[1] |
Slagter K, Hsu C H, Chung Y C, et al. SmartJoin: A network-aware multiway join for MapReduce[J]. Cluster Computing, 2014, 17(3): 629-641.
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[2] |
Jiang D W, Tung A K H, Chen G. MAP-JOIN-REDUCE: toward scalable and efficient data analysis on large clusters[J]. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(9): 1299-1311.
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[3] |
Afrati F N, Ullman J D. Optimizing multiway joins in a map-reduce environment[J]. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(9): 1282-1298.
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[4] |
Kimmett, Thomo A, Venkatesh S. Three-way joins on MapReduce: An experimental study[C]// Proceedings of the 5th International Conference on Information, Intelligence, Systems and Applications. Crete, Greece: IEEE Press, 2014: 227-232.
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[5] |
Yan K, Zhu H. Two MRJs for multi-way theta-join in MapReduce[C]// Proceedings of the 6th International Conference on Internet and Distributed Computing Systems. Hangzhou, China: Springer, 2013:321-332.
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[6] |
Dittrich J, Quiané-Ruiz J A, Jindal A, et al. Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing)[C]// Proceedings of the 36th International Conference on Very Large Data Bases. Singapore: ACM Press, 2010: 518-529.
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[7] |
Eltabakh M Y, Tian Y Y, ?zcan F, et al. Cohadoop: Flexible data placement and its exploitation in hadoop[C]// Proceedings of the 37th International Conference on Very Large Data Bases. Seattle, USA: ACM Press, 2011: 575-585.
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[8] |
Yang H C, Dasdan A, Hsiao R L, et al. Map-reduce-merge: Simplified relational data processing on large clusters[C]// Proceedings of the ACM SIGMOD International Conference on Management of Data. Beijing, China: ACM Press, 2007: 1029-1040.
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[9] |
Blanas S, Patel J M, Ercegovac V, et al. A comparison of join algorithms for log processing in MapReduce[C]// Proceedings of the ACM SIGMOD International Conference on Management of Data. Indianapolis, USA: ACM Press, 2010: 975-986.
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[10] |
Zhang X X, Guo Z L, Guo H L, et al. CasJoin: A Cascade Chain for Text Similarity Joins[C]// Proceedings of the 19th ACM international conference on Information and knowledge management. New York, USA: ACM Press, 2010: 1725-1728.
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[11] |
Blanas S, Li Y N, Patel J M. Design and evaluation of main memory hash join algorithms for multi-core CPUs[C]// Proceedings of the 2011 ACM SIGMOD International Conference on Management of data. Athens, Greece: ACM Press, 2011:37-48.
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[12] |
Yuan Y, Wang D, Liu J C. Joint scheduling of MapReduce jobs with servers: Performance bounds and experiments[C]// Proceedings of the IEEE Conference on Computer Communications. Toronto, Canada: ACM Press, 2014: 2175-2183.
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[13] |
Hunt P, Konar M, Junqueira F P, et al. ZooKeeper: Wait-free coordination for Internet-scale systems[C]// Proceedings of the Annual Technical Conference. Boston, USA: ACM Press, 2010:11-24.)
|
[1] |
Slagter K, Hsu C H, Chung Y C, et al. SmartJoin: A network-aware multiway join for MapReduce[J]. Cluster Computing, 2014, 17(3): 629-641.
|
[2] |
Jiang D W, Tung A K H, Chen G. MAP-JOIN-REDUCE: toward scalable and efficient data analysis on large clusters[J]. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(9): 1299-1311.
|
[3] |
Afrati F N, Ullman J D. Optimizing multiway joins in a map-reduce environment[J]. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(9): 1282-1298.
|
[4] |
Kimmett, Thomo A, Venkatesh S. Three-way joins on MapReduce: An experimental study[C]// Proceedings of the 5th International Conference on Information, Intelligence, Systems and Applications. Crete, Greece: IEEE Press, 2014: 227-232.
|
[5] |
Yan K, Zhu H. Two MRJs for multi-way theta-join in MapReduce[C]// Proceedings of the 6th International Conference on Internet and Distributed Computing Systems. Hangzhou, China: Springer, 2013:321-332.
|
[6] |
Dittrich J, Quiané-Ruiz J A, Jindal A, et al. Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing)[C]// Proceedings of the 36th International Conference on Very Large Data Bases. Singapore: ACM Press, 2010: 518-529.
|
[7] |
Eltabakh M Y, Tian Y Y, ?zcan F, et al. Cohadoop: Flexible data placement and its exploitation in hadoop[C]// Proceedings of the 37th International Conference on Very Large Data Bases. Seattle, USA: ACM Press, 2011: 575-585.
|
[8] |
Yang H C, Dasdan A, Hsiao R L, et al. Map-reduce-merge: Simplified relational data processing on large clusters[C]// Proceedings of the ACM SIGMOD International Conference on Management of Data. Beijing, China: ACM Press, 2007: 1029-1040.
|
[9] |
Blanas S, Patel J M, Ercegovac V, et al. A comparison of join algorithms for log processing in MapReduce[C]// Proceedings of the ACM SIGMOD International Conference on Management of Data. Indianapolis, USA: ACM Press, 2010: 975-986.
|
[10] |
Zhang X X, Guo Z L, Guo H L, et al. CasJoin: A Cascade Chain for Text Similarity Joins[C]// Proceedings of the 19th ACM international conference on Information and knowledge management. New York, USA: ACM Press, 2010: 1725-1728.
|
[11] |
Blanas S, Li Y N, Patel J M. Design and evaluation of main memory hash join algorithms for multi-core CPUs[C]// Proceedings of the 2011 ACM SIGMOD International Conference on Management of data. Athens, Greece: ACM Press, 2011:37-48.
|
[12] |
Yuan Y, Wang D, Liu J C. Joint scheduling of MapReduce jobs with servers: Performance bounds and experiments[C]// Proceedings of the IEEE Conference on Computer Communications. Toronto, Canada: ACM Press, 2014: 2175-2183.
|
[13] |
Hunt P, Konar M, Junqueira F P, et al. ZooKeeper: Wait-free coordination for Internet-scale systems[C]// Proceedings of the Annual Technical Conference. Boston, USA: ACM Press, 2010:11-24.)
|