Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

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  1. 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

  2. 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

  3. Attribute outlier detection over data streams

    Cao, H., Zhou, Yongluan, Shou, L. & Chen, G., 2010, Database Systems for Advanced Applications: 15th International Conference, DASFAA 2010, Tsukuba, Japan, April 1-4, 2010, Proceedings, Part II. Kitagawa, H., Ishikawa, Y., Li, Q. & Watanabe, C. (eds.). Springer, p. 216-230 15 p. (Lecture notes in computer science, Vol. 5982).

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

  4. Adaptive grid-based k-median clustering of streaming data with accuracy guarantee

    Cao, J., Zhou, Yongluan & Wu, M., 2015, Database Systems for Advanced Applications: 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015, Proceedings, Part I. Renz, M., Shahabi, C., Zhou, X. & Cheema, M. A. (eds.). Springer, Vol. Part I. p. 75-91 17 p.

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

  5. On optimizing relational self-joins

    Cao, Y., Zhou, Yongluan, Chan, C. Y. & Tan, K., 2012, Proceedings of the 15th International Conference on Extending Database Technology. New York: Association for Computing Machinery, p. 120-131 12 p.

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

  6. 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

  7. 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 p. 4

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

  8. 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. (eds.). OpenProceedings.org, p. 1-12 12 p.

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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Published

    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, p. 91–102

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

  14. 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. (eds.). Australian Computer Society, p. 61-70 10 p. (Conferences in Research and Practice in Information Technology, Vol. 124).

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

  15. 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

  16. Multi-scale dissemination of time series data

    Guo, Q., Zhou, Yongluan & Su, L., Jul 2013, Proceedings of the 25th International Conference on Scientific and Statistical Database Management. Szalay, A., Budavari, T., Balazinska, M., Meliou, A. & Sacan, A. (eds.). Association for Computing Machinery, 12 p. 14

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

  17. 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

  18. Cluster-based rank query over multidimensional data streams

    He, D., Zhou, Yongluan, Shou, L. & Chen, G., 2009, Proceedings of the 18th ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1493-1496 4 p.

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

  19. 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

  20. Efficient pattern detection over a distributed framework

    Leghari, A. K., Wolf, M. & Zhou, Yongluan, 2015, Enabling Real-Time Business Intelligence: International Workshops, BIRTE 2013, Riva del Garda, Italy, August 26, 2013, and BIRTE 2014, Hangzhou, China, September 1, 2014, Revised Selected Papers. Castellanos, M., Dayal, U., Pedersen, T. B. & Tatbul, N. (eds.). Springer, p. 133-149 17 p. (Lecture Notes in Business Information Processing, Vol. 206).

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

  21. Distributed sequence pattern detection over multiple data streams

    Leghari, A. K., Cao, J. & Zhou, Yongluan, 2015, Advances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings. Tadeusz, M., Valduriez, P. & Bellatreche, L. (eds.). Springer, p. 380-394 15 p. (Lecture notes in computer science, Vol. 9282).

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

  22. Feedback based continuous skyline queries over a distributed framework

    Leghari, A. K., Cao, J. & Zhou, Yongluan, 2015, Advances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015, Proceedings. Tadeusz, M., Valduriez, P. & Bellatreche, L. (eds.). Springer, p. 287-301 15 p.

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

  23. Published

    Enforcing Consistency in Microservice Architectures through Event-based Constraints

    Lesniak, A., Nunes Laigner, Rodrigo & Zhou, Yongluan, 28 Jun 2021, ACM International Conference on Distributed and Event‐based Systems (DEBS). 2021 ed. Minal, Italy: Association for Computing Machinery, p. 180–183

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

  24. Published

    Hybrid Deterministic and Nondeterministic Execution of Transactions in Actor Systems

    Liu, Yijian, Su, L., Shah, V., Zhou, Yongluan & Vaz Salles, M. A., 2022, SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, Inc., p. 65-78

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

  25. 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

  26. Continuous skyline monitoring over distributed data streams

    Lu, H., Zhou, Yongluan & Haustad, J., 2010, Scientific and Statistical Database Management: 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30–July 2, 2010. Proceedings. Gertz, M. & Ludäscher, B. (eds.). Springer, p. 565-583 19 p. (Lecture notes in computer science, Vol. 6187).

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

  27. 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

  28. Published

    Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests

    Lülf, C., Mayr Lima Martins, D., Vaz Salles, M. A., Zhou, Yongluan & Gieseke, Fabian Cristian, 2023, In: Proceedings of the VLDB Endowment. 16, 13, p. 2845–2857

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

  29. 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

  30. Matching query processing in high-dimensional space

    Ma, C., Zhou, Yongluan, Shou, L., Dai, D. & Chen, G., 2011, Proceedings of the 20th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 1589-1594 6 p.

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

  31. 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

  32. 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

  33. Grand challenge: MapReduce-style processing of fast sensor data

    Madsen, K. G. S., Su, L. & Zhou, Yongluan, 2013, DEBS’13: Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems. Association for Computing Machinery, p. 313-318 6 p.

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

  34. Integrating fault-tolerance and elasticity in a distributed data stream processing system

    Madsen, K. G. S., Thyssen, P. P. & Zhou, Yongluan, 2014, Proceedings of the 26th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 4 p. 48

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

  35. Dynamic resource management in a MapReduce-style platform for fast data processing

    Madsen, K. G. S. & Zhou, Yongluan, Apr 2015, Proceedings of the 31st IEEE International Conference on Data Engineering Workshops. IEEE, p. 10-13 4 p.

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

  36. Dynamic resource management in a massively parallel stream processing engine

    Madsen, K. G. S. & Zhou, Yongluan, 2015, Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 13-22 10 p.

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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

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