Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

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  1. Optimizing continuous multijoin queries over distributed streams

    Zhou, Yongluan, Yan, Y., Ooi, B. C., Tan, K. & Zhou, A., 2005, Proceedings of the 14th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 221-222 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. PMJoin: optimizing distributed multi-way stream joins by stream partitioning

    Zhou, Yongluan, Yan, Y., Yu, F. & Zhou, A., 2006, Database Systems for Advanced Applications: 11th International Conference, DASFAA 2006, Singapore, April 12-15, 2006. Proceedings. Lee, M. L., Tan, K-L. & Wuwongse, V. (eds.). Springer, p. 325-341 17 p. (Lecture notes in computer science, Vol. 3882).

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  3. Parallel SPARQL query optimization

    Wu, B., Zhou, Yongluan, Jin, H. & Deshpande, A., 2017, Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE). IEEE Press, p. 547-558 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Parallel distributed processing of constrained skyline queries by filtering

    Cui, B., Lu, H., Xu, Q., Chen, L., Dai, Y. & Zhou, Yongluan, 2008, IEEE 24th International Conference on Data Engineering, 2008. IEEE, p. 546-555 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. 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

  6. Progressive recovery of correlated failures in distributed stream processing engines

    Su, L. & Zhou, Yongluan, 2017, Advances in Database Technology: Proceedings of the 20th International Conference on Extending Database Technology. Markl, V., Orlando, S., Mitschang, B., Andritsos, P., Sattler, K-U. & Breß, S. (eds.). OpenProceedings.org, p. 518-521 4 p. (Advances in Database Technology, Vol. 2017).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. QoS-oriented multi-query scheduling over data streams

    Wu, J., Tan, K. & Zhou, Yongluan, 2009, Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. Proceedings. Zhou, X., Yokota, H., Deng, K. & Liu, Q. (eds.). Springer Science+Business Media, p. 215-229 15 p. (Lecture notes in computer science, Vol. 5463).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Query allocation in wireless sensor networks with multiple base stations

    Xiang, S., Zhou, Yongluan, Lim, H. B. & Tan, K., 2009, Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. Proceedings. Zhou, X., Yokota, H., Ding, K. & Liu, Q. (eds.). Springer Science+Business Media, p. 107-122 16 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. 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

  10. Published

    RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery

    Lülf, C., Martins, D. M. L., Salles, M. A. V., Zhou, Yongluan & Gieseke, Fabian Cristian, 2023, 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023. Damiani, M. L., Renz, M., Eldawy, A., Kroger, P. & Nascimento, M. A. (eds.). Association for Computing Machinery, Inc., p. 1-4 58. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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