Yongluan Zhou
Professor
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
- 2024
- 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 proceeding › Article in proceedings › Research › peer-review
- 2023
- 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. 91–102Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 2022
- 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. 97-102Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 65-78Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2021
- 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. 25–30Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 180–183Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 176–179Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 66-77Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- 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 9101499Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 60-73Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 9226286Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2019
- 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. 67-78Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 512-523Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2018
- 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
- 2017
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
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
- 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
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
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
- 2016
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
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
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
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
- 2015
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
ID: 178773533
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ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems
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Graph Processing on GPUs: A Survey
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Deca: a Garbage Collection Optimizer for In-memory Data Processing
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