Abstract
Cloud-based products heavily rely on the fast data delivery between data centers and remote users - when data delivery is slow, the products’ performance is crippled. When slow data delivery occurs, engineers need to investigate and root cause the issue.
To facilitate the investigations, we propose an algorithm to automatically identify the performance bottleneck. The algorithm aggregates information from multiple layers of data sender and receiver. It helps to automatically isolate the problem type by identifying which component of sender/receiver/network is the bottleneck. After isolation, successive efforts can be taken to root cause the exact problem. We also build a prototype to demonstrate the effectiveness of the algorithm.
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References
Das, S., Botev, C., et al.: All aboard the databus!: Linkedin’s scalable consistent change data capture platform. In: SoCC 2012, New York, NY, USA (2012)
Grieco, L.A., Mascolo, S.: Performance evaluation and comparison of Westwood+, New Reno, and Vegas TCP congestion control. SIGCOMM Comput. Commun. Rev. 34(2), 25–38 (2004)
https://bugzilla.redhat.com/show_bug.cgi?id=705989: Performance regression on tcp\_stream throughput
Nam, S.Y., Kim, S.J., Lee, S., Kim, H.S.: Estimation of the available bandwidth ratio of a remote link or path segments. Comput. Netw. 57(1), 61–77 (2013). http://dx.doi.org/10.1016/j.comnet.2012.08.015
Schulzrinne, H., Casner, S., Frederick, R., Jacobson, V.: RTP: a transport protocol for real-time applications (2003)
Sinha, P., Nandagopal, T., Venkitaraman, N., Sivakumar, R., Bharghavan, V.: WTCP: a reliable transport protocol for wireless wide-area networks. Wirel. Netw. 8(2/3), 301–316 (2002)
Sumbaly, R., Kreps, J., Gao, L., Feinberg, A., Soman, C., Shah, S.: Serving large-scale batch computed data with project voldemort. In: Proceedings of the 10th USENIX Conference on File and Storage Technologies, FAST 2012, Berkeley, CA, USA, p. 18 (2012)
Zhu, J., Roy, S., Kim, J.H.: Performance modelling of TCP enhancements in terrestrial-satellite hybrid networks. IEEE/ACM Trans. Netw. 14(4), 753–766 (2006)
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Zhuang, Z., Ramachandra, H., Sridharan, B. (2015). Guarding Fast Data Delivery in Cloud: An Effective Approach to Isolating Performance Bottleneck During Slow Data Delivery. In: Qiang, W., Zheng, X., Hsu, CH. (eds) Cloud Computing and Big Data. CloudCom-Asia 2015. Lecture Notes in Computer Science(), vol 9106. Springer, Cham. https://doi.org/10.1007/978-3-319-28430-9_1
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DOI: https://doi.org/10.1007/978-3-319-28430-9_1
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