Yongluan Zhou

Yongluan Zhou

Professor


  1. 2017
  2. 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 proceedingConference abstract in proceedingsResearchpeer-review

  3. 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 proceedingArticle in proceedingsResearchpeer-review

  4. 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 proceedingArticle in proceedingsResearchpeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. Parallel SPARQL query optimization

    Wu, B., Zhou, Yongluan, Jin, H. & Deshpande, A., 2017, Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE). IEEE Press, p. 547-558 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 178773533