Yongluan Zhou

Yongluan Zhou

Professor


  1. 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 proceedingArticle in proceedingsResearchpeer-review

  2. 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 proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Enforcing Consistency in Microservice Architectures through Event-based Constraints

    Lesniak, A., Nunes Laigner, Rodrigo & Zhou, Yongluan, 28 Jun 2021, ACM International Conference on Distributed and Event‐based Systems (DEBS). 2021 ed. Minal, Italy: Association for Computing Machinery, p. 180–183

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

  4. 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 proceedingArticle in proceedingsResearchpeer-review

  5. Elastic execution of continuous mapreduce jobs over data streams

    Zhou, Yongluan & Madsen, K. G. S., 27 Aug 2015, Patent No. WO2013EP65895, 27 Aug 2015, Priority date 29 Jul 2013, Priority No. US201314419354

    Research output: Patent

  6. 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 proceedingArticle in proceedingsResearchpeer-review

  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. Efficient dynamic operator placement in a locally distributed continuous query system

    Zhou, Yongluan, Ooi, B. C., Tan, K. & Wu, J., 2006, On the Move to Meaningful Internet Systems 2006: OTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE 2006, Montpellier, France, October 29 - November 3, 2006. Proceedings, Part I. Meersman, R. & Tari, Z. (eds.). Springer, p. 54-71 18 p. (Lecture notes in computer science, Vol. 4275).

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

  9. 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 journalJournal articleResearchpeer-review

  10. 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 proceedingArticle in proceedingsResearchpeer-review

ID: 178773533