Yongluan Zhou

Yongluan Zhou

Professor

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    ORCID: 0000-0002-7578-8117

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    1. 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 › peer-review

    2. 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

    3. Adaptive distributed query processing

      Zhou, Yongluan, 2003, Proceedings of the VLDB 2003 PhD Workshop. Co-located with the 29th International Conference on Very Large Data Bases (VLDB 2003). Scholl, M. H. & Grust, T. (eds.). CEUR-WS.org, 5 p.

      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. Adaptive reorganization of coherency-preserving dissemination tree for streaming data

      Zhou, Yongluan, Ooi, B. C., Tan, K. & Yu, F., 2006, Proceedings of the 22nd International Conference on Data Engineering. IEEE, 10 p.

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

    6. 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

    7. An adaptable distributed query processing architecture

      Zhou, Yongluan, Ooi, B. C., Tan, K. & Tok, W. H., 2005, In: Data & Knowledge Engineering. 53, 3, p. 283-309 27 p.

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

    8. 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

    9. 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 › peer-review

    10. 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

    11. 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

    12. 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

    13. 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

    14. 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 › peer-review

    15. 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 › 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 › peer-review

    17. 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

    18. Disseminating streaming data in a dynamic environment: an adaptive and cost-based approach

      Zhou, Yongluan, Ooi, B. C. & Tan, K., 2008, In: V L D B Journal. 17, 6, p. 1465-1483 19 p.

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

    19. Dissemination of anonymized streaming data

      Zhou, Yongluan, Shou, L., Shang, X. & Chen, K., 2015, Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems. Association for Computing Machinery, p. 104-115

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

    20. Dissemination of models over time-varying data

      Zhou, Yongluan, Vagena, Z. & Haustad, J., 2011, Proceedings of the 37th International Conference on Very Large Data Bases, Seattle, WA. Jagadish, H. V., Blakeley, J., Hellerstein, J. M., Koudas, N., Lehner, W., Sarawagi, S. & Röhm, U. (eds.). VLDB Endowment, p. 864-875 (Proceedings of the VLDB Endowment; No. 11, Vol. 4).

      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. Dynamic load management for distributed continuous query systems

      Zhou, Yongluan, Ooi, B. C. & Tan, K., 2005, Proceedings of the 21st International Conference on Data Engineering. IEEE, p. 322-323 2 p.

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

    23. 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

    24. 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

    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 › peer-review

    26. Efficient dynamic operator placement in a locally distributed continuous query system

      Zhou, Yongluan, Ooi, B. C., Tan, K. & Wu, J., 2006, On the Move to Meaningful Internet Systems 2006: OTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006, Montpellier, France, October 29 - November 3, 2006. Proceedings, Part I. Meersman, R. & Tari, Z. (eds.). Springer, p. 54-71 18 p. (Lecture notes in computer science, Vol. 4275).

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

    27. 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

    28. 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

    29. Elastic execution of continuous mapreduce jobs over data streams

      Zhou, Yongluan & Madsen, K. G. S., 27 Aug 2015, Patent No. WO2013EP65895, 27 Aug 2015, Priority date 29 Jul 2013, Priority No. US201314419354

      Research output: Patent

    30. 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

    31. 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

    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. 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

    34. Published

      Event-based data-centric semantics for consistent data management in microservices

      Zuckmantel, Tilman, Duedder, Boris, Zhou, Yongluan & Hildebrandt, Thomas Troels, 2022, DEBS '22: Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems. Association for Computing Machinery, p. 97-102

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

    35. 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

    36. 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

    37. 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

    38. 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

    39. 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 › peer-review

    40. 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

    41. 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 › peer-review

    42. 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

    43. 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

    44. 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

    45. 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

    46. Leveraging distributed publish/subscribe systems for scalable stream query processing

      Zhou, Yongluan, Tan, K. & Yu, F., 2006, Business Intelligence for the Real-Time Enterprises: First International Workshop, BIRTE 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers. Bussler, C., Castellanos, M., Dayal, U. & Navathe, S. (eds.). Springer, p. 20-33 14 p.

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

    47. 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

    48. 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

    49. 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 › peer-review

    50. 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

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