Optimizing Geo-Distributed Streaming Analytics
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-77525-8_155
Reference34 articles.
1. Agarwal S et al (2013) BlinkDB: queries with bounded errors and bounded response times on very large data. In: Proceedings of EuroSys, pp 29–42
2. Akidau T et al (2013) MillWheel: fault-tolerant stream processing at Internet scale. Proc VLDB Endow 6(11):1033–1044
3. Akidau T et al (2015) The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proc VLDB Endow 8:1792–1803
4. Amur H et al (2013) Memory-efficient groupby-aggregate using compressed buffer trees. In: Proceedings of the symposium on cloud computing (SoCC)
5. Apache Flink (2016) Scalable batch and stream data processing. http://flink.apache.org/
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