Yongluan Zhou

Yongluan Zhou

Professor


  1. 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 proceedingArticle in proceedingsResearchpeer-review

  2. 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 proceedingArticle in proceedingsResearchpeer-review

  3. 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

  4. Sequence pattern matching over event data with temporal uncertainty

    Zhou, Yongluan, Ma, C., Guo, Q., Shou, L. & Chen, G., 2014, Proceedings of the 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, March 24-28, 2014.. Amer-Yahia, S., Christophides, V., Kementsietsidis, A., Garofalakis, M., Idreos, S. & Leroy, V. (eds.). OpenProceedings.org, p. 205-216 12 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  5. Multi-query scheduling for time-critical data stream applications

    Zhou, Yongluan, Wu, J. & Leghari, A. K., Jul 2013, Proceedings of the 25th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Scalable delivery of stream query results

    Zhou, Yongluan, Salehi, A. & Aberer, K., 2009, VLDB ‘09. Jagadish, H. V. (ed.). VLDB Endowment, p. 49-60 12 p. (Proceedings of the VLDB Endowment; No. 1, Vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. 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 proceedingArticle in proceedingsResearchpeer-review

  9. 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 proceedingArticle in proceedingsResearchpeer-review

  10. 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 journalJournal articlepeer-review

  11. Scalable and adaptable distributed stream processing

    Zhou, Yongluan, 2006, Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006. IEEE, 5 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. 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 journalJournal articlepeer-review

  13. 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 proceedingArticle in proceedingsResearchpeer-review

  14. 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 proceedingArticle in proceedingsResearchpeer-review

  15. Rethinking the design of distributed stream processing systems

    Zhou, Yongluan, Aberer, K., Salehi, A. & Tan, K., 2008, IEEE 24th International Conference on Data Engineering Workshop, 2008. IEEE, p. 182-187 6 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  16. Toward massive query optimization in large-scale distributed stream systems

    Zhou, Yongluan, Aberer, K. & Tan, K., 2008, Middleware 2008: ACM/IFIP/USENIX 9th International Middleware Conference Leuven, Belgium, December 1-5, 2008 Proceedings. Issarny, V. & Schantz, R. (eds.). Springer, p. 326-345 20 p. (Lecture notes in computer science, Vol. 5346).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  17. 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 proceedingArticle in proceedingsResearchpeer-review

  18. PMJoin: optimizing distributed multi-way stream joins by stream partitioning

    Zhou, Yongluan, Yan, Y., Yu, F. & Zhou, A., 2006, Database Systems for Advanced Applications: 11th International Conference, DASFAA 2006, Singapore, April 12-15, 2006. Proceedings. Lee, M. L., Tan, K-L. & Wuwongse, V. (eds.). Springer, p. 325-341 17 p. (Lecture notes in computer science, Vol. 3882).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  19. Optimizing continuous multijoin queries over distributed streams

    Zhou, Yongluan, Yan, Y., Ooi, B. C., Tan, K. & Zhou, A., 2005, Proceedings of the 14th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 221-222 2 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  20. 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 journalJournal articlepeer-review

  21. 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 journalJournal articlepeer-review

  22. Published

    A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance

    Xu, Yibin, Zheng, J., Duedder, Boris, Slaats, Tijs & Zhou, Yongluan, 26 Feb 2024, Network and Distributed System Security (NDSS) Symposium 2024.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  23. Query allocation in wireless sensor networks with multiple base stations

    Xiang, S., Zhou, Yongluan, Lim, H. B. & Tan, K., 2009, Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 21-23, 2009. Proceedings. Zhou, X., Yokota, H., Ding, K. & Liu, Q. (eds.). Springer Science+Business Media, p. 107-122 16 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  24. Two-tier multiple query optimization for sensor networks

    Xiang, S., Lim, H. B., Tan, K. & Zhou, Yongluan, 2007, 27th International Conference on Distributed Computing Systems, 2007. IEEE, 9 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  25. Similarity-aware query allocation in sensor networks with multiple base stations

    Xiang, S., Lim, H. B., Tan, K. & Zhou, Yongluan, 2007, Proceedings of the 4th Workshop on Data Management for Sensor Networks: in conjunction with 33rd International Conference on Very Large Data Bases. Association for Computing Machinery, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  26. 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 proceedingArticle in proceedingsResearchpeer-review

  27. 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 proceedingArticle in proceedingsResearchpeer-review

  28. 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 proceedingArticle in proceedingsResearchpeer-review

  29. 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 journalJournal articlepeer-review

  30. 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 proceedingArticle in proceedingsResearchpeer-review

  31. 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 proceedingArticle in proceedingsResearchpeer-review

  32. 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 proceedingArticle in proceedingsResearchpeer-review

  33. 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 proceedingArticle in proceedingsResearchpeer-review

  34. 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 proceedingArticle in proceedingsResearchpeer-review

  35. 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 journalJournal articlepeer-review

  36. 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 journalConference articlepeer-review

  37. 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 proceedingArticle in proceedingsResearchpeer-review

  38. 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 proceedingArticle in proceedingsResearchpeer-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 journalReviewpeer-review

  40. 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 proceedingArticle in proceedingsResearchpeer-review

  41. 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 journalJournal articlepeer-review

  42. 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 proceedingArticle in proceedingsResearchpeer-review

  43. 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 journalConference articlepeer-review

  44. 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 proceedingArticle in proceedingsResearchpeer-review

  45. 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 proceedingArticle in proceedingsResearchpeer-review

  46. 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 proceedingArticle in proceedingsResearchpeer-review

  47. 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 proceedingArticle in proceedingsResearchpeer-review

  48. 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 proceedingArticle in proceedingsResearchpeer-review

  49. 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 proceedingArticle in proceedingsResearchpeer-review

  50. 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 proceedingArticle in proceedingsResearchpeer-review

  51. 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 proceedingArticle in proceedingsResearchpeer-review

  52. 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 proceedingArticle in proceedingsResearchpeer-review

  53. 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 proceedingArticle in proceedingsResearchpeer-review

  54. 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 proceedingArticle in proceedingsResearchpeer-review

  55. 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 proceedingArticle in proceedingsResearchpeer-review

  56. 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 journalJournal articlepeer-review

  57. 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 journalConference articlepeer-review

  58. 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 proceedingArticle in proceedingsResearchpeer-review

  59. 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 proceedingArticle in proceedingsResearchpeer-review

  60. 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 journalJournal articlepeer-review

  61. 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 proceedingArticle in proceedingsResearchpeer-review

  62. 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 proceedingArticle in proceedingsResearchpeer-review

  63. 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 proceedingArticle in proceedingsResearchpeer-review

  64. 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 proceedingArticle in proceedingsResearchpeer-review

  65. 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 proceedingArticle in proceedingsResearchpeer-review

  66. 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 proceedingArticle in proceedingsResearchpeer-review

  67. 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 journalJournal articlepeer-review

  68. 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 proceedingArticle in proceedingsResearchpeer-review

  69. 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 proceedingArticle in proceedingsResearchpeer-review

  70. 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 proceedingArticle in proceedingsResearchpeer-review

  71. 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 proceedingArticle in proceedingsResearchpeer-review

  72. 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 proceedingArticle in proceedingsResearchpeer-review

  73. 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 proceedingArticle in proceedingsResearchpeer-review

  74. 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 proceedingArticle in proceedingsResearchpeer-review

  75. 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 proceedingArticle in proceedingsResearchpeer-review

  76. 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 proceedingBook chapterResearchpeer-review

  77. 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 proceedingArticle in proceedingsResearchpeer-review

  78. 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 proceedingArticle in proceedingsResearchpeer-review

  79. 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 proceedingArticle in proceedingsResearchpeer-review

  80. 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 proceedingConference abstract in proceedingsResearchpeer-review

  81. 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 proceedingArticle in proceedingsResearch

  82. 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 proceedingArticle in proceedingsResearchpeer-review

  83. 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 proceedingArticle in proceedingsResearchpeer-review

  84. 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/ReportBookpeer-review

  85. 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 journalJournal articlepeer-review

ID: 178773533