zStream: towards a low latency micro-batch streaming system

Author:

Lee Suyeon,Jeong Yeonwoo,Park Kyuli,Jung Gyeonghwan,Park SungyongORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference18 articles.

1. Lee, S., Jeong, Y., Kim, M., Park, S.: Q-spark: Qos aware micro-batch stream processing system using spark. In: 2021 IEEE International Conference on Autonomic Computing and Self-organizing Systems Companion (ACSOS-C), pp. 38–43 (2021)

2. Stonebraker, M., Çetintemel, U., Zdonik, S.: The 8 requirements of real-time stream processing. SIGMOD Rec. 34, 42–47 (2005)

3. Akidau, T., Chernyak, S., Lax, R.: Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing. O’Reilly Media Inc., Sebastopol (2018)

4. Sun, D., Zhang, G., Zheng, W., Li, K.: Key technologies for big data stream computing. In: Big Data Algorithms, Analytics, and Applications, pp. 1–22. Chapman and Hall/CRC (2004)

5. Xu, L., Venkataraman, S., Gupta, I., Mai, L., Potharaju, R.: Move fast and meet deadlines: Fine-grained real-time stream processing with cameo. In: 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pp. 389–405. USENIX Association (2021)

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