Straggler identification approach in large data processing frameworks using ensembled gradient boosting in smart-cities cloud services

Author:

Deshmukh ShyamORCID,Rao Komati Thirupathi

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Reference47 articles.

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3. Ananthanarayanan, G., Hung, M. C.-C., Ren, X., Stoica, I., Wierman, A. and Yu, M. (2014) GRASS: Trimming stragglers in approximation analytics, Proceedings NSDI, pp 289–302, 2014. https://www.usenix.org/system/files/conference/nsdi14/nsdi14-paper-ananthanarayanan.pdf

4. Balaji K. and Sai Kiran P. (2017) Efficient resource allocation algorithm with optimal throughput in cloud computing. J Adv Res Dyn Control Syst 9: 1902–1910. https://www.jardcs.org/backissues/abstract.php?archiveid=2606

5. Carbone, P., Katsifodimos, A., Ewen, S., Markl, V., Haridi, S. et al. (2015), Apache flink: Stream and batch processing in a single engine. Bull IEEE Comput Soc Tech Comm Data Eng, 36(4). http://asterios.katsifodimos.com/assets/publications/flink-deb.pdf

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