Search results
Results: 16
Number of items: 16
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Hoogenkamp, B., Farshidi, S., Xin, R., Shi, Z., Chen, P., & Zhao, Z. (2022). A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments. In F. Montesi, G. A. Papadopoulos, & W. Zimmermann (Eds.), Service-Oriented and Cloud Computing: 9th IFIP WG 6.12 European Conference, ESOCC 2022, Wittenberg, Germany, March 22–24, 2022 : proceedings (pp. 65-73). (Lecture Notes in Computer Science; Vol. 13226). Springer. https://doi.org/10.1007/978-3-031-04718-3_4 -
Shi, Z., Ivankovic, V., Farshidi, S., Surbiryala, J., Zhou, H., & Zhao, Z. (2022). AWESOME: an auction and witness enhanced SLA model for decentralized cloud marketplaces. Journal of Cloud Computing, 11, Article 27. https://doi.org/10.1186/s13677-022-00292-8 -
Farshidi, S., & Zhao, Z. (2022). An Adaptable Indexing Pipeline for Enriching Meta Information of Datasets from Heterogeneous Repositories. In J. Gama, T. Li, Y. Yu, E. Chen, Y. Zheng, & F. Teng (Eds.), Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022 : proceedings (Vol. II, pp. 472-484). (Lecture Notes in Computer Science; Vol. 13281), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-05936-0_37 -
Farshidi, S., & Zhao, Z. (2021, November 19). KMS-ENVRI [Data set]. Mendeley Data. https://doi.org/10.17632/n3khm4pnsd.1
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Shi, Z., Farshidi, S., Zhou, H., & Zhao, Z. (2021). An auction and witness enhanced trustworthy SLA model for decentralized cloud marketplaces. In GoodIT '21: proceedings of the Conference on Information Technology for Social Good : September 9-11, 2021, Roma, Italy (pp. 109-114). The Association for Computing Machinery. https://doi.org/10.1145/3462203.3475876, https://doi.org/10.1145/3462203.3475876 -
Poon, L., Farshidi, S., Li, N., & Zhao, Z. (2021). Unsupervised Anomaly Detection in Data Quality Control. In Y. Chen, H. Ludwig, Y. Tu, U. Fayyad, X. Zhu, X. Hu, S. Byna, X. Liu, J. Zhang, S. Pan, V. Papalexakis, J. Wang, A. Cuzzocrea, & C. Ordonez (Eds.), 2021 IEEE International Conference on Big Data: proceedings : Dec 15-Dec 18, 2021 : virtual event (pp. 2327-2336). IEEE. https://doi.org/10.1109/BigData52589.2021.9671672
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