Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

Publication year:
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1 - 10 out of 16Page size: 10
  1. 2005

  2. An adaptable distributed query processing architecture

    Zhou, Yongluan, Ooi, B. C., Tan, K. & Tok, W. H., 2005, In: Data & Knowledge Engineering. 53, 3, p. 283-309 27 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 2008

  4. Disseminating streaming data in a dynamic environment: an adaptive and cost-based approach

    Zhou, Yongluan, Ooi, B. C. & Tan, K., 2008, In: V L D B Journal. 17, 6, p. 1465-1483 19 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. 2009

  6. Data-driven memory management for stream join

    Wu, J., Tan, K. & Zhou, Yongluan, 1 Jun 2009, In: Information Systems. 34, 4-5, p. 454-467 14 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. 2013

  8. Efficient and scalable continuous skyline monitoring in two-tier streaming settings

    Lu, H., Zhou, Yongluan & Haustad, J., 2013, In: Information Systems. 38, 1, p. 68-81 14 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 2015

  10. PROM: efficient matching query processing on high-dimensional data

    Ma, C., Zhou, Yongluan, Shou, L. & Chen, G., 2015, In: Information Sciences. 322, p. 1-19 19 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. 2018
  12. Published

    Graph Processing on GPUs: A Survey

    Shi, X., Zheng, Z., Zhou, Yongluan, Jin, H., He, L., Liu, B. & Hua, Q., Jan 2018, In: A C M Computing Surveys. 50, 6, 35 p., 81.

    Research output: Contribution to journal › Review › Research › peer-review

  13. Published

    Query-centric failure recovery for distributed stream processing engines

    Su, L. & Zhou, Yongluan, 24 Oct 2018, In: Proceedings - International Conference on Data Engineering. 2018, p. 1280-1283 4 p.

    Research output: Contribution to journal › Conference article › Research › peer-review

  14. 2019
  15. Published

    Towards Low-Latency Batched Stream Processing by Pre-Scheduling

    Jin, H., Chen, F., Wu, S., Yao, Y., Liu, Z., Gu, L. & Zhou, Yongluan, 2019, In: IEEE Transactions on Parallel and Distributed Systems. 30, 3, p. 710-722 8444732.

    Research output: Contribution to journal › Journal article › Research › peer-review

  16. Published

    Deca: a Garbage Collection Optimizer for In-memory Data Processing

    Shi, X., Ke, Z., Zhou, Yongluan, Jin, H., Lu, L., Zhang, X., He, L., Hu, Z. & Wang, F., 2019, In: A C M Transactions on Computer Systems. 36, 1, 47 p., 3.

    Research output: Contribution to journal › Journal article › Research › peer-review

  17. Published

    Passive and partially active fault tolerance for massively parallel stream processing engines

    Su, L. & Zhou, Yongluan, 2019, In: IEEE Transactions on Knowledge and Data Engineering. 31, 1, p. 32-45

    Research output: Contribution to journal › Journal article › Research › peer-review

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