A new fragments allocating method for join query in distributed database

Jintao GAO, Zhanhuai LI, Wenjie LIU, Zhijun GUO, Yantao YUE

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PDF(119 KB)
Front. Comput. Sci. ›› 2020, Vol. 14 ›› Issue (4) : 144608. DOI: 10.1007/s11704-019-9032-1
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A new fragments allocating method for join query in distributed database

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Jintao GAO, Zhanhuai LI, Wenjie LIU, Zhijun GUO, Yantao YUE. A new fragments allocating method for join query in distributed database. Front. Comput. Sci., 2020, 14(4): 144608 https://doi.org/10.1007/s11704-019-9032-1

References

[1]
Cherniack M, Balakrishnan H, Balazinska M, Carney D, Çetintemel U, Xing Y, Zdonik S B. Scalable distributed stream processing. In: Proceedings of the Conference on Innovative Data Systems Research. 2003
[2]
Kloudas K, Mamede M, Preguiça N, Rodrigues R. Pixida: optimizing data parallel jobs in wide-area data analytics. Proceedings of the VLDB Endowment, 2015, 9(2): 72–83
CrossRef Google scholar
[3]
Rupprecht L,Culhane W, Pietzuch P. Squirreljoin: network-aware distributed join processing with lazy partitioning. Proceedings of the VLDB Endowment, 2017, 10(11): 1250–1261
CrossRef Google scholar
[4]
Yi L, Shanbhag A A,Jindal A, Madden S R. AdaptDB: adaptive partitioning for distributed joins. Proceedings of the VLDB Endowment, 2017, 10(5): 589–600
CrossRef Google scholar
[5]
Li T, Xu Z, Tang T, Wang Y. Model-free control for distributed stream data processing using deep reinforcement learning. Proceedings of the VLDB Endowment, 2018, 11(6): 705–718
CrossRef Google scholar
[6]
Ammar K,Mcsherry F,Salihoglu S, Joglekar M. Distributed evaluation of subgraph queries using worstcase optimal lowmemory dataflows. Proceedings of the VLDB Endowment, 2018, 11(6): 691–704
CrossRef Google scholar
[7]
Kathuria T, Sudarshan S. Efficient and provable multi-query optimization. In: Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. 2017, 53–67
CrossRef Google scholar

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