Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

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  1. 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

  2. Towards integrated and efficient scientific sensor data processing: a database approach

    Wu, J., Zhou, Yongluan, Aberer, K. & Tan, K., 2009, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology. Association for Computing Machinery, p. 922-933 12 p.

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

  3. Window-oblivious join: a data-driven memory management scheme for stream join

    Wu, J., Tan, K. & Zhou, Yongluan, 2007, 19th International Conference on Scientific and Statistical Database Management, 2007. IEEE, 10 p.

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

  4. 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

  5. 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

  6. Scalable SPARQL querying using path partitioning

    Wu, B., Zhou, Yongluan, Yuan, P., Liu, L. & Jin, H., 2015, 2015 IEEE 31st International Conference on Data Engineering (ICDE). IEEE, p. 795-806 12 p.

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

  7. SemStore: a semantic-preserving distributed RDF triple store

    Wu, B., Zhou, Yongluan, Yuan, P., Jin, H. & Liu, L., 2014, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. Association for Computing Machinery, p. 509-518 10 p.

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

  8. Published

    Modeling and Building IoT Data Platforms with Actor-Oriented Databases

    Wang, Y., Dos Reis, J. C., Borggren, K. M., Vaz Salles, M. A., Medeiros, C. B. & Zhou, Yongluan, 2019, Advances in Database Technology - EDBT 2019: 22nd International Conference on Extending Database Technology, Lisbon, Portugal, March 26-29, Proceedings . Kaoudi, Z., Galhardas, H., Fundulaki, I., Reinwald, B., Herschel, M. & Binnig, C. (eds.). OpenProceedings.org, p. 512-523

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

  9. 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

  10. 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

  11. 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

  12. Tolerating correlated failures in Massively Parallel Stream Processing Engines

    Su, L. & Zhou, Yongluan, 1 May 2016, 2016 IEEE 32nd International Conference on Data Engineering (ICDE). IEEE Press, p. 517-528 12 p.

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

  13. Published

    Fast Recovery of Correlated Failures in Distributed Stream Processing Engines

    Su, L. & Zhou, Yongluan, 2021, Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, DEBS 2021 . Association for Computing Machinery, p. 66-77

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

  14. 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

  15. Published

    Maxson: Reduce duplicate parsing overhead on raw data

    Shi, X., Zhang, Y., Huang, H., Hu, Z., Jin, H., Shen, H., Zhou, Yongluan, He, B., Li, R. & Zhou, K., Apr 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, p. 1621-1632 9101499

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

    ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems

    Shi, X., Feng, Z., Li, K., Zhou, Yongluan, Jin, H., Jiang, Y., He, B., Ling, Z. & Li, X., 2020, SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. Association for Computing Machinery, p. 60-73

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

  18. Published

    Data Management in Microservices: State of the Practice, Challenges, and Research Directions

    Nunes Laigner, Rodrigo, Zhou, Yongluan, Vaz Salles, M. A., Liu, Yijian & Kalinowski, M., 2021, In: Proceedings of the VLDB Endowment. 14, 13, p. 3348–3361

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

  19. Published

    A Distributed Database System for Event-based Microservices

    Nunes Laigner, Rodrigo, Zhou, Yongluan & Vaz Salles, M. A., 28 Jun 2021, ACM International Conference on Distributed and Event‐based Systems (DEBS). 2021 ed. Association for Computing Machinery, p. 25–30

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

  20. Published

    From a Monolithic Big Data System to a Microservices Event-Driven Architecture

    Nunes Laigner, Rodrigo, Kalinowski, M., Diniz, P., Barros, L., Cassino, C., Lemos, M., Arruda, D., Lifschitz, S. & Zhou, Yongluan, 2020, Proceedings of 46th Euromicro Conference on Software Engineering and Advanced Applications. IEEE, p. 213-220 9226286

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

  21. Efficient skyline computation in MapReduce

    Mullesgaard, K., Pederseny, J. L., Lu, H. & Zhou, Yongluan, 2014, Proceedings of the 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014. OpenProceedings, p. 37-48 12 p.

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

  22. Environmental monitoring 2.0

    Michel, S., Salehi, A., Luo, L., Dawes, N., Aberer, K., Barrenetxea, G., Bavay, M., Kansal, A., Kumar, K. A., Nath, S., Parlange, M., Tansley, S., van Ingen, C., Zhao, F. & Zhou, Yongluan, 2009, IEEE 25th International Conference on Data Engineering, 2009. IEEE, p. 1507-1510 4 p.

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

  23. Enorm: efficient window-based computation in large-scale distributed stream processing systems

    Madsen, K. G. S., Zhou, Yongluan & Su, L., 2016, Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems. New York, NY, USA: Association for Computing Machinery, p. 37-48 12 p.

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

  24. Integrative dynamic reconfiguration in a parallel stream processing engine

    Madsen, K. G. S., Zhou, Yongluan & Cao, J., 2017, Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE). IEEE Press, p. 227-230 4 p.

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

  25. Demo: elastic mapreduce-style processing of fast data

    Madsen, K. G. S. & Zhou, Yongluan, 2013, DEBS’13: Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems Arlington, TX, USA — June 29 - July 03, 2013. Association for Computing Machinery, p. 335-336 2 p.

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

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