Cruz, Breno Dantas, Paul, Arnab K., Song, Zheng, and Tilevich, Eli. Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications. Retrieved from https://par.nsf.gov/biblio/10237426. 2020 IEEE International Conference on Smart Data Services (SMDS) . Web. doi:10.1109/SMDS49396.2020.00009.

Cruz, Breno Dantas, Paul, Arnab K., Song, Zheng, & Tilevich, Eli. Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications. 2020 IEEE International Conference on Smart Data Services (SMDS), (). Retrieved from https://par.nsf.gov/biblio/10237426. https://doi.org/10.1109/SMDS49396.2020.00009

Cruz, Breno Dantas, Paul, Arnab K., Song, Zheng, and Tilevich, Eli. "Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications". 2020 IEEE International Conference on Smart Data Services (SMDS) (). Country unknown/Code not available. https://doi.org/10.1109/SMDS49396.2020.00009. https://par.nsf.gov/biblio/10237426.

@article{osti_10237426,
place = {Country unknown/Code not available}, title = {Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications}, url = {https://par.nsf.gov/biblio/10237426}, DOI = {10.1109/SMDS49396.2020.00009}, abstractNote = {}, journal = {2020 IEEE International Conference on Smart Data Services (SMDS)}, author = {Cruz, Breno Dantas and Paul, Arnab K. and Song, Zheng and Tilevich, Eli}, editor = {null} }