Yongluan Zhou
Professor
Software, Data, People & Society
Sigurdsgade 41, 2200 København N.
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 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
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
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 proceeding › Article in proceedings › Research › peer-review
- 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
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. 14Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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
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 proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
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 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
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Graph Processing on GPUs: A Survey
Research output: Contribution to journal › Review › Research › peer-review
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395
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Deca: a Garbage Collection Optimizer for In-memory Data Processing
Research output: Contribution to journal › Journal article › Research › peer-review
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