Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

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  1. 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. (red.). Springer, Bind Part II. s. 304-320 17 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  2. Energy efficiency for MapReduce workloads: an in-depth study

    Feng, B., Lu, J., Zhou, Yongluan & Yang, N., 2012, Proceedings of the Twenty-Third Australasian Database Conference. Zhang, R. & Zhang, Y. (red.). Australian Computer Society, s. 61-70 10 s. (Conferences in Research and Practice in Information Technology, Bind 124).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    An exploratory analysis of methods for real-time data deduplication in streaming processes

    Esteves, J., Costa, R., Zhou, Yongluan & Brito De Almeida, Ana Carolina, 27 jun. 2023, DEBS '23: Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems. Association for Computing Machinery, s. 91–102

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    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 udg. Association for Computing Machinery, s. 176–179

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. 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, s. 546-555 10 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Scheduling online repartitioning in OLTP systems

    Chen, K., Zhou, Yongluan & Cao, Y., 2014, Middeware’14 Industry Short Papers: proceedings of the Industry Track of the 15th ACM/IFIP/USENIX International Conference on Middleware. Association for Computing Machinery, 6 s. 4

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

  7. Online data partitioning in distributed database systems

    Chen, K., Zhou, Yongluan & Cao, Y., 2015, Advances in Database Technology — EDBT 2015: Proceedings of the 18th International Conference on Extending Database Technology, Brussels, Belgium, March 23-27, 2015. Alonso, G., Geerts, F., Popa, L., Barceló, P., Teubner, J., Ugarte, M., van den Bussche, J. & Paredaens, J. (red.). OpenProceedings.org, s. 1-12 12 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    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, s. 67-78

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Materialized view selection in feed following systems

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

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    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, s. 643-643 1 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt

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