Yongluan Zhou
Professor
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
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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. 28-32Research output: Contribution to journal › Journal article › Research › peer-review
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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
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
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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. 2845–2857Research output: Contribution to journal › Conference article › Research › peer-review
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
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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. 3348–3361Research output: Contribution to journal › Conference article › Research › peer-review
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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
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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
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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 journal › Conference article › Research › peer-review
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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. 32-45Research output: Contribution to journal › Journal article › Research › peer-review
ID: 178773533
Most downloads
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1201
downloads
ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
470
downloads
Graph Processing on GPUs: A Survey
Research output: Contribution to journal › Review › Research › peer-review
Published -
393
downloads
Deca: a Garbage Collection Optimizer for In-memory Data Processing
Research output: Contribution to journal › Journal article › Research › peer-review
Published