Yongluan Zhou
Professor
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
- 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
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
- 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
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
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. 48Research 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
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
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
- 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
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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