
29
-
-
84874723339
-
Hadoop
-
2012-10-02
-
Hadoop [EB/OL]. [2012-10-02]. http://hadoop.apache.org/index.html
-
-
-
-
31
-
-
77649259907
-
GFS: Evolution on fast-forward
-
McKusick K, Quinlan S. GFS: Evolution on fast-forward [J]. Communication of ACM, 2010, 53(3): 42-49
-
(2010)
Communication of ACM
, vol.53
, Issue.3
, pp. 42-49
-
-
McKusick, K.1
Quinlan, S.2
-
32
-
-
84860560293
-
SCOPE: Easy and efficient parallel processing of massive data sets
-
Chaiken R, Jenkins B, Larson P-Å, et al. SCOPE: Easy and efficient parallel processing of massive data sets [J]. PVLDB, 2008, 1(2): 1265-1276
-
(2008)
PVLDB
, vol.1
, Issue.2
, pp. 1265-1276
-
-
Chaiken, R.1
Jenkins, B.2
Larson, P.-Å.3
-
33
-
-
84860687282
-
HDFS architecture guide
-
2012-10-02
-
HDFS Architecture Guide [EB/OL]. [2012-10-02]. http://hadoop.apache.org/docs/hdfs/r0.22.0/hdfs_design.html
-
-
-
-
34
-
-
84874707639
-
CloudStore
-
2012-10-02
-
CloudStore [EB/OL]. [2012-10-02]. http://code.google.com/p/kosmosfs/
-
-
-
-
35
-
-
85076926134
-
Finding a needle in haystack: Facebook's photo storage
-
Berkeley, CA: USENIX Association
-
Beaver D, Kumar S, Li H C, et al. Finding a Needle in Haystack: Facebook's Photo Storage [C]//Proc of OSDI 2010. Berkeley, CA: USENIX Association, 2010: 47-60
-
(2010)
Proc of OSDI 2010
, pp. 47-60
-
-
Beaver, D.1
Kumar, S.2
Li, H.C.3
-
36
-
-
84874752895
-
TFS
-
2012-10-02
-
TFS [EB/OL]. [2012-10-02]. http://code.taobao.org/p/tfs/wiki/index/
-
-
-
-
37
-
-
84874674917
-
FastDFS
-
2012-10-02
-
FastDFS [EB/OL]. [2012-10-02]. http://code.google.com/p/fastdfs/w/list
-
-
-
-
38
-
-
56049089306
-
Towards robust distributed systems (Invited Talk)
-
New York: ACM
-
Brewer E A. Towards robust distributed systems (Invited Talk) [C]//Proc of PODC 2000. New York: ACM, 2000
-
(2000)
Proc of PODC 2000
-
-
Brewer, E.A.1
-
39
-
-
85071319367
-
Bigtable: A distributed storage system for structured data
-
Berkeley, CA: USENIX Association
-
Chang F, Dean J, Ghemawat S, et al. Bigtable: A distributed storage system for structured data [C]//Proc of OSDI 2006. Berkeley, CA: USENIX Association, 2006: 205-218
-
(2006)
Proc of OSDI 2006
, pp. 205-218
-
-
Chang, F.1
Dean, J.2
Ghemawat, S.3
-
40
-
-
70450064414
-
Dynamo: Amazon's highly available key-value store
-
New York: ACM
-
DeCandia G, Hastorun D, Jampani M, et al. Dynamo: Amazon's highly available key-value store [C]//Proc of SOSP 2007. New York: ACM, 2007: 205-220
-
(2007)
Proc of SOSP 2007
, pp. 205-220
-
-
DeCandia, G.1
Hastorun, D.2
Jampani, M.3
-
41
-
-
84867112010
-
PNUTS: Yahoo!'s hosted data serving platform
-
Cooper B F, Ramakrishnan R, Srivastava U, et al. PNUTS: Yahoo!'s hosted data serving platform [J]. PVLDB, 2008, 1(2): 1277-1288
-
(2008)
PVLDB
, vol.1
, Issue.2
, pp. 1277-1288
-
-
Cooper, B.F.1
Ramakrishnan, R.2
Srivastava, U.3
-
42
-
-
80054066748
-
NOSQL databases
-
2012-10-02
-
NOSQL Databases [EB/OL]. [2012-10-02]. http://nosql-database.org/
-
-
-
-
43
-
-
80054066748
-
NoSQL databases
-
2012-10-02
-
Strauch C. NoSQL Databases [EB/OL]. [2012-10-02]. http://www.christof-strauch.de/nosqldbs.pdf
-
-
-
Strauch, C.1
-
44
-
-
79955085235
-
Megastore: Providing scalable, highly available storage for interactive services
-
Baker J, Bond C, Corbett J, et al. Megastore: Providing Scalable, Highly Available Storage for Interactive Services [C]//Proc of CIDR. 2011: 223-234
-
(2011)
Proc of CIDR
, pp. 223-234
-
-
Baker, J.1
Bond, C.2
Corbett, J.3
-
45
-
-
85065170765
-
Spanner: Google's globally-distributed database
-
Berkeley, CA: USENIX Association, 2012-10-10
-
Corbett J C, Dean J, Epstein M, et al. Spanner: Google's globally-distributed database [C/OL]//Proc of OSDI 2012. Berkeley, CA: USENIX Association, 2012. [2012-10-10]. http://static.googleusercontent.com/external_content/untrusted_ dlcp/research.google.com/zh-CN//archive/spanner-osdi2012.pdf
-
(2012)
Proc of OSDI 2012
-
-
Corbett, J.C.1
Dean, J.2
Epstein, M.3
-
46
-
-
84874686498
-
F1: The fault-tolerant distributed RDBMS supporting google's ad business
-
New York: ACM
-
Shute J, Oancea M, Ellner S, et al. F1: The fault-tolerant distributed RDBMS supporting google's ad business [C]//Proc of SIGMOD 2012. New York: ACM, 2012: 777-778
-
(2012)
Proc of SIGMOD 2012
, pp. 777-778
-
-
Shute, J.1
Oancea, M.2
Ellner, S.3
-
47
-
-
80052184829
-
Large-scale incremental processing using distributed transactions and notifications
-
Berkeley, CA: USENIX Association
-
Peng D, Dabek F. Large-scale incremental processing using distributed transactions and notifications [C]//Proc of OSDI 2010. Berkeley, CA: USENIX Association, 2010: 1-15
-
(2010)
Proc of OSDI 2010
, pp. 1-15
-
-
Peng, D.1
Dabek, F.2
-
48
-
-
84874696497
-
Help test some next-generation infrastructure
-
2012-10-02
-
Iyer S C, Utts M. Help test some next-generation infrastructure [EB/OL]. [2012-10-02]. http://googleweb mastercentral.blogspot.com/2009/08/help-test-some-next-generation. html, 2009
-
(2009)
-
-
Iyer, S.C.1
Utts, M.2
-
49
-
-
84874674551
-
KDD summer school
-
2012-10-02
-
Wang Haixun. KDD summer school, 2012. Managing and Mining Billion-Node Graphs [EB/OL]. [2012-10-02]. http://kdd2012.sigkdd.org/sites/images/summerschool/Haixun-Wang.pdf
-
(2012)
Managing and Mining Billion-Node Graphs
-
-
Wang, H.1
-
50
-
-
84874675334
-
ITHbase
-
2012-10-02
-
ITHbase. [EB/OL]. [2012-10-02]. https://github.com/hbase-trx/hbase-transactional-tableindexed
-
-
-
-
51
-
-
84874701254
-
IHbase
-
2012-10-02
-
IHbase. [EB/OL]. [2012-10-02]. http://github.com/ykulbak/ihbase
-
-
-
-
52
-
-
78149245479
-
CCIndex: A complemental clustering index on distributed ordered tables for multi-dimensional range queries
-
Berlin: Springer
-
Zou Yongqiang, Liu Jia, Wang Shicai, et al. CCIndex: A complemental clustering index on distributed ordered tables for multi-dimensional range queries [C]//Proc of NPC 2010. Berlin: Springer, 2010: 247-261
-
(2010)
Proc of NPC 2010
, pp. 247-261
-
-
Zou, Y.1
Liu, J.2
Wang, S.3
-
53
-
-
70849107603
-
Asynchronous view maintenance for VLSD databases
-
New York: ACM
-
Agrawal P, Silberstein A, Cooper B F, et al. Asynchronous view maintenance for VLSD databases [C]//Proc of SIGMOD 2009. New York: ACM, 2009: 179-192
-
(2009)
Proc of SIGMOD 2009
, pp. 179-192
-
-
Agrawal, P.1
Silberstein, A.2
Cooper, B.F.3
-
54
-
-
77954746347
-
Indexing multi-dimensional data in a cloud system
-
New York: ACM
-
Wang Jinbao, Wu Sai, Gao Hong, et al. Indexing multi-dimensional data in a cloud system [C]//Proc of SIGMOD 2010. New York: ACM, 2010: 591-602
-
(2010)
Proc of SIGMOD 2010
, pp. 591-602
-
-
Wang, J.1
Wu, S.2
Gao, H.3
-
55
-
-
80052728165
-
An efficient quad-tree based index structure for cloud data management
-
Berlin: Springer
-
Ding Linlin, Qiao Baiyou, Wang Guoren, et al. An efficient quad-tree based index structure for cloud data management [C]//Proc of WAIM 2011. Berlin: Springer, 2011: 238-250
-
(2011)
Proc of WAIM 2011
, pp. 238-250
-
-
Ding, L.1
Qiao, B.2
Wang, G.3
-
56
-
-
74049128689
-
An efficient multi-dimensional index for cloud data management
-
New York: ACM
-
Zhang Xiangyu, Ai Jing, Wang Zhongyuan, et al. An efficient multi-dimensional index for cloud data management [C]//Proc of CloudDB 2009. New York: ACM, 2009: 17-24
-
(2009)
Proc of CloudDB 2009
, pp. 17-24
-
-
Zhang, X.1
Ai, J.2
Wang, Z.3
-
57
-
-
84857170381
-
A-Tree: Distributed indexing of multidimensional data for cloud computing environments
-
Piscataway, NJ: IEEE
-
Papadopoulos A, Katsaros D. A-Tree: Distributed indexing of multidimensional data for cloud computing environments [C]//Proc of CloudCom 2011. Piscataway, NJ: IEEE, 2011: 407-414
-
(2011)
Proc of CloudCom 2011
, pp. 407-414
-
-
Papadopoulos, A.1
Katsaros, D.2
-
58
-
-
82055165170
-
MD-HBase: A scalable multi-dimensional data infrastructure for location aware services
-
Piscataway, NJ: IEEE
-
Nishimura S, Das S, Agrawal D, et al. MD-HBase: A scalable multi-dimensional data infrastructure for location aware services [C]//Proc of MDM 2011. Piscataway, NJ: IEEE, 2011: 7-16
-
(2011)
Proc of MDM 2011
, pp. 7-16
-
-
Nishimura, S.1
Das, S.2
Agrawal, D.3
-
59
-
-
84874717206
-
An efficient index for massive IOT data in cloud environment
-
New York: ACM
-
Ma Youzhong, Rao Jia, Hu Weisong, et al. An efficient index for massive IOT data in cloud environment [C]//Proc of CIKM 2012. New York: ACM, 2012
-
(2012)
Proc of CIKM 2012
-
-
Ma, Y.1
Rao, J.2
Hu, W.3
-
60
-
-
77954723629
-
Pregel: A system for large-scale graph processing
-
New York: ACM
-
Malewicz G, Austern M H, Bik A J C, et al. Pregel: A system for large-scale graph processing [C]//Proc of SIGMOD 2010. New York: ACM, 2010: 135-146
-
(2010)
Proc of SIGMOD 2010
, pp. 135-146
-
-
Malewicz, G.1
Austern, M.H.2
Bik, A.J.C.3
-
61
-
-
0025467711
-
Valiant: A bridging model for parallel computation
-
Leslie G. Valiant: A bridging model for parallel computation [J]. Communication of ACM, 1990, 33(8): 103-111
-
(1990)
Communication of ACM
, vol.33
, Issue.8
, pp. 103-111
-
-
Leslie, G.1
-
62
-
-
79958258284
-
Dremel: Interactive analysis of web-scale datasets
-
Melnik S, Gubarev A, Long Jingjing, et al. Dremel: Interactive analysis of web-scale datasets [J]. PVLDB, 2010, 3(1): 330-339
-
(2010)
PVLDB
, vol.3
, Issue.1
, pp. 330-339
-
-
Melnik, S.1
Gubarev, A.2
Long, J.3
-
63
-
-
84874753184
-
Google BigQuery
-
2012-10-02
-
Google BigQuery. [EB/OL]. [2012-10-02]. https://cloud.google.com/products/big-query.html
-
-
-
-
64
-
-
84873173544
-
Processing a trillion cells per mouse click
-
Hall A, Bachmann O, Büssow R, et al. Processing a trillion cells per mouse click [J]. PVLDB, 2012, 5(11): 1436-1446
-
(2012)
PVLDB
, vol.5
, Issue.11
, pp. 1436-1446
-
-
Hall, A.1
Bachmann, O.2
Büssow, R.3
-
65
-
-
34548041192
-
Dryad: Distributed data-parallel programs from sequential building blocks
-
New York: ACM
-
Isard M, Budiu M, Yu Yuan, et al. Dryad: Distributed data-parallel programs from sequential building blocks [C]//Proc of EuroSys 2007. New York: ACM, 2007: 59-72
-
(2007)
Proc of EuroSys 2007
, pp. 59-72
-
-
Isard, M.1
Budiu, M.2
Yu, Y.3
-
66
-
-
84874720916
-
Cascading
-
2012-10-02
-
Cascading. [EB/OL]. [2012-10-02]. http://www.cascading.org/
-
-
-
-
67
-
-
67650302322
-
Sector and sphere: The design and implementation of a high-performance data cloud
-
Gu Y, Grossman R L. Sector and sphere: The design and implementation of a high-performance data cloud [J]. Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences, 2009, 367(1897): 2429-2445
-
(2009)
Philosophical Transactions of the Royal Society A: Physical, Mathematical and Engineering Sciences
, vol.367
, Issue.1897
, pp. 2429-2445
-
-
Gu, Y.1
Grossman, R.L.2
-
68
-
-
77954948422
-
Nephele/PACTs: A programming model and execution framework for web-scale analytical processing
-
New York: ACM
-
Battré D, Ewen S, Hueske F, et al. Nephele/PACTs: A programming model and execution framework for web-scale analytical processing [C]//Proc of SoCC 2010. New York: ACM, 2010: 119-130
-
(2010)
Proc of SoCC 2010
, pp. 119-130
-
-
Battré, D.1
Ewen, S.2
Hueske, F.3
-
69
-
-
85076910718
-
Nectar: Automatic management of data and computation in datacenters
-
Berkeley, CA: USENIX Association
-
Gunda P K, Ravindranath L, Thekkath C A, et al. Nectar: Automatic management of data and computation in datacenters [C]//Proc of OSDI 2010. Berkeley, CA: USENIX Association, 2010: 75-88
-
(2010)
Proc of OSDI 2010
, pp. 75-88
-
-
Gunda, P.K.1
Ravindranath, L.2
Thekkath, C.A.3
-
70
-
-
79958103442
-
DryadInc: Reusing work in large-scale computations
-
Berkeley, CA: USENIX Association
-
Popa L, Budiu M, et al. DryadInc: Reusing work in large-scale computations [C]//Proc of HotCloud 2009. Berkeley, CA: USENIX Association, 2009
-
(2009)
Proc of HotCloud 2009
-
-
Popa, L.1
Budiu, M.2
-
72
-
-
84866771648
-
IncMR: Incremental data processing based on MapReduce
-
Piscataway, NJ: IEEE
-
Yan Cairong, Yang Xin, Yu Ze, et al. IncMR: Incremental data processing based on MapReduce [C]//Proc of Cloud 2012. Piscataway, NJ: IEEE, 2012: 534-541
-
(2012)
Proc of Cloud 2012
, pp. 534-541
-
-
Yan, C.1
Yang, X.2
Yu, Z.3
-
73
-
-
79959962180
-
Nova: Continuous Pig/Hadoop workflows
-
New York: ACM
-
Olston C, Chiou G, Chitnis L, et al. Nova: Continuous Pig/Hadoop workflows [C]//SIGMOD 2011. New York: ACM, 2011: 1081-1090
-
(2011)
SIGMOD 2011
, pp. 1081-1090
-
-
Olston, C.1
Chiou, G.2
Chitnis, L.3
-
74
-
-
85076771850
-
MapReduce online
-
Berkeley, CA: USENIX Association
-
Condie T, Conway N, Alvaro P, et al. MapReduce Online [C]//Proc of NSDI 2010. Berkeley, CA: USENIX Association, 2010: 313-328
-
(2010)
Proc of NSDI 2010
, pp. 313-328
-
-
Condie, T.1
Conway, N.2
Alvaro, P.3
-
75
-
-
84874740397
-
You can stop early with COLA: Online processing of aggregate queries in the cloud
-
New York: ACM
-
Shi Yingjie, Meng Xiaofeng, Wang Fusheng, et al. You can stop early with COLA: Online processing of aggregate queries in the cloud [C]//Proc of CIKM 2012. New York: ACM, 2012
-
(2012)
Proc of CIKM 2012
-
-
Shi, Y.1
Meng, X.2
Wang, F.3
-
76
-
-
85077087194
-
In-situ mapreduce for log processing
-
Berkeley, CA: USENIX Association
-
Logothetis D, Trezzo C, Webb K, et al. In-situ mapreduce for log processing [C]//Proc of USENIX ATC 2011. Berkeley, CA: USENIX Association, 2011
-
(2011)
Proc of USENIX ATC 2011
-
-
Logothetis, D.1
Trezzo, C.2
Webb, K.3
-
77
-
-
84866773457
-
Continuous mapreduce: An architecture for large-scale in-situ data processing
-
USA: University of California, San Diego
-
Trezzo C J. Continuous mapreduce: An architecture for large-scale in-situ data processing [D]. USA: University of California, San Diego, 2010. http://christrezzo.com/ctrezzo-thesis.pdf
-
(2010)
-
-
Trezzo, C.J.1
-
78
-
-
79956351190
-
HaLoop: Efficient iterative data processing on large clusters
-
Bu Yingyi, Howe B, Balazinska M, et al. HaLoop: Efficient iterative data processing on large clusters [J]. PVLDB, 2010, 3(1): 285-296
-
(2010)
PVLDB
, vol.3
, Issue.1
, pp. 285-296
-
-
Bu, Y.1
Howe, B.2
Balazinska, M.3
-
79
-
-
78650003594
-
Twister: A runtime for iterative MapReduce
-
New York: ACM
-
Ekanayake J, Li Hui, Zhang Bingjing, et al. Twister: A runtime for iterative MapReduce [C]//Proc of HPDC 2010. New York: ACM, 2010: 810-818
-
(2010)
Proc of HPDC 2010
, pp. 810-818
-
-
Ekanayake, J.1
Li, H.2
Zhang, B.3
-
80
-
-
83455229790
-
iMapReduce: A distributed computing framework for iterative computation
-
Piscataway, NJ: IEEE
-
Zhang Y, Gao Q, Gao L, et al. iMapReduce: A distributed computing framework for iterative computation [C]//Proc of IPDPS 2011 DataCloud Workshop. Piscataway, NJ: IEEE, 2011: 1112-1121
-
(2011)
Proc of IPDPS 2011 DataCloud Workshop
, pp. 1112-1121
-
-
Zhang, Y.1
Gao, Q.2
Gao, L.3
-
81
-
-
84857174691
-
iHadoop: Asynchronous iterations for mapreduce
-
Piscataway, NJ: IEEE
-
Elnikety E, Elsayed E, Ramadan H E. iHadoop: Asynchronous iterations for mapreduce [C]//Proc of CloudCom 2011. Piscataway, NJ: IEEE, 2011: 81-90
-
(2011)
Proc of CloudCom 2011
, pp. 81-90
-
-
Elnikety, E.1
Elsayed, E.2
Ramadan, H.E.3
-
82
-
-
82155168650
-
PrIter: A distributed framework for prioritized iterative computation
-
New York: ACM
-
Zhang Yanfeng, Gao Qixin, Gao Lixin, et al. PrIter: A distributed framework for prioritized iterative computations [C]//Proc of SoCC 2011. New York: ACM, 2011: 1-14
-
(2011)
Proc of SoCC 2011
, pp. 1-14
-
-
Zhang, Y.1
Gao, Q.2
Gao, L.3
-
83
-
-
85085251984
-
Spark: Cluster computing with working sets
-
Berkeley, CA: USENIX Association
-
Zaharia M, Chowdhury M, Franklin M, et al. Spark: Cluster computing with working sets [C]//Proc of HotCloud 2010. Berkeley, CA: USENIX Association, 2010
-
(2010)
Proc of HotCloud 2010
-
-
Zaharia, M.1
Chowdhury, M.2
Franklin, M.3
-
84
-
-
79960018131
-
Apache hadoop goes realtime at Facebook
-
New York: ACM
-
Borthakur D, Gray J, Sarma J S, et al. Apache hadoop goes realtime at Facebook [C]//Proc of SIGMOD 2011. New York: ACM, 2011: 1071-1080
-
(2011)
Proc of SIGMOD 2011
, pp. 1071-1080
-
-
Borthakur, D.1
Gray, J.2
Sarma, J.S.3
-
85
-
-
83455229796
-
Towards scalable one-pass analytics using MapReduce
-
Piscataway, NJ: IEEE
-
Mazur E, Li Boduo, Diao Yanlei, et al. Towards scalable one-pass analytics using MapReduce [C]//Proc of IPDPS Workshops 2011. Piscataway, NJ: IEEE, 2011: 1102-1111
-
(2011)
Proc of IPDPS Workshops 2011
, pp. 1102-1111
-
-
Mazur, E.1
Li, B.2
Diao, Y.3
-
86
-
-
79959939881
-
A platform for scalable one-pass analytics using MapReduce
-
New York: ACM
-
Li Boduo, Mazur E, Diao Yanlei, et al. A platform for scalable one-pass analytics using MapReduce [C]//Proc of SIGMOD 2011. New York: ACM, 2011: 985-996
-
(2011)
Proc of SIGMOD 2011
, pp. 985-996
-
-
Li, B.1
Mazur, E.2
Diao, Y.3
-
87
-
-
77952270709
-
DEDUCE: At the intersection of MapReduce and stream processing
-
New York: ACM
-
Kumar V, Andrade H, Gedik B, et al. DEDUCE: At the intersection of MapReduce and stream processing [C]//Proc of EDBT 2010. New York: ACM, 2010: 657-662
-
(2010)
Proc of EDBT 2010
, pp. 657-662
-
-
Kumar, V.1
Andrade, H.2
Gedik, B.3
-
89
-
-
84864197919
-
M3: Stream processing on main-memory MapReduce
-
Piscataway, NJ: IEEE
-
Aly A M, SallamA, Gnanasekaran B M, et al. M3: Stream processing on main-memory MapReduce [C]//Proc of ICDE 2012. Piscataway, NJ: IEEE, 2012: 1253-1256
-
(2012)
Proc of ICDE 2012
, pp. 1253-1256
-
-
Aly, A.M.1
Sallam, A.2
Gnanasekaran, B.M.3
-
90
-
-
84857167165
-
Scalable and low-latency data processing with stream MapReduce
-
Piscataway, NJ: IEEE
-
Brito A, Martin A, Knauth T, et al. Scalable and low-latency data processing with stream MapReduce [C]//Proc of CloudCom 2011. Piscataway, NJ: IEEE, 2011: 48-58
-
(2011)
Proc of CloudCom 2011
, pp. 48-58
-
-
Brito, A.1
Martin, A.2
Knauth, T.3
-
91
-
-
84872409772
-
Muppet: MapReduce-style processing of fast data
-
Wang Lam, Liu Lu, Prasad S, et al. Muppet: MapReduce-style processing of fast data [J]. PVLDB, 2012, 5(12): 1814-1825
-
(2012)
PVLDB
, vol.5
, Issue.12
, pp. 1814-1825
-
-
Wang, L.1
Liu, L.2
Prasad, S.3
-
92
-
-
79952397765
-
SSS: An implementation of key-value store based MapReduce framework
-
Piscataway, NJ: IEEE
-
Ogawa H, Nakada H, Takano R, et al. SSS: An implementation of key-value store based MapReduce framework [C]//Proc of CloudCom 2010. Piscataway, NJ: IEEE, 2010: 754-761
-
(2010)
Proc of CloudCom 2010
, pp. 754-761
-
-
Ogawa, H.1
Nakada, H.2
Takano, R.3
-
93
-
-
84962598306
-
Discretized streams: An efficient and fault-tolerant model for stream processing on large clusters
-
Berkeley, CA: USENIX Association
-
Zaharia M, Das T, Li H, et al. Discretized streams: An efficient and fault-tolerant model for stream processing on large clusters [C]//Proc of HotCloud 2012. Berkeley, CA: USENIX Association, 2012
-
(2012)
Proc of HotCloud 2012
-
-
Zaharia, M.1
Das, T.2
Li, H.3
-
94
-
-
72049096376
-
HPMR: Prefetching and pre-shuffling in shared MapReduce computation environment
-
Piscataway, NJ: IEEE
-
Seo S, Jang I, Woo K, et al. HPMR: Prefetching and pre-shuffling in shared MapReduce computation environment [C]//Proc of CLUSTER 2009. Piscataway, NJ: IEEE, 2009: 1-8
-
(2009)
Proc of CLUSTER 2009
, pp. 1-8
-
-
Seo, S.1
Jang, I.2
Woo, K.3
-
95
-
-
80053521271
-
Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing)
-
Dittrich J, Quiané-Ruiz J-A, Jindal A, et al. Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing) [J]. PVLDB, 2010, 3(1): 518-529
-
(2010)
PVLDB
, vol.3
, Issue.1
, pp. 518-529
-
-
Dittrich, J.1
Quiané-Ruiz, J.-A.2
Jindal, A.3
-
96
-
-
77954942463
-
Towards automatic optimization of MapReduce programs
-
New York: ACM
-
Babu S. Towards automatic optimization of MapReduce programs [C]//Proc of SoCC 2010. New York: ACM, 2010: 137-142
-
(2010)
Proc of SoCC 2010
, pp. 137-142
-
-
Babu, S.1
-
97
-
-
77952577122
-
The Hadoop distributed filesystem: Balancing portability and performance
-
Piscataway, NJ: IEEE
-
Shafer J, Rixner S, Cox A L. The Hadoop distributed filesystem: Balancing portability and performance [C]//Proc of ISPASS 2010. Piscataway, NJ: IEEE, 2010: 122-1
-
(2010)
Proc of ISPASS 2010
, pp. 122-1
-
-
Shafer, J.1
Rixner, S.2
Cox, A.L.3
-
98
-
-
84873205384
-
Efficient processing of k nearest neighbor joins using MapReduce
-
Lu Wei, Shen Yanyan, Chen Su, et al: Efficient processing of k nearest neighbor joins using MapReduce [J]. PVLDB, 2012, 5(10): 1016-1027
-
(2012)
PVLDB
, vol.5
, Issue.10
, pp. 1016-1027
-
-
Lu, W.1
Shen, Y.2
Chen, S.3
-
99
-
-
84873185478
-
Efficient multi-way theta-join processing using MapReduce
-
Zhang Xiaofei, Chen Lei, Wang Min. Efficient multi-way theta-join processing using MapReduce [J]. PVLDB, 2012, 5(11): 1184-1195
-
(2012)
PVLDB
, vol.5
, Issue.11
, pp. 1184-1195
-
-
Zhang, X.1
Chen, L.2
Wang, M.3
-
100
-
-
84863769684
-
Online aggregation for large MapReduce jobs
-
Pansare N, Borkar V R, Jermaine C, et al. Online aggregation for large MapReduce jobs [J]. PVLDB, 2011, 4(11): 1135-1145
-
(2011)
PVLDB
, vol.4
, Issue.11
, pp. 1135-1145
-
-
Pansare, N.1
Borkar, V.R.2
Jermaine, C.3
-
101
-
-
84862666441
-
Exploiting MapReduce-based similarity joins
-
New York: ACM
-
Silva Y N, Reed J M. Exploiting MapReduce-based similarity joins [C]//Proc of SIGMOD 2012. New York: ACM, 2012: 693-696
-
(2012)
Proc of SIGMOD 2012
, pp. 693-696
-
-
Silva, Y.N.1
Reed, J.M.2
-
102
-
-
79960020260
-
Processing theta-joins using MapReduce
-
New York: ACM
-
Okcan I, Riedewald M. Processing theta-joins using MapReduce [C]//Proc of SIGMOD 2011. New York: ACM, 2011: 949-960
-
(2011)
Proc of SIGMOD 2011
, pp. 949-960
-
-
Okcan, I.1
Riedewald, M.2
-
103
-
-
84864262965
-
Fuzzy joins using MapReduce
-
Piscataway, NJ: IEEE
-
Afrati F N, Das S A, Menestrina D, et al. Fuzzy joins using MapReduce [C]//Proc of ICDE 2012. Piscataway, NJ: IEEE, 2012: 498-509
-
(2012)
Proc of ICDE 2012
, pp. 498-509
-
-
Afrati, F.N.1
Das, S.A.2
Menestrina, D.3
-
104
-
-
84866636304
-
Distributed high-dimensional index creation using Hadoop, HDFS and C++
-
Piscataway, NJ: IEEE
-
Gudmundsson G b, Amsaleg L, Jónsson B b. Distributed high-dimensional index creation using Hadoop, HDFS and C++ [C]//Proc of CBMI 2012. Piscataway, NJ: IEEE, 2012: 1-6
-
(2012)
Proc of CBMI 2012
, pp. 1-6
-
-
Gudmundsson, G.B.1
Amsaleg, L.2
Jónsson, B.B.3
-
105
-
-
77958138729
-
Multi-dimensional index on Hadoop distributed file system
-
Piscataway, NJ: IEEE
-
Liao Haojun, Han Jizhong, Fang Jinyun. Multi-dimensional index on Hadoop distributed file system [C]//Proc of NAS. Piscataway, NJ: IEEE, 2010: 240-249
-
(2010)
Proc of NAS
, pp. 240-249
-
-
Liao, H.1
Han, J.2
Fang, J.3
-
106
-
-
77952775707
-
Hive - A petabyte scale data warehouse using Hadoop
-
Piscataway, NJ: IEEE
-
Thusoo A, Sarma J S, Jain N, et al. Hive-A petabyte scale data warehouse using Hadoop [C]//Proc of ICDE 2010. Piscataway, NJ: IEEE, 2010: 996-1005
-
(2010)
Proc of ICDE 2010
, pp. 996-1005
-
-
Thusoo, A.1
Sarma, J.S.2
Jain, N.3
-
107
-
-
77954734823
-
HadoopDB in action: Building real world applications
-
New York: ACM
-
Abouzied A, Bajda-Pawlikowski K, Huang Jiewen, et al. HadoopDB in action: Building real world applications [C]//Proc of SIGMOD 2010. New York: ACM, 2010: 1111-1114
-
(2010)
Proc of SIGMOD 2010
, pp. 1111-1114
-
-
Abouzied, A.1
Bajda-Pawlikowski, K.2
Huang, J.3
-
108
-
-
79957812355
-
Cheetah: A high performance, custom data warehouse on top of MapReduce
-
Chen Songting. Cheetah: A high performance, custom data warehouse on top of MapReduce [J]. PVLDB, 2010, 3(2): 1459-1468
-
(2010)
PVLDB
, vol.3
, Issue.2
, pp. 1459-1468
-
-
Chen, S.1
-
109
-
-
84862705604
-
Oracle in-database hadoop: When mapreduce meets RDBMS
-
New York: ACM
-
Su Xueyuan, Swart G. Oracle in-database hadoop: When mapreduce meets RDBMS [C]//Proc of SIGMOD 2012. New York: ACM, 2012: 779-790
-
(2012)
Proc of SIGMOD 2012
, pp. 779-790
-
-
Su, X.1
Swart, G.2
-
110
-
-
79959959335
-
Emerging trends in the enterprise data analytics: Connecting Hadoop and DB2 warehouse
-
New York: ACM
-
Özcan F, Hoa D, Beyer K S, et al. Emerging trends in the enterprise data analytics: Connecting Hadoop and DB2 warehouse [C]//Proc of SIGMOD 2011. New York: ACM, 2011: 1161-1164
-
(2011)
Proc of SIGMOD 2011
, pp. 1161-1164
-
-
Özcan, F.1
Hoa, D.2
Beyer, K.S.3
-
111
-
-
77954696367
-
Integrating hadoop and parallel DBMs
-
New York: ACM
-
Xu Yu, Kostamaa P, Gao Like. Integrating hadoop and parallel DBMs [C]//Proc of SIGMOD 2010. New York: ACM, 2010: 969-974
-
(2010)
Proc of SIGMOD 2010
, pp. 969-974
-
-
Xu, Y.1
Kostamaa, P.2
Gao, L.3
-
112
-
-
84875106113
-
Parallel implementation of ant-based clustering algorithm based on Hadoop
-
Berlin: Springer
-
Yang Yan, Ni Xianhua, Wang Hongjun, et al. Parallel implementation of ant-based clustering algorithm based on Hadoop [C]//Proc of ICSI 2012. Berlin: Springer, 2012: 190-197
-
(2012)
Proc of ICSI 2012
, pp. 190-197
-
-
Yang, Y.1
Ni, X.2
Wang, H.3
-
113
-
-
84863028097
-
DH-TRIE frequent pattern mining on Hadoop using JPA
-
Piscataway, NJ: IEEE
-
Yang Lai, Shi Zhongzhi, Xu L D, et al. DH-TRIE frequent pattern mining on Hadoop using JPA [C]//Proc of GrC 2011. Piscataway, NJ: IEEE, 2011: 875-878
-
(2011)
Proc of GrC 2011
, pp. 875-878
-
-
Yang, L.1
Shi, Z.2
Xu, L.D.3
-
114
-
-
79958732591
-
Clustering with Apache Hadoop
-
New York: ACM
-
Nair S, Mehta J. Clustering with Apache Hadoop [C]//Proc of ICWET 2011. New York: ACM, 2011: 505-509
-
(2011)
Proc of ICWET 2011
, pp. 505-509
-
-
Nair, S.1
Mehta, J.2
-
115
-
-
78249280628
-
An efficient data mining framework on Hadoop using Java persistence API
-
Piscataway, NJ: IEEE
-
Yang Lai, Shi Zhongzhi. An efficient data mining framework on Hadoop using Java persistence API [C]//Proc of CIT 2010. Piscataway, NJ: IEEE, 2010: 203-209
-
(2010)
Proc of CIT 2010
, pp. 203-209
-
-
Yang, L.1
Shi, Z.2
-
116
-
-
84874754008
-
Development of a distributed recommender system using the Hadoop framework
-
Chiky R, Ghisloti R, Kazi-Aoul Z. Development of a distributed recommender system using the Hadoop framework [C]//Proc of EGC. 2012: 495-500
-
(2012)
Proc of EGC
, pp. 495-500
-
-
Chiky, R.1
Ghisloti, R.2
Kazi-Aoul, Z.3
-
117
-
-
80053404328
-
Scaling-up item-based collaborative filtering recommendation algorithm based on Hadoop
-
Piscataway, NJ: IEEE
-
Jiang Jing, Lu Jie, Zhang Guangquan, et al. Scaling-up item-based collaborative filtering recommendation algorithm based on Hadoop [C]//Proc of SERVICES 2011. Piscataway, NJ: IEEE, 2011: 490-497
-
(2011)
Proc of SERVICES 2011
, pp. 490-497
-
-
Jiang, J.1
Lu, J.2
Zhang, G.3
-
118
-
-
80052580755
-
Content-based recommendation algorithms on the Hadoop MapReduce framework
-
New York: ACM
-
De Pessemier T, Vanhecke K, Dooms S, et al. Content-based recommendation algorithms on the Hadoop MapReduce framework [C]//Proc of WEBIST 2011. New York: ACM, 2011: 237-240
-
(2011)
Proc of WEBIST 2011
, pp. 237-240
-
-
de Pessemier, T.1
Vanhecke, K.2
Dooms, S.3
-
119
-
-
84866022995
-
Bid optimizing and inventory scoring in targeted online advertising
-
New York: ACM
-
Perlich C, Dalessandro B, Hook R, et al. Bid optimizing and inventory scoring in targeted online advertising [C]//Proc of KDD 2012. New York: ACM, 2012: 804-812
-
(2012)
Proc of KDD 2012
, pp. 804-812
-
-
Perlich, C.1
Dalessandro, B.2
Hook, R.3
-
120
-
-
0041783510
-
Privacy preserving data mining
-
New York: ACM
-
Agrawal R, Srikant R. Privacy preserving data mining [C]//Proc of SIGMOD 2000. New York: ACM, 2000: 439-450
-
(2000)
Proc of SIGMOD 2000
, pp. 439-450
-
-
Agrawal, R.1
Srikant, R.2
-
121
-
-
33746335051
-
Differential privacy
-
Berlin: Springer
-
Dwork C. Differential privacy [C]//Proc of ICALP 2006. Berlin: Springer, 2006: 1-12
-
(2006)
Proc of ICALP 2006
, pp. 1-12
-
-
Dwork, C.1
-
122
-
-
80053488797
-
Energy efficiency is not enough, energy proportionality is needed!
-
Berlin: Springer
-
Härder T, Hudlet V, Ou Y, et al. Energy efficiency is not enough, energy proportionality is needed! [C]//Proc of DASFAA 2011. Berlin: Springer, 2011: 226-239
-
(2011)
Proc of DASFAA 2011
, pp. 226-239
-
-
Härder, T.1
Hudlet, V.2
Ou, Y.3
-
123
-
-
84874546725
-
Power, pollution and the internet
-
2012-10-02
-
Times N Y. Power, Pollution and the Internet [EB/OL]. [2012-10-02]. http://www.nytimes.com/2012/09/23/technology/data-centers-waste- vast-amounts-of-energy-belying-industry-image.html?pagewanted=all
-
-
-
Times, N.Y.1
-
124
-
-
85084015462
-
Green databases through integration of renewable energy
-
2012-10-02
-
Chen Cheng, He Bingsheng, Tang Xueyan, et al. Green databases through integration of renewable energy [C/OL].//Proc of CIDR 2013. [2012-10-02]. http://www.cidrdb.org/2013
-
(2013)
Proc of CIDR
-
-
Chen, C.1
He, B.2
Tang, X.3
-
125
-
-
35448992171
-
Design of flash-based DBMS: An in-page logging approach
-
New York: ACM
-
Lee S-W, Moon B. Design of flash-based DBMS: An in-page logging approach [C]//Proc of SIGMOD 2007. New York: ACM, 2007: 55-66
-
(2007)
Proc of SIGMOD 2007
, pp. 55-66
-
-
Lee, S.-W.1
Moon, B.2
-
126
-
-
85077053697
-
Extending SSD lifetimes with disk-based write caches
-
Berkeley, CA: USENIX Association
-
Soundararajan G, Prabhakaran V, Balakrishnan M, et al. Extending SSD lifetimes with disk-based write caches [C]//Proc of FAST 2010, Berkeley, CA: USENIX Association, 2010
-
(2010)
Proc of FAST 2010
-
-
Soundararajan, G.1
Prabhakaran, V.2
Balakrishnan, M.3
-
127
-
-
84874754907
-
Hybrid storage with disk based write cache
-
Berlin: Springer
-
Yang Puyuan, Jin Peiquan, Yue Lihua. Hybrid storage with disk based write cache [C]//Proc of FlashDB 2011. Berlin: Springer, 2011: 190-201
-
(2011)
Proc of FlashDB 2011
, pp. 190-201
-
-
Yang, P.1
Jin, P.2
Yue, L.3
-
128
-
-
70449694274
-
Flashing up the storage layer
-
Koltsidas I, Viglas S D. Flashing up the storage layer [J]. PVLDB, 2008, 1(1): 514-525
-
(2008)
PVLDB
, vol.1
, Issue.1
, pp. 514-525
-
-
Koltsidas, I.1
Viglas, S.D.2
-
129
-
-
79955891474
-
I-CASH: Intelligently coupled array of SSD and HDD
-
Piscataway, NJ: IEEE
-
Yang Qing, Ren Jin. I-CASH: Intelligently coupled array of SSD and HDD [C]//Proc of HPCA 2011. Piscataway, NJ: IEEE, 2011: 278-289
-
(2011)
Proc of HPCA 2011
, pp. 278-289
-
-
Yang, Q.1
Ren, J.2
-
130
-
-
79959590856
-
Hystor: Making the best use of solid state drives in high performance storage systems
-
New York: ACM
-
Chen Feng, Koufaty D A, Zhang Xiaodong. Hystor: Making the best use of solid state drives in high performance storage systems [C]//Proc of ICS 2011. New York: ACM, 2011: 22-32
-
(2011)
Proc of ICS 2011
, pp. 22-32
-
-
Chen, F.1
Koufaty, D.A.2
Zhang, X.3
-
131
-
-
80051886445
-
Combo drive: Optimizing cost and performance in a heterogeneous storage device
-
New York: ACM
-
Payer H, Sanvido M A, Bandic Z Z, et al. Combo drive: Optimizing cost and performance in a heterogeneous storage device [C]//Proc of WISH 2009. New York: ACM, 2009
-
(2009)
Proc of WISH 2009
-
-
Payer, H.1
Sanvido, M.A.2
Bandic, Z.Z.3
-
132
-
-
84863769347
-
Towards cost-effective storage provisioning for DBMSs
-
Zhang Ning, Tatemura Junichi, Patel J M, et al. Towards cost-effective storage provisioning for DBMSs [J]. PVLDB, 2011, 5(4): 274-285
-
(2011)
PVLDB
, vol.5
, Issue.4
, pp. 274-285
-
-
Zhang, N.1
Junichi, T.2
Patel, J.M.3
-
133
-
-
79959940559
-
SSD bufferpool extensions for database systems
-
Canim M, Mihaila G A, Bhattacharjee B, et al. SSD bufferpool extensions for database systems [J].PVLDB, 2010, 3(1/2): 1435-1446
-
(2010)
PVLDB
, vol.3
, Issue.1-3
, pp. 1435-1446
-
-
Canim, M.1
Mihaila, G.A.2
Bhattacharjee, B.3
-
134
-
-
79959978267
-
Turbocharging DBMS buffer pool using SSDs
-
New York: ACM
-
Do Jaeyoung, Zhang Donghui, Patel Jignesh M, et al. Turbocharging DBMS buffer pool using SSDs [C]//Proc of SIGMOD 2011. New York: ACM, 1113-1124
-
(2011)
Proc of SIGMOD
, pp. 1113-1124
-
-
Do, J.1
Zhang, D.2
Patel, J.M.3
-
135
-
-
84974575965
-
Improving database performance using a flash-based write cache
-
Berlin: Springer
-
Ou Y, Härder T. Improving database performance using a flash-based write cache [C]//Proc of Proc of FlashDB 2011. Berlin: Springer, 2012: 2-13
-
(2012)
Proc of Proc of FlashDB 2011
, pp. 2-13
-
-
Ou, Y.1
Härder, T.2
-
136
-
-
84873192273
-
hStorage-DB: Heterogeneity-aware data management to exploit the full capability of hybrid storage systems
-
Luo T, Lee R, Mesnier M, et al. hStorage-DB: Heterogeneity-aware data management to exploit the full capability of hybrid storage systems [J]. PVLDB, 2012, 5(10): 1076-1087
-
(2012)
PVLDB
, vol.5
, Issue.10
, pp. 1076-1087
-
-
Luo, T.1
Lee, R.2
Mesnier, M.3
-
137
-
-
84873163834
-
Flash-based extended cache for higher throughput and faster recovery
-
Kang W-H, Lee S-W, Moon B. Flash-based extended cache for higher throughput and faster recovery [J]. PVLDB, 2012, 5(11): 1615-1626
-
(2012)
PVLDB
, vol.5
, Issue.11
, pp. 1615-1626
-
-
Kang, W.-H.1
Lee, S.-W.2
Moon, B.3
-
139
-
-
77954942463
-
Towards automatic optimization of MapReduce programs
-
New York: ACM
-
Babu S. Towards automatic optimization of MapReduce programs [C]//Proc of SoCC 2010. New York: ACM, 2010: 137-142
-
(2010)
Proc of SoCC 2010
, pp. 137-142
-
-
Babu, S.1
-
140
-
-
84863535860
-
Automatic optimization for MapReduce programs
-
Jahani E, Cafarella M J, Ré C. Automatic optimization for MapReduce programs [J]. PVLDB, 2011, 4(6): 385-396
-
(2011)
PVLDB
, vol.4
, Issue.6
, pp. 385-396
-
-
Jahani, E.1
Cafarella, M.J.2
Ré, C.3
-
141
-
-
79961048828
-
Manimal: Relational optimization for data-intensive programs
-
New York: ACM
-
Cafarella M J, Ré C. Manimal: Relational optimization for data-intensive programs [C]//Proc of WebDB 2010. New York: ACM, 2010
-
(2010)
Proc of WebDB 2010
-
-
Cafarella, M.J.1
Ré, C.2
-
142
-
-
80053500227
-
Starfish: A self-tuning system for big data analytics
-
Herodotou H, Lim H, Luo G, et al. Starfish: A self-tuning system for big data analytics [C]//Proc of CIDR. 2011: 261-272
-
(2011)
Proc of CIDR
, pp. 261-272
-
-
Herodotou, H.1
Lim, H.2
Luo, G.3
-
143
-
-
84865212981
-
The top 10 challenges in extreme-scale visual analytics
-
Wong P C, Shen H-W, Johnson C R, et al. The top 10 challenges in extreme-scale visual analytics [J]. Computer Graphics and Applications, 2012, 32(4): 63-67
-
(2012)
Computer Graphics and Applications
, vol.32
, Issue.4
, pp. 63-67
-
-
Wong, P.C.1
Shen, H.-W.2
Johnson, C.R.3
-
144
-
-
55349148888
-
Pig Latin: A not-so-foreign language for data processing
-
New York: ACM
-
Olston C, Reed B, Srivastava U, et al. Pig Latin: A not-so-foreign language for data processing [C]//Proc of SIGMOD 2008. New York: ACM, 2008: 1099-1110
-
(2008)
Proc of SIGMOD 2008
, pp. 1099-1110
-
-
Olston, C.1
Reed, B.2
Srivastava, U.3
-
145
-
-
30344452311
-
Interpreting the data: Parallel analysis with Sawzall
-
Pike R, Dorward S, Griesemer R, et al. Interpreting the data: Parallel analysis with Sawzall [J]. Scientific Programming, 2005, 13(4): 277-298
-
(2005)
Scientific Programming
, vol.13
, Issue.4
, pp. 277-298
-
-
Pike, R.1
Dorward, S.2
Griesemer, R.3
-
146
-
-
70849091519
-
Distributed data-parallel computing using a high-level programming language
-
New York: ACM
-
Isard M, Yu Y. Distributed data-parallel computing using a high-level programming language [C]//Proc of SIGMOD 2009. New York: ACM, 2009: 987-994
-
(2009)
Proc of SIGMOD 2009
, pp. 987-994
-
-
Isard, M.1
Yu, Y.2
-
148
-
-
77954585266
-
HadoopToSQL: A MapReduce query optimizer
-
New York: ACM
-
Iu M-Y, Zwaenepoel W. HadoopToSQL: A MapReduce query optimizer [C]//Proc of EuroSys 2010. New York: ACM, 2010: 251-264
-
(2010)
Proc of EuroSys 2010
, pp. 251-264
-
-
Iu, M.-Y.1
Zwaenepoel, W.2
-
149
-
-
84863507276
-
An optimization framework for map-reduce queries
-
New York: ACM
-
Fegaras L, Li C, Gupta U. An optimization framework for map-reduce queries [C]//Proc of EDBT 2012. New York: ACM, 2012: 26-37
-
(2012)
Proc of EDBT 2012
, pp. 26-37
-
-
Fegaras, L.1
Li, C.2
Gupta, U.3
-
150
-
-
77954920597
-
Comet: Batched stream processing for data intensive distributed computing
-
New York: ACM
-
He Bingsheng, Yang Mao, Guo Zhenyu, et al. Comet: Batched stream processing for data intensive distributed computing [C]//Proc of SoCC 2010. New York: ACM, 2010: 63-74
-
(2010)
Proc of SoCC 2010
, pp. 63-74
-
-
He, B.1
Yang, M.2
Guo, Z.3
-
151
-
-
80051874596
-
YSmart: Yet another SQL-to-MapReduce translator
-
Piscataway, NJ: IEEE
-
Lee R, Luo Tian, Huai Yin, et al. YSmart: Yet another SQL-to-MapReduce translator. [C]//Proc of ICDCS 2011. Piscataway, NJ: IEEE, 2011: 25-36
-
(2011)
Proc of ICDCS 2011
, pp. 25-36
-
-
Lee, R.1
Luo, T.2
Huai, Y.3
-
152
-
-
84862684677
-
Tenzing a SQL implementation on the MapReduce framework
-
Chattopadhyay B, Lin Liang, Liu Weiran, et al. Tenzing a SQL implementation on the MapReduce framework [J]. PVLDB, 2011, 4(12): 1318-1327
-
(2011)
PVLDB
, vol.4
, Issue.12
, pp. 1318-1327
-
-
Chattopadhyay, B.1
Lin, L.2
Liu, W.3
-
153
-
-
84874673967
-
S4Latin: Language-based big data streaming
-
UK: University of Edinburgh, 2012-10-02
-
Stoellberger P. S4Latin: Language-based big data streaming [D/OL]. UK: University of Edinburgh, 2011. [2012-10-02]. http://analytical-labs.com/downloads/msc_BigDataStreams.pdf
-
(2011)
-
-
Stoellberger, P.1
-
154
-
-
77954732118
-
ParaTimer: A progress indicator for MapReduce DAGs
-
New York: ACM
-
Morton K, Balazinska M, Grossman D. ParaTimer: A progress indicator for MapReduce DAGs [C]//Proc of SIGMOD 2010. New York: ACM, 2010: 507-518
-
(2010)
Proc of SIGMOD 2010
, pp. 507-518
-
-
Morton, K.1
Balazinska, M.2
Grossman, D.3
-
155
-
-
77952748724
-
KAMD: Estimating the progress of MapReduce pipelines
-
Piscataway, NJ: IEEE
-
Morton K, Friesen A, Balazinska M, et al. KAMD: Estimating the progress of MapReduce pipelines [C]//Proc of ICDE 2010. Piscataway, NJ: IEEE, 2010: 681-684
-
(2010)
Proc of ICDE 2010
, pp. 681-684
-
-
Morton, K.1
Friesen, A.2
Balazinska, M.3
-
156
-
-
78650028829
-
MR-scope: A real-time tracing tool for MapReduce
-
New York: ACM
-
Huang Dachuan, Shi Xuanhua, Ibrahim Shadi, et al. MR-scope: A real-time tracing tool for MapReduce [C]//Proc of HPDC 2010. New York: ACM, 2010: 849-855
-
(2010)
Proc of HPDC 2010
, pp. 849-855
-
-
Huang, D.1
Shi, X.2
Shadi, I.3
-
157
-
-
77955941295
-
Visual, log-based causal tracing for performance debugging of MapReduce systems
-
Piscataway, NJ: IEEE
-
Tan Jiaqi, Kavulya S, Gandhi R, et al. Visual, log-based causal tracing for performance debugging of MapReduce systems [C]//Proc of ICDCS 2010. Piscataway, NJ: IEEE, 2010: 795-806
-
(2010)
Proc of ICDCS 2010
, pp. 795-806
-
-
Tan, J.1
Kavulya, S.2
Gandhi, R.3
-
158
-
-
84863739408
-
PerfXplain: Debugging MapReduce job performance
-
Khoussainova N, Balazinska M, Suciu D. PerfXplain: Debugging MapReduce job performance [J]. PVLDB, 2012, 5(7): 598-609
-
(2012)
PVLDB
, vol.5
, Issue.7
, pp. 598-609
-
-
Khoussainova, N.1
Balazinska, M.2
Suciu, D.3
-
159
-
-
85077087102
-
HiTune: Dataflow-based performance analysis for big data cloud
-
Berkeley, CA: USENIX Association
-
Dai Jinquan, Huang Jie, Huang Shengsheng, et al. HiTune: Dataflow-based performance analysis for big data cloud [C]//Proc of USENIX ATC 2011. Berkeley, CA: USENIX Association, 2011
-
(2011)
Proc of USENIX ATC 2011
-
-
Dai, J.1
Huang, J.2
Huang, S.3
-
160
-
-
84883167861
-
Introducting the big data benchmarking community
-
2012-10-02
-
Baru C, Bhandarkar M, Nambiar R, et al. Introducting the big data benchmarking community [EB/OL]//Proc of XLDB 2012. [2012-10-02]. http://www-conf.slac.stanford.edu/xldb2012/talks/xldb2012_tue_ LT07_Baru_etal.pdf
-
(2012)
Proc of XLDB
-
-
Baru, C.1
Bhandarkar, M.2
Nambiar, R.3
-
161
-
-
84874738808
-
We don't know enough to make a big data benchmark suite - An academia-industry view
-
Berkeley: EECS Department, University of California
-
Chen Y. We don't know enough to make a big data benchmark suite-An academia-industry view [R/OL]. Berkeley: EECS Department, University of California, http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-71.pdf
-
-
-
Chen, Y.1
-
162
-
-
80053019024
-
The case for evaluating MapReduce performance using workload suites
-
Piscataway, NJ: IEEE
-
Chen Yanpei, Ganapathi A, Griffith R, et al. The case for evaluating MapReduce performance using workload suites [C]//Proc of MASCOTS 2011. Piscataway, NJ: IEEE, 2011: 390-399
-
(2011)
Proc of MASCOTS 2011
, pp. 390-399
-
-
Chen, Y.1
Ganapathi, A.2
Griffith, R.3
-
163
-
-
84874336016
-
MRBS: A comprehensive MapReduce benchmark suite
-
LIG Laboratory, University of Grenoble. 2012-10-02
-
Sangroya A, Serrano D, Bouchenak S. MRBS: A comprehensive MapReduce benchmark suite [R/OL]. LIG Laboratory, University of Grenoble. [2012-10-02]. http://rr.liglab.fr/research_report/RR-LIG-024_orig.pdf
-
-
-
Sangroya, A.1
Serrano, D.2
Bouchenak, S.3
-
164
-
-
84874740976
-
GridMix
-
2012-10-02
-
GridMix. [EB/OL]. [2012-10-02]. http://hadoop.apache.org/docs/mapreduce/current/gridmix.html
-
-
-
-
165
-
-
84874697832
-
TPC-DS
-
2012-10-02
-
TPC-DS. [EB/OL]. [2012-10-02]. http://www.tpc.org/tpcds/
-
-
-
-
166
-
-
84883286603
-
YCSB++: Benchmarking and performance debugging advanced features in scalable table stores
-
New York: ACM
-
Patil S, Polte M, Ren K, et al. YCSB++: Benchmarking and performance debugging advanced features in scalable table stores [C]//Proc of SoCC 2011. New York: ACM, 2011
-
(2011)
Proc of SoCC 2011
-
-
Patil, S.1
Polte, M.2
Ren, K.3
-
167
-
-
84873134968
-
Interactive query processing in big data systems: A cross-industry study of MapReduce workloads
-
Chen Y, Alspaugh S, Katz R. Interactive query processing in big data systems: A cross-industry study of MapReduce workloads [J]. PVLDB, 2012, 5(12): 1802-1813
-
(2012)
PVLDB
, vol.5
, Issue.12
, pp. 1802-1813
-
-
Chen, Y.1
Alspaugh, S.2
Katz, R.3
|