Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

Publication year:
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51 - 75 out of 85Page size: 25
  1. 2016

  2. Materialized view selection in feed following systems

    Chen, K. & Zhou, Yongluan, 2016, Proceedings of the 2016 IEEE International Conference on Big Data. IEEE Press, p. 442-451 10 p.

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

  3. Lifetime-based memory management for distributed data processing systems

    Lu, L., Shi, X., Zhou, Yongluan, Zhang, X., Jin, H., Pei, C., He, L. & Geng, Y., 1 Aug 2016, Proceedings of the 42nd International Conference on Very Large Data Bases, New Delhi, India. Chaudhuri, S. & Haritsa, J. (eds.). VLDB Endowment, p. 936-947 12 p. (Proceedings of the VLDB Endowment; No. 12, Vol. 9).

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

  4. 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

  5. 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

  6. 2017
  7. Published

    Lever: towards low-latency batched stream processing by pre-scheduling

    Chen, F., Wu, S., Jin, H., Yao, Y., Liu, Z., Gu, L. & Zhou, Yongluan, 2017, Proceedings of the 2017 Symposium on Cloud Computing. Association for Computing Machinery, p. 643-643 1 p.

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

  8. CBP: a new parallelization paradigm for massively distributed stream processing

    Guo, Q. & Zhou, Yongluan, 2017, Database Systems for Advanced Applications: 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Candan, S., Chen, L., Pedersen, T. B., Chang, L. & Hua, W. (eds.). Springer, Vol. Part II. p. 304-320 17 p.

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

  9. 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

  10. 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

  11. 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

  12. 2018
  13. Published

    Stateful load balancing for parallel stream processing

    Guo, Q. & Zhou, Yongluan, 1 Jan 2018, Euro-Par 2017: Parallel Processing Workshops. Heras, D. B., Bougé, L., Mencagli, G., Jeannot, E., Sakellariou, R., Badia, R. M., Barbosa, J. G., Ricci, L., Scott, S. L., Lankes, S. & Weidendorfer, J. (eds.). Springer, p. 80-93 14 p. (Lecture notes in computer science, Vol. 10659).

    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

    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

  16. 2019
  17. Published

    Location-Centric View Selection in a Location-Based Feed-Following System

    Chen, K. & Zhou, Yongluan, 2019, Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, DEBS 2019, Darmstadt, Germany, June 24-28, 2019.. Association for Computing Machinery, p. 67-78

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

  18. 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

  19. 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

  20. 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

  21. 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

  22. Published

    Bayesian pairwise learning to rank via one-class collaborative filtering

    Zhou, W., Li, J., Zhou, Yongluan & Memon, M. H., 2019, In: Neurocomputing. 367, p. 176-187

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

  23. 2020
  24. Published

    Advances in Database Technology - EDBT 2020, 23rd International Conference on Extending Database Technology, Copenhagen, Denmark, March 30 - April 02, Proceedings

    Bonifati, A. (ed.), Zhou, Yongluan (ed.), Vaz Salles, M. A. (ed.), Boehm, A. (ed.), Olteanu, D. (ed.), Fletcher, G. (ed.), Khan, A. (ed.) & Yang, B. (ed.), 2020, OpenProceedings. 663 p.

    Research output: Book/Report › Book › Research › peer-review

  25. 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

  26. 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

  27. 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

  28. Published

    LsRec: Large-scale social recommendation with online update

    Zhou, W., Zhou, Yongluan, Li, J. & Memon, M. H., 2020, In: Expert Systems with Applications. 162, 113739.

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

  29. 2021
  30. Published

    Holding a Conference Online and Live due to Covid-19: Experiences and Lessons Learned from EDBT / ICDT 2020

    Bonifati, A., Guerrini, G., Lutz, C., Martens, W., Mazilu, L., Paton, N. W., Vaz Salles, M. A., Scholl, M. H. & Zhou, Yongluan, 2021, In: S I G M O D Record. 49, 4, p. 28-32

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

  31. Published

    HawkEDA: A Tool for Quantifying Data Integrity Violations in Event-driven Microservices

    Das, P., Nunes Laigner, Rodrigo & Zhou, Yongluan, 28 Jun 2021, ACM International Conference on Distributed and Event‐based Systems (DEBS). 2021 ed. Association for Computing Machinery, p. 176–179

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

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