Yongluan Zhou
Professor
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
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
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
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
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
- 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
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
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
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
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
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
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
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
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
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
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
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
- 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. 3348–3361Research output: Contribution to journal › Conference article › Research › peer-review
- 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
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
- 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 › Research › peer-review
- 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
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
- 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
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
- 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
ID: 178773533
Most downloads
-
1209
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 -
478
downloads
Graph Processing on GPUs: A Survey
Research output: Contribution to journal › Review › Research › peer-review
Published -
400
downloads
Deca: a Garbage Collection Optimizer for In-memory Data Processing
Research output: Contribution to journal › Journal article › Research › peer-review
Published