Yongluan Zhou

Yongluan Zhou

Professor

ORCID: 0000-0002-7578-8117

Publication year:
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  1. 2020
  2. 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 9101499

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    Advances in Database Technology - EDBT 2020, 23rd International Conference on Extending Database Technology, Copenhagen, Denmark, March 30 - April 02, Proceedings

    Bonifati, A. (ed.), Zhou, Yongluan (ed.), Vaz Salles, M. A. (ed.), Boehm, A. (ed.), Olteanu, D. (ed.), Fletcher, G. (ed.), Khan, A. (ed.) & Yang, B. (ed.), 2020, OpenProceedings. 663 p.

    Research output: Book/Report › Book › Research › peer-review

  4. 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. 60-73

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. 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 9226286

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    LsRec: Large-scale social recommendation with online update

    Zhou, W., Zhou, Yongluan, Li, J. & Memon, M. H., 2020, In: Expert Systems with Applications. 162, 113739.

    Research output: Contribution to journal › Journal article › Research › peer-review

ID: 178773533